Hawassa University
College of Natural and Computational Sciences
Department of Statistics
Advanced statistical Computing:(Stat 561)
By: Tsegishet Temesgen ID_No: GpBStR/0007/15
my_data<-
library(readr)
file_name<-"./data/export.csv"
my_data<-read.csv("C:\\Users\\us\\Documents\\CustomerData.csv")
my_data
## CustomerID Region TownSize Gender Age EducationYears JobCategory
## 1 3964-QJWTRG-NPN 1 2 Female 20 15 Professional
## 2 0648-AIPJSP-UVM 5 5 Male 22 17 Sales
## 3 5195-TLUDJE-HVO 3 4 Female 67 14 Sales
## 4 4459-VLPQUH-3OL 4 3 Male 23 16 Sales
## 5 8158-SMTQFB-CNO 2 2 Male 26 16 Sales
## 6 9662-FUSYIM-1IV 4 4 Male 64 17 Service
## 7 7432-QKQFJJ-K72 2 5 Female 52 14 Professional
## 8 8959-RZWRHU-ST8 3 4 Female 44 16 Professional
## 9 9124-DZALHM-S6I 2 3 Female 66 12 Professional
## 10 3512-MUWBGY-52X 2 2 Male 47 11 Labor
## 11 5621-QSZPSF-NF2 4 1 Female 59 19 Professional
## 12 8241-PWPONH-62O 2 4 Female 33 8 Sales
## 13 8795-FYOXCT-P09 5 2 Male 44 10 Professional
## 14 1705-NMIQNO-IC4 3 2 Male 58 18 Professional
## 15 9205-PAZEXY-90Q 2 1 Female 72 20 Agriculture
## 16 4225-PZZDIY-IBH 3 1 Female 66 13 Labor
## 17 0758-EQEGIQ-3OF 1 1 Female 57 17 Agriculture
## 18 0649-TBFJFL-QU4 5 2 Male 63 14 Labor
## 19 2228-KOLOPU-FY3 5 5 Female 28 11 Professional
## 20 3853-NVDCOJ-TIN 1 1 Female 78 16 Professional
## 21 0765-UXAFYM-PDR 3 3 Male 61 16 Professional
## 22 9937-SFPLRK-H9Y 2 4 Male 70 17 Sales
## 23 0712-WQXYVV-HUP 4 1 Male 61 14 Labor
## 24 6441-FJUWZQ-7G8 3 4 Male 37 11 Professional
## 25 7634-AVNEXZ-7AG 1 3 Male 39 12 Professional
## 26 2041-PNMGHX-TXJ 4 3 Female 73 14 Service
## 27 4626-BQZAUJ-V9K 5 4 Female 26 16 Sales
## 28 2969-ODPCDX-5DC 2 1 Female 24 17 Labor
## 29 4974-FUBHDF-Z7L 3 1 Female 77 15 Professional
## 30 2525-OSULNV-0KS 5 3 Male 36 19 Professional
## 31 4973-FHPBZQ-AAA 3 5 Male 55 14 Service
## 32 4726-RQKGNB-WAK 2 2 Female 60 18 Professional
## 33 6592-QBSENI-6Y4 1 1 Female 59 8 Sales
## 34 5538-DRGHIE-PF0 1 1 Male 28 11
## 35 3550-PQUPPM-42T 3 3 Male 53 20 Sales
## 36 9809-NBCXAS-1RB 4 5 Male 36 12 Sales
## 37 8733-EDAXNE-8DV 3 1 Male 47 20 Crafts
## 38 8170-YHWTSQ-825 5 2 Male 75 11 Sales
## 39 1144-GVCZDP-8DV 2 3 Female 49 22 Professional
## 40 8846-JJEGFU-I69 1 1 Female 59 13 Professional
## 41 4226-TEHKPJ-GKG 1 2 Female 55 12 Service
## 42 9714-LCYJJB-SCS 5 2 Male 25 14 Professional
## 43 2866-TTOTKL-TA7 5 4 Male 78 11 Service
## 44 7217-UECHSF-PCR 1 1 Female 48 11 Sales
## 45 0197-AMEAYR-851 5 1 Male 47 19 Sales
## 46 1743-WAHPKT-DNW 5 1 Male 75 10 Sales
## 47 9840-VEWFQZ-W5V 3 1 Female 43 19 Sales
## 48 6203-JLXPIJ-YQZ 5 5 Male 45 10 Labor
## 49 4166-WEDNXN-5RK 5 4 Male 21 16 Service
## 50 4643-WSLHBV-DM5 2 1 Male 53 21 Service
## 51 1441-JNZRPW-8KQ 3 3 Female 30 13 Labor
## 52 5811-BKUTYY-F7I 2 1 Female 58 19 Labor
## 53 0926-OZQUQX-GXA 2 2 Male 35 11 Professional
## 54 5007-HXEVVL-NW5 3 2 Female 48 14 Professional
## 55 8101-YOBRYX-REF 3 3 Female 57 15
## 56 8267-UTARFV-TZK 4 1 Female 61 20 Service
## 57 4432-KMTQXO-788 5 4 Female 56 19 Professional
## 58 9172-WITHKP-BXZ 2 1 Female 29 17 Sales
## 59 1114-UELZXT-QT7 4 1 Female 68 11 Agriculture
## 60 0992-DNDKIT-CUP 5 3 Male 22 16 Labor
## 61 2654-JRLXAI-HC7 2 1 Female 46 10 Professional
## 62 0405-BACHZT-AYK 4 1 Male 24 17 Professional
## 63 4939-KCMADL-HLM 3 2 Female 78 16 Sales
## 64 4724-UVMKNV-Z1I 2 2 Male 73 10 Professional
## 65 4231-HZEXGK-HRI 4 3 Female 26 20 Professional
## 66 4979-WSWKYV-BSV 2 1 Female 44 15 Service
## 67 7245-IUATZR-VLV 5 1 Male 30 12 Sales
## 68 2041-WAUPOH-84L 1 4 Male 44 8 Sales
## 69 5472-GUGMBS-ZVK 3 2 Female 21 12 Service
## 70 1811-FUILIP-L3S 3 1 Female 62 9 Crafts
## 71 2687-GRSYRT-YRW 4 3 Male 33 14 Sales
## 72 9184-ABVZGX-Z4V 2 1 Male 65 17 Sales
## 73 9891-ZXATIA-55Z 3 2 Male 38 16 Labor
## 74 6246-WBWHHS-GFB 4 3 Female 34 15 Sales
## 75 2212-AOYDMW-0ZV 2 2 Male 78 20 Professional
## 76 8268-VLELYK-IJK 5 3 Female 47 10 Service
## 77 6023-TINSQC-7T4 3 3 Female 60 19 Labor
## 78 2332-AAKERL-PNS 3 4 Female 61 17 Professional
## 79 8888-ERPHEF-H3V 4 5 Female 77 11 Service
## 80 0213-HSPXOI-LYR 5 5 Female 21 16 Crafts
## 81 9095-NXHCNI-HXG 3 3 Female 31 19 Professional
## 82 4115-RQKQTM-RXB 1 4 Male 74 11 Professional
## 83 4730-MCQYEE-7XQ 4 2 Female 27 20 Sales
## 84 4048-TDAQGT-9Y6 1 2 Male 64 10 Labor
## 85 4336-AZJUON-KO0 5 4 Male 72 18 Professional
## 86 5495-XNMJLP-GBP 4 4 Male 66 16 Professional
## 87 9844-JTMVSQ-J5G 3 2 Male 55 16 Crafts
## 88 6960-IEHYJM-SCB 5 1 Female 20 15 Sales
## 89 2566-HGSGRK-ROU 3 1 Male 59 18 Sales
## 90 7164-HJCLUK-29N 3 2 Female 69 8 Professional
## 91 5052-NKTQMH-BKA 1 2 Female 43 13 Sales
## 92 8802-ZPAEGX-52Q 3 1 Male 62 15
## 93 0309-KOSUPM-CSV 5 2 Male 32 14 Professional
## 94 8514-TCRHWV-DPM 3 1 Male 78 10 Crafts
## 95 7441-RFDNVF-7SP 3 3 Male 64 15 Professional
## 96 1150-ESKSKG-FRM 1 1 Male 75 11 Sales
## 97 7196-SOFWOP-3K6 1 1 Male 74 19 Professional
## 98 9083-WGKZAH-8XR 2 2 Female 20 15 Sales
## 99 8552-ZQJYEJ-BW1 3 4 Male 65 15 Sales
## 100 3686-HKVHPL-GU6 1 5 Female 66 16 Sales
## 101 4923-DBKSJV-D3H 4 2 Female 45 19 Service
## 102 4588-ODXEGS-UGY 2 1 Female 44 13 Crafts
## 103 2689-VYLAYC-OSJ 5 3 Female 59 11 Labor
## 104 1086-IKBULJ-52W 1 3 Female 38 15 Professional
## 105 3149-SOXJIB-AZ6 2 3 Male 65 13 Service
## 106 0198-MUHWOZ-918 1 1 Female 26 15 Sales
## 107 4487-UIOHOC-Y6X 1 3 Male 70 16 Professional
## 108 3319-BOOXCD-PSQ 5 5 Female 65 18 Professional
## 109 3630-CTGBIF-YIX 5 5 Female 61 9 Professional
## 110 2594-FSOPWS-H02 3 4 Male 63 13 Sales
## 111 3335-MFSNGA-J31 1 4 Female 70 11 Service
## 112 3239-YTOCDY-213 4 4 Male 64 22 Labor
## 113 1226-OKZENG-YMZ 5 5 Female 56 14 Sales
## 114 1946-CHZAKX-7PK 2 2 Male 43 14 Sales
## 115 1587-LHMXIB-2NP 1 1 Male 53 10 Agriculture
## 116 8916-LWSVNK-W0Q 4 2 Female 36 12 Crafts
## 117 3755-JZHSNC-YVQ 1 5 Female 52 9 Crafts
## 118 6055-WFKEYT-97B 4 5 Male 44 17 Labor
## 119 4898-VWAWIL-UWT 1 1 Female 48 13 Professional
## 120 0161-ZGCKJD-1M2 4 3 Male 60 19 Professional
## 121 3330-YCHJNM-YA1 1 3 Female 67 19 Sales
## 122 0481-RFVYIH-H7J 4 3 Male 77 15 Agriculture
## 123 9830-UFEBRB-WOE 4 3 Male 72 9 Agriculture
## 124 3912-EDPWEY-1ZP 3 3 Female 44 19 Sales
## 125 4629-OUAIRK-MZH 5 2 Male 75 17 Service
## 126 9024-QQZDBM-RN4 5 4 Male 78 14 Professional
## 127 1608-DQBMUD-AB8 3 2 Male 55 21 Professional
## 128 4284-HHTPTO-Q5J 2 1 Male 29 16 Service
## 129 6828-JEJYIH-3EI 2 2 Female 43 8 Professional
## 130 9723-VUGZBJ-ZQA 3 3 Male 18 13 Service
## 131 8520-MLQCDY-K1Y 2 2 Male 28 16 Professional
## 132 6088-TDDVGT-XO0 4 1 Male 70 16 Crafts
## 133 8775-VURAWW-OS0 4 2 Male 43 14 Service
## 134 9852-FJWQJI-KV7 4 3 Male 56 12 Sales
## 135 5645-BCARMI-G7Z 3 4 Male 66 16 Labor
## 136 7414-PZJWWB-D1D 2 1 Male 73 18 Crafts
## 137 2578-QQXNBH-3G2 2 2 Male 26 13 Crafts
## 138 9334-IUMUSE-FAI 1 2 Male 54 10 Sales
## 139 1866-UGNVHM-6F1 4 1 Female 39 12 Labor
## 140 6170-RWXBEX-2CR 3 3 Male 24 18 Sales
## 141 2447-WXAAQB-6K7 4 3 Female 26 17 Sales
## 142 2583-FMHHBW-E5N 2 1 Female 19 14 Labor
## 143 5097-JIRHCW-CFG 3 1 Male 60 12 Service
## 144 2979-LZXION-EKF 3 1 Male 24 16 Sales
## 145 5802-HZRLCD-BHF 3 3 Female 31 11 Agriculture
## 146 7444-WJWKGZ-67A 1 1 Female 61 14 Service
## 147 2688-GYVWQM-JSK 4 2 Male 24 18 Crafts
## 148 4435-FBUZVB-AES 3 1 Female 66 17 Professional
## 149 9819-KBLSEK-N7M 3 3 Male 50 12 Service
## 150 7451-DHDPCJ-ZXU 2 4 Female 64 16 Agriculture
## 151 6973-VFXJPS-W71 3 5 Female 46 18 Sales
## 152 0286-ZUKLWW-UD1 2 5 Female 29 19 Professional
## 153 9082-FIBGZG-W7E 4 2 Male 69 9 Professional
## 154 2007-BEDDYV-62E 4 2 Female 60 11 Professional
## 155 2076-HXNRRT-59Y 5 2 Male 50 20 Sales
## 156 4238-LORPCR-80R 4 2 Male 73 12 Crafts
## 157 8724-ZFSGUO-JYL 3 1 Male 68 12 Sales
## 158 2581-PFMMKD-4C6 3 3 Male 57 17 Professional
## 159 6877-RTHCJH-M7A 2 5 Male 29 19 Professional
## 160 1191-EGQJHO-ZJQ 5 1 Female 63 15 Sales
## 161 6237-IDDHKI-H17 4 2 Male 49 17 Sales
## 162 5085-RQHHUP-L2U 2 5 Female 51 12 Professional
## 163 2981-FYZXBF-DM9 5 5 Male 22 17
## 164 8446-TMJWQX-AK5 2 2 Male 51 12 Professional
## 165 1476-ZJSUZO-GSO 4 4 Female 53 16 Service
## 166 9469-FWPWKV-HJY 5 5 Male 75 15 Crafts
## 167 8791-ICWRCS-WUD 1 3 Female 30 10 Crafts
## 168 2441-WRRBMV-9VV 3 3 Female 65 8 Labor
## 169 0815-FGMWDH-Y8D 1 5 Female 35 18 Sales
## 170 6991-FJSWKW-ADG 2 5 Female 58 14 Sales
## 171 0142-QMGDVL-8WD 5 2 Male 30 15 Crafts
## 172 8214-NVCQAC-3HH 2 2 Male 79 12 Crafts
## 173 1884-TYBPZG-HGL 1 1 Male 62 15 Sales
## 174 0072-MQVNDV-4KO 5 2 Male 27 16 Sales
## 175 5788-QLVXSO-HER 3 1 Male 34 18 Professional
## 176 8931-XMXDFT-RXL 1 1 Female 79 7 Agriculture
## 177 3682-HHDSLK-HXO 2 5 Female 68 13 Professional
## 178 1516-CYANIZ-RY8 4 2 Male 37 18 Labor
## 179 7570-FPTDKK-0IF 4 3 Female 52 11 Labor
## 180 7515-AFJDMR-B0B 1 3 Female 23 9 Labor
## 181 1684-SWFFWY-K3C 4 1 Male 57 15 Professional
## 182 2049-KTNHMV-YMX 4 5 Female 40 13 Service
## 183 1085-WJCGKC-MRO 2 1 Female 66 13 Professional
## 184 9249-AXADUL-D5S 1 2 Female 61 15 Professional
## 185 1734-EAYBEZ-PZ0 2 1 Male 79 16 Professional
## 186 3385-UPMYTY-3KI 3 4 Female 75 11 Sales
## 187 2931-WBFVCF-CNX 4 5 Male 35 20 Crafts
## 188 9639-WDHBCL-5A8 3 5 Male 22 15 Sales
## 189 9081-UBQDSR-6IK 4 5 Male 73 14 Crafts
## 190 8639-AUPQYM-25S 2 3 Male 23 13 Professional
## 191 8745-DMQULS-JO0 2 4 Male 19 14 Sales
## 192 6163-GILGEU-DY5 3 5 Male 77 16 Labor
## 193 7939-ERYSUF-ZB5 5 3 Female 51 14 Labor
## 194 0077-YFKJAV-D91 2 1 Female 56 18 Professional
## 195 6322-BPCXEI-Q4D 1 4 Female 46 16 Sales
## 196 7426-RJRFFK-CYX 2 4 Male 69 6
## 197 1712-VZCJTW-W1K 4 1 Female 38 15 Crafts
## 198 3736-LXGHWH-QT3 4 5 Female 52 18 Professional
## 199 8405-GXTJBV-W7N 4 1 Female 67 10 Service
## 200 5214-MDMLPQ-1MT 3 3 Male 28 15 Sales
## 201 6762-UARYPL-51S 2 5 Female 36 18 Sales
## 202 0046-IBWRNV-OP7 4 4 Male 39 15 Sales
## 203 2834-OGEVTU-9O7 2 1 Female 55 12 Sales
## 204 8157-GPGMVO-VJW 3 3 Male 65 13 Professional
## 205 0037-VHZRCO-JXT 5 4 Female 73 10 Sales
## 206 2802-MDQRFW-U5L 3 4 Male 34 15 Crafts
## 207 9108-FHQQBK-LAH 1 1 Female 67 19 Sales
## 208 1570-TKBDYZ-6W5 5 5 Male 54 12 Professional
## 209 1321-FAHMBA-8RX 3 3 Male 31 16 Sales
## 210 8828-EKUUDS-Z2E 2 2 Female 66 22 Sales
## 211 8765-JDCAXZ-S3V 5 3 Male 51 19 Agriculture
## 212 8723-NTRQSS-JQZ 4 1 Male 35 17 Sales
## 213 6844-VETJBH-XEI 4 3 Female 47 16 Service
## 214 0423-RHVQHI-61H 5 5 Male 65 16 Sales
## 215 0803-ZSJGGL-OSE 5 3 Female 23 18 Sales
## 216 5219-ZVCGZQ-LCE 5 4 Female 34 18 Crafts
## 217 0290-RPEAHR-8B2 1 2 Male 78 8 Service
## 218 9783-VWYGCO-70P 1 1 Male 68 13 Sales
## 219 8477-FURXBL-V98 1 1 Male 47 15 Service
## 220 3631-ONIBHG-JMI 5 2 Male 33 16 Crafts
## 221 2563-WMFFVX-82H 5 5 Male 36 21 Sales
## 222 9827-QPOKBY-LKO 5 2 Male 32 16 Service
## 223 3145-VNGWUY-ZQS 2 1 Male 64 16 Sales
## 224 4025-RCPSYI-803 1 1 Male 54 15 Professional
## 225 6442-NNEOBK-8M9 1 1 Female 62 17 Sales
## 226 3754-JJTSIX-HW4 5 5 Female 18 13 Professional
## 227 4092-XAPMSL-F1S 1 1 Female 79 12 Professional
## 228 5140-JORCZS-SWG 2 3 Male 70 14 Service
## 229 9751-UJKWLO-R2B 1 1 Male 42 17 Service
## 230 3174-AHTEYY-QJK 4 3 Female 69 10 Sales
## 231 8036-YWCZIP-OOA 2 2 Female 24 18 Service
## 232 1729-LDUPIQ-AKS 3 4 Male 26 16 Professional
## 233 9523-PJUBAK-KSC 1 1 Female 61 13 Labor
## 234 1512-XVXHMT-7YJ 2 2 Female 36 19 Professional
## 235 9513-EFLYMG-UEA 2 1 Female 68 11 Sales
## 236 0076-YGZXNR-QMC 5 4 Male 35 14 Professional
## 237 7141-HNJHVQ-3VB 5 5 Female 55 10 Crafts
## 238 7689-PZGVSS-C8Q 5 4 Female 49 12 Sales
## 239 3288-JVGWKD-YGB 5 2 Male 20 11 Professional
## 240 1273-MSAUOB-2O9 5 5 Male 25 19 Service
## 241 0558-SITMGB-YZ9 4 2 Female 47 11 Professional
## 242 4944-ITFWMY-KDC 4 3 Male 66 13 Labor
## 243 1103-KTXUJS-ZPH 3 1 Female 18 13 Service
## 244 0570-SPHLVW-B1R 1 2 Male 25 10 Agriculture
## 245 3402-FTLZQI-30T 2 4 Female 68 16 Labor
## 246 6702-MJNIGH-KYH 2 4 Male 61 18 Labor
## 247 0908-VOARVR-1L4 1 2 Male 49 15 Service
## 248 4459-SHQKCK-YYU 5 4 Female 26 17 Professional
## 249 3319-YDSBGY-41V 2 4 Female 62 13 Service
## 250 4308-OSQDNR-9D6 5 5 Male 20 15 Labor
## 251 6343-MDDJHT-XZJ 5 2 Female 74 9 Professional
## 252 6378-WSYINQ-NNO 4 2 Female 30 15 Service
## 253 7442-JTPBTI-5SZ 4 1 Female 64 11 Sales
## 254 3401-LGDNVB-E53 4 1 Male 22 16 Sales
## 255 7670-PQQZMH-YSU 4 2 Male 30 17 Crafts
## 256 3303-GJYFBQ-K1T 5 3 Male 66 9 Labor
## 257 7971-YHMWIH-PAT 3 2 Male 42 11
## 258 4707-LKQWVH-DVB 3 3 Female 27 9 Labor
## 259 3743-WMVESG-C4C 4 2 Male 45 23 Sales
## 260 6220-DNXMOB-3CJ 3 1 Female 75 16 Professional
## 261 7512-DILXWV-6YD 5 4 Male 43 17 Sales
## 262 8389-PNASXX-NKE 5 5 Female 35 15 Sales
## 263 4924-TJCPTE-P6D 1 3 Female 31 13 Labor
## 264 4583-LDDOHQ-VFX 4 4 Male 70 18 Service
## 265 4651-FZBXWY-6F0 4 3 Male 22 17 Sales
## 266 4157-SFKIZN-I6C 5 4 Male 69 17 Professional
## 267 4000-PKSKNR-T9A 5 5 Male 42 17 Sales
## 268 1751-IQPXZD-CZV 5 5 Female 57 8 Sales
## 269 3553-EBMWFX-MVS 3 1 Male 43 18 Sales
## 270 3000-DWUGGK-EXP 1 2 Female 56 14 Sales
## 271 6989-XMMWMU-ORW 2 4 Female 65 13 Professional
## 272 1931-NHXKGH-D3R 5 4 Female 66 14 Crafts
## 273 0778-ADCYKA-7HH 4 4 Male 42 12 Professional
## 274 8563-XFYTWE-1CH 3 4 Female 78 16 Professional
## 275 6529-QAKUNP-XYF 1 3 Female 24 16 Professional
## 276 2413-ECMIEM-PSY 2 2 Female 68 13 Professional
## 277 4453-FAJXXO-IUV 3 4 23 16 Crafts
## 278 2952-JTVKHR-S7F 5 5 Female 22 11 Professional
## 279 1018-INNKLF-Y2Q 5 3 52 8 Service
## 280 1051-FVOLSM-6TE 3 3 Male 26 12 Sales
## 281 9700-DGCABT-FRY 2 1 Female 32 13 Sales
## 282 1092-JSLTHP-BCT 3 4 49 16 Professional
## 283 3011-YSOAMU-FQ2 3 1 Male 55 17 Labor
## 284 7648-KAUMVM-HEU 4 2 Male 42 15 Sales
## 285 6891-ARDRVC-EWL 2 3 Female 65 11 Labor
## 286 7233-HQDDYC-VK3 4 5 Male 19 12 Sales
## 287 0453-LYAETZ-K69 2 1 Female 39 18 Professional
## 288 8201-AAESBF-GW3 1 1 Female 25 18 Sales
## 289 8574-GUQVLV-C04 1 1 Male 23 15 Labor
## 290 2392-WBLNQY-964 3 2 Male 30 16 Professional
## 291 0359-DQOMHP-1YU 4 2 Female 50 14 Service
## 292 9176-YPUZOB-0X8 3 3 Male 49 13 Sales
## 293 9393-XVJDYP-T0Y 3 2 Male 32 10 Service
## 294 3427-AFVORF-KSQ 4 2 Male 45 19 Crafts
## 295 3653-NZHSEU-GMC 1 1 Female 34 18 Sales
## 296 1804-PVZNPU-R1J 5 5 19 14 Labor
## 297 9357-NOWBWV-55T 4 3 Female 22 17 Labor
## 298 2613-HPXXOY-32A 5 5 Female 30 16 Service
## 299 5725-ECSRUB-X5V 1 1 Male 46 16 Labor
## 300 9200-GVGEES-KKE 3 1 Male 51 18 Sales
## 301 3736-XFNRBQ-RGC 4 2 Female 52 16 Professional
## 302 9357-WUXLKE-TTP 5 3 Female 27 18 Sales
## 303 4128-WQIOMO-MJX 1 1 Female 38 10 Service
## 304 2736-QDRAAN-VAI 5 5 Female 18 13 Sales
## 305 5739-BYRLOH-4E9 4 3 Female 21 14 Crafts
## 306 3216-HYCWBS-R4X 5 4 Male 42 14 Sales
## 307 5023-GJPZGQ-PDD 3 2 Male 68 10 Service
## 308 4251-UJCSCO-W61 2 1 Male 56 13 Sales
## 309 2484-ZFXONS-Y8G 5 2 Female 31 18 Service
## 310 1163-JCDRWZ-Q3K 4 2 Male 18 13 Professional
## 311 1351-APLKEM-62K 3 5 Male 32 12 Professional
## 312 2175-VGCTPF-370 4 4 Male 79 12 Sales
## 313 5161-SAEGFS-T7Q 3 2 Male 64 21 Professional
## 314 2603-JDZIQN-SZF 5 3 Female 53 12 Sales
## 315 2459-RBRPIE-BI3 1 3 Male 40 14 Professional
## 316 2591-HAWSSX-B1M 2 2 Male 39 17 Professional
## 317 0044-LVJIBD-G76 4 4 Female 49 16 Professional
## 318 8454-WYVBYJ-22N 2 4 Female 75 15 Professional
## 319 9769-TIWOIU-7YX 3 1 Male 29 13
## 320 9999-EGLHVE-19G 1 2 Male 32 16 Crafts
## 321 7731-TDRNOT-PZX 2 3 Male 23 15 Professional
## 322 4030-WSTXBV-BTC 3 2 Female 79 12 Sales
## 323 5547-KHAYAE-2AW 2 4 Female 74 11 Service
## 324 2581-UPECEP-JVH 3 3 Male 38 16 Professional
## 325 3542-FMTLYP-O4P 5 5 Male 44 11 Service
## 326 5649-GIECLS-1ZJ 1 1 Male 68 13 Sales
## 327 7524-OITCVK-NGI 2 2 Female 19 14 Crafts
## 328 8320-TNOHJH-48E 2 3 Male 28 20 Professional
## 329 5593-ZOVUTO-QGA 3 1 Female 65 17 Professional
## 330 0127-NJJYNR-WUP 1 1 Female 60 15 Service
## 331 0256-VFLEDH-Y42 1 2 Male 29 19 Professional
## 332 4080-WVWCSJ-5KU 3 1 Female 72 15 Professional
## 333 8974-LHXTHT-IZ5 3 3 Female 48 15 Sales
## 334 4563-GBQFAH-LGL 1 1 Male 33 14 Service
## 335 7833-BKSOZR-8NC 4 4 Male 26 15 Sales
## 336 2833-ORNEXA-0T3 2 1 Male 75 11 Labor
## 337 3086-WRWJTT-HZR 3 3 Female 29 17 Sales
## 338 7981-ZGZQNR-WLL 3 4 Male 30 18 Professional
## 339 1090-UJJPXK-6CC 4 5 Male 74 21 Sales
## 340 1492-MUMVFT-GK0 2 3 Female 24 11 Professional
## 341 9484-XPXYRM-EKK 1 1 Male 64 11 Professional
## 342 7442-PTTPUB-IR1 3 2 Male 74 16 Professional
## 343 1833-MUWCIB-24I 1 1 Female 61 16 Professional
## 344 6700-YQAMUY-AMS 5 2 Female 20 15 Sales
## 345 0256-JXPOLY-RHL 1 3 Female 64 8 Labor
## 346 4323-JKNASP-Z5I 4 3 Female 66 16 Professional
## 347 3198-MUUHTP-59E 2 3 Female 59 17 Sales
## 348 9758-OITZZF-IN8 5 5 Female 54 12 Sales
## 349 1537-EOLBHN-V36 4 1 Female 55 13 Sales
## 350 2226-UNHNYR-8Z9 5 2 Male 71 17 Professional
## 351 3677-RCTNGD-2YK 2 1 Male 55 17 Sales
## 352 5575-OHSPKK-PQT 3 1 Male 44 14 Service
## 353 9829-URPLKI-D16 1 1 Male 63 14 Professional
## 354 7449-JUWOQG-ETO 2 1 Male 61 11 Crafts
## 355 1168-SOZEIT-VZE 5 5 Female 32 14 Crafts
## 356 5707-ZSNWSX-HMG 4 2 Female 19 14 Labor
## 357 9325-WPUGWE-EUA 3 2 Male 41 20 Labor
## 358 2016-DLJMNC-NIF 4 1 Male 68 21 Crafts
## 359 9369-JGANTZ-TWM 1 2 Female 18 10 Service
## 360 7131-DZKXSP-AYH 1 3 Female 54 12 Professional
## 361 7618-WWRKRN-8S6 3 1 Female 52 15 Professional
## 362 8877-ZFRMNO-VHG 3 5 Female 70 18 Labor
## 363 3845-JKYVBV-CUZ 1 2 Female 43 11 Sales
## 364 9841-HCDWMI-E3T 1 2 Female 77 14 Labor
## 365 6411-UBAAYJ-XDJ 1 1 Male 52 17 Professional
## 366 6670-CAOOLM-DC3 2 1 Female 30 17 Labor
## 367 8896-GPAXGQ-GFS 1 1 Female 55 17 Labor
## 368 1716-RVHNCT-ZVF 3 2 Female 54 17 Professional
## 369 4668-SXFBSK-ENH 2 4 Female 31 17 Service
## 370 6281-YXHVKP-VKM 3 1 Female 60 17 Labor
## 371 2627-JVEEIV-9S6 5 5 Female 49 11 Sales
## 372 1844-MWTFIG-QB1 2 2 Female 39 17 Professional
## 373 8789-SCPEIS-C7B 5 1 Female 25 14 Professional
## 374 2247-HJDSTO-CGV 2 1 Male 74 14 Professional
## 375 7291-GKVRNH-DFX 2 5 Male 46 14 Service
## 376 6672-TXBPJN-IDF 2 1 Male 33 8 Agriculture
## 377 8350-CWQQCH-O07 2 1 Male 26 19 Professional
## 378 6127-NZFYZA-1CA 2 1 Male 62 14 Crafts
## 379 1341-ZSKCOA-3SH 3 1 Female 22 17 Labor
## 380 6618-IFTTDL-V8P 4 4 Male 43 20 Sales
## 381 8505-MZQBHT-GH5 1 2 Male 62 11 Sales
## 382 7556-RQGMIC-BXZ 1 3 Female 51 10 Professional
## 383 5060-SERQNE-ND1 1 3 Male 37 13 Sales
## 384 2394-ACVTAK-ENR 2 1 Female 57 20 Professional
## 385 5561-RICGZN-AJ6 5 3 Male 75 13 Sales
## 386 6531-KXPPVV-UYG 1 2 Male 68 13 Professional
## 387 5540-HQXVZL-NKU 4 4 Male 55 17 Service
## 388 9860-AXCYEV-DW4 3 1 Female 39 19 Professional
## 389 2476-OPMBAR-76N 2 4 Female 31 18 Crafts
## 390 1644-WUTPTF-V6K 1 1 Female 74 12 Crafts
## 391 7150-DZQCQB-HXX 5 4 Female 72 15 Professional
## 392 5112-XIXXKN-WNM 4 2 Female 31 14 Crafts
## 393 0296-BWZTYP-TSU 1 1 Male 71 20 Service
## 394 9322-UHIXUR-7C7 3 4 Female 27 15 Professional
## 395 8512-KZJXAA-A34 5 2 Male 58 13 Service
## 396 7962-MQXUZL-867 4 2 Female 42 12 Sales
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## 1564 1802-OUQFWM-16Z 1 1 Male 52 20 Sales
## 1565 2452-FHGGNN-K41 1 1 Male 55 12 Sales
## 1566 6764-QTFVPH-1SZ 3 4 Male 35 14 Sales
## 1567 7870-PJERKW-E1C 2 3 Male 64 18 Labor
## 1568 8619-BKBHQZ-3WP 1 1 Female 27 16 Agriculture
## 1569 9265-PEYHMB-1PL 3 1 Female 79 13 Professional
## 1570 4503-DEXFNT-00L 3 1 Male 42 17 Labor
## 1571 8832-LFXOKA-PEY 4 1 Female 57 20 Sales
## 1572 1286-EQMWVG-OBK 4 5 Female 27 20 Professional
## 1573 4928-BUGNTT-U3N 1 2 Female 26 10 Labor
## 1574 3865-EGMXSS-0ZO 4 4 Female 76 7 Labor
## 1575 1170-CFEAPU-A8O 4 2 Male 27 17 Professional
## 1576 8351-DELQBQ-BZ6 2 2 Male 66 19 Professional
## 1577 7883-YMBVQI-EGT 2 3 Male 19 14 Professional
## 1578 0930-KPNSRL-BAQ 4 2 Male 36 9 Sales
## 1579 1706-YLXGVA-TVK 3 4 Male 39 13 Agriculture
## 1580 6365-JCPDNI-TYU 1 2 Male 63 19 Service
## 1581 2102-SEQVSW-Y31 1 1 Male 30 11 Labor
## 1582 5001-IFDTJX-GDY 5 5 Female 59 13 Sales
## 1583 7365-GKFKRZ-SUF 2 3 Male 45 15 Sales
## 1584 4128-WIGNKE-VQS 3 3 Female 20 15 Sales
## 1585 0892-XTOIXU-IHV 4 1 Male 33 10 Sales
## 1586 6474-ZYMQZI-6PV 5 3 Female 73 15 Professional
## 1587 5543-QPYPZM-X87 1 1 Male 24 12 Sales
## 1588 8318-XAZBYB-86A 5 3 Female 70 16 Service
## 1589 6363-ZSGCGS-QUP 3 1 Male 73 17 Professional
## 1590 9465-ENBLDQ-84F 4 4 Male 29 19 Service
## 1591 6243-SQPFJQ-NNQ 4 3 Female 57 11 Crafts
## 1592 2467-RMWFQL-CX6 2 4 Male 51 12 Professional
## 1593 4385-UXNAVA-Q9E 1 1 Male 76 15 Crafts
## 1594 8638-OGVKLB-VOI 3 2 Female 53 13 Sales
## 1595 3774-VAPGMA-1B0 2 3 Female 78 10 Service
## 1596 6494-CQGCHF-TXS 5 5 Female 48 21 Service
## 1597 2076-HUZSPZ-MGH 3 1 Male 65 14 Sales
## 1598 5287-OKMCZQ-3EA 3 3 Male 54 16 Labor
## 1599 3329-WIPXLY-SZA 5 2 Male 41 13 Service
## 1600 5992-STZUEJ-17R 2 4 Female 61 9 Professional
## 1601 1845-HZTDMW-AVY 1 1 Male 21 16 Sales
## 1602 9038-CNAURT-ANA 1 1 Female 65 16 Professional
## 1603 6792-WLCTTA-IX4 4 3 Female 31 9 Crafts
## 1604 8109-MSHFRU-LDE 4 5 Female 18 12 Professional
## 1605 6786-AYERHK-FTJ 3 4 Male 53 16 Labor
## 1606 8161-UIIOWG-KN0 3 2 Male 79 11 Labor
## 1607 4913-UWTCXB-PGD 2 1 Male 34 17 Service
## 1608 9166-NBENKT-6SQ 4 4 Male 63 14 Professional
## 1609 1522-EVEYND-4I4 2 1 Female 51 14 Professional
## 1610 2252-ADNBHP-C31 1 1 Female 32 15 Sales
## 1611 8415-IWHDZL-B2B 3 2 Male 36 11 Agriculture
## 1612 1837-LAGYXY-675 4 5 Male 60 10 Labor
## 1613 2295-HHFNIU-DIB 4 1 Male 45 14 Crafts
## 1614 5235-QFNYVX-4PR 4 4 Male 47 17 Sales
## 1615 3270-HPJOCR-6AQ 1 1 Female 72 19 Service
## 1616 4424-DAOQOJ-KZ1 5 5 Male 48 17 Sales
## 1617 3832-WTQMZS-ZC5 5 5 Female 35 19 Crafts
## 1618 9717-ZTBUVW-CCK 5 5 Female 71 14 Labor
## 1619 1104-PRTUTF-HXP 5 2 Male 34 14 Labor
## 1620 5337-EUXOCW-N3Y 2 2 Female 79 19 Professional
## 1621 8831-QWKQHZ-LWS 4 2 Male 56 15 Sales
## 1622 3988-YAMGXI-LZK 2 1 Female 65 14 Sales
## 1623 7749-WOTQQB-KSG 4 1 Female 54 12 Sales
## 1624 5501-FTYRRQ-ZIU 2 1 Female 31 19 Sales
## 1625 4884-FBEKGH-AST 4 3 Female 64 13 Professional
## 1626 7928-HOQJOR-7LX 5 4 Male 37 9 Professional
## 1627 9515-UKHWAK-X7X 2 3 Female 48 13 Professional
## 1628 7178-ZBMHST-CN9 3 1 Female 68 16 Sales
## 1629 6842-NRIXNR-BTX 4 1 Male 20 13 Service
## 1630 3643-QNNFUH-39D 2 3 Female 43 14 Professional
## 1631 7090-MPBKYU-KZO 5 4 Male 45 16 Professional
## 1632 0719-NPCALZ-3NF 3 4 Male 26 8 Sales
## 1633 6898-URXDIY-ETQ 4 5 Female 28 8 Professional
## 1634 0114-BLSPYE-A8B 3 5 Male 68 10 Service
## 1635 7246-YXJWWH-EDJ 2 1 Male 19 14 Labor
## 1636 1097-ABLFRP-35V 1 2 Male 63 12 Agriculture
## 1637 6945-WYTDMW-S3A 2 2 Female 71 11 Sales
## 1638 6618-VGSOMI-SMZ 2 1 Female 30 15 Professional
## 1639 9991-FCIBKT-W29 3 1 Male 46 17 Sales
## 1640 6675-RWNUWQ-VRZ 3 3 Male 33 12 Labor
## 1641 2719-FWSBVY-XOL 5 1 Female 59 14 Sales
## 1642 5846-EHCWED-RQK 2 5 Male 18 13 Sales
## 1643 5189-AWRXKD-NBL 5 5 Female 23 12 Professional
## 1644 2485-RARGKM-6BJ 4 4 Male 66 15 Service
## 1645 7957-KEZMAH-KUL 3 1 Male 56 16 Service
## 1646 3313-URDBEG-UVD 3 2 Female 31 14 Sales
## 1647 9286-AHCZXN-36Q 4 3 Female 50 18 Crafts
## 1648 8355-XJIMQE-DLS 4 4 Female 23 18 Sales
## 1649 1635-DWYMEA-EIF 2 4 Male 19 11 Crafts
## 1650 6560-WECAVX-ZP2 1 3 Male 55 11 Professional
## 1651 5071-IXPFUC-MDR 5 5 Male 21 16 Professional
## 1652 8700-OQMSUZ-JN6 5 5 Female 29 21 Sales
## 1653 6523-OLMZNN-4BW 5 1 Male 34 17 Professional
## 1654 0999-UTAYUV-NCP 5 3 Male 58 14 Service
## 1655 9410-LGODRP-YK4 1 4 Female 41 11 Sales
## 1656 2963-UGUAEW-YUS 4 4 Female 66 15 Agriculture
## 1657 4348-WEQJQZ-8KW 2 2 Female 30 19 Professional
## 1658 6945-WLKWCO-6BQ 4 2 Male 61 13 Sales
## 1659 6237-HYIFSZ-7BK 3 2 Male 18 13 Crafts
## 1660 2036-TFDMSS-V5G 1 5 Female 33 13 Professional
## 1661 1866-WNGLXT-9B0 5 5 Male 64 18 Sales
## 1662 9262-FFTSMI-DAT 3 4 Male 27 13 Service
## 1663 9906-KAISVV-KMN 3 2 Male 56 13 Labor
## 1664 9159-LUYBZL-1FW 3 1 Male 32 18 Sales
## 1665 8847-XVXOIH-Q33 2 2 Male 29 14 Labor
## 1666 6791-SPZGQO-4LE 3 4 Male 56 12 Labor
## 1667 2438-YBWVHO-9XR 2 3 Female 76 18 Professional
## 1668 3945-WRBFDT-K9V 5 5 Male 60 18 Professional
## 1669 9096-WDAHND-G6L 4 1 Male 67 12 Crafts
## 1670 6280-AVXEUM-SFZ 4 2 Female 28 19 Professional
## 1671 0754-HBLNOA-EAI 5 5 Male 21 16 Professional
## 1672 1695-ZFSNEG-CFR 5 4 Female 36 16 Sales
## 1673 2760-QPESBE-YG3 2 3 Female 28 16 Sales
## 1674 2681-QIEYXC-L9E 1 1 Female 55 8 Service
## 1675 4306-FUNUCR-5M6 1 1 Female 35 15 Agriculture
## 1676 5097-QJZSXJ-HM1 5 5 Female 34 19 Sales
## 1677 8718-DTQJOP-O35 5 3 Female 69 11 Crafts
## 1678 5738-ZQPYGB-D1G 5 4 Female 46 14 Sales
## 1679 9877-VOINYO-QZW 3 3 Male 29 19 Sales
## 1680 8067-PDXXLW-P3B 2 1 Female 63 18 Labor
## 1681 5229-UOYNZP-DZY 5 5 Female 59 11 Service
## 1682 7456-PTKLMX-BTI 1 1 Female 71 19 Sales
## 1683 9305-WQKHRM-WT8 2 5 Female 39 21 Professional
## 1684 3118-PMJNUS-Z7S 3 1 Female 32 16 Professional
## 1685 7896-NZEYTJ-OFW 3 1 Female 33 11 Professional
## 1686 2413-GXKYMJ-2M3 4 1 Male 18 13 Professional
## 1687 1646-VLMHFN-DX9 1 1 Male 56 9 Labor
## 1688 6759-HAAEZH-4VK 1 3 Male 28 14 Sales
## 1689 6731-UKEQRV-6ZB 4 1 Female 44 11 Labor
## 1690 8141-XPAPXY-MOV 2 5 Female 22 16 Sales
## 1691 5892-PMOFCP-16B 4 2 Male 79 10 Sales
## 1692 6771-YPYGMC-EUQ 3 2 Male 70 12 Crafts
## 1693 5182-PCTDHE-JDW 5 5 Male 24 18 Professional
## 1694 6799-BFZWQR-6LX 1 2 Male 71 9 Professional
## UnionMember EmploymentLength Retired HHIncome DebtToIncomeRatio CreditDebt
## 1 Yes 0 No 31000 11.1 1.200909
## 2 No 0 No 15000 18.6 1.222020
## 3 No 16 No 35000 9.9 0.928620
## 4 No 0 No 20000 5.7 0.022800
## 5 No 1 No 23000 1.7 0.214659
## 6 No 22 No 107000 5.6 1.060584
## 7 No 10 No 77000 1.9 0.501809
## 8 No 11 No 97000 14.4 5.950368
## 9 No 15 Yes 16000 2.6 0.102336
## 10 No 19 No 84000 4.1 1.770216
## 11 No 8 No 47000 8.6 1.358112
## 12 No 4 No 19000 0.9 0.130131
## 13 No 12 No 73000 2.8 1.250928
## 14 No 3 No 63000 10.5 1.924965
## 15 Yes 27 Yes 17000 9.8 1.276156
## 16 Yes 31 Yes 23000 9.3 0.934743
## 17 No 24 No 171000 9.5 1.803195
## 18 Yes 29 No 424000 10.7 13.111352
## 19 No 4 No 23000 4.8 0.190992
## 20 No 10 Yes 22000 15.2 0.692208
## 21 No 4 No 35000 10.1 1.233715
## 22 Yes 2 No 28000 9.3 1.195236
## 23 No 18 Yes 12000 21.5 0.565020
## 24 Yes 2 No 29000 15.7 3.319137
## 25 No 5 No 130000 11.3 4.686110
## 26 No 28 Yes 69000 14.8 1.164168
## 27 No 0 No 24000 11.7 1.297296
## 28 No 1 No 29000 14.0 1.392580
## 29 No 26 Yes 11000 10.2 0.255816
## 30 Yes 3 No 30000 15.5 0.413850
## 31 No 23 No 80000 6.5 0.031200
## 32 No 13 No 51000 7.8 1.209312
## 33 Yes 4 No 30000 2.8 0.262920
## 34 Yes 1 No 17000 8.2 0.150552
## 35 No 11 No 141000 9.9 9.589833
## 36 No 5 No 45000 8.3 0.888930
## 37 No 17 No 137000 13.7 3.303344
## 38 No 2 Yes 10000 2.4 0.038880
## 39 Yes 3 No 73000 9.2 1.437224
## 40 No 15 No 63000 6.0 0.593460
## 41 No 10 No 50000 5.1 1.086300
## 42 No 1 No 50000 10.5 1.218000
## 43 No 30 Yes 28000 9.8 1.635424
## 44 No 2 No 23000 18.7 2.051577
## 45 No 1 No 75000 2.2 0.102300
## 46 No 11 No 28000 3.3 0.394548
## 47 No 4 No 33000 12.6 2.116422
## 48 No 15 No 44000 13.6 0.987360
## 49 No 0 No 31000 9.2 0.770040
## 50 No 19 No 284000 9.4 15.456984
## 51 No 8 No 49000 2.1 0.193452
## 52 No 18 Yes 15000 7.6 0.084360
## 53 Yes 5 No 17000 2.3 0.254932
## 54 No 14 No 83000 11.3 4.820806
## 55 No 8 No 82000 34.2 1.121760
## 56 No 11 No 62000 2.3 0.537602
## 57 No 6 No 138000 7.0 4.472580
## 58 No 1 No 35000 5.7 1.079295
## 59 No 36 Yes 35000 12.2 0.742980
## 60 No 0 No 20000 5.2 0.279760
## 61 No 5 No 25000 7.7 0.477400
## 62 No 0 No 33000 3.9 0.428571
## 63 No 18 Yes 32000 23.1 3.171168
## 64 No 31 Yes 16000 3.0 0.298560
## 65 No 0 No 64000 3.9 0.391872
## 66 No 7 No 31000 14.8 2.105892
## 67 No 1 No 18000 14.5 0.798660
## 68 No 9 No 41000 3.1 0.151249
## 69 Yes 1 No 22000 2.7 0.275616
## 70 Yes 31 Yes 14000 15.0 0.575400
## 71 Yes 4 No 82000 6.9 3.745596
## 72 Yes 7 No 91000 0.3 0.094731
## 73 No 10 No 74000 4.7 0.699078
## 74 No 3 No 46000 2.1 0.358386
## 75 Yes 13 Yes 14000 8.2 0.307664
## 76 No 17 No 68000 22.0 5.400560
## 77 No 22 No 101000 7.2 1.498032
## 78 No 7 No 121000 9.1 4.085081
## 79 No 23 Yes 19000 15.3 0.866286
## 80 No 0 No 30000 13.5 1.227150
## 81 No 1 No 43000 2.1 0.706146
## 82 No 26 Yes 18000 1.4 0.054432
## 83 No 0 No 42000 16.4 1.370712
## 84 No 36 No 327000 11.7 15.533154
## 85 No 9 No 30000 6.9 0.175950
## 86 No 21 Yes 96000 15.6 8.326656
## 87 No 29 No 143000 10.9 9.663940
## 88 No 0 No 25000 6.8 0.906100
## 89 No 7 No 68000 6.5 2.148120
## 90 Yes 16 No 78000 12.7 6.686550
## 91 No 2 No 38000 6.5 0.454480
## 92 No 7 No 56000 27.7 2.450896
## 93 No 5 No 65000 14.1 4.133415
## 94 No 28 Yes 17000 20.8 0.625872
## 95 No 11 No 62000 17.5 0.423150
## 96 No 11 Yes 11000 8.0 0.226160
## 97 Yes 20 Yes 108000 9.3 4.549932
## 98 No 0 No 19000 7.6 0.280136
## 99 No 6 Yes 26000 11.1 0.707070
## 100 No 3 No 21000 21.2 1.709568
## 101 No 10 No 82000 7.0 1.905680
## 102 Yes 13 No 60000 12.5 2.212500
## 103 Yes 21 No 100000 5.9 1.864400
## 104 No 8 No 81000 10.9 4.326210
## 105 Yes 9 No 34000 17.3 2.517496
## 106 No 1 No 23000 10.3 0.615940
## 107 No 11 No 107000 14.1 1.191873
## 108 No 17 No 66000 6.9 2.609442
## 109 Yes 31 No 107000 3.6 1.887480
## 110 No 3 No 69000 3.5 1.335495
## 111 No 29 No 224000 2.6 1.368640
## 112 No 21 Yes 28000 8.1 1.295028
## 113 No 3 No 31000 0.9 0.175491
## 114 Yes 1 No 32000 10.1 1.228160
## 115 No 29 No 82000 4.8 0.842304
## 116 No 8 No 54000 9.6 0.762048
## 117 No 19 No 42000 3.0 0.476280
## 118 No 13 No 58000 7.5 0.900450
## 119 No 3 No 73000 4.6 1.722654
## 120 No 6 No 36000 14.1 1.258848
## 121 Yes 3 No 51000 6.7 1.189116
## 122 No 28 Yes 27000 6.2 0.297972
## 123 No 34 Yes 36000 10.5 0.876960
## 124 No 1 No 59000 5.9 0.981642
## 125 No 35 Yes 41000 14.0 2.393580
## 126 No 18 No 59000 3.4 0.529584
## 127 No 11 No 128000 20.5 2.282880
## 128 No 4 No 54000 9.6 1.202688
## 129 Yes 8 No 44000 10.6 1.944888
## 130 No 0 No 15000 10.9 0.516660
## 131 No 0 No 17000 2.2 0.129778
## 132 No 33 Yes 59000 2.1 0.056994
## 133 No 6 No 57000 14.3 4.442295
## 134 Yes 4 No 29000 7.2 0.780912
## 135 Yes 18 Yes 12000 12.7 1.127760
## 136 No 25 Yes 9000 19.7 0.684378
## 137 Yes 6 No 85000 8.2 2.669510
## 138 No 3 No 25000 6.8 0.710600
## 139 No 12 No 48000 18.5 1.403040
## 140 No 0 No 29000 7.2 0.457272
## 141 No 0 No 64000 3.7 1.091648
## 142 No 0 No 13000 12.4 0.357864
## 143 No 21 No 131000 5.3 3.145179
## 144 No 0 No 10000 6.1 0.319030
## 145 No 6 No 27000 0.6 0.070146
## 146 No 11 Yes 11000 41.7 1.366926
## 147 No 0 No 51000 6.4 1.132608
## 148 No 12 No 57000 12.8 3.224832
## 149 No 13 No 54000 9.0 0.855360
## 150 No 22 No 98000 13.1 5.302094
## 151 No 2 No 28000 20.7 1.101240
## 152 No 1 No 69000 5.9 1.237584
## 153 Yes 30 No 149000 0.7 0.162708
## 154 No 22 No 155000 8.7 2.090175
## 155 No 2 No 49000 15.6 1.949220
## 156 No 26 Yes 17000 13.8 0.783564
## 157 No 7 No 31000 15.3 2.086920
## 158 No 9 No 39000 20.5 1.950780
## 159 No 1 No 156000 1.1 0.120120
## 160 No 9 Yes 17000 6.4 0.343808
## 161 No 5 No 60000 8.4 1.204560
## 162 No 8 No 122000 13.6 5.375808
## 163 No 0 No 32000 7.1 0.215840
## 164 No 8 No 43000 4.1 0.446039
## 165 No 14 No 142000 13.6 3.340976
## 166 No 31 Yes 123000 1.1 0.420783
## 167 No 9 No 32000 0.9 0.042624
## 168 No 33 Yes 14000 7.3 0.154322
## 169 No 2 No 17000 8.0 0.232560
## 170 No 10 No 58000 11.4 1.811688
## 171 No 5 No 39000 9.3 1.098981
## 172 No 39 Yes 47000 7.9 1.095335
## 173 Yes 8 No 49000 4.8 0.827904
## 174 No 0 No 29000 10.9 0.622717
## 175 No 2 No 51000 6.2 0.322524
## 176 No 45 Yes 20000 19.2 1.409280
## 177 No 18 No 74000 7.2 0.340992
## 178 No 8 No 193000 3.7 4.820175
## 179 No 22 No 94000 19.2 1.443840
## 180 No 6 No 21000 9.5 1.510215
## 181 No 8 No 121000 7.8 1.906476
## 182 No 10 No 24000 6.6 0.449856
## 183 No 22 No 53000 13.5 1.717200
## 184 No 15 No 56000 11.3 4.378976
## 185 No 15 Yes 26000 18.1 2.301234
## 186 No 7 No 19000 4.2 0.174762
## 187 Yes 6 No 47000 5.5 0.700535
## 188 No 0 No 19000 12.5 0.605625
## 189 No 34 No 164000 29.7 4.188888
## 190 Yes 0 No 16000 1.1 0.015312
## 191 No 0 No 23000 2.1 0.083076
## 192 Yes 26 Yes 13000 17.3 0.937833
## 193 No 18 No 74000 11.9 1.303288
## 194 No 3 No 129000 5.5 0.929445
## 195 Yes 4 No 56000 6.1 0.044408
## 196 No 19 No 59000 12.3 2.721375
## 197 No 8 No 36000 5.2 0.763776
## 198 Yes 5 No 96000 29.3 6.553824
## 199 No 35 Yes 22000 14.9 1.042404
## 200 No 1 No 43000 9.2 1.170976
## 201 No 2 No 29000 30.7 3.605715
## 202 Yes 3 No 28000 13.2 0.450912
## 203 No 3 No 29000 14.2 2.277254
## 204 Yes 15 Yes 18000 5.1 0.512244
## 205 No 9 Yes 14000 1.9 0.018620
## 206 No 10 No 36000 18.0 3.175200
## 207 No 7 No 152000 8.4 7.584192
## 208 No 19 No 84000 9.9 4.839912
## 209 No 1 No 32000 15.3 1.703808
## 210 No 2 Yes 22000 17.8 1.045572
## 211 No 23 No 143000 5.9 2.227368
## 212 No 2 No 22000 2.4 0.099792
## 213 No 4 No 50000 11.4 2.644800
## 214 No 3 No 42000 14.6 1.483944
## 215 No 0 No 13000 3.3 0.132132
## 216 Yes 5 No 55000 5.3 1.189320
## 217 No 39 Yes 23000 12.3 0.096186
## 218 No 7 Yes 15000 3.5 0.066675
## 219 Yes 8 No 45000 19.7 2.526525
## 220 Yes 8 No 20000 13.3 0.851200
## 221 No 2 No 48000 13.4 0.739680
## 222 No 5 No 42000 6.7 1.328208
## 223 No 10 No 35000 7.5 1.622250
## 224 No 5 No 38000 9.0 1.176480
## 225 No 5 No 66000 7.9 1.569414
## 226 No 0 No 19000 4.1 0.101270
## 227 No 13 Yes 10000 6.8 0.060520
## 228 No 22 Yes 21000 11.8 0.317184
## 229 No 12 No 114000 7.0 2.737140
## 230 No 8 No 41000 5.0 1.642050
## 231 No 0 No 23000 14.3 0.983411
## 232 No 1 No 21000 3.3 0.135828
## 233 No 27 No 110000 29.7 9.964350
## 234 No 4 No 29000 7.9 0.494856
## 235 No 12 No 102000 8.7 1.206864
## 236 No 4 No 22000 5.9 0.391996
## 237 Yes 14 No 42000 6.1 1.168272
## 238 No 6 No 36000 14.9 2.628360
## 239 No 0 No 19000 4.6 0.443992
## 240 No 0 No 31000 23.4 1.915056
## 241 Yes 16 No 66000 15.1 6.876540
## 242 Yes 19 Yes 23000 10.4 1.418456
## 243 No 0 No 15000 4.9 0.210210
## 244 No 7 No 21000 8.9 0.149520
## 245 Yes 30 No 237000 5.0 7.536600
## 246 Yes 20 Yes 32000 10.6 0.132288
## 247 No 17 No 208000 8.3 8.200400
## 248 No 0 No 82000 10.1 1.391376
## 249 No 30 No 182000 26.2 28.848820
## 250 No 0 No 17000 3.9 0.459459
## 251 No 26 No 62000 10.7 2.428044
## 252 No 3 No 30000 30.6 3.873960
## 253 No 5 No 18000 6.1 0.371124
## 254 Yes 0 No 20000 3.8 0.222680
## 255 No 6 No 109000 18.4 1.464088
## 256 No 33 Yes 88000 8.3 2.622136
## 257 No 7 No 46000 11.0 1.300420
## 258 Yes 7 No 22000 9.1 0.106106
## 259 No 2 No 58000 9.6 1.158144
## 260 No 8 No 28000 3.9 0.171444
## 261 Yes 3 No 127000 6.9 0.701040
## 262 No 1 No 51000 18.3 3.406545
## 263 No 6 No 29000 12.4 0.927768
## 264 No 29 No 141000 10.7 5.642538
## 265 No 0 No 20000 14.9 0.500640
## 266 No 18 No 64000 12.0 2.534400
## 267 No 1 No 30000 9.7 1.134900
## 268 No 4 No 19000 6.8 0.032300
## 269 No 8 No 22000 11.0 1.454420
## 270 No 8 No 79000 14.0 6.071940
## 271 No 8 No 55000 21.2 5.958260
## 272 No 34 No 350000 3.9 3.699150
## 273 Yes 10 No 81000 7.1 3.657636
## 274 No 9 Yes 17000 9.5 0.644385
## 275 No 0 No 30000 4.4 0.373560
## 276 No 10 Yes 10000 4.2 0.278880
## 277 No 1 No 26000 2.7 0.348894
## 278 No 1 No 23000 7.6 0.811072
## 279 No 20 No 50000 4.2 0.319200
## 280 No 2 No 21000 9.4 0.179634
## 281 No 2 No 22000 5.4 0.070092
## 282 No 9 No 60000 3.8 1.105800
## 283 No 18 No 101000 14.6 6.326034
## 284 No 2 No 65000 5.8 2.250690
## 285 No 30 Yes 32000 6.9 0.596160
## 286 No 0 No 25000 10.5 1.493625
## 287 No 7 No 34000 17.3 2.129284
## 288 No 0 No 37000 1.2 0.245532
## 289 No 2 No 31000 1.0 0.003410
## 290 No 2 No 19000 6.0 0.414960
## 291 No 18 No 59000 6.6 2.157276
## 292 No 2 No 37000 14.3 0.899470
## 293 No 10 No 30000 5.3 0.823620
## 294 No 12 No 83000 5.4 2.958120
## 295 No 3 No 31000 10.9 1.040732
## 296 No 0 No 43000 17.9 2.155160
## 297 No 0 No 19000 3.5 0.083790
## 298 No 3 No 64000 7.3 0.060736
## 299 No 9 No 24000 1.3 0.140088
## 300 No 1 No 24000 11.6 0.670944
## 301 No 6 No 33000 10.0 0.508200
## 302 Yes 0 No 17000 11.3 0.822188
## 303 No 11 No 37000 8.5 0.487475
## 304 No 0 No 21000 4.5 0.179550
## 305 No 1 No 29000 18.9 1.068795
## 306 No 3 No 34000 14.7 0.674730
## 307 No 15 Yes 15000 4.2 0.112770
## 308 Yes 4 No 43000 7.5 1.522200
## 309 No 4 No 78000 5.6 1.410864
## 310 No 0 No 19000 22.2 3.766674
## 311 No 2 No 29000 9.3 0.469278
## 312 No 6 Yes 9000 3.8 0.166896
## 313 No 14 No 66000 16.4 2.013264
## 314 No 6 No 32000 6.7 0.456672
## 315 Yes 9 No 42000 2.9 0.481110
## 316 No 5 No 50000 15.6 2.464800
## 317 No 6 No 50000 6.5 1.241500
## 318 No 11 No 74000 2.8 1.326080
## 319 Yes 3 No 20000 9.3 0.265980
## 320 Yes 6 No 36000 13.4 0.472752
## 321 No 0 No 64000 4.3 1.835584
## 322 No 18 Yes 9000 7.8 0.385398
## 323 No 39 Yes 16000 9.9 0.601920
## 324 No 10 No 76000 2.6 0.436696
## 325 No 11 No 66000 0.4 0.036696
## 326 No 10 Yes 11000 4.5 0.152955
## 327 No 0 No 13000 10.8 0.256932
## 328 No 0 No 55000 16.5 5.944125
## 329 No 7 No 28000 3.5 0.317520
## 330 No 24 No 191000 11.3 4.726677
## 331 No 0 No 71000 10.7 0.873655
## 332 No 16 Yes 17000 9.7 0.128622
## 333 Yes 2 No 27000 6.5 1.037205
## 334 No 5 No 53000 5.0 1.014950
## 335 No 0 No 37000 11.0 1.615790
## 336 No 32 Yes 21000 10.1 1.533483
## 337 No 0 No 47000 8.3 0.877725
## 338 No 0 No 30000 9.9 1.603800
## 339 No 8 Yes 9000 1.0 0.040230
## 340 No 2 No 18000 8.1 0.341172
## 341 No 16 No 69000 7.9 2.681892
## 342 Yes 17 No 51000 17.7 1.489455
## 343 No 5 No 35000 26.1 3.124170
## 344 No 0 No 28000 9.8 0.875336
## 345 No 30 No 143000 10.0 0.243100
## 346 No 14 No 80000 17.9 0.744640
## 347 No 5 No 18000 8.8 1.165824
## 348 No 8 No 41000 8.7 0.609957
## 349 No 5 No 32000 20.9 1.725504
## 350 Yes 19 No 310000 14.2 7.659480
## 351 No 7 No 182000 4.7 2.489214
## 352 No 18 No 154000 2.4 1.862784
## 353 No 11 No 49000 19.8 6.073452
## 354 No 33 No 143000 5.0 4.511650
## 355 No 5 No 25000 3.8 0.076000
## 356 Yes 0 No 19000 24.1 0.407531
## 357 No 11 No 31000 4.7 0.257889
## 358 No 25 Yes 10000 13.1 0.234490
## 359 No 1 No 19000 15.0 1.607400
## 360 Yes 12 No 83000 7.3 1.684402
## 361 No 6 No 165000 9.7 4.561425
## 362 No 20 No 117000 7.1 0.498420
## 363 No 5 No 43000 1.7 0.369155
## 364 Yes 36 Yes 58000 12.3 5.871282
## 365 No 8 No 27000 15.0 0.437400
## 366 Yes 4 No 40000 12.6 2.076480
## 367 No 17 No 143000 6.4 2.837120
## 368 No 13 No 118000 25.6 19.665408
## 369 No 5 No 18000 20.2 1.574388
## 370 No 22 Yes 20000 22.4 2.119040
## 371 No 5 No 31000 0.3 0.016089
## 372 No 5 No 36000 17.1 0.966492
## 373 No 2 No 13000 8.6 0.260494
## 374 No 13 Yes 11000 1.7 0.075735
## 375 No 9 No 43000 6.5 1.931345
## 376 No 8 No 25000 8.1 0.765450
## 377 No 0 No 36000 3.9 0.796068
## 378 No 31 Yes 11000 23.1 1.847307
## 379 No 0 No 36000 11.0 0.863280
## 380 No 2 No 42000 5.4 0.637308
## 381 No 14 No 48000 11.0 2.576640
## 382 No 10 No 31000 19.0 3.033350
## 383 No 3 No 16000 11.8 0.653248
## 384 Yes 9 No 47000 9.4 1.369580
## 385 Yes 10 Yes 14000 5.7 0.256956
## 386 No 9 No 47000 18.4 4.981248
## 387 No 21 No 181000 5.1 1.144644
## 388 No 6 No 92000 11.6 6.413872
## 389 No 5 No 33000 3.5 0.507045
## 390 No 28 Yes 13000 4.8 0.165360
## 391 No 11 No 43000 11.3 3.172927
## 392 No 7 No 34000 15.4 1.528912
## 393 Yes 20 No 193000 3.3 1.490346
## 394 No 3 No 33000 2.7 0.376893
## 395 No 13 No 54000 16.4 1.186704
## 396 Yes 5 No 117000 0.9 0.102141
## 397 Yes 27 No 73000 9.8 3.526922
## 398 No 6 No 33000 7.2 0.817344
## 399 No 20 No 102000 13.3 5.114382
## 400 No 16 No 103000 21.3 9.938367
## 401 No 3 No 36000 7.5 1.647000
## 402 No 15 No 64000 11.5 3.532800
## 403 Yes 3 No 30000 0.5 0.067800
## 404 No 16 No 74000 17.3 4.519106
## 405 No 18 No 81000 4.9 1.154979
## 406 No 0 No 37000 4.0 0.367040
## 407 Yes 6 No 63000 14.0 3.378060
## 408 No 0 No 23000 13.3 1.443848
## 409 No 21 Yes 20000 4.6 0.363400
## 410 Yes 0 No 24000 15.0 1.148400
## 411 No 9 No 37000 20.1 0.587523
## 412 No 5 No 33000 10.1 0.969903
## 413 No 21 No 45000 10.8 0.918540
## 414 No 19 Yes 54000 5.4 1.256796
## 415 Yes 6 No 71000 3.7 0.814370
## 416 No 7 No 51000 0.9 0.133110
## 417 No 1 No 26000 7.3 1.042002
## 418 No 0 No 70000 14.8 0.528360
## 419 Yes 2 No 30000 12.2 0.750300
## 420 Yes 22 No 105000 10.7 3.797430
## 421 No 27 No 259000 1.7 0.686868
## 422 No 1 No 40000 17.4 2.916240
## 423 Yes 36 Yes 25000 19.3 2.282225
## 424 No 26 No 49000 14.9 0.868819
## 425 No 6 No 55000 5.2 0.245960
## 426 No 9 No 65000 31.1 9.440405
## 427 Yes 8 No 24000 8.1 0.101088
## 428 No 20 Yes 9000 13.9 0.048789
## 429 No 1 No 22000 1.6 0.176000
## 430 No 3 No 98000 24.4 5.786704
## 431 Yes 1 No 30000 31.7 1.863960
## 432 No 12 No 57000 22.1 7.318857
## 433 No 5 No 28000 13.5 1.005480
## 434 No 13 No 63000 11.4 3.432996
## 435 No 2 No 53000 7.1 0.778941
## 436 No 2 No 29000 11.9 1.708245
## 437 Yes 10 No 56000 6.9 0.571872
## 438 Yes 10 No 208000 14.1 9.208992
## 439 No 6 Yes 15000 14.2 0.440910
## 440 Yes 5 No 55000 5.9 0.405625
## 441 Yes 3 No 101000 2.1 0.752955
## 442 Yes 1 No 19000 4.1 0.317053
## 443 Yes 1 No 19000 10.3 1.082221
## 444 No 0 No 32000 11.6 2.464768
## 445 No 5 No 19000 21.1 0.697566
## 446 No 11 No 78000 10.9 0.926718
## 447 No 16 No 91000 25.6 3.401216
## 448 No 26 No 78000 9.2 2.978040
## 449 No 1 No 45000 6.6 1.372140
## 450 No 25 No 293000 20.8 10.908976
## 451 No 4 No 29000 15.0 1.096200
## 452 No 2 No 25000 8.9 0.162425
## 453 No 20 No 61000 9.9 2.216313
## 454 No 7 No 94000 7.0 1.658160
## 455 No 4 No 37000 2.2 0.234432
## 456 No 0 No 38000 5.2 0.725192
## 457 No 2 No 27000 10.8 1.227636
## 458 No 17 No 57000 8.6 0.916674
## 459 No 1 No 24000 1.9 0.191064
## 460 No 11 No 44000 5.2 0.533104
## 461 No 3 No 95000 21.1 3.928820
## 462 No 4 No 32000 10.0 0.204800
## 463 Yes 0 No 17000 4.9 0.620585
## 464 No 6 No 32000 10.5 1.125600
## 465 No 18 No 41000 23.8 4.381342
## 466 No 20 No 207000 2.0 1.511100
## 467 No 36 No 339000 5.1 5.290434
## 468 No 12 No 59000 7.9 1.002115
## 469 No 33 Yes 11000 8.2 0.060434
## 470 No 3 No 24000 4.1 0.245016
## 471 No 9 No 145000 2.7 1.984905
## 472 No 14 No 60000 9.1 2.020200
## 473 No 7 No 25000 7.3 0.547500
## 474 No 19 No 91000 12.7 5.940298
## 475 No 15 No 54000 4.3 0.805734
## 476 No 14 No 50000 9.4 2.157300
## 477 No 19 No 96000 5.8 1.575744
## 478 No 29 Yes 66000 18.1 7.669332
## 479 No 25 No 105000 4.9 1.672125
## 480 No 2 No 147000 12.5 11.723250
## 481 Yes 3 No 39000 3.7 0.748917
## 482 No 3 No 53000 17.7 1.369626
## 483 No 23 No 144000 2.5 1.908000
## 484 No 2 No 22000 17.3 2.835470
## 485 No 11 No 66000 4.1 0.368016
## 486 No 0 No 14000 15.0 0.340200
## 487 Yes 5 No 32000 12.3 0.350304
## 488 No 0 No 24000 5.9 0.227976
## 489 No 27 Yes 10000 9.2 0.225400
## 490 No 6 No 38000 16.2 2.917944
## 491 No 19 No 43000 18.1 2.622871
## 492 Yes 13 Yes 15000 6.7 0.562800
## 493 No 7 Yes 12000 22.7 0.656484
## 494 No 12 No 107000 4.1 2.373367
## 495 Yes 40 Yes 10000 4.6 0.243800
## 496 No 39 Yes 19000 4.9 0.241129
## 497 No 8 No 33000 11.9 1.346961
## 498 No 5 No 41000 11.0 0.829840
## 499 No 37 No 236000 0.5 0.598260
## 500 Yes 1 No 44000 6.4 1.652992
## 501 Yes 0 No 17000 5.9 0.342023
## 502 No 3 No 94000 16.4 3.345272
## 503 No 15 No 57000 5.6 0.632016
## 504 No 17 No 70000 20.4 2.413320
## 505 Yes 0 No 19000 12.5 0.793250
## 506 No 5 No 68000 3.0 0.273360
## 507 No 15 No 184000 6.6 6.618480
## 508 No 6 No 54000 1.6 0.101088
## 509 No 9 No 80000 5.8 2.867520
## 510 No 4 No 60000 7.4 2.362080
## 511 No 25 Yes 9000 16.1 0.321678
## 512 No 19 No 43000 15.1 2.921850
## 513 No 0 No 18000 21.7 2.538900
## 514 No 5 No 38000 17.5 2.054850
## 515 No 6 No 27000 7.8 1.071954
## 516 No 11 No 35000 12.9 3.413340
## 517 Yes 15 No 96000 9.7 5.028480
## 518 No 11 No 53000 1.0 0.051410
## 519 No 6 No 29000 8.5 0.611320
## 520 No 30 Yes 20000 2.5 0.193000
## 521 No 11 No 52000 12.6 3.308760
## 522 No 22 No 296000 17.1 18.069912
## 523 No 12 No 41000 8.3 0.401554
## 524 No 6 No 20000 8.5 0.727600
## 525 No 2 No 33000 5.8 0.983796
## 526 No 11 Yes 12000 6.5 0.177840
## 527 No 16 Yes 23000 1.8 0.126270
## 528 No 4 No 21000 5.5 0.463155
## 529 No 0 No 16000 2.3 0.114080
## 530 No 11 No 108000 5.6 1.227744
## 531 No 19 No 167000 4.7 3.516352
## 532 No 1 No 20000 6.3 0.189000
## 533 No 1 No 26000 7.0 0.982800
## 534 No 12 No 49000 10.8 0.576828
## 535 No 20 Yes 17000 16.2 1.704726
## 536 No 24 Yes 19000 4.7 0.254505
## 537 No 15 No 46000 5.7 0.883614
## 538 No 2 No 83000 7.2 2.701152
## 539 No 20 Yes 26000 13.1 1.038830
## 540 No 4 No 46000 36.7 11.935574
## 541 No 13 No 41000 14.0 2.296000
## 542 No 0 No 13000 16.5 0.210210
## 543 Yes 5 No 81000 10.5 1.088640
## 544 No 29 Yes 31000 5.5 1.369115
## 545 No 30 No 107000 2.0 1.067860
## 546 No 3 No 32000 22.7 1.198560
## 547 No 31 Yes 25000 11.0 0.660000
## 548 No 14 No 125000 5.7 2.451000
## 549 No 5 No 44000 9.6 1.668480
## 550 No 3 No 137000 5.3 1.575637
## 551 Yes 6 No 49000 7.7 1.207360
## 552 Yes 0 No 28000 10.5 0.217560
## 553 No 6 No 60000 9.9 2.144340
## 554 No 18 No 186000 20.6 14.253552
## 555 No 5 No 49000 6.4 2.163840
## 556 No 5 No 34000 20.2 3.468340
## 557 No 0 No 32000 6.9 0.461472
## 558 No 4 No 28000 12.2 0.461160
## 559 No 2 No 24000 13.5 0.916920
## 560 No 0 No 27000 11.2 0.365904
## 561 Yes 2 No 38000 7.6 1.435336
## 562 No 0 No 17000 3.1 0.346766
## 563 No 11 No 90000 7.2 3.615840
## 564 No 14 No 26000 12.4 0.212784
## 565 No 19 No 112000 26.1 10.552752
## 566 No 11 No 70000 9.9 1.940400
## 567 Yes 14 No 197000 18.8 14.258860
## 568 Yes 2 No 15000 8.1 0.391230
## 569 No 17 No 98000 22.7 5.205564
## 570 No 9 No 116000 9.6 0.857472
## 571 No 1 No 40000 10.7 1.027200
## 572 Yes 3 No 190000 7.0 1.901900
## 573 No 1 No 25000 4.6 0.343850
## 574 Yes 23 No 240000 2.0 2.376000
## 575 No 23 Yes 74000 7.3 3.516702
## 576 No 17 Yes 17000 7.5 0.483225
## 577 No 11 No 54000 11.5 1.875420
## 578 No 6 No 73000 7.4 0.680652
## 579 No 0 No 12000 2.6 0.107952
## 580 No 4 No 23000 14.2 0.751180
## 581 No 27 No 190000 2.2 2.236300
## 582 No 21 No 72000 14.4 8.335872
## 583 No 7 No 31000 1.3 0.171275
## 584 Yes 1 No 47000 4.9 0.944230
## 585 No 1 No 23000 7.7 0.591514
## 586 No 3 No 52000 12.7 1.043432
## 587 No 25 Yes 20000 9.8 0.780080
## 588 No 5 No 23000 10.3 0.464324
## 589 No 8 No 136000 7.4 4.468416
## 590 No 10 No 39000 11.8 1.458834
## 591 No 1 No 22000 4.0 0.286000
## 592 No 9 No 36000 5.1 0.818856
## 593 No 3 No 13000 6.8 0.256360
## 594 Yes 5 No 68000 10.1 1.634584
## 595 Yes 19 No 95000 11.6 3.592520
## 596 No 13 No 75000 10.3 2.163000
## 597 No 32 No 304000 16.6 34.719232
## 598 No 6 Yes 14000 5.7 0.313614
## 599 No 13 No 46000 13.5 1.863000
## 600 No 0 No 39000 11.0 0.866580
## 601 No 6 Yes 9000 4.6 0.316296
## 602 No 5 No 96000 12.6 2.540160
## 603 No 12 No 72000 4.4 0.319968
## 604 No 0 No 18000 2.1 0.020034
## 605 No 7 Yes 9000 8.2 0.146862
## 606 No 3 No 28000 10.7 1.270304
## 607 No 0 No 14000 14.8 0.151256
## 608 No 48 Yes 17000 6.3 0.424116
## 609 No 3 No 49000 4.7 0.241815
## 610 No 5 No 25000 9.0 1.635750
## 611 No 0 No 19000 22.1 0.969969
## 612 No 29 No 183000 1.1 0.146949
## 613 Yes 13 No 112000 16.0 9.569280
## 614 No 19 No 54000 10.2 2.577744
## 615 No 0 No 19000 18.4 0.346104
## 616 No 1 No 21000 28.5 3.698730
## 617 No 1 No 47000 2.9 0.633795
## 618 No 6 No 58000 19.8 2.882484
## 619 No 17 No 140000 8.7 2.813580
## 620 Yes 19 Yes 14000 3.7 0.155918
## 621 No 6 No 24000 17.6 2.238720
## 622 No 26 No 203000 19.6 12.374068
## 623 No 34 Yes 79000 33.2 2.386748
## 624 No 1 No 62000 12.6 1.609272
## 625 No 9 No 30000 1.9 0.027930
## 626 No 35 Yes 22000 8.7 0.338778
## 627 No 1 No 15000 11.4 0.781470
## 628 No 38 Yes 20000 8.2 0.195160
## 629 No 23 No 75000 9.2 3.422400
## 630 No 0 No 35000 19.3 3.667965
## 631 No 34 Yes 41000 16.1 3.023258
## 632 No 5 Yes 14000 6.3 0.152586
## 633 No 25 Yes 32000 6.4 0.466944
## 634 No 9 No 25000 6.6 1.201200
## 635 No 9 No 21000 5.8 0.749070
## 636 No 3 No 35000 5.4 0.695520
## 637 No 32 No 95000 4.6 1.507650
## 638 No 7 No 72000 9.1 3.983616
## 639 No 5 No 50000 8.4 0.491400
## 640 Yes 10 No 72000 2.5 0.415800
## 641 Yes 4 No 39000 11.8 1.900626
## 642 No 13 No 91000 9.8 4.396574
## 643 No 13 No 182000 3.7 3.387202
## 644 No 8 No 84000 4.0 0.463680
## 645 No 4 No 29000 8.5 1.562810
## 646 No 1 No 23000 23.2 1.013840
## 647 No 21 No 76000 13.0 1.146080
## 648 No 34 No 388000 5.9 9.065232
## 649 No 17 No 106000 3.4 0.796484
## 650 No 4 No 23000 5.6 0.698096
## 651 Yes 0 No 42000 18.4 2.287488
## 652 No 24 No 165000 4.9 2.910600
## 653 No 21 No 147000 3.2 1.994496
## 654 No 0 No 18000 7.3 0.337698
## 655 No 0 No 28000 6.8 1.129072
## 656 No 16 Yes 9000 4.4 0.176220
## 657 No 0 No 29000 4.5 0.486765
## 658 No 3 No 54000 8.9 0.672840
## 659 No 2 No 25000 10.9 0.223450
## 660 Yes 18 No 218000 4.8 3.829824
## 661 Yes 0 No 17000 15.6 0.983892
## 662 No 0 No 17000 0.8 0.089896
## 663 No 4 No 122000 20.1 9.637146
## 664 No 1 No 23000 5.8 0.217442
## 665 No 0 No 43000 11.2 1.459248
## 666 No 4 No 25000 14.0 1.946000
## 667 No 19 Yes 9000 10.0 0.317700
## 668 No 12 No 58000 5.8 0.507964
## 669 No 17 No 297000 5.1 7.043355
## 670 Yes 0 No 26000 4.1 0.379496
## 671 No 0 No 45000 10.3 1.399770
## 672 No 1 No 22000 4.9 0.203742
## 673 Yes 4 No 26000 3.3 0.469326
## 674 No 10 No 80000 6.1 0.370880
## 675 No 2 No 71000 18.8 1.201320
## 676 No 4 No 34000 5.3 0.163982
## 677 No 13 No 65000 4.1 0.442390
## 678 No 0 No 19000 4.3 0.519612
## 679 No 2 No 23000 6.0 0.666540
## 680 No 5 No 85000 10.3 3.423205
## 681 Yes 8 No 54000 3.0 0.419580
## 682 No 10 No 37000 4.1 0.426277
## 683 No 0 No 36000 3.9 0.318708
## 684 No 2 No 18000 3.0 0.299160
## 685 No 2 No 17000 2.6 0.086632
## 686 No 32 Yes 20000 12.5 0.822500
## 687 No 6 No 68000 22.4 2.421888
## 688 No 2 No 149000 14.6 11.768914
## 689 No 0 No 16000 21.0 0.369600
## 690 No 18 No 46000 7.2 0.553104
## 691 No 11 No 97000 6.1 3.230682
## 692 No 9 No 95000 6.3 0.604485
## 693 No 10 No 54000 6.3 1.030806
## 694 No 4 No 37000 7.0 1.287230
## 695 Yes 8 No 33000 7.0 0.371910
## 696 Yes 11 No 120000 2.4 0.645120
## 697 No 3 No 45000 9.4 1.920420
## 698 Yes 22 No 197000 21.3 4.321983
## 699 No 13 No 78000 4.8 0.269568
## 700 No 34 No 148000 6.6 4.385832
## 701 No 3 No 35000 10.4 1.685320
## 702 No 10 No 58000 6.7 0.796630
## 703 No 0 No 44000 3.3 0.705672
## 704 No 0 No 19000 3.5 0.550620
## 705 No 13 No 89000 2.0 0.391600
## 706 No 35 No 97000 14.3 5.992272
## 707 No 9 No 41000 7.6 1.015816
## 708 No 15 Yes 16000 8.1 0.879984
## 709 No 1 No 43000 13.5 1.567350
## 710 No 1 No 35000 4.4 0.771540
## 711 No 2 No 16000 6.3 0.593712
## 712 No 10 No 84000 12.1 3.486252
## 713 No 13 No 46000 7.5 0.417450
## 714 No 5 No 39000 16.9 1.634568
## 715 Yes 3 No 24000 9.3 1.718640
## 716 No 23 No 54000 9.3 0.944136
## 717 No 20 No 59000 1.5 0.291165
## 718 No 21 Yes 10000 6.0 0.207000
## 719 No 25 Yes 47000 12.4 2.785784
## 720 No 3 No 14000 7.2 0.278208
## 721 No 28 No 108000 2.4 0.233280
## 722 No 8 No 36000 4.5 0.821340
## 723 No 11 No 60000 22.4 6.800640
## 724 No 5 No 33000 13.8 1.443618
## 725 Yes 9 No 73000 0.5 0.041975
## 726 No 3 No 70000 4.4 1.355200
## 727 No 5 No 42000 12.8 2.311680
## 728 Yes 3 No 34000 7.1 1.634278
## 729 No 14 No 204000 3.1 0.493272
## 730 Yes 0 No 16000 3.1 0.155744
## 731 No 6 No 43000 7.8 1.247688
## 732 Yes 2 No 18000 6.2 0.228780
## 733 No 0 No 19000 11.4 0.849072
## 734 Yes 10 Yes 9000 9.5 0.448875
## 735 No 0 No 23000 9.2 0.289892
## 736 No 9 Yes 18000 24.2 1.720620
## 737 No 13 Yes 14000 7.4 0.301476
## 738 No 7 No 44000 12.1 2.811072
## 739 No 7 Yes 9000 5.6 0.379512
## 740 No 5 Yes 9000 19.8 0.463320
## 741 No 4 No 41000 4.9 0.367647
## 742 No 0 No 42000 5.1 0.700434
## 743 No 12 No 67000 1.7 0.440793
## 744 No 6 No 25000 4.7 0.638025
## 745 Yes 0 No 40000 20.1 5.571720
## 746 No 3 No 28000 6.6 0.681912
## 747 No 1 No 42000 4.7 1.000818
## 748 No 14 No 58000 8.4 2.231376
## 749 No 2 No 39000 27.3 8.719893
## 750 No 11 No 46000 14.3 2.848274
## 751 Yes 33 Yes 13000 23.9 0.720824
## 752 No 7 No 62000 5.0 1.860000
## 753 Yes 2 No 55000 9.6 1.668480
## 754 No 9 No 26000 17.3 1.493336
## 755 No 29 No 515000 3.9 2.289690
## 756 No 8 No 39000 9.3 1.312974
## 757 Yes 7 No 40000 3.4 0.394400
## 758 No 13 No 59000 18.9 1.382724
## 759 No 4 No 77000 16.0 3.819200
## 760 No 3 No 15000 15.0 1.086750
## 761 No 0 No 19000 13.0 1.588210
## 762 Yes 6 No 22000 9.9 0.603306
## 763 Yes 11 No 41000 17.6 1.356608
## 764 No 0 No 16000 27.1 0.351216
## 765 Yes 17 No 97000 24.6 13.052514
## 766 No 1 No 18000 7.0 0.318780
## 767 Yes 8 No 45000 4.8 0.656640
## 768 No 0 No 13000 9.6 0.307008
## 769 No 4 No 27000 7.7 0.288981
## 770 No 6 No 45000 4.2 0.419580
## 771 No 0 No 39000 15.6 1.472328
## 772 No 4 No 76000 13.8 4.635696
## 773 Yes 3 No 46000 6.2 1.220656
## 774 No 5 No 73000 9.9 3.967623
## 775 Yes 0 No 20000 21.8 1.129240
## 776 No 0 No 36000 17.9 4.130604
## 777 No 20 No 131000 1.6 0.249424
## 778 No 1 No 40000 10.5 0.835800
## 779 No 9 No 63000 25.1 3.542112
## 780 No 5 No 73000 24.9 6.743667
## 781 Yes 2 No 61000 23.4 6.566040
## 782 Yes 9 No 24000 13.8 1.573200
## 783 No 3 No 41000 8.5 1.603100
## 784 Yes 1 No 25000 4.3 0.395600
## 785 No 4 No 15000 7.0 0.120750
## 786 No 0 No 20000 3.9 0.095940
## 787 Yes 0 No 29000 9.5 0.443555
## 788 No 10 No 62000 4.4 0.360096
## 789 No 12 No 34000 17.2 3.771960
## 790 No 3 No 22000 18.5 0.634920
## 791 No 6 No 36000 4.8 0.374976
## 792 Yes 0 No 24000 15.7 1.435608
## 793 No 1 No 18000 6.8 0.742968
## 794 No 1 No 28000 17.2 1.781920
## 795 No 18 No 78000 4.5 0.477360
## 796 Yes 11 No 40000 4.8 0.931200
## 797 No 12 Yes 14000 8.6 0.235984
## 798 No 18 No 78000 4.6 1.341912
## 799 No 6 No 48000 16.4 2.991360
## 800 No 29 No 99000 10.9 0.874071
## 801 No 4 No 80000 6.3 2.832480
## 802 No 25 Yes 29000 12.8 1.763200
## 803 No 2 No 32000 16.3 1.116224
## 804 No 2 No 24000 7.2 0.779328
## 805 No 9 No 41000 3.7 0.606800
## 806 Yes 22 No 83000 9.6 0.956160
## 807 No 4 No 17000 12.4 0.522784
## 808 No 0 No 22000 10.8 0.311256
## 809 No 0 No 16000 11.7 0.050544
## 810 No 5 No 33000 5.6 0.489720
## 811 Yes 4 No 29000 2.8 0.064148
## 812 No 2 No 84000 10.6 3.721872
## 813 No 3 No 20000 5.6 0.526400
## 814 No 8 No 41000 1.1 0.177243
## 815 No 10 No 113000 5.9 2.300115
## 816 No 11 No 42000 3.1 0.240870
## 817 No 13 No 76000 8.9 1.068712
## 818 No 12 No 91000 10.9 0.823277
## 819 No 27 Yes 38000 14.7 1.212162
## 820 No 25 No 167000 11.5 5.953550
## 821 No 12 No 143000 3.2 1.931072
## 822 No 37 Yes 27000 3.8 0.151848
## 823 No 3 No 21000 9.3 0.373023
## 824 No 4 No 57000 21.7 8.398551
## 825 No 1 No 20000 17.5 0.451500
## 826 No 20 Yes 11000 2.9 0.173536
## 827 No 17 Yes 22000 5.9 0.796972
## 828 No 3 No 30000 11.3 1.366170
## 829 No 2 No 19000 21.8 0.791122
## 830 No 13 No 25000 11.6 0.655400
## 831 No 8 No 59000 5.9 1.260122
## 832 Yes 11 No 51000 14.2 1.607724
## 833 Yes 23 Yes 16000 25.7 0.143920
## 834 No 5 No 74000 7.3 0.172864
## 835 No 1 No 56000 4.4 0.532224
## 836 No 5 No 32000 21.2 1.343232
## 837 No 14 Yes 17000 4.5 0.319005
## 838 No 6 No 39000 8.3 1.476072
## 839 No 8 No 38000 17.4 3.067968
## 840 No 1 No 34000 8.5 0.999940
## 841 No 12 No 25000 7.3 0.479975
## 842 No 0 No 15000 15.6 0.449280
## 843 No 0 No 21000 7.2 0.749952
## 844 Yes 2 No 30000 12.1 0.366630
## 845 No 2 No 27000 10.3 1.215297
## 846 No 5 No 23000 3.4 0.037536
## 847 No 9 No 25000 10.7 0.676775
## 848 No 12 No 59000 10.4 0.871312
## 849 No 5 Yes 19000 9.2 0.354844
## 850 No 1 No 19000 4.0 0.325280
## 851 No 23 No 40000 6.9 1.667040
## 852 No 11 No 172000 10.3 12.029164
## 853 No 25 No 85000 7.4 0.503200
## 854 No 0 No 25000 9.9 0.923175
## 855 No 2 No 24000 13.7 0.417576
## 856 No 0 No 20000 8.4 0.705600
## 857 No 3 No 51000 10.9 3.518847
## 858 No 3 No 36000 8.9 1.038096
## 859 No 7 No 20000 11.3 0.777440
## 860 No 4 No 45000 2.8 0.362880
## 861 No 1 No 60000 20.4 4.100400
## 862 No 3 No 22000 24.8 2.176944
## 863 No 14 No 134000 10.8 4.385016
## 864 No 7 No 33000 23.1 2.568951
## 865 No 10 No 35000 10.9 1.972355
## 866 No 24 No 130000 12.6 6.355440
## 867 No 0 No 38000 5.5 1.446280
## 868 Yes 0 No 24000 14.1 1.658160
## 869 No 4 No 34000 12.1 1.941808
## 870 No 3 No 226000 12.7 6.056122
## 871 Yes 13 No 96000 2.2 1.560768
## 872 No 7 No 16000 9.3 0.857088
## 873 No 1 No 37000 8.2 0.045510
## 874 No 4 No 33000 2.1 0.099792
## 875 No 1 No 29000 11.9 2.036090
## 876 Yes 24 Yes 24000 12.8 0.030720
## 877 No 0 No 24000 2.8 0.184800
## 878 No 0 No 32000 6.6 1.269312
## 879 No 4 No 30000 14.4 1.676160
## 880 Yes 23 Yes 42000 5.2 0.109200
## 881 No 2 No 24000 7.8 0.778752
## 882 No 7 No 20000 4.4 0.354640
## 883 Yes 9 No 43000 7.7 0.837683
## 884 No 17 No 79000 28.0 2.477440
## 885 No 1 No 59000 2.3 0.036639
## 886 No 14 No 36000 19.1 0.811368
## 887 No 4 No 56000 7.8 3.179904
## 888 No 34 Yes 18000 12.3 1.337256
## 889 Yes 4 No 39000 2.2 0.364650
## 890 No 2 No 52000 7.8 1.358760
## 891 No 5 No 24000 11.6 1.007808
## 892 Yes 7 No 42000 14.0 0.552720
## 893 No 13 No 64000 2.6 0.752128
## 894 No 3 No 61000 5.0 1.460950
## 895 No 30 No 141000 8.4 4.453344
## 896 No 4 No 60000 11.6 2.526480
## 897 No 2 No 32000 11.7 0.554112
## 898 No 17 No 86000 12.7 4.641850
## 899 No 0 No 13000 1.8 0.116064
## 900 Yes 22 No 150000 2.2 2.405700
## 901 No 6 No 126000 12.0 9.601200
## 902 Yes 1 No 22000 8.0 0.807840
## 903 No 0 No 56000 2.0 0.524160
## 904 No 3 No 118000 9.6 4.429248
## 905 No 4 No 33000 14.8 3.238092
## 906 No 17 No 57000 4.9 1.231713
## 907 No 0 No 65000 1.7 0.514930
## 908 No 6 No 64000 5.5 1.175680
## 909 No 35 Yes 11000 9.6 0.118272
## 910 No 18 No 38000 5.6 1.032080
## 911 No 0 No 13000 2.7 0.067041
## 912 No 0 No 24000 17.1 0.311904
## 913 No 11 No 34000 2.9 0.133110
## 914 Yes 16 No 114000 5.9 4.304640
## 915 No 28 Yes 9000 8.4 0.046116
## 916 No 27 No 116000 7.3 1.735940
## 917 No 7 No 105000 12.1 5.742660
## 918 No 1 No 18000 13.7 0.707742
## 919 Yes 17 No 46000 13.1 2.633362
## 920 Yes 2 No 52000 4.3 0.802724
## 921 No 5 No 62000 21.5 3.492460
## 922 No 4 No 73000 1.5 0.303315
## 923 No 4 No 27000 24.1 3.286035
## 924 No 8 No 212000 14.0 10.447360
## 925 No 2 No 49000 1.6 0.027440
## 926 No 1 No 48000 12.3 1.783008
## 927 No 4 Yes 9000 4.3 0.074691
## 928 Yes 6 No 111000 4.2 2.484846
## 929 No 3 No 58000 14.2 1.927224
## 930 No 10 No 54000 10.0 1.738800
## 931 Yes 14 No 55000 7.4 3.219370
## 932 No 27 Yes 29000 6.0 0.816060
## 933 No 9 Yes 9000 3.7 0.046620
## 934 No 7 No 39000 18.4 1.521312
## 935 No 11 Yes 10000 9.4 0.157920
## 936 No 10 No 25000 6.8 0.734400
## 937 Yes 10 No 40000 4.3 0.885800
## 938 No 31 Yes 66000 20.0 6.098400
## 939 No 5 No 58000 7.7 1.170092
## 940 No 19 No 109000 4.6 2.246272
## 941 No 10 No 48000 6.9 1.550016
## 942 No 13 No 76000 7.2 1.761984
## 943 Yes 29 Yes 22000 6.0 0.884400
## 944 No 10 No 35000 8.7 2.268525
## 945 No 15 No 77000 7.6 2.241316
## 946 Yes 0 No 23000 5.4 0.232254
## 947 No 0 No 107000 3.6 1.005372
## 948 No 1 No 56000 16.1 5.490744
## 949 No 40 Yes 23000 9.3 0.767901
## 950 No 16 No 64000 6.0 0.741120
## 951 No 8 No 89000 4.3 2.418664
## 952 No 0 No 60000 13.5 1.263600
## 953 No 12 No 44000 8.2 1.482888
## 954 No 12 No 63000 2.6 0.296478
## 955 No 11 No 150000 11.1 5.611050
## 956 No 9 No 13000 13.8 0.794742
## 957 No 15 No 51000 3.6 0.378216
## 958 No 0 No 39000 27.9 2.818179
## 959 No 16 Yes 31000 4.3 0.543864
## 960 No 0 No 13000 5.2 0.284596
## 961 No 19 No 146000 21.1 16.419598
## 962 No 12 No 121000 6.5 2.249390
## 963 No 3 No 31000 14.9 1.639745
## 964 No 2 No 44000 8.5 1.021020
## 965 No 27 Yes 10000 12.1 0.678810
## 966 No 1 No 27000 20.6 2.530710
## 967 No 14 No 34000 10.0 2.499000
## 968 No 5 No 92000 5.1 2.308464
## 969 No 1 No 25000 2.4 0.058800
## 970 No 10 No 38000 9.7 1.124230
## 971 No 36 No 95000 10.8 2.985660
## 972 No 7 No 63000 8.4 0.910224
## 973 Yes 5 No 32000 1.3 0.180128
## 974 No 0 No 13000 23.3 0.193856
## 975 No 7 No 65000 5.1 2.459730
## 976 Yes 16 No 148000 11.3 2.207568
## 977 Yes 0 No 44000 6.0 0.691680
## 978 No 1 No 17000 6.5 0.193375
## 979 No 9 No 72000 21.1 5.362776
## 980 No 14 No 53000 4.6 2.084490
## 981 No 19 No 186000 12.4 13.976784
## 982 No 3 No 29000 18.3 0.689910
## 983 No 6 No 93000 18.9 3.462669
## 984 No 3 No 60000 1.1 0.213180
## 985 No 3 No 42000 12.3 1.585962
## 986 No 5 No 85000 10.7 5.939035
## 987 Yes 12 No 49000 3.5 0.891800
## 988 No 2 No 26000 10.4 0.451568
## 989 No 4 Yes 12000 11.2 0.753984
## 990 Yes 31 No 411000 8.3 10.506804
## 991 No 17 No 80000 36.7 9.718160
## 992 No 19 No 136000 3.3 0.610368
## 993 Yes 19 No 91000 8.4 3.546816
## 994 No 4 No 81000 10.4 1.861704
## 995 Yes 0 No 21000 10.4 0.936936
## 996 Yes 19 No 75000 8.6 1.909200
## 997 No 4 No 73000 10.9 1.106023
## 998 No 21 Yes 17000 13.7 0.943245
## 999 No 6 No 41000 26.2 4.844642
## 1000 No 3 No 22000 9.4 1.573748
## 1001 No 5 No 22000 6.6 1.001880
## 1002 No 8 No 28000 16.6 2.416960
## 1003 No 6 No 27000 17.6 2.556576
## 1004 No 1 No 18000 7.5 0.288900
## 1005 No 5 No 40000 17.2 2.889600
## 1006 No 19 No 102000 7.4 1.871904
## 1007 No 13 No 53000 12.0 1.195680
## 1008 No 0 No 25000 4.7 0.486450
## 1009 No 4 No 23000 7.5 0.360525
## 1010 No 4 No 33000 9.4 1.104312
## 1011 No 3 No 68000 3.9 0.304980
## 1012 No 1 No 66000 12.2 0.571692
## 1013 No 16 No 49000 14.8 1.689716
## 1014 No 7 No 34000 9.1 1.605786
## 1015 No 9 No 111000 7.4 3.195246
## 1016 No 7 No 56000 21.3 1.455216
## 1017 No 7 No 19000 7.8 0.400140
## 1018 No 32 No 180000 14.0 13.885200
## 1019 No 16 No 64000 7.0 1.344000
## 1020 No 1 No 20000 11.9 1.061480
## 1021 No 30 Yes 29000 12.8 1.922816
## 1022 No 3 No 27000 8.2 0.230256
## 1023 No 4 No 31000 8.1 1.453869
## 1024 No 1 No 32000 7.1 0.420320
## 1025 Yes 10 No 68000 13.8 3.143640
## 1026 No 5 No 20000 15.8 1.039640
## 1027 No 5 No 29000 8.4 0.638232
## 1028 Yes 0 No 17000 4.8 0.113424
## 1029 Yes 12 No 29000 7.8 0.393588
## 1030 No 6 Yes 13000 14.7 0.607698
## 1031 No 19 Yes 21000 7.5 0.047250
## 1032 Yes 0 No 24000 6.1 0.335256
## 1033 No 2 No 99000 23.4 4.355208
## 1034 Yes 4 No 22000 1.2 0.149688
## 1035 No 29 No 242000 8.7 7.411008
## 1036 No 6 No 52000 9.5 2.084680
## 1037 Yes 10 No 34000 7.2 0.724608
## 1038 No 12 Yes 9000 11.3 0.112887
## 1039 No 7 No 64000 10.5 2.110080
## 1040 No 0 No 24000 2.9 0.273528
## 1041 No 30 Yes 11000 13.3 0.715407
## 1042 Yes 28 No 70000 9.6 0.752640
## 1043 No 3 No 49000 9.1 1.137045
## 1044 Yes 1 No 24000 9.9 0.736560
## 1045 Yes 3 No 19000 3.0 0.369930
## 1046 No 19 No 68000 8.8 2.758624
## 1047 No 46 Yes 48000 13.8 2.159424
## 1048 No 0 No 49000 1.4 0.134456
## 1049 No 11 No 41000 7.3 0.395076
## 1050 No 5 No 28000 12.6 0.070560
## 1051 No 3 No 47000 5.0 0.754350
## 1052 No 3 No 37000 15.5 0.458800
## 1053 Yes 0 No 20000 23.7 1.355640
## 1054 No 0 No 14000 14.7 0.852012
## 1055 No 9 No 73000 5.7 1.294071
## 1056 No 7 No 43000 7.5 0.790125
## 1057 No 2 No 19000 3.5 0.097090
## 1058 No 1 No 34000 14.2 1.805672
## 1059 No 0 No 36000 7.8 0.766584
## 1060 No 2 No 119000 4.6 1.631252
## 1061 No 3 No 98000 3.6 1.972152
## 1062 No 23 No 62000 13.7 5.487124
## 1063 No 0 No 21000 9.2 1.066464
## 1064 No 4 No 32000 8.0 1.136640
## 1065 No 5 Yes 35000 3.2 0.067200
## 1066 Yes 11 No 51000 3.3 0.309672
## 1067 Yes 14 No 62000 11.1 2.174712
## 1068 No 3 No 69000 18.5 3.165720
## 1069 No 0 No 25000 10.2 1.560600
## 1070 No 8 No 29000 14.0 0.783580
## 1071 No 2 No 24000 5.2 0.123552
## 1072 No 1 No 43000 12.0 2.502600
## 1073 No 9 No 80000 13.3 2.223760
## 1074 No 12 No 65000 17.3 3.306030
## 1075 No 4 No 43000 11.3 0.796876
## 1076 No 7 No 32000 4.8 0.486912
## 1077 No 11 No 60000 6.9 1.080540
## 1078 No 13 No 87000 5.1 1.273419
## 1079 No 0 No 58000 5.6 1.646736
## 1080 Yes 15 No 43000 10.9 1.129567
## 1081 No 0 No 20000 9.5 0.435100
## 1082 No 6 No 30000 3.4 0.758880
## 1083 No 8 No 35000 12.7 1.586865
## 1084 No 7 No 111000 7.5 1.140525
## 1085 No 8 No 26000 14.6 1.882816
## 1086 No 5 No 30000 17.4 0.318420
## 1087 No 34 Yes 12000 16.7 0.953904
## 1088 No 8 No 44000 4.2 0.687456
## 1089 No 7 No 30000 21.6 2.235600
## 1090 No 21 Yes 61000 14.8 1.498648
## 1091 No 21 Yes 12000 27.3 0.864864
## 1092 No 7 No 134000 14.6 12.168808
## 1093 Yes 3 No 46000 7.0 1.268680
## 1094 No 25 Yes 11000 10.6 0.645964
## 1095 No 28 Yes 11000 13.3 0.735889
## 1096 No 9 No 33000 10.8 1.375704
## 1097 No 0 No 19000 9.0 0.331740
## 1098 No 4 Yes 10000 3.4 0.122740
## 1099 No 20 No 58000 28.1 7.350398
## 1100 No 3 No 40000 10.9 0.566800
## 1101 No 6 No 47000 1.5 0.318660
## 1102 No 10 No 48000 3.0 0.118080
## 1103 No 20 No 1073000 19.7 109.072596
## 1104 No 33 No 240000 16.4 4.290240
## 1105 No 0 No 28000 24.3 4.238892
## 1106 No 18 No 35000 11.9 1.057910
## 1107 Yes 0 No 28000 13.7 1.657152
## 1108 No 9 No 32000 0.6 0.016320
## 1109 No 13 No 44000 11.5 1.482580
## 1110 No 0 No 16000 14.6 0.985792
## 1111 No 35 Yes 39000 22.5 3.246750
## 1112 No 13 No 115000 9.6 3.267840
## 1113 No 5 No 47000 17.7 5.731791
## 1114 No 3 No 31000 11.0 1.445840
## 1115 No 32 Yes 35000 12.2 1.998360
## 1116 No 30 Yes 38000 19.2 1.794816
## 1117 No 0 No 16000 13.7 0.471280
## 1118 No 19 No 80000 2.4 0.506880
## 1119 No 1 No 53000 2.3 0.618033
## 1120 No 9 Yes 9000 11.6 0.493812
## 1121 No 16 No 49000 6.0 2.090340
## 1122 No 20 No 54000 10.4 2.021760
## 1123 No 0 No 14000 2.3 0.033166
## 1124 No 14 No 42000 23.8 5.867652
## 1125 No 6 No 25000 15.7 1.687750
## 1126 No 1 No 36000 20.0 1.101600
## 1127 Yes 4 No 30000 3.1 0.640770
## 1128 No 2 No 37000 2.0 0.224960
## 1129 Yes 4 No 30000 13.9 0.792300
## 1130 No 18 No 53000 16.1 1.194620
## 1131 Yes 9 No 49000 19.1 0.720643
## 1132 No 4 No 30000 7.6 0.647520
## 1133 No 5 No 26000 7.8 0.551616
## 1134 No 0 No 24000 14.3 0.566280
## 1135 No 8 Yes 23000 2.8 0.435344
## 1136 Yes 8 No 50000 10.8 1.058400
## 1137 Yes 4 No 41000 12.8 0.341120
## 1138 No 0 No 18000 11.1 0.643356
## 1139 No 2 No 51000 2.4 0.515304
## 1140 No 11 No 51000 3.5 0.542640
## 1141 No 4 No 37000 5.5 0.592185
## 1142 No 2 No 29000 13.1 0.869971
## 1143 No 11 No 68000 8.8 0.454784
## 1144 No 18 Yes 10000 4.8 0.161760
## 1145 No 19 No 109000 19.1 5.329664
## 1146 Yes 22 No 158000 9.1 6.139406
## 1147 No 1 No 47000 2.2 0.158202
## 1148 No 30 No 259000 13.6 24.022768
## 1149 No 16 No 52000 6.8 1.831648
## 1150 No 18 Yes 22000 5.4 0.068904
## 1151 No 9 No 41000 0.5 0.139195
## 1152 No 5 No 22000 6.3 0.801108
## 1153 No 32 No 224000 16.0 5.017600
## 1154 No 6 No 34000 10.2 0.981444
## 1155 No 8 No 103000 14.0 3.518480
## 1156 No 0 No 30000 4.7 0.283410
## 1157 No 11 No 37000 6.7 0.190883
## 1158 No 5 No 27000 22.5 1.458000
## 1159 No 3 No 16000 13.9 0.289120
## 1160 No 7 No 26000 5.8 0.903292
## 1161 No 5 No 89000 11.2 5.093648
## 1162 No 0 No 28000 9.6 1.016064
## 1163 No 16 No 56000 19.1 3.048360
## 1164 Yes 0 No 25000 3.1 0.475850
## 1165 No 5 No 40000 18.1 1.817240
## 1166 No 1 No 29000 10.5 0.788655
## 1167 No 0 No 48000 4.5 0.559440
## 1168 Yes 5 No 67000 15.2 1.904408
## 1169 No 15 No 77000 26.7 12.499872
## 1170 No 21 No 93000 16.3 4.411269
## 1171 No 2 No 26000 13.8 0.975936
## 1172 No 43 Yes 20000 8.9 0.494840
## 1173 No 10 No 87000 5.6 3.137568
## 1174 No 0 No 14000 15.2 0.789488
## 1175 No 2 No 44000 8.8 0.650496
## 1176 No 26 Yes 18000 18.0 0.239760
## 1177 No 0 No 17000 4.7 0.243695
## 1178 Yes 10 No 29000 10.6 1.537000
## 1179 No 21 No 76000 7.3 0.654664
## 1180 Yes 7 No 84000 1.5 0.603540
## 1181 No 9 Yes 21000 11.6 0.713748
## 1182 No 20 No 67000 22.6 3.846068
## 1183 No 8 No 122000 3.8 1.877580
## 1184 No 4 No 27000 5.7 0.393984
## 1185 No 3 No 46000 7.8 2.281968
## 1186 No 11 No 78000 1.0 0.170820
## 1187 No 2 No 30000 17.5 2.089500
## 1188 No 0 No 33000 3.7 0.405372
## 1189 Yes 11 No 179000 3.8 3.278564
## 1190 No 20 No 80000 12.2 5.250880
## 1191 No 0 No 17000 2.9 0.139519
## 1192 No 0 No 18000 16.4 1.511424
## 1193 No 22 No 280000 4.6 8.487920
## 1194 No 13 Yes 42000 13.9 1.103382
## 1195 No 4 No 32000 5.8 0.064960
## 1196 No 26 Yes 45000 2.6 0.384930
## 1197 No 19 Yes 13000 28.4 0.572260
## 1198 No 7 No 55000 21.0 4.608450
## 1199 No 3 No 20000 18.6 1.000680
## 1200 No 1 No 33000 6.9 0.792396
## 1201 No 23 No 59000 8.7 1.986471
## 1202 No 27 Yes 12000 17.0 0.599760
## 1203 No 16 No 58000 6.0 0.668160
## 1204 No 9 No 84000 4.9 1.518804
## 1205 No 7 No 62000 4.0 0.136400
## 1206 No 4 No 27000 10.8 1.280124
## 1207 No 8 No 63000 17.6 2.516976
## 1208 No 4 No 56000 6.6 1.289904
## 1209 Yes 34 No 202000 1.9 2.402588
## 1210 No 6 No 29000 21.2 2.588308
## 1211 No 2 No 35000 14.6 0.853370
## 1212 No 14 No 29000 14.1 0.601083
## 1213 No 5 No 138000 8.4 3.025512
## 1214 No 23 No 145000 6.9 5.152575
## 1215 No 0 No 21000 7.2 1.047816
## 1216 No 1 No 17000 11.9 1.134903
## 1217 No 1 No 14000 15.3 0.646884
## 1218 No 8 Yes 10000 6.8 0.111520
## 1219 No 3 No 24000 22.9 1.500408
## 1220 No 0 No 127000 7.4 4.849368
## 1221 No 7 No 22000 6.6 0.180048
## 1222 No 4 No 27000 5.0 0.120150
## 1223 No 9 No 71000 16.0 4.384960
## 1224 No 28 No 130000 12.6 3.407040
## 1225 No 0 No 20000 10.0 1.142000
## 1226 No 15 No 56000 0.3 0.038976
## 1227 Yes 3 No 48000 11.8 0.821280
## 1228 No 12 No 60000 15.3 3.102840
## 1229 No 0 No 19000 6.6 0.726066
## 1230 No 9 No 72000 7.8 3.071952
## 1231 No 20 No 56000 12.7 1.159256
## 1232 No 3 No 58000 19.4 3.386852
## 1233 No 29 No 106000 29.0 5.010620
## 1234 No 0 No 22000 10.7 0.108284
## 1235 No 1 No 21000 8.7 0.160776
## 1236 No 9 No 41000 20.5 4.900115
## 1237 No 4 No 45000 10.0 1.705500
## 1238 Yes 45 No 346000 13.6 3.811536
## 1239 Yes 6 No 34000 1.2 0.052632
## 1240 No 12 No 68000 8.3 2.319684
## 1241 No 10 No 25000 2.6 0.449150
## 1242 No 2 No 25000 9.8 1.607200
## 1243 Yes 26 Yes 19000 2.6 0.137826
## 1244 Yes 11 No 44000 21.7 8.211280
## 1245 No 6 No 81000 27.0 7.851330
## 1246 No 2 No 48000 4.8 1.075968
## 1247 No 6 No 39000 8.1 1.642680
## 1248 No 3 No 19000 36.4 1.459276
## 1249 No 31 Yes 16000 7.7 0.317856
## 1250 No 24 Yes 68000 5.8 1.932560
## 1251 No 10 No 35000 12.4 1.931300
## 1252 No 28 Yes 38000 17.1 1.624500
## 1253 No 1 No 29000 15.7 3.132464
## 1254 No 18 No 113000 3.0 0.616980
## 1255 Yes 38 Yes 37000 7.3 1.069596
## 1256 No 1 No 34000 11.4 0.585276
## 1257 No 37 Yes 46000 5.8 0.789728
## 1258 No 1 No 32000 3.8 0.667584
## 1259 No 8 No 36000 13.6 0.259488
## 1260 Yes 33 Yes 73000 11.5 3.139730
## 1261 No 3 No 20000 5.3 0.766380
## 1262 No 15 No 55000 4.7 1.351955
## 1263 No 18 No 187000 2.1 0.357357
## 1264 No 15 Yes 32000 9.9 0.709632
## 1265 No 12 No 28000 13.3 2.118956
## 1266 No 2 No 16000 11.4 0.282720
## 1267 No 15 No 146000 11.0 1.766600
## 1268 No 4 No 30000 5.4 0.272160
## 1269 No 11 No 45000 7.0 1.801800
## 1270 No 14 No 56000 8.1 0.671328
## 1271 No 2 No 60000 9.9 1.247400
## 1272 No 1 No 18000 4.3 0.175698
## 1273 No 8 No 24000 20.2 2.360976
## 1274 Yes 0 No 26000 5.2 0.721968
## 1275 No 37 Yes 55000 16.5 2.958450
## 1276 No 3 No 33000 16.4 1.769724
## 1277 Yes 5 No 78000 16.0 1.372800
## 1278 No 0 No 20000 12.7 0.426720
## 1279 No 0 No 19000 9.2 0.333868
## 1280 Yes 0 No 25000 27.2 2.733600
## 1281 No 3 No 47000 13.7 0.379901
## 1282 No 31 Yes 9000 19.9 0.111042
## 1283 No 0 No 14000 5.8 0.115304
## 1284 No 17 No 60000 21.2 5.011680
## 1285 No 5 No 21000 8.5 0.410550
## 1286 Yes 9 No 54000 15.5 5.833890
## 1287 Yes 1 No 32000 8.9 0.555360
## 1288 No 8 Yes 12000 1.9 0.079116
## 1289 No 0 No 67000 8.2 2.175624
## 1290 No 0 No 19000 1.1 0.132088
## 1291 No 3 No 40000 4.5 0.268200
## 1292 No 3 No 21000 2.3 0.029946
## 1293 Yes 16 No 179000 5.1 5.513916
## 1294 No 8 No 17000 7.7 0.422807
## 1295 No 7 No 21000 6.4 0.604800
## 1296 No 1 No 28000 4.1 0.328328
## 1297 No 4 No 28000 12.2 0.939400
## 1298 No 23 No 170000 4.5 0.390150
## 1299 No 35 No 129000 13.0 7.261410
## 1300 No 5 No 29000 13.7 0.627734
## 1301 No 0 No 28000 16.4 0.886256
## 1302 No 4 No 46000 0.7 0.060858
## 1303 No 0 No 77000 11.1 0.145299
## 1304 No 1 No 70000 3.1 0.787710
## 1305 Yes 1 No 31000 1.5 0.241800
## 1306 No 15 Yes 48000 14.9 1.494768
## 1307 No 6 No 30000 18.0 3.445200
## 1308 No 43 Yes 98000 11.7 6.547086
## 1309 No 1 No 57000 8.2 2.505264
## 1310 Yes 33 No 137000 1.4 0.180292
## 1311 No 4 No 56000 7.2 1.100736
## 1312 No 13 No 142000 14.5 3.891510
## 1313 No 2 No 20000 1.8 0.115200
## 1314 No 2 No 15000 6.2 0.687270
## 1315 Yes 33 Yes 49000 14.1 0.690900
## 1316 Yes 1 No 32000 7.1 0.708864
## 1317 No 0 No 22000 0.8 0.074976
## 1318 No 19 No 74000 17.3 1.907498
## 1319 No 8 No 38000 4.1 0.344318
## 1320 No 8 No 47000 10.6 0.602822
## 1321 No 12 No 112000 3.6 3.302208
## 1322 No 43 Yes 19000 9.4 0.435784
## 1323 No 7 No 29000 3.7 0.258593
## 1324 No 30 Yes 12000 2.5 0.034500
## 1325 Yes 0 No 21000 24.3 1.158381
## 1326 No 0 No 18000 7.4 0.656676
## 1327 No 0 No 31000 8.2 0.785478
## 1328 No 4 No 79000 6.5 2.300480
## 1329 No 12 No 113000 2.9 1.481204
## 1330 Yes 24 No 160000 12.0 5.798400
## 1331 No 21 No 83000 5.1 2.222325
## 1332 No 21 Yes 14000 7.5 0.216300
## 1333 No 13 No 97000 3.2 0.794624
## 1334 No 6 No 46000 12.6 2.121336
## 1335 Yes 21 No 111000 15.3 1.069929
## 1336 No 5 Yes 37000 4.2 0.369852
## 1337 Yes 0 No 43000 2.4 0.553152
## 1338 No 2 No 33000 8.3 0.597102
## 1339 No 2 No 102000 11.0 0.920040
## 1340 No 10 No 42000 12.9 2.107602
## 1341 No 4 No 92000 16.1 4.325104
## 1342 No 3 No 33000 10.4 0.559416
## 1343 No 7 No 27000 7.3 0.041391
## 1344 No 4 No 23000 25.4 1.618234
## 1345 No 2 No 27000 13.0 2.056860
## 1346 No 5 No 32000 15.8 1.066816
## 1347 Yes 9 No 44000 21.6 3.041280
## 1348 No 4 No 42000 18.4 4.064928
## 1349 No 8 No 50000 7.6 0.900600
## 1350 Yes 8 Yes 15000 9.8 0.366030
## 1351 No 4 No 22000 5.1 0.366894
## 1352 No 1 No 40000 27.9 6.037560
## 1353 No 17 No 71000 11.6 2.940252
## 1354 No 14 No 88000 15.4 2.764608
## 1355 No 1 No 23000 9.8 0.592802
## 1356 No 0 No 29000 2.1 0.205842
## 1357 No 3 Yes 11000 11.7 0.958815
## 1358 No 1 No 23000 3.9 0.292422
## 1359 No 18 No 69000 18.2 1.532076
## 1360 Yes 23 No 83000 19.6 14.315840
## 1361 No 0 No 21000 5.1 0.328797
## 1362 Yes 28 Yes 60000 15.4 1.256640
## 1363 No 25 Yes 20000 14.4 0.299520
## 1364 Yes 1 No 29000 13.9 0.495813
## 1365 No 24 Yes 48000 3.0 0.754560
## 1366 No 6 No 38000 15.6 3.539016
## 1367 No 8 No 37000 18.3 0.690642
## 1368 No 15 No 68000 9.6 2.813568
## 1369 No 8 No 88000 12.9 2.508792
## 1370 No 0 No 44000 8.3 1.296460
## 1371 No 12 No 90000 3.1 1.305720
## 1372 No 5 No 29000 5.8 0.380132
## 1373 No 12 No 35000 1.7 0.033320
## 1374 No 7 No 91000 3.0 0.884520
## 1375 No 37 Yes 29000 8.9 0.412960
## 1376 No 0 No 24000 14.2 0.814512
## 1377 No 5 No 49000 15.9 2.025660
## 1378 No 1 No 20000 3.1 0.233740
## 1379 No 21 No 68000 14.8 2.385168
## 1380 No 25 No 72000 21.1 2.780136
## 1381 No 7 No 29000 9.3 1.359288
## 1382 No 16 No 74000 13.4 4.601024
## 1383 Yes 13 Yes 10000 15.7 0.202530
## 1384 No 4 No 35000 2.3 0.418600
## 1385 No 14 No 68000 11.9 3.139696
## 1386 No 14 No 33000 18.3 2.500146
## 1387 No 3 No 16000 17.4 0.704352
## 1388 Yes 18 No 63000 19.8 3.941784
## 1389 Yes 28 No 159000 11.3 6.216582
## 1390 Yes 6 No 37000 9.3 0.726051
## 1391 No 13 No 34000 12.8 1.375232
## 1392 No 6 Yes 15000 15.8 1.211070
## 1393 No 7 No 30000 2.7 0.253530
## 1394 Yes 13 No 42000 7.5 1.883700
## 1395 No 1 No 28000 10.9 0.869820
## 1396 Yes 4 No 31000 5.6 0.277760
## 1397 No 4 No 53000 5.4 0.818532
## 1398 No 7 No 59000 17.3 6.277305
## 1399 Yes 0 No 29000 10.3 0.409219
## 1400 No 0 No 21000 6.5 0.623805
## 1401 No 3 No 41000 9.0 1.955700
## 1402 No 43 Yes 29000 9.4 1.575628
## 1403 No 13 No 92000 9.7 1.579548
## 1404 No 6 No 26000 3.6 0.720720
## 1405 No 9 No 59000 16.9 2.482779
## 1406 No 8 Yes 18000 13.9 0.535428
## 1407 No 3 No 16000 11.2 0.521472
## 1408 No 0 No 22000 13.9 1.220142
## 1409 No 0 No 16000 12.2 0.833504
## 1410 No 10 Yes 9000 34.1 0.902286
## 1411 No 39 No 209000 1.1 0.919600
## 1412 No 1 No 30000 16.9 1.546350
## 1413 Yes 3 No 72000 11.3 4.922280
## 1414 No 0 No 24000 10.4 1.517568
## 1415 No 3 No 138000 6.2 2.233116
## 1416 No 4 No 15000 7.3 0.533265
## 1417 No 7 No 108000 5.4 0.110808
## 1418 Yes 1 No 87000 9.1 1.551732
## 1419 No 0 No 42000 1.6 0.089376
## 1420 No 4 No 25000 8.1 0.803925
## 1421 No 3 No 20000 2.5 0.123500
## 1422 No 1 No 23000 3.1 0.094116
## 1423 Yes 15 No 57000 4.6 1.297890
## 1424 No 5 No 32000 14.7 1.204224
## 1425 No 23 No 140000 0.1 0.042840
## 1426 No 12 No 106000 5.2 2.667808
## 1427 No 2 No 23000 15.7 0.891917
## 1428 Yes 19 No 103000 10.1 3.058482
## 1429 No 9 No 45000 13.5 0.978075
## 1430 No 0 No 23000 2.0 0.084180
## 1431 Yes 28 No 115000 41.0 17.115450
## 1432 No 23 No 53000 8.2 2.242536
## 1433 No 11 No 66000 2.0 0.674520
## 1434 No 30 No 74000 5.0 2.264400
## 1435 No 27 No 261000 14.3 9.293427
## 1436 No 17 No 88000 11.2 1.291136
## 1437 No 31 Yes 11000 9.8 0.286748
## 1438 No 12 No 54000 3.4 0.029376
## 1439 No 0 No 20000 3.7 0.202020
## 1440 Yes 7 No 30000 15.2 1.564080
## 1441 Yes 8 No 23000 5.3 0.175536
## 1442 No 25 Yes 22000 10.6 0.349800
## 1443 No 0 No 89000 10.3 3.565963
## 1444 No 15 Yes 44000 9.8 0.620928
## 1445 No 32 Yes 25000 7.3 0.698975
## 1446 Yes 0 No 35000 28.3 3.496465
## 1447 No 1 No 34000 11.7 1.833858
## 1448 No 39 Yes 12000 4.2 0.235872
## 1449 No 8 No 35000 5.5 0.823900
## 1450 No 4 No 21000 1.9 0.124488
## 1451 No 16 No 90000 2.8 0.279720
## 1452 No 0 No 17000 4.9 0.185759
## 1453 No 11 No 46000 6.6 1.985544
## 1454 No 3 No 36000 17.3 1.731384
## 1455 No 3 No 47000 21.5 2.435305
## 1456 No 7 No 32000 13.8 0.869952
## 1457 No 15 No 148000 23.0 8.339800
## 1458 No 9 No 37000 6.5 0.440115
## 1459 No 10 No 33000 3.9 0.198198
## 1460 No 31 Yes 48000 8.7 1.895904
## 1461 No 4 No 93000 1.6 0.797568
## 1462 No 6 No 39000 5.3 0.715182
## 1463 No 0 No 40000 5.1 0.915960
## 1464 No 0 No 13000 1.6 0.007280
## 1465 No 6 No 52000 22.6 2.749968
## 1466 Yes 2 No 22000 7.1 0.337392
## 1467 No 22 No 137000 18.2 16.755648
## 1468 No 20 No 134000 12.1 1.232264
## 1469 No 17 No 91000 14.0 1.974700
## 1470 No 10 No 77000 5.7 2.080386
## 1471 Yes 32 Yes 12000 4.8 0.095616
## 1472 No 13 No 46000 6.4 0.841984
## 1473 No 17 No 36000 5.3 0.200340
## 1474 No 0 No 29000 9.3 1.308045
## 1475 No 1 No 31000 18.4 2.030624
## 1476 No 9 No 41000 18.0 1.380060
## 1477 No 1 No 156000 2.7 1.229904
## 1478 Yes 34 Yes 37000 0.9 0.197469
## 1479 No 16 No 41000 11.5 1.070305
## 1480 No 6 No 37000 3.2 0.505568
## 1481 No 18 No 52000 10.7 1.524536
## 1482 Yes 1 No 19000 13.1 0.345971
## 1483 No 0 No 20000 6.9 0.567180
## 1484 No 2 No 16000 12.0 1.017600
## 1485 No 0 No 30000 4.4 0.154440
## 1486 No 7 No 45000 10.9 1.697130
## 1487 No 3 No 22000 10.5 0.468930
## 1488 Yes 15 No 68000 1.5 0.697680
## 1489 Yes 10 No 69000 9.0 1.906470
## 1490 No 6 Yes 28000 5.1 0.389844
## 1491 No 4 No 64000 16.1 4.420416
## 1492 No 1 No 44000 19.1 3.924668
## 1493 No 4 No 27000 9.0 1.355940
## 1494 No 40 Yes 14000 6.9 0.127512
## 1495 No 12 Yes 16000 17.6 1.543168
## 1496 No 15 No 61000 7.0 0.888160
## 1497 No 11 No 119000 18.4 3.218712
## 1498 No 18 No 67000 4.1 0.598846
## 1499 No 13 No 91000 8.2 1.708798
## 1500 No 13 No 117000 1.4 0.601146
## 1501 No 27 Yes 18000 12.6 1.823472
## 1502 No 22 No 57000 0.7 0.084588
## 1503 No 1 No 40000 3.1 0.353400
## 1504 No 6 No 48000 17.9 4.201488
## 1505 Yes 9 No 81000 6.9 1.531386
## 1506 No 0 No 25000 7.5 0.810000
## 1507 No 14 No 85000 2.0 0.357000
## 1508 Yes 1 No 20000 1.7 0.045220
## 1509 No 29 No 133000 9.8 3.349738
## 1510 Yes 3 No 28000 6.4 0.715008
## 1511 No 2 No 33000 10.7 0.780351
## 1512 No 32 No 88000 29.2 9.918656
## 1513 No 15 No 52000 11.3 1.974336
## 1514 No 11 Yes 11000 11.8 0.883938
## 1515 No 18 No 130000 2.2 0.715000
## 1516 No 3 No 37000 8.6 0.986420
## 1517 No 10 No 33000 7.7 0.670824
## 1518 Yes 0 No 40000 8.4 1.189440
## 1519 No 4 No 19000 1.9 0.163172
## 1520 No 0 No 44000 3.0 0.236280
## 1521 No 10 Yes 9000 14.6 0.663570
## 1522 Yes 19 No 123000 15.8 4.975104
## 1523 No 11 No 54000 12.0 1.587600
## 1524 No 2 No 137000 1.5 0.737745
## 1525 No 3 No 35000 10.1 1.976065
## 1526 No 10 No 38000 4.7 0.171456
## 1527 No 3 No 218000 6.1 0.239364
## 1528 No 7 No 35000 9.7 0.373450
## 1529 No 2 No 33000 4.2 0.303534
## 1530 No 17 Yes 21000 3.1 0.220038
## 1531 No 6 Yes 11000 27.5 2.353450
## 1532 No 0 No 14000 23.0 0.534520
## 1533 No 17 No 91000 1.1 0.450450
## 1534 No 13 Yes 20000 7.0 0.350000
## 1535 No 14 No 102000 5.5 2.064480
## 1536 No 9 No 66000 1.5 0.653400
## 1537 Yes 0 No 44000 5.7 0.722304
## 1538 No 0 No 44000 17.1 0.722304
## 1539 No 8 No 67000 17.5 2.063600
## 1540 No 2 No 20000 3.1 0.213280
## 1541 No 2 No 38000 5.8 0.806664
## 1542 No 6 No 76000 6.3 2.920680
## 1543 No 9 No 49000 8.6 0.939722
## 1544 No 4 No 40000 3.9 0.477360
## 1545 No 0 No 27000 11.6 1.562868
## 1546 No 13 No 70000 19.2 6.585600
## 1547 No 6 No 38000 2.6 0.412984
## 1548 No 3 No 38000 11.0 2.842400
## 1549 Yes 10 Yes 15000 15.9 0.806130
## 1550 Yes 2 No 40000 18.2 4.244240
## 1551 Yes 8 No 44000 1.4 0.082544
## 1552 No 5 No 73000 8.3 1.448101
## 1553 No 4 Yes 10000 12.1 0.252890
## 1554 No 0 No 17000 7.8 0.640458
## 1555 Yes 6 Yes 13000 14.1 1.097967
## 1556 No 23 No 167000 4.8 5.947872
## 1557 No 2 No 43000 4.9 1.082998
## 1558 No 5 No 80000 7.5 1.944000
## 1559 No 5 No 29000 7.3 0.459389
## 1560 No 15 No 55000 22.4 1.232000
## 1561 No 15 No 116000 11.5 8.857760
## 1562 Yes 20 Yes 9000 9.4 0.347706
## 1563 No 12 No 75000 6.5 1.238250
## 1564 No 3 No 70000 8.1 2.903040
## 1565 No 9 No 89000 5.5 0.802780
## 1566 No 5 No 34000 7.6 1.961256
## 1567 No 21 Yes 10000 9.5 0.225150
## 1568 No 3 No 38000 13.6 2.914752
## 1569 No 11 Yes 10000 9.3 0.263190
## 1570 No 11 No 92000 11.5 2.031360
## 1571 No 6 No 234000 10.3 6.652152
## 1572 No 0 No 27000 15.4 0.943866
## 1573 No 6 No 16000 3.8 0.321024
## 1574 Yes 40 Yes 16000 3.9 0.165984
## 1575 No 1 No 29000 3.3 0.465102
## 1576 Yes 10 No 179000 4.9 4.780195
## 1577 No 0 No 18000 12.2 0.746640
## 1578 No 6 No 29000 3.9 0.195663
## 1579 No 15 No 80000 9.4 1.458880
## 1580 No 12 Yes 10000 14.4 0.555840
## 1581 Yes 7 No 28000 7.7 0.651112
## 1582 No 5 No 67000 10.2 1.790508
## 1583 No 4 No 68000 7.0 1.151920
## 1584 No 0 No 30000 11.9 1.317330
## 1585 No 0 No 28000 11.2 1.408064
## 1586 No 7 No 44000 6.5 0.703560
## 1587 No 1 No 19000 2.3 0.030590
## 1588 No 28 No 179000 10.9 5.424058
## 1589 No 20 Yes 12000 7.7 0.169092
## 1590 No 2 No 29000 14.3 2.625051
## 1591 Yes 30 No 166000 11.8 4.524828
## 1592 No 7 No 40000 10.9 0.265960
## 1593 No 39 Yes 18000 14.0 0.231840
## 1594 No 2 No 27000 16.2 0.358668
## 1595 No 20 Yes 17000 8.5 0.754290
## 1596 Yes 9 No 36000 18.3 0.783972
## 1597 No 4 Yes 9000 12.5 0.276750
## 1598 No 24 No 168000 4.9 3.473904
## 1599 No 8 No 37000 10.3 1.036592
## 1600 No 24 No 80000 6.9 1.611840
## 1601 No 0 No 18000 9.8 0.370440
## 1602 Yes 12 No 115000 7.5 3.165375
## 1603 No 10 No 28000 10.8 1.626912
## 1604 No 0 No 15000 3.8 0.081510
## 1605 No 11 No 59000 7.4 0.829540
## 1606 Yes 34 Yes 10000 7.4 0.339660
## 1607 No 5 No 65000 4.1 1.129960
## 1608 No 19 No 109000 3.4 0.633726
## 1609 No 10 No 99000 15.4 4.665276
## 1610 No 2 No 49000 18.8 3.712436
## 1611 No 15 No 27000 15.6 0.699192
## 1612 No 24 Yes 22000 8.5 0.983620
## 1613 No 11 No 35000 2.1 0.261660
## 1614 No 4 No 90000 7.6 0.444600
## 1615 No 10 No 25000 3.7 0.137825
## 1616 No 1 No 24000 1.4 0.211008
## 1617 Yes 8 No 81000 9.7 0.950697
## 1618 No 27 No 295000 8.2 3.870400
## 1619 No 10 No 24000 3.8 0.380304
## 1620 No 16 Yes 14000 9.2 0.382536
## 1621 No 5 No 26000 14.1 0.410592
## 1622 No 13 No 70000 26.1 8.678250
## 1623 No 11 No 58000 15.4 0.848540
## 1624 No 0 No 25000 2.4 0.350400
## 1625 No 7 No 58000 18.7 0.976140
## 1626 No 8 No 51000 9.5 3.037815
## 1627 No 10 No 68000 8.1 0.721548
## 1628 No 4 Yes 18000 7.7 0.450450
## 1629 No 1 No 24000 9.9 0.888624
## 1630 No 3 No 45000 0.5 0.032175
## 1631 No 4 No 112000 7.8 3.835104
## 1632 No 2 No 19000 8.3 0.343786
## 1633 No 5 No 23000 3.9 0.203619
## 1634 No 33 Yes 37000 3.0 0.279720
## 1635 Yes 0 No 29000 9.6 0.587424
## 1636 No 31 Yes 15000 0.7 0.083790
## 1637 No 23 No 93000 8.2 1.883622
## 1638 No 4 No 49000 1.1 0.281897
## 1639 Yes 6 No 84000 5.9 0.842520
## 1640 Yes 10 No 31000 14.0 1.575420
## 1641 Yes 5 No 36000 13.0 0.112320
## 1642 No 0 No 23000 10.6 1.070282
## 1643 No 2 No 18000 4.1 0.258300
## 1644 No 15 No 51000 9.7 1.063605
## 1645 No 10 No 47000 1.9 0.106267
## 1646 No 1 No 18000 10.6 0.501804
## 1647 No 19 No 93000 3.0 1.411740
## 1648 No 0 No 18000 12.2 0.854244
## 1649 No 1 No 16000 6.3 0.542304
## 1650 Yes 7 No 29000 7.4 0.551522
## 1651 No 0 No 14000 2.2 0.129668
## 1652 No 0 No 18000 4.4 0.316008
## 1653 Yes 6 No 31000 7.9 1.207357
## 1654 No 15 Yes 82000 5.7 0.261744
## 1655 No 4 No 33000 4.2 0.598752
## 1656 No 35 No 293000 6.3 5.020848
## 1657 No 1 No 76000 4.7 0.689396
## 1658 No 5 No 38000 7.4 1.017944
## 1659 No 0 No 13000 5.5 0.396110
## 1660 No 6 No 37000 3.6 0.166500
## 1661 No 11 No 51000 5.7 0.726750
## 1662 No 4 No 17000 6.2 0.219232
## 1663 No 23 No 84000 9.0 2.668680
## 1664 No 1 No 81000 7.0 1.355130
## 1665 No 5 No 22000 10.0 0.693000
## 1666 No 28 No 63000 10.8 3.932712
## 1667 No 14 Yes 13000 15.3 0.224757
## 1668 No 15 No 113000 7.2 1.879416
## 1669 No 31 No 86000 3.1 0.714488
## 1670 No 1 No 38000 4.7 0.267900
## 1671 Yes 0 No 18000 10.5 0.387450
## 1672 No 3 No 17000 12.3 0.414018
## 1673 Yes 1 No 54000 26.8 6.555816
## 1674 No 28 No 69000 15.1 1.927515
## 1675 Yes 8 No 20000 11.6 0.962800
## 1676 No 1 No 30000 3.0 0.498600
## 1677 No 21 Yes 35000 9.9 1.645875
## 1678 No 4 No 28000 3.2 0.117376
## 1679 No 0 No 55000 5.0 1.248500
## 1680 No 25 Yes 21000 3.3 0.353430
## 1681 No 14 No 54000 28.8 5.567616
## 1682 No 7 Yes 14000 23.0 2.337720
## 1683 No 3 No 210000 10.2 1.263780
## 1684 No 1 No 62000 3.2 0.347200
## 1685 No 5 No 16000 11.3 0.459232
## 1686 No 0 No 44000 13.8 3.017784
## 1687 No 19 No 90000 13.1 2.782440
## 1688 No 2 No 20000 3.2 0.172160
## 1689 Yes 15 No 67000 1.5 0.188940
## 1690 No 0 No 24000 2.9 0.400200
## 1691 No 18 Yes 12000 5.7 0.302328
## 1692 No 29 Yes 13000 17.0 0.711620
## 1693 No 0 No 14000 10.4 0.652288
## 1694 No 16 Yes 12000 2.6 0.056784
## OtherDebt LoanDefault MaritalStatus HouseholdSize NumberPets NumberCats
## 1 2.240091 Yes Unmarried 3 0 0
## 2 1.567980 Yes Unmarried 2 6 0
## 3 2.536380 No Married 3 3 2
## 4 1.117200 Yes Married 5 0 0
## 5 0.176341 No Married 4 0 0
## 6 4.931416 No Unmarried 1 11 1
## 7 0.961191 No Unmarried 1 2 0
## 8 8.017632 No Married 2 10 0
## 9 0.313664 No Unmarried 1 1 1
## 10 1.673784 No Unmarried 2 1 1
## 11 2.683888 No Unmarried 1 7 3
## 12 0.040869 No Married 5 6 0
## 13 0.793072 No Unmarried 1 1 0
## 14 4.690035 No Unmarried 1 0 0
## 15 0.389844 No Married 2 0 0
## 16 1.204257 No Married 2 9 3
## 17 14.441805 No Married 3 1 0
## 18 32.256648 No Married 2 0 0
## 19 0.913008 No Married 3 10 1
## 20 2.651792 No Unmarried 1 0 0
## 21 2.301285 No Married 2 0 0
## 22 1.408764 No Married 2 9 0
## 23 2.014980 No Unmarried 1 0 0
## 24 1.233863 Yes Unmarried 1 0 0
## 25 10.003890 No Married 4 5 0
## 26 9.047832 No Married 2 0 0
## 27 1.510704 Yes Married 6 1 0
## 28 2.667420 Yes Unmarried 1 12 0
## 29 0.866184 No Unmarried 1 2 0
## 30 4.236150 No Unmarried 1 7 0
## 31 5.168800 No Unmarried 1 9 2
## 32 2.768688 No Married 2 2 2
## 33 0.577080 No Married 4 1 0
## 34 1.243448 Yes Married 6 1 1
## 35 4.369167 No Married 3 1 0
## 36 2.846070 Yes Unmarried 2 3 0
## 37 15.465656 No Married 2 2 2
## 38 0.201120 No Unmarried 1 1 1
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## 1138 1.354644 Yes Unmarried 1 2 0
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## 1276 3.642276 No Unmarried 1 2 NA
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## 1283 0.696696 No Unmarried 3 3 2
## 1284 7.708320 No Unmarried 1 11 NA
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## 1299 9.508590 No Unmarried 1 1 0
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## 1305 0.223200 No Married 3 6 0
## 1306 5.657232 No Married 2 2 2
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## 1314 0.242730 No Unmarried 2 0 0
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## 1322 1.350216 No Unmarried 1 0 0
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## 1338 2.141898 No Unmarried 1 0 0
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## 1355 1.661198 No Married 2 0 0
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## 1368 3.714432 No Married 2 0 0
## 1369 8.843208 No Married 2 8 1
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## 1373 0.561680 No Married 2 6 1
## 1374 1.845480 No Unmarried 1 1 1
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## 1383 1.367470 No Unmarried 1 0 0
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## 1386 3.538854 No Married 5 2 2
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## 1392 1.158930 No Unmarried 1 6 3
## 1393 0.556470 No Married 3 0 0
## 1394 1.266300 No Married 4 4 0
## 1395 2.182180 No Married 2 0 0
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## 1398 3.929695 Yes Married 2 0 0
## 1399 2.577781 No Married 7 10 2
## 1400 0.741195 No Married 8 2 2
## 1401 1.734300 No Unmarried 1 0 0
## 1402 1.150372 No Unmarried 1 0 0
## 1403 7.344452 No Unmarried 1 6 0
## 1404 0.215280 No Unmarried 1 1 0
## 1405 7.488221 No Unmarried 1 1 0
## 1406 1.966572 No Unmarried 1 2 0
## 1407 1.270528 Yes Unmarried 1 0 0
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## 1409 1.118496 No Married 7 0 0
## 1410 2.166714 No Married 2 1 0
## 1411 1.379400 No Unmarried 1 1 0
## 1412 3.523650 No Married 2 0 0
## 1413 3.213720 No Married 4 2 0
## 1414 0.978432 Yes Unmarried 2 1 1
## 1415 6.322884 No Married 3 8 1
## 1416 0.561735 Yes Unmarried 1 0 0
## 1417 5.721192 No Married 2 0 0
## 1418 6.365268 Yes Unmarried 1 7 1
## 1419 0.582624 No Unmarried 2 4 0
## 1420 1.221075 No Unmarried 2 9 1
## 1421 0.376500 No Married 2 1 1
## 1422 0.618884 Yes Married 3 0 0
## 1423 1.324110 No Married 3 5 0
## 1424 3.499776 Yes Unmarried 1 9 3
## 1425 0.097160 No Unmarried 1 0 0
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## 1427 2.719083 Yes Unmarried 1 0 0
## 1428 7.344518 No Unmarried 2 0 0
## 1429 5.096925 No Unmarried 1 3 0
## 1430 0.375820 No Unmarried 1 8 2
## 1431 30.034550 Yes Married 2 1 1
## 1432 2.103464 No Unmarried 1 0 0
## 1433 0.645480 No Married 4 6 0
## 1434 1.435600 No Married 2 15 2
## 1435 28.029573 No Unmarried 1 5 1
## 1436 8.564864 No Married 2 3 1
## 1437 0.791252 No Married 2 0 0
## 1438 1.806624 No Married 2 4 0
## 1439 0.537980 No Unmarried 3 0 0
## 1440 2.995920 No Unmarried 1 0 0
## 1441 1.043464 No Married 4 0 0
## 1442 1.982200 No Unmarried 1 10 1
## 1443 5.601037 No Married 2 3 1
## 1444 3.691072 No Married 2 3 0
## 1445 1.126025 No Unmarried 1 1 1
## 1446 6.408535 Yes Unmarried 1 0 0
## 1447 2.144142 Yes Unmarried 2 5 0
## 1448 0.268128 No Married 2 2 2
## 1449 1.101100 No Married 2 2 2
## 1450 0.274512 No Married 5 2 0
## 1451 2.240280 No Married 2 0 0
## 1452 0.647241 No Married 4 6 0
## 1453 1.050456 No Married 3 1 1
## 1454 4.496616 No Unmarried 1 0 0
## 1455 7.669695 Yes Married 2 4 2
## 1456 3.546048 No Unmarried 1 0 0
## 1457 25.700200 No Unmarried 3 0 0
## 1458 1.964885 No Unmarried 3 2 1
## 1459 1.088802 No Unmarried 2 4 1
## 1460 2.280096 No Married 2 3 0
## 1461 0.690432 No Unmarried 1 1 0
## 1462 1.351818 No Married 3 0 0
## 1463 1.124040 No Married 3 2 0
## 1464 0.200720 Yes Unmarried 3 0 0
## 1465 9.002032 Yes Married 4 0 0
## 1466 1.224608 Yes Unmarried 1 0 0
## 1467 8.178352 Yes Unmarried 1 3 2
## 1468 14.981736 No Married 2 10 2
## 1469 10.765300 No Unmarried 1 1 1
## 1470 2.308614 No Married 2 5 2
## 1471 0.480384 No Unmarried 1 8 0
## 1472 2.102016 No Married 2 5 1
## 1473 1.707660 No Married 5 8 1
## 1474 1.388955 Yes Married 5 1 1
## 1475 3.673376 No Unmarried 2 6 1
## 1476 5.999940 No Married 3 1 0
## 1477 2.982096 No Married 4 1 0
## 1478 0.135531 No Unmarried 1 1 1
## 1479 3.644695 No Married 3 0 0
## 1480 0.678432 No Unmarried 1 3 0
## 1481 4.039464 No Unmarried 1 0 0
## 1482 2.143029 Yes Unmarried 1 0 0
## 1483 0.812820 No Unmarried 3 0 0
## 1484 0.902400 No Unmarried 1 0 0
## 1485 1.165560 Yes Married 4 10 2
## 1486 3.207870 No Unmarried 4 8 3
## 1487 1.841070 No Unmarried 1 0 0
## 1488 0.322320 No Unmarried 1 1 1
## 1489 4.303530 No Married 4 5 0
## 1490 1.038156 No Married 2 3 0
## 1491 5.883584 No Married 3 1 1
## 1492 4.479332 Yes Married 4 8 1
## 1493 1.074060 Yes Married 4 8 0
## 1494 0.838488 No Married 2 0 0
## 1495 1.272832 No Unmarried 1 2 2
## 1496 3.381840 No Married 4 0 0
## 1497 18.677288 No Unmarried 1 9 0
## 1498 2.148154 No Married 5 0 0
## 1499 5.753202 No Married 2 0 0
## 1500 1.036854 No Unmarried 1 2 0
## 1501 0.444528 No Married 2 8 0
## 1502 0.314412 No Unmarried 1 0 0
## 1503 0.886600 No Married 5 7 2
## 1504 4.390512 No Married 4 12 2
## 1505 4.057614 No Unmarried 1 0 0
## 1506 1.065000 No Unmarried 1 1 1
## 1507 1.343000 No Unmarried 1 2 2
## 1508 0.294780 No Married 4 3 0
## 1509 9.684262 No Unmarried 1 1 0
## 1510 1.076992 No Unmarried 1 7 0
## 1511 2.750649 No Married 4 18 0
## 1512 15.777344 No Married 2 1 0
## 1513 3.901664 No Unmarried 1 0 0
## 1514 0.414062 No Unmarried 1 2 2
## 1515 2.145000 No Unmarried 1 0 0
## 1516 2.195580 Yes Married 3 1 1
## 1517 1.870176 No Married 4 3 3
## 1518 2.170560 Yes Married 6 5 0
## 1519 0.197828 No Married 3 0 0
## 1520 1.083720 Yes Unmarried 1 0 0
## 1521 0.650430 No Unmarried 1 2 0
## 1522 14.458896 No Unmarried 1 0 0
## 1523 4.892400 No Married 4 1 1
## 1524 1.317255 No Married 6 0 0
## 1525 1.558935 Yes Unmarried 1 0 0
## 1526 1.614544 No Unmarried 1 0 0
## 1527 13.058636 No Married 5 8 0
## 1528 3.021550 No Unmarried 1 2 2
## 1529 1.082466 No Unmarried 1 1 1
## 1530 0.430962 No Unmarried 1 12 0
## 1531 0.671550 Yes Married 2 2 0
## 1532 2.685480 Yes Married 6 1 1
## 1533 0.550550 No Married 2 0 0
## 1534 1.050000 No Unmarried 1 3 1
## 1535 3.545520 No Unmarried 1 4 0
## 1536 0.336600 No Married 3 0 0
## 1537 1.785696 Yes Married 3 0 0
## 1538 6.801696 No Unmarried 1 9 1
## 1539 9.661400 No Unmarried 1 3 2
## 1540 0.406720 No Unmarried 1 0 0
## 1541 1.397336 No Married 5 5 1
## 1542 1.867320 No Unmarried 1 1 1
## 1543 3.274278 No Unmarried 1 3 3
## 1544 1.082640 No Married 2 6 0
## 1545 1.569132 Yes Unmarried 4 0 0
## 1546 6.854400 Yes Unmarried 1 1 1
## 1547 0.575016 No Married 3 1 1
## 1548 1.337600 Yes Unmarried 1 10 0
## 1549 1.578870 No Unmarried 1 0 0
## 1550 3.035760 Yes Unmarried 1 7 0
## 1551 0.533456 No Married 4 1 0
## 1552 4.610899 No Married 2 1 1
## 1553 0.957110 No Unmarried 1 12 0
## 1554 0.685542 No Married 4 11 1
## 1555 0.735033 No Married 2 1 1
## 1556 2.068128 No Unmarried 1 0 0
## 1557 1.024002 Yes Unmarried 1 1 0
## 1558 4.056000 Yes Married 2 3 1
## 1559 1.657611 No Married 5 0 0
## 1560 11.088000 No Unmarried 1 7 3
## 1561 4.482240 No Married 3 8 0
## 1562 0.498294 No Married 4 0 0
## 1563 3.636750 No Married 9 8 2
## 1564 2.766960 No Married 2 4 0
## 1565 4.092220 No Married 2 2 1
## 1566 0.622744 No Unmarried 1 2 2
## 1567 0.724850 No Married 4 0 0
## 1568 2.253248 Yes Unmarried 1 0 0
## 1569 0.666810 No Married 2 6 2
## 1570 8.548640 No Married 4 2 0
## 1571 17.449848 Yes Unmarried 2 0 0
## 1572 3.214134 Yes Married 4 2 2
## 1573 0.286976 No Unmarried 1 0 0
## 1574 0.458016 No Married 2 0 0
## 1575 0.491898 No Married 4 0 0
## 1576 3.990805 No Married 2 1 0
## 1577 1.449360 Yes Married 4 12 0
## 1578 0.935337 No Unmarried 1 1 1
## 1579 6.061120 No Married 2 1 1
## 1580 0.884160 No Married 2 2 2
## 1581 1.504888 No Unmarried 3 0 0
## 1582 5.043492 No Married 2 1 0
## 1583 3.608080 No Married 2 2 2
## 1584 2.252670 No Married 4 0 0
## 1585 1.727936 No Unmarried 2 11 0
## 1586 2.156440 No Married 3 2 0
## 1587 0.406410 No Unmarried 2 1 1
## 1588 14.086942 No Married 2 3 1
## 1589 0.754908 No Unmarried 1 6 0
## 1590 1.521949 No Married 2 0 0
## 1591 15.063172 No Unmarried 1 5 1
## 1592 4.094040 No Unmarried 1 4 1
## 1593 2.288160 No Married 2 11 0
## 1594 4.015332 No Married 2 1 1
## 1595 0.690710 No Unmarried 1 0 0
## 1596 5.804028 No Married 2 3 0
## 1597 0.848250 No Married 3 5 3
## 1598 4.758096 No Unmarried 1 9 0
## 1599 2.774408 No Unmarried 1 0 0
## 1600 3.908160 No Unmarried 1 5 0
## 1601 1.393560 Yes Married 6 0 0
## 1602 5.459625 No Unmarried 1 2 2
## 1603 1.397088 No Unmarried 2 7 0
## 1604 0.488490 Yes Married 4 0 0
## 1605 3.536460 No Married 2 1 1
## 1606 0.400340 No Unmarried 1 1 0
## 1607 1.535040 No Unmarried 1 0 0
## 1608 3.072274 No Married 2 0 0
## 1609 10.580724 No Unmarried 1 5 0
## 1610 5.499564 Yes Married 5 1 1
## 1611 3.512808 No Married 3 0 0
## 1612 0.886380 No Married 2 1 0
## 1613 0.473340 No Unmarried 2 5 1
## 1614 6.395400 No Unmarried 1 2 1
## 1615 0.787175 Yes Unmarried 1 3 0
## 1616 0.124992 No Unmarried 1 2 0
## 1617 6.906303 No Unmarried 1 0 0
## 1618 20.319600 No Unmarried 1 6 0
## 1619 0.531696 No Married 3 2 2
## 1620 0.905464 No Unmarried 1 8 0
## 1621 3.255408 No Unmarried 1 1 1
## 1622 9.591750 Yes Unmarried 1 3 0
## 1623 8.083460 No Unmarried 1 0 0
## 1624 0.249600 No Married 4 2 1
## 1625 9.869860 No Unmarried 1 6 1
## 1626 1.807185 No Married 4 1 0
## 1627 4.786452 No Unmarried 3 3 3
## 1628 0.935550 No Unmarried 2 5 0
## 1629 1.487376 No Unmarried 2 0 0
## 1630 0.192825 No Unmarried 1 1 0
## 1631 4.900896 No Married 2 3 0
## 1632 1.233214 Yes Unmarried 1 0 0
## 1633 0.693381 No Married 3 7 3
## 1634 0.830280 No Unmarried 2 5 0
## 1635 2.196576 No Unmarried 1 0 0
## 1636 0.021210 No Unmarried 1 6 0
## 1637 5.742378 No Unmarried 1 0 0
## 1638 0.257103 No Unmarried 1 2 2
## 1639 4.113480 No Unmarried 1 5 0
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## 1641 4.567680 No Married 6 1 0
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## CommuteTime PoliticalPartyMem Votes CreditCard CardTenure CardItemsMonthly
## 1 22 Yes Yes Mast 2 5
## 2 29 Yes No Visa 4 5
## 3 24 Yes No Visa 35 9
## 4 38 No No Visa 5 17
## 5 32 No No Disc 8 8
## 6 23 No No Visa 18 11
## 7 32 No No Othe 3 20
## 8 31 No Yes AMEX 25 6
## 9 25 Yes Yes Mast 26 12
## 10 29 Yes Yes Othe 2 11
## 11 17 No Yes Disc 16 11
## 12 28 No No Mast 6 14
## 13 25 Yes Yes Disc 1 12
## 14 16 No Yes Disc 25 10
## 15 32 Yes Yes Mast 33 12
## 16 14 Yes Yes Mast 40 9
## 17 19 Yes No Disc 19 14
## 18 29 No Yes Mast 36 10
## 19 30 Yes No Visa 10 17
## 20 23 No No Visa 10 1
## 21 34 No No AMEX 27 8
## 22 29 Yes Yes AMEX 26 8
## 23 25 Yes No AMEX 24 10
## 24 29 No No Othe 12 17
## 25 32 Yes Yes Disc 2 12
## 26 27 No No Visa 32 6
## 27 27 Yes No Disc 8 14
## 28 14 No Yes Disc 5 11
## 29 21 Yes No Visa 39 10
## 30 24 Yes Yes AMEX 10 11
## 31 25 No No Visa 21 11
## 32 26 Yes No Disc 38 9
## 33 15 Yes No Visa 2 11
## 34 23 Yes Yes Mast 7 10
## 35 23 Yes Yes Disc 13 11
## 36 26 Yes Yes Disc 13 13
## 37 21 No Yes AMEX 29 8
## 38 24 No No Disc 23 17
## 39 19 No Yes Disc 13 4
## 40 16 Yes No Disc 13 9
## 41 21 Yes No AMEX 22 11
## 42 15 No Yes Disc 7 11
## 43 34 No Yes Visa 14 5
## 44 23 No No Othe 11 11
## 45 22 No Yes AMEX 15 14
## 46 20 Yes No AMEX 3 10
## 47 22 Yes Yes Disc 9 14
## 48 39 Yes No Mast 27 9
## 49 25 No Yes Disc 3 9
## 50 29 Yes Yes Disc 30 12
## 51 34 No Yes Visa 2 12
## 52 20 No Yes Mast 19 4
## 53 24 No No Disc 17 12
## 54 26 Yes No Disc 12 8
## 55 18 No No Mast 9 12
## 56 23 No Yes AMEX 12 10
## 57 19 No Yes Disc 35 10
## 58 20 No Yes Mast 11 15
## 59 19 Yes No AMEX 30 4
## 60 19 Yes Yes Disc 4 16
## 61 26 Yes Yes Visa 16 7
## 62 30 No No Disc 6 12
## 63 22 No No Visa 19 11
## 64 19 No No AMEX 33 11
## 65 33 Yes No Disc 3 14
## 66 21 No Yes AMEX 21 9
## 67 21 No Yes Visa 12 10
## 68 32 No Yes Visa 9 10
## 69 29 No Yes Othe 3 16
## 70 18 No No Visa 37 7
## 71 30 No Yes AMEX 8 9
## 72 17 Yes Yes AMEX 36 11
## 73 27 Yes Yes AMEX 15 9
## 74 28 No Yes AMEX 14 6
## 75 25 No No Disc 39 9
## 76 26 No No Visa 16 16
## 77 30 Yes Yes AMEX 12 9
## 78 28 Yes Yes Visa 31 13
## 79 30 No Yes Mast 13 5
## 80 31 No Yes Disc 4 17
## 81 37 No No Disc 1 10
## 82 32 Yes No Othe 23 8
## 83 27 No Yes Disc 9 12
## 84 23 No Yes AMEX 40 9
## 85 20 No Yes Visa 13 6
## 86 31 No Yes Visa 38 13
## 87 23 No Yes AMEX 37 11
## 88 32 No No Disc 2 5
## 89 18 No No Disc 20 8
## 90 23 No Yes Disc 40 10
## 91 24 No No Mast 9 6
## 92 21 No Yes Disc 27 10
## 93 27 No Yes Mast 7 12
## 94 25 Yes No Visa 8 12
## 95 25 Yes Yes AMEX 39 8
## 96 29 No No Visa 14 18
## 97 27 No Yes Disc 35 15
## 98 24 No Yes Disc 1 8
## 99 26 Yes No Visa 37 11
## 100 25 No No Othe 28 11
## 101 19 No Yes Visa 8 12
## 102 12 Yes Yes Mast 26 11
## 103 21 No Yes Visa 30 10
## 104 28 Yes No Disc 1 7
## 105 20 No No AMEX 17 16
## 106 19 Yes No Mast 5 12
## 107 30 No No Othe 25 7
## 108 36 No Yes Disc 25 11
## 109 27 No No AMEX 29 7
## 110 22 Yes Yes Disc 19 11
## 111 19 Yes No AMEX 37 12
## 112 28 Yes Yes Disc 34 13
## 113 16 No Yes Disc 14 8
## 114 20 Yes Yes Disc 15 19
## 115 29 No Yes Mast 25 12
## 116 24 No No Mast 3 7
## 117 22 No Yes Visa 34 9
## 118 29 No No Visa 7 12
## 119 24 Yes No Mast 28 5
## 120 30 No Yes Visa 1 9
## 121 23 No No Visa 30 13
## 122 29 Yes Yes Visa 38 12
## 123 33 Yes Yes Visa 14 9
## 124 26 No No Mast 21 7
## 125 22 No Yes Disc 25 12
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## 128 16 Yes No Disc 11 7
## 129 27 Yes Yes Mast 7 8
## 130 30 No Yes Visa 1 7
## 131 27 Yes Yes Mast 10 7
## 132 22 No No Visa 29 14
## 133 18 No Yes Mast 12 9
## 134 25 No Yes Visa 5 8
## 135 31 No Yes Visa 17 12
## 136 21 No No Disc 25 10
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## 143 16 No Yes Disc 22 6
## 144 14 No No Visa 4 11
## 145 18 Yes Yes Visa 13 12
## 146 23 Yes No AMEX 11 12
## 147 27 No Yes Mast 6 9
## 148 22 Yes Yes AMEX 17 10
## 149 35 No No Visa 22 14
## 150 26 No Yes Disc 25 9
## 151 22 No Yes Disc 27 8
## 152 39 Yes Yes Mast 11 21
## 153 24 No Yes Visa 35 9
## 154 16 Yes Yes Mast 29 12
## 155 28 Yes Yes Disc 3 7
## 156 23 No No Disc 40 7
## 157 30 Yes Yes Mast 14 11
## 158 30 No Yes Disc 34 9
## 159 31 Yes Yes Mast 11 8
## 160 22 No No Visa 17 1
## 161 26 No No Disc 16 7
## 162 37 No Yes Mast 12 6
## 163 30 No No Disc 3 9
## 164 27 No No Visa 31 7
## 165 25 No No Visa 7 12
## 166 29 No Yes Disc 35 6
## 167 25 No Yes Mast 6 4
## 168 30 Yes No Visa 3 8
## 169 35 No No Mast 11 7
## 170 31 No No Mast 29 13
## 171 20 No Yes Visa 12 9
## 172 26 No No Disc 39 10
## 173 17 No Yes Visa 22 12
## 174 29 No No Visa 9 14
## 175 23 Yes Yes Visa 16 12
## 176 22 No Yes Visa 39 9
## 177 29 Yes No AMEX 32 11
## 178 23 No Yes Disc 10 8
## 179 35 No Yes Mast 32 8
## 180 30 No Yes Othe 5 8
## 181 20 No Yes AMEX 33 9
## 182 28 Yes Yes Othe 15 2
## 183 17 No No Mast 30 5
## 184 28 Yes Yes AMEX 17 16
## 185 21 Yes No AMEX 29 14
## 186 28 No No Disc 15 1
## 187 33 No Yes Disc 12 8
## 188 28 Yes Yes Othe 1 6
## 189 25 Yes Yes Disc 40 11
## 190 28 No Yes Mast 5 10
## 191 42 Yes No Visa 1 11
## 192 37 No Yes Disc 31 5
## 193 33 No No Mast 18 8
## 194 23 Yes Yes Disc 13 9
## 195 27 Yes No AMEX 9 5
## 196 14 Yes Yes Othe 35 7
## 197 13 No No Disc 7 9
## 198 26 No Yes Disc 23 11
## 199 22 No No Visa 30 6
## 200 27 No Yes Othe 11 4
## 201 31 Yes Yes Disc 3 7
## 202 35 Yes Yes AMEX 16 6
## 203 21 No Yes Disc 21 14
## 204 20 No No Disc 26 10
## 205 27 No Yes Disc 37 7
## 206 33 No No Visa 16 15
## 207 23 Yes Yes AMEX 22 15
## 208 25 No Yes Visa 8 10
## 209 23 No Yes Disc 13 12
## 210 14 Yes Yes AMEX 9 10
## 211 20 No No Disc 30 7
## 212 31 No Yes Disc 3 10
## 213 29 No No Disc 23 9
## 214 33 No Yes Disc 8 11
## 215 26 No Yes Othe 5 15
## 216 23 Yes Yes Disc 16 13
## 217 21 No No Othe 39 11
## 218 32 No No Disc 40 10
## 219 14 No No Disc 4 3
## 220 17 Yes No Mast 15 13
## 221 39 No Yes Mast 8 8
## 222 30 No Yes Visa 14 15
## 223 15 No Yes Visa 30 6
## 224 21 Yes Yes Mast 10 7
## 225 13 No Yes Disc 10 13
## 226 24 Yes No Othe 0 14
## 227 27 Yes No Mast 19 14
## 228 19 No Yes Disc 33 8
## 229 28 No Yes Disc 22 12
## 230 27 Yes Yes Mast 15 11
## 231 28 No No AMEX 7 10
## 232 34 Yes Yes Disc 1 7
## 233 24 No No Disc 34 11
## 234 22 No Yes Visa 6 11
## 235 17 Yes Yes AMEX 23 10
## 236 29 Yes No Disc 4 7
## 237 18 Yes No Visa 15 9
## 238 27 No No Visa 29 9
## 239 28 No No Disc 2 10
## 240 26 Yes Yes Mast 8 9
## 241 24 No No AMEX 29 16
## 242 28 No No Visa 36 7
## 243 17 Yes Yes Mast 0 14
## 244 28 Yes Yes Disc 7 7
## 245 29 Yes Yes Mast 10 8
## 246 16 No Yes Visa 8 7
## 247 33 No Yes AMEX 31 12
## 248 38 Yes No Mast 8 9
## 249 33 No No Othe 39 13
## 250 24 No No AMEX 2 7
## 251 19 No No Disc 40 12
## 252 21 No Yes Visa 8 11
## 253 23 No No Disc 3 13
## 254 22 No Yes AMEX 1 12
## 255 32 Yes No AMEX 11 9
## 256 27 Yes Yes Visa 37 6
## 257 30 Yes Yes AMEX 24 6
## 258 28 No No Visa 9 16
## 259 25 No Yes Disc 2 12
## 260 26 No Yes Mast 4 4
## 261 27 Yes Yes Mast 8 6
## 262 38 Yes Yes AMEX 17 16
## 263 33 Yes No Disc 3 12
## 264 29 No Yes Visa 29 10
## 265 32 Yes Yes Disc 5 13
## 266 28 No Yes AMEX 40 14
## 267 27 Yes Yes Visa 12 17
## 268 34 No No Othe 1 8
## 269 27 Yes Yes AMEX 16 11
## 270 21 No No Disc 17 6
## 271 27 Yes Yes Visa 18 8
## 272 17 No Yes AMEX 40 9
## 273 33 Yes Yes AMEX 16 13
## 274 26 No No Visa 10 10
## 275 19 No No Mast 6 11
## 276 30 No No Visa 17 8
## 277 32 No Yes AMEX 5 9
## 278 30 Yes No Visa 4 14
## 279 28 No No Othe 27 8
## 280 23 Yes No Disc 8 9
## 281 23 No No Mast 8 9
## 282 30 Yes Yes Visa 8 10
## 283 20 No No Disc 36 16
## 284 22 No No AMEX 11 11
## 285 25 Yes Yes Visa 13 13
## 286 26 Yes Yes Visa 1 9
## 287 26 No No Mast 20 11
## 288 20 Yes No Disc 7 15
## 289 13 Yes Yes Disc 5 10
## 290 21 Yes No Visa 12 10
## 291 21 Yes Yes AMEX 18 10
## 292 28 No Yes Mast 7 7
## 293 31 No Yes Disc 14 10
## 294 21 No Yes Visa 23 6
## 295 16 Yes Yes Disc 16 10
## 296 36 Yes No Mast 1 10
## 297 30 Yes Yes Visa 5 17
## 298 28 No No Mast 13 10
## 299 20 Yes Yes Visa 10 9
## 300 21 No Yes Visa 19 10
## 301 17 No No Disc 3 6
## 302 34 No Yes Mast 9 13
## 303 19 Yes Yes Visa 20 9
## 304 44 Yes Yes Disc 0 12
## 305 21 No No Mast 2 5
## 306 29 No Yes Disc 4 11
## 307 23 Yes Yes Visa 6 5
## 308 26 No No Mast 22 12
## 309 23 Yes Yes Visa 13 11
## 310 25 Yes No Mast 0 7
## 311 31 Yes Yes Disc 6 11
## 312 27 Yes Yes Mast 15 5
## 313 25 No Yes Disc 24 20
## 314 37 No Yes Mast 8 10
## 315 19 No Yes AMEX 23 13
## 316 24 Yes No Mast 1 19
## 317 28 Yes No Disc 15 8
## 318 24 Yes Yes Mast 30 9
## 319 25 Yes Yes Visa 7 18
## 320 18 No No Disc 3 13
## 321 22 No No Visa 5 6
## 322 30 Yes No AMEX 38 8
## 323 30 Yes No Visa 40 15
## 324 21 No Yes Mast 20 8
## 325 25 No No Othe 27 19
## 326 17 No No AMEX 10 12
## 327 24 Yes No AMEX 2 13
## 328 26 Yes No Visa 1 11
## 329 22 No No Visa 39 6
## 330 28 No Yes Visa 19 11
## 331 29 No Yes AMEX 11 14
## 332 13 No Yes Mast 38 8
## 333 31 No No Disc 10 10
## 334 20 Yes Yes Mast 15 10
## 335 28 Yes Yes Disc 8 11
## 336 25 Yes No Mast 28 8
## 337 29 Yes No Disc 5 7
## 338 17 No No Disc 8 11
## 339 28 Yes Yes Disc 13 13
## 340 33 Yes No Mast 2 9
## 341 23 No No Mast 33 8
## 342 35 No No Visa 38 9
## 343 29 No Yes Visa 31 12
## 344 29 No Yes AMEX 2 10
## 345 26 Yes Yes Disc 33 10
## 346 28 Yes Yes Disc 31 6
## 347 37 No Yes Mast 22 12
## 348 31 No Yes Mast 26 3
## 349 12 No No Disc 6 14
## 350 24 Yes Yes AMEX 36 13
## 351 14 No Yes Disc 31 10
## 352 22 No Yes Disc 10 12
## 353 25 No Yes AMEX 20 10
## 354 23 No No Mast 26 8
## 355 23 No No Mast 11 8
## 356 34 Yes Yes Visa 1 11
## 357 23 No No Disc 23 12
## 358 20 Yes Yes Visa 9 6
## 359 29 No No Othe 0 10
## 360 20 Yes Yes Visa 8 14
## 361 31 Yes Yes Visa 31 2
## 362 26 Yes No Visa 13 8
## 363 27 Yes No Disc 22 12
## 364 24 No No Mast 37 16
## 365 24 Yes No Disc 35 12
## 366 31 Yes No Disc 12 7
## 367 22 No Yes Mast 37 9
## 368 27 Yes Yes AMEX 21 7
## 369 28 No No Visa 13 14
## 370 22 Yes Yes AMEX 26 9
## 371 34 No Yes AMEX 20 9
## 372 37 Yes Yes Visa 2 10
## 373 22 Yes No AMEX 7 15
## 374 21 No Yes Mast 25 1
## 375 25 No Yes Visa 27 11
## 376 26 Yes Yes Mast 15 8
## 377 12 Yes Yes AMEX 8 8
## 378 23 Yes Yes Visa 40 10
## 379 23 No Yes Visa 2 10
## 380 18 No No Disc 2 6
## 381 29 No No Visa 32 16
## 382 30 No No Disc 12 5
## 383 23 No Yes Visa 10 12
## 384 27 No Yes Disc 25 13
## 385 27 No No Visa 27 11
## 386 27 No No Disc 35 13
## 387 22 Yes Yes Disc 13 10
## 388 25 Yes Yes Visa 3 15
## 389 33 No Yes Disc 7 11
## 390 33 No No Mast 40 8
## 391 31 Yes No Mast 27 14
## 392 26 No Yes Mast 3 12
## 393 19 No Yes Disc 27 9
## 394 24 No No Visa 9 8
## 395 23 No Yes Mast 18 12
## 396 23 Yes Yes Othe 7 13
## 397 31 No Yes Mast 25 7
## 398 22 No Yes AMEX 3 11
## 399 18 Yes Yes AMEX 36 9
## 400 24 No No Visa 23 9
## 401 21 No Yes Disc 11 13
## 402 28 No No Mast 26 9
## 403 26 Yes No AMEX 9 11
## 404 15 Yes No AMEX 2 10
## 405 43 No No AMEX 34 10
## 406 26 No Yes Othe 5 20
## 407 23 No No Disc 4 6
## 408 19 No Yes Visa 2 11
## 409 33 No No Disc 39 7
## 410 33 Yes No AMEX 7 11
## 411 34 No Yes AMEX 16 13
## 412 24 Yes No Mast 32 11
## 413 32 Yes Yes Visa 32 11
## 414 23 Yes No Disc 39 8
## 415 19 Yes Yes Mast 21 8
## 416 26 No No Othe 8 11
## 417 22 Yes No Disc 12 10
## 418 24 No Yes Disc 3 16
## 419 21 Yes No AMEX 19 8
## 420 23 No Yes AMEX 14 6
## 421 34 No Yes AMEX 11 9
## 422 32 No Yes Visa 9 11
## 423 31 No Yes Disc 39 13
## 424 22 No Yes Visa 30 11
## 425 35 Yes No Visa 18 5
## 426 24 No Yes Visa 27 12
## 427 31 Yes No Mast 8 8
## 428 23 No No Mast 25 13
## 429 24 Yes No Disc 7 8
## 430 28 No No AMEX 15 10
## 431 31 No No Mast 8 13
## 432 30 No Yes Mast 19 8
## 433 13 Yes Yes AMEX 2 11
## 434 24 Yes Yes AMEX 34 11
## 435 20 No Yes Disc 1 12
## 436 30 No Yes Visa 2 12
## 437 15 No No Mast 12 7
## 438 33 No Yes Disc 13 10
## 439 26 Yes No Visa 15 8
## 440 20 No No Disc 1 7
## 441 20 No Yes Visa 21 7
## 442 33 No No AMEX 4 7
## 443 11 No Yes AMEX 3 7
## 444 26 No Yes Disc 1 11
## 445 11 No No AMEX 14 15
## 446 23 No No Disc 9 15
## 447 30 Yes Yes AMEX 30 10
## 448 22 Yes Yes Mast 40 6
## 449 36 No Yes AMEX 8 10
## 450 24 Yes No Disc 39 13
## 451 15 Yes No AMEX 29 12
## 452 31 No Yes AMEX 2 8
## 453 27 No Yes Visa 22 6
## 454 28 Yes Yes Disc 18 11
## 455 25 No Yes Visa 13 9
## 456 21 No Yes Visa 5 9
## 457 27 Yes Yes AMEX 13 12
## 458 38 No Yes AMEX 35 6
## 459 21 No Yes Visa 11 11
## 460 29 No No Visa 3 4
## 461 18 Yes Yes Disc 1 8
## 462 21 No No Disc 25 9
## 463 24 No No Visa 2 13
## 464 21 Yes No AMEX 10 7
## 465 18 No No Disc 8 11
## 466 29 No No Mast 26 10
## 467 26 No No Visa 39 11
## 468 32 No Yes AMEX 40 15
## 469 32 No No Visa 34 7
## 470 16 No Yes Visa 23 17
## 471 19 No Yes Disc 16 11
## 472 26 Yes Yes Mast 32 11
## 473 27 No No Visa 10 6
## 474 19 Yes Yes AMEX 35 6
## 475 24 No Yes Disc 33 13
## 476 34 No Yes Visa 36 13
## 477 13 Yes No Disc 39 8
## 478 26 No No Disc 18 14
## 479 23 No Yes Disc 34 10
## 480 21 No Yes Mast 2 9
## 481 26 No Yes AMEX 3 9
## 482 15 Yes No Visa 11 10
## 483 34 No No AMEX 40 8
## 484 28 Yes No AMEX 4 9
## 485 26 No Yes AMEX 9 11
## 486 23 Yes No AMEX 9 10
## 487 27 No Yes Visa 4 7
## 488 21 No No Disc 2 10
## 489 21 Yes Yes Disc 39 11
## 490 38 Yes Yes Mast 21 11
## 491 26 Yes No Visa 17 16
## 492 27 Yes No AMEX 29 10
## 493 26 No Yes Othe 27 7
## 494 26 No Yes Visa 22 11
## 495 21 Yes No Mast 27 12
## 496 17 Yes Yes Visa 39 12
## 497 24 No No Visa 11 9
## 498 21 No No Visa 18 12
## 499 21 No Yes Disc 24 10
## 500 34 No Yes Mast 5 14
## 501 23 No No Visa 1 11
## 502 24 No No AMEX 6 10
## 503 17 No Yes Mast 19 7
## 504 26 No No Disc 27 10
## 505 33 No No Disc 6 5
## 506 29 No Yes AMEX 24 16
## 507 25 Yes Yes Visa 40 14
## 508 32 Yes Yes Mast 26 13
## 509 26 No Yes AMEX 31 14
## 510 25 No No AMEX 11 13
## 511 30 No Yes AMEX 37 11
## 512 20 No No Disc 22 12
## 513 26 No No Mast 4 9
## 514 21 Yes No AMEX 15 7
## 515 39 No Yes Disc 37 4
## 516 22 No Yes Mast 12 12
## 517 20 Yes Yes Disc 24 12
## 518 12 Yes Yes Mast 11 1
## 519 32 No No Disc 21 19
## 520 27 No Yes Visa 40 8
## 521 25 Yes No Mast 12 11
## 522 9 Yes Yes Disc 9 11
## 523 22 Yes No Visa 18 8
## 524 37 No No Visa 27 18
## 525 19 No Yes Visa 16 13
## 526 12 No Yes Disc 22 15
## 527 20 Yes No Disc 38 6
## 528 30 Yes No Mast 16 10
## 529 27 No No Mast 9 16
## 530 29 Yes Yes Mast 11 12
## 531 26 No No Disc 5 15
## 532 22 No No Mast 11 6
## 533 19 Yes No Disc 2 5
## 534 28 Yes Yes AMEX 19 14
## 535 38 Yes No Mast 39 13
## 536 23 No Yes AMEX 29 9
## 537 25 No Yes Othe 21 7
## 538 25 No No Visa 10 3
## 539 22 No No Disc 38 9
## 540 23 No Yes Mast 17 11
## 541 30 Yes No Visa 19 13
## 542 12 Yes Yes Visa 0 5
## 543 23 Yes Yes AMEX 18 14
## 544 19 Yes Yes AMEX 34 7
## 545 31 No Yes Visa 36 8
## 546 25 No No Disc 15 6
## 547 18 No Yes Othe 8 13
## 548 20 No Yes Disc 11 15
## 549 36 No Yes Visa 11 12
## 550 32 Yes Yes Disc 7 8
## 551 28 No Yes Disc 15 13
## 552 22 Yes No Mast 2 8
## 553 23 Yes No Visa 31 11
## 554 29 No No Mast 32 7
## 555 19 No No Visa 12 11
## 556 29 Yes Yes Mast 18 13
## 557 32 Yes Yes Visa 2 14
## 558 35 No No Mast 7 11
## 559 17 Yes No Disc 8 11
## 560 19 Yes Yes Mast 2 14
## 561 15 No No Disc 29 14
## 562 24 No No Visa 4 14
## 563 15 Yes No Mast 30 8
## 564 27 Yes Yes Mast 37 12
## 565 36 No No AMEX 5 7
## 566 23 No Yes Visa 13 7
## 567 22 Yes Yes AMEX 16 15
## 568 19 Yes No Disc 1 7
## 569 29 No Yes Disc 34 6
## 570 21 Yes Yes Disc 17 11
## 571 21 Yes No Disc 12 8
## 572 31 No No AMEX 7 10
## 573 27 No Yes Disc 11 9
## 574 28 No No Disc 31 11
## 575 22 No Yes AMEX 31 10
## 576 30 No Yes AMEX 16 12
## 577 20 No Yes Visa 16 7
## 578 17 No Yes Visa 18 7
## 579 24 Yes No Visa 1 11
## 580 31 No Yes Visa 16 18
## 581 32 No Yes Disc 35 6
## 582 30 No No Visa 37 8
## 583 28 No No Visa 36 13
## 584 24 No Yes Visa 1 11
## 585 35 No No Mast 1 5
## 586 27 No Yes AMEX 3 12
## 587 28 No Yes Mast 40 12
## 588 19 Yes Yes Visa 15 12
## 589 27 Yes No Disc 25 6
## 590 33 Yes Yes Mast 3 5
## 591 38 No No AMEX 3 7
## 592 25 Yes No Mast 30 11
## 593 22 No No Visa 11 16
## 594 18 Yes Yes Visa 6 8
## 595 22 No No Disc 25 8
## 596 22 Yes Yes AMEX 20 10
## 597 30 No Yes Visa 25 14
## 598 18 No Yes AMEX 11 14
## 599 25 No No Mast 11 15
## 600 29 No Yes AMEX 8 15
## 601 25 No Yes Disc 9 9
## 602 27 No No Disc 18 10
## 603 31 No Yes Disc 19 13
## 604 28 Yes No AMEX 0 14
## 605 23 Yes No Disc 39 9
## 606 40 No No Disc 6 13
## 607 38 Yes Yes Mast 0 9
## 608 31 No Yes Visa 38 13
## 609 24 No Yes Disc 16 12
## 610 26 No Yes Disc 12 8
## 611 25 Yes No Visa 2 10
## 612 30 No No Mast 40 10
## 613 25 Yes Yes Visa 32 9
## 614 23 Yes No Disc 20 11
## 615 29 No No Visa 1 10
## 616 25 No No Disc 7 12
## 617 22 Yes Yes Visa 17 12
## 618 27 Yes No Visa 7 12
## 619 24 No Yes AMEX 21 13
## 620 17 No No Mast 36 12
## 621 26 Yes Yes Visa 3 13
## 622 28 No Yes Disc 10 7
## 623 20 No Yes Visa 21 19
## 624 27 Yes No Visa 12 10
## 625 24 No No Othe 7 7
## 626 28 No No Mast 40 11
## 627 15 Yes No Visa 10 7
## 628 31 No No Visa 34 9
## 629 24 No No Disc 25 7
## 630 34 No No AMEX 5 8
## 631 21 No Yes Mast 38 3
## 632 32 No No Mast 28 18
## 633 29 No No Disc 22 8
## 634 31 Yes No Othe 27 10
## 635 14 No No Visa 2 10
## 636 16 No No Mast 15 4
## 637 27 Yes Yes Disc 32 15
## 638 32 No Yes Disc 17 5
## 639 20 Yes Yes Visa 8 11
## 640 25 No Yes Visa 26 8
## 641 17 No No Disc 17 9
## 642 11 Yes Yes Mast 4 10
## 643 21 Yes Yes Mast 12 4
## 644 26 Yes Yes Disc 10 6
## 645 27 No Yes AMEX 15 8
## 646 29 No No Mast 4 16
## 647 35 No No Visa 38 14
## 648 22 No Yes Disc 36 8
## 649 39 No Yes Mast 30 12
## 650 31 No No Mast 8 7
## 651 29 No Yes Visa 5 10
## 652 18 Yes No Disc 30 8
## 653 19 No No AMEX 33 15
## 654 28 Yes No Visa 2 12
## 655 17 No Yes Visa 0 4
## 656 27 No No Othe 32 16
## 657 31 No Yes AMEX 1 12
## 658 32 No Yes Disc 14 14
## 659 20 No Yes Disc 10 12
## 660 27 Yes Yes Disc 29 8
## 661 22 Yes No Mast 0 7
## 662 16 Yes Yes Visa 1 4
## 663 20 No Yes Disc 14 12
## 664 22 Yes No Mast 10 8
## 665 35 No No Mast 2 8
## 666 24 Yes No Mast 26 10
## 667 12 No No Mast 39 13
## 668 24 No No AMEX 25 9
## 669 18 No Yes Disc 30 14
## 670 23 Yes No Visa 2 6
## 671 22 No Yes AMEX 8 15
## 672 20 Yes No AMEX 5 6
## 673 29 Yes No Disc 18 13
## 674 29 No Yes Visa 29 13
## 675 25 No No Disc 12 10
## 676 38 Yes No Mast 7 15
## 677 29 No Yes AMEX 11 15
## 678 27 Yes Yes AMEX 6 9
## 679 25 No No AMEX 17 13
## 680 30 Yes No Disc 26 11
## 681 37 Yes Yes Mast 7 9
## 682 24 Yes Yes Visa 27 8
## 683 25 Yes Yes Disc 8 16
## 684 28 No No Visa 8 11
## 685 30 Yes No Disc 8 6
## 686 23 Yes Yes AMEX 39 8
## 687 30 Yes Yes Visa 24 9
## 688 19 No Yes Mast 3 11
## 689 28 No No Mast 0 14
## 690 35 Yes Yes AMEX 29 16
## 691 33 Yes Yes Visa 15 10
## 692 24 No No AMEX 13 12
## 693 32 Yes Yes AMEX 5 10
## 694 22 No No Visa 4 12
## 695 22 No No Visa 17 8
## 696 25 Yes Yes AMEX 21 11
## 697 25 Yes Yes AMEX 9 9
## 698 29 No No Disc 30 11
## 699 33 Yes Yes Visa 24 14
## 700 25 Yes Yes Disc 39 9
## 701 28 Yes No AMEX 12 10
## 702 31 No Yes Mast 6 11
## 703 19 No Yes Mast 1 6
## 704 40 Yes Yes Mast 1 13
## 705 34 No No Mast 19 14
## 706 18 Yes No Disc 27 14
## 707 28 Yes Yes Othe 20 14
## 708 16 Yes No AMEX 30 8
## 709 29 Yes Yes Visa 9 8
## 710 30 Yes No Visa 11 5
## 711 29 No Yes Othe 1 17
## 712 19 No No AMEX 8 9
## 713 21 No Yes Othe 2 8
## 714 18 Yes No Visa 15 8
## 715 26 No No Othe 14 14
## 716 18 No No Visa 38 12
## 717 29 No No Mast 24 5
## 718 33 No No Visa 33 4
## 719 33 Yes No AMEX 40 15
## 720 23 No No Disc 7 6
## 721 17 No Yes Disc 37 8
## 722 23 No Yes Visa 29 10
## 723 21 Yes Yes Mast 22 14
## 724 24 Yes No Visa 17 8
## 725 16 No Yes Visa 16 13
## 726 27 No No Mast 4 12
## 727 21 No Yes AMEX 13 12
## 728 30 Yes Yes Mast 30 7
## 729 28 No No Disc 16 15
## 730 24 Yes No AMEX 1 8
## 731 24 No No AMEX 12 4
## 732 19 Yes Yes Mast 5 11
## 733 25 No No Visa 8 11
## 734 23 No Yes Visa 33 4
## 735 26 Yes Yes Othe 0 6
## 736 26 No No Disc 32 9
## 737 20 No No Visa 13 14
## 738 29 Yes No Mast 23 9
## 739 22 No Yes Mast 15 7
## 740 16 No No Mast 25 7
## 741 21 No No Disc 17 11
## 742 18 No No AMEX 9 12
## 743 31 Yes Yes AMEX 22 14
## 744 27 No Yes Disc 10 5
## 745 26 Yes Yes Disc 3 10
## 746 21 Yes No Mast 12 8
## 747 30 No No Visa 4 13
## 748 20 No Yes Mast 21 19
## 749 27 Yes No Disc 7 10
## 750 21 No No Mast 34 19
## 751 26 No No Visa 38 10
## 752 29 No Yes AMEX 23 6
## 753 29 No Yes AMEX 4 10
## 754 26 Yes Yes Mast 6 8
## 755 20 No No Disc 36 8
## 756 30 No Yes Visa 23 12
## 757 20 No No Disc 14 9
## 758 31 No No Disc 31 14
## 759 21 No No AMEX 11 11
## 760 31 No Yes Mast 14 14
## 761 23 Yes No Visa 0 12
## 762 27 Yes No Mast 10 16
## 763 15 Yes Yes AMEX 38 18
## 764 29 No No Visa 2 13
## 765 9 Yes Yes Mast 23 16
## 766 21 No Yes Mast 7 20
## 767 16 No Yes AMEX 19 5
## 768 33 Yes Yes Visa 5 9
## 769 41 No No Disc 4 16
## 770 19 Yes Yes Visa 31 11
## 771 27 No No AMEX 3 8
## 772 21 No No AMEX 15 16
## 773 20 Yes No Disc 15 15
## 774 19 No Yes Mast 15 12
## 775 33 No Yes Visa 1 10
## 776 26 Yes Yes Othe 3 14
## 777 37 No Yes AMEX 20 6
## 778 21 No No AMEX 7 12
## 779 35 No No Disc 17 15
## 780 28 No Yes Disc 32 14
## 781 42 Yes Yes Disc 5 10
## 782 22 No Yes Disc 30 6
## 783 10 Yes No Mast 4 8
## 784 21 Yes No Mast 5 9
## 785 22 Yes Yes Disc 6 9
## 786 26 Yes No AMEX 3 9
## 787 31 No No Visa 1 10
## 788 30 No No AMEX 18 6
## 789 34 No Yes AMEX 14 13
## 790 20 Yes No Mast 8 7
## 791 28 No Yes Visa 29 11
## 792 16 Yes No AMEX 3 7
## 793 22 No No AMEX 10 12
## 794 20 Yes Yes Visa 22 5
## 795 19 Yes Yes Disc 14 8
## 796 34 No Yes Disc 33 10
## 797 22 Yes No Othe 38 4
## 798 23 Yes Yes AMEX 15 10
## 799 25 No Yes Mast 9 5
## 800 30 No Yes AMEX 28 9
## 801 26 No Yes Disc 24 7
## 802 25 No No Disc 39 9
## 803 37 No Yes AMEX 7 13
## 804 27 No Yes AMEX 12 13
## 805 25 Yes No Visa 15 7
## 806 22 No No AMEX 25 10
## 807 26 No Yes Disc 1 13
## 808 28 No Yes Disc 4 13
## 809 28 No Yes Disc 0 4
## 810 31 No Yes Visa 8 8
## 811 29 No Yes Visa 9 11
## 812 30 Yes Yes Mast 19 9
## 813 23 No No Disc 5 2
## 814 23 No No Mast 14 6
## 815 36 No No Disc 25 11
## 816 23 No Yes Disc 18 6
## 817 36 No No AMEX 24 10
## 818 31 Yes No AMEX 13 16
## 819 19 Yes No AMEX 31 13
## 820 28 Yes Yes Visa 22 7
## 821 22 Yes Yes Disc 38 7
## 822 17 No No Visa 33 11
## 823 30 Yes Yes Othe 18 8
## 824 16 Yes Yes AMEX 3 14
## 825 25 No Yes Visa 2 4
## 826 21 No No Mast 30 7
## 827 30 No Yes Visa 33 7
## 828 46 No Yes Mast 20 10
## 829 27 No No Visa 4 11
## 830 16 No No Mast 29 11
## 831 23 Yes No Visa 13 12
## 832 34 Yes No Mast 20 11
## 833 25 Yes Yes Mast 37 9
## 834 17 No Yes Mast 9 11
## 835 25 Yes Yes AMEX 2 11
## 836 34 No No Othe 19 9
## 837 33 No No AMEX 27 18
## 838 37 No Yes Othe 16 13
## 839 19 Yes Yes Visa 4 9
## 840 23 Yes No Mast 23 13
## 841 24 Yes Yes Visa 26 17
## 842 28 Yes No Visa 0 16
## 843 18 No No Disc 5 11
## 844 25 No Yes Visa 8 13
## 845 25 Yes Yes AMEX 4 14
## 846 22 No No Disc 9 11
## 847 29 Yes Yes Mast 16 13
## 848 21 No Yes Visa 12 5
## 849 22 No Yes Disc 15 11
## 850 31 Yes Yes Visa 1 5
## 851 29 No No Mast 38 11
## 852 27 No No AMEX 28 11
## 853 18 No No Visa 26 17
## 854 29 No No Disc 1 11
## 855 33 Yes Yes AMEX 1 16
## 856 21 Yes No Mast 4 9
## 857 20 Yes No AMEX 20 8
## 858 29 Yes Yes Disc 11 5
## 859 27 No No Mast 23 10
## 860 12 Yes No Mast 31 7
## 861 25 Yes Yes Disc 16 12
## 862 30 Yes No AMEX 6 10
## 863 24 Yes Yes AMEX 10 8
## 864 22 Yes No Mast 32 12
## 865 31 No No Visa 26 14
## 866 19 No No Disc 21 9
## 867 17 No No Mast 3 12
## 868 19 No Yes Disc 1 3
## 869 17 No No Visa 26 9
## 870 32 Yes Yes AMEX 21 9
## 871 33 Yes Yes Mast 10 9
## 872 21 Yes Yes Mast 12 11
## 873 24 No Yes Disc 11 15
## 874 34 No Yes Mast 5 15
## 875 26 No No Othe 3 10
## 876 28 No No AMEX 40 9
## 877 18 No Yes Disc 6 19
## 878 21 Yes Yes Mast 2 12
## 879 26 Yes Yes Mast 14 7
## 880 36 Yes Yes Mast 24 7
## 881 30 No No AMEX 17 14
## 882 18 Yes Yes Mast 8 7
## 883 27 Yes No AMEX 13 14
## 884 33 Yes Yes Disc 15 23
## 885 27 No Yes Disc 5 14
## 886 23 No No Mast 14 6
## 887 24 No Yes Disc 18 11
## 888 27 Yes Yes Mast 13 10
## 889 27 Yes Yes Mast 36 9
## 890 23 Yes No Visa 8 9
## 891 20 No No AMEX 18 7
## 892 19 Yes No Mast 10 11
## 893 16 No Yes Disc 18 12
## 894 31 No Yes AMEX 9 10
## 895 31 No Yes Disc 24 9
## 896 29 Yes Yes Mast 12 10
## 897 30 No Yes AMEX 8 9
## 898 34 No Yes AMEX 32 15
## 899 24 No No Disc 7 4
## 900 19 No Yes Disc 39 8
## 901 30 Yes Yes Disc 34 8
## 902 21 No No Disc 5 15
## 903 33 No No Disc 14 12
## 904 23 Yes No AMEX 15 11
## 905 18 Yes No Visa 11 7
## 906 22 No No AMEX 9 10
## 907 23 No Yes AMEX 15 7
## 908 20 Yes No Mast 16 9
## 909 24 No No Mast 38 5
## 910 22 No No Mast 31 7
## 911 26 Yes No Visa 0 7
## 912 28 Yes No Mast 2 13
## 913 27 No Yes Visa 22 10
## 914 28 Yes Yes AMEX 15 14
## 915 28 No No Othe 35 10
## 916 30 No No Disc 33 9
## 917 26 No Yes Disc 13 10
## 918 29 No No AMEX 8 8
## 919 22 Yes No Visa 21 15
## 920 21 Yes Yes Disc 15 6
## 921 18 No No Mast 19 13
## 922 26 No No Disc 8 13
## 923 27 No No Mast 14 6
## 924 24 No Yes Disc 29 10
## 925 27 No No Visa 7 7
## 926 28 No No Disc 15 7
## 927 29 No No Visa 30 10
## 928 26 Yes Yes AMEX 20 9
## 929 20 No Yes Disc 3 13
## 930 19 Yes Yes Disc 32 10
## 931 22 Yes Yes AMEX 13 9
## 932 33 No No Visa 18 12
## 933 23 No No Disc 31 12
## 934 25 No No Disc 33 10
## 935 19 Yes No Mast 28 12
## 936 23 Yes No Visa 12 8
## 937 31 No No Visa 13 7
## 938 35 No Yes Visa 38 11
## 939 26 Yes Yes Visa 1 9
## 940 22 Yes Yes Disc 14 9
## 941 34 Yes Yes Mast 10 12
## 942 28 No Yes Mast 22 8
## 943 19 Yes No Visa 36 5
## 944 29 Yes Yes Mast 1 9
## 945 40 No No Mast 32 6
## 946 23 Yes Yes Disc 9 12
## 947 26 No Yes Disc 4 8
## 948 34 Yes Yes Disc 10 5
## 949 21 No No Mast 25 11
## 950 28 No No AMEX 38 11
## 951 22 No No Mast 4 10
## 952 32 No Yes Disc 5 15
## 953 21 Yes No Mast 6 17
## 954 25 No No Othe 18 14
## 955 29 No Yes AMEX 10 11
## 956 25 Yes No Disc 18 15
## 957 24 Yes Yes Mast 21 11
## 958 13 Yes No Disc 5 7
## 959 26 Yes Yes Mast 15 12
## 960 34 Yes No Disc 2 8
## 961 28 No No AMEX 28 14
## 962 #NULL! Yes Yes Disc 4 12
## 963 25 Yes No Disc 28 8
## 964 25 No Yes Visa 4 7
## 965 21 No No Visa 37 2
## 966 17 No No AMEX 5 7
## 967 31 No Yes Mast 29 13
## 968 26 Yes No Disc 17 12
## 969 19 No Yes Disc 4 18
## 970 35 No Yes Disc 24 13
## 971 22 No No Visa 31 10
## 972 24 No No AMEX 8 5
## 973 23 No Yes Visa 32 8
## 974 20 Yes Yes Othe 1 12
## 975 32 No No AMEX 15 12
## 976 23 No Yes Visa 29 13
## 977 28 Yes Yes AMEX 9 5
## 978 26 No No Visa 2 8
## 979 30 No No Visa 12 10
## 980 24 Yes Yes Visa 27 12
## 981 27 Yes Yes Disc 31 10
## 982 30 No No Mast 22 9
## 983 40 No No Visa 11 16
## 984 31 Yes No Othe 4 8
## 985 26 Yes Yes Othe 5 15
## 986 34 No Yes Mast 19 10
## 987 24 No No Disc 12 7
## 988 25 No No Mast 5 10
## 989 22 No Yes Othe 2 10
## 990 13 Yes No Visa 33 6
## 991 24 No Yes Mast 37 12
## 992 24 No Yes AMEX 40 12
## 993 23 No No Mast 29 3
## 994 17 No Yes AMEX 24 8
## 995 31 No Yes Mast 1 8
## 996 21 Yes No Mast 26 9
## 997 19 Yes No Disc 28 14
## 998 17 Yes Yes Mast 25 10
## 999 26 No Yes Visa 1 12
## 1000 25 No Yes Visa 10 8
## 1001 22 Yes No Othe 11 12
## 1002 18 Yes No Mast 15 6
## 1003 43 Yes No AMEX 12 9
## 1004 25 No Yes Othe 2 16
## 1005 27 Yes No Disc 12 14
## 1006 28 No Yes Disc 23 18
## 1007 22 No Yes Disc 2 9
## 1008 33 No No Mast 10 13
## 1009 27 Yes No Othe 8 13
## 1010 38 Yes No Mast 1 13
## 1011 37 No Yes AMEX 6 3
## 1012 21 No Yes Disc 13 7
## 1013 19 No Yes Disc 37 11
## 1014 32 No Yes Visa 25 12
## 1015 28 No No Mast 11 17
## 1016 19 Yes Yes AMEX 26 12
## 1017 27 No Yes Visa 33 8
## 1018 25 Yes Yes Visa 35 16
## 1019 30 No Yes Visa 39 8
## 1020 36 Yes Yes Mast 1 6
## 1021 23 No Yes AMEX 27 11
## 1022 25 No Yes Visa 32 10
## 1023 32 Yes Yes Mast 1 9
## 1024 27 No Yes Mast 13 7
## 1025 23 No Yes Disc 14 11
## 1026 26 No Yes Mast 27 5
## 1027 24 No No Visa 14 13
## 1028 27 No No Mast 0 13
## 1029 29 Yes No Disc 37 11
## 1030 30 Yes Yes Disc 28 7
## 1031 16 No No Disc 26 8
## 1032 22 No No Visa 0 7
## 1033 23 Yes No Mast 15 18
## 1034 16 Yes No Visa 7 7
## 1035 38 Yes No AMEX 31 8
## 1036 27 No No Mast 33 13
## 1037 18 No Yes Visa 13 8
## 1038 40 Yes Yes Disc 30 2
## 1039 17 Yes Yes AMEX 8 8
## 1040 21 Yes No Visa 5 9
## 1041 19 No Yes AMEX 12 9
## 1042 33 No No Visa 33 8
## 1043 24 No Yes Visa 26 4
## 1044 25 Yes No Visa 5 12
## 1045 19 No No Mast 2 13
## 1046 26 Yes Yes Disc 28 8
## 1047 39 Yes No Othe 40 11
## 1048 24 Yes No AMEX 3 11
## 1049 22 Yes Yes Mast 14 9
## 1050 28 No No Othe 21 8
## 1051 25 Yes Yes AMEX 1 14
## 1052 31 No Yes AMEX 6 8
## 1053 43 Yes Yes Mast 3 16
## 1054 22 Yes No Othe 1 9
## 1055 30 No Yes Othe 18 18
## 1056 18 Yes No AMEX 18 9
## 1057 31 Yes Yes Visa 27 6
## 1058 18 No Yes AMEX 3 9
## 1059 21 No No Disc 2 8
## 1060 20 Yes No Disc 21 8
## 1061 29 Yes No Disc 4 8
## 1062 35 No Yes Disc 28 11
## 1063 31 Yes Yes Disc 3 8
## 1064 30 Yes Yes Visa 12 6
## 1065 34 Yes Yes AMEX 34 12
## 1066 19 Yes Yes AMEX 27 18
## 1067 29 No No Disc 22 6
## 1068 16 No No Disc 15 14
## 1069 30 No Yes Disc 6 10
## 1070 28 No Yes AMEX 11 4
## 1071 32 No No Visa 5 10
## 1072 29 No Yes Disc 11 9
## 1073 25 Yes No AMEX 6 15
## 1074 29 No No Disc 4 18
## 1075 19 No No Visa 4 6
## 1076 20 No No Visa 11 7
## 1077 21 Yes Yes Disc 8 7
## 1078 18 No Yes Visa 28 15
## 1079 27 No Yes Disc 1 9
## 1080 19 No No Othe 34 14
## 1081 34 No No Visa 2 5
## 1082 27 Yes Yes Mast 7 12
## 1083 35 Yes No Mast 4 15
## 1084 41 No Yes Disc 8 8
## 1085 28 No No Visa 16 10
## 1086 47 No Yes AMEX 8 4
## 1087 20 No No AMEX 23 7
## 1088 25 Yes Yes Visa 23 6
## 1089 29 No Yes Mast 13 7
## 1090 37 No Yes Mast 21 10
## 1091 24 Yes Yes AMEX 14 19
## 1092 20 Yes Yes Mast 7 2
## 1093 25 Yes Yes Mast 10 11
## 1094 31 Yes Yes Visa 40 10
## 1095 25 Yes No Disc 38 6
## 1096 19 Yes Yes Visa 26 9
## 1097 17 Yes Yes Disc 1 8
## 1098 22 Yes Yes AMEX 18 11
## 1099 24 Yes Yes Visa 20 7
## 1100 17 Yes Yes Othe 2 11
## 1101 27 Yes Yes Disc 27 8
## 1102 15 No No Visa 18 3
## 1103 32 Yes Yes Disc 37 13
## 1104 24 Yes Yes Disc 39 4
## 1105 21 No No Disc 1 10
## 1106 31 No No Mast 36 6
## 1107 20 Yes Yes AMEX 2 9
## 1108 22 No No Mast 20 9
## 1109 20 No No Disc 22 10
## 1110 40 Yes Yes Visa 2 9
## 1111 26 No No Mast 39 7
## 1112 30 Yes No Disc 27 8
## 1113 24 No No Mast 26 8
## 1114 25 No No AMEX 30 7
## 1115 20 No Yes Othe 32 6
## 1116 24 Yes No AMEX 26 8
## 1117 33 No Yes Disc 0 7
## 1118 20 No Yes Disc 26 11
## 1119 22 Yes Yes Visa 3 6
## 1120 20 Yes No Mast 27 3
## 1121 22 No No Mast 25 10
## 1122 25 Yes Yes Mast 7 8
## 1123 26 No Yes Visa 1 6
## 1124 22 Yes Yes Disc 24 7
## 1125 21 No No Mast 26 8
## 1126 21 No Yes Mast 3 19
## 1127 18 Yes No AMEX 6 12
## 1128 26 No Yes AMEX 14 16
## 1129 15 No No Visa 12 11
## 1130 13 No Yes Disc 34 6
## 1131 24 Yes Yes Visa 14 7
## 1132 17 No Yes Disc 1 9
## 1133 27 No No Mast 7 12
## 1134 31 No No Visa 4 12
## 1135 19 No Yes Mast 16 8
## 1136 20 Yes No AMEX 13 9
## 1137 46 No No Mast 8 9
## 1138 25 Yes No Disc 1 7
## 1139 20 No No Visa 1 9
## 1140 25 No No Disc 6 5
## 1141 29 No Yes Mast 19 5
## 1142 29 Yes Yes Mast 16 14
## 1143 25 Yes No Visa 37 10
## 1144 27 No Yes Mast 29 6
## 1145 32 No Yes AMEX 34 5
## 1146 30 No No Mast 29 13
## 1147 31 No Yes Mast 5 9
## 1148 26 Yes Yes Disc 38 10
## 1149 14 No Yes Mast 3 11
## 1150 28 Yes No Mast 29 13
## 1151 19 Yes No Mast 16 14
## 1152 24 Yes Yes Disc 16 8
## 1153 21 No No AMEX 40 11
## 1154 30 Yes Yes Visa 6 9
## 1155 22 Yes No Disc 32 9
## 1156 18 Yes Yes Visa 1 15
## 1157 29 No No Visa 22 17
## 1158 29 No No AMEX 13 13
## 1159 26 No No AMEX 6 14
## 1160 24 No Yes Disc 17 12
## 1161 24 No Yes Mast 20 12
## 1162 19 Yes Yes AMEX 1 9
## 1163 15 No No Disc 16 13
## 1164 27 No Yes Mast 5 9
## 1165 25 Yes No Disc 4 10
## 1166 25 Yes Yes Mast 13 12
## 1167 21 No No Disc 4 11
## 1168 21 No No AMEX 11 8
## 1169 25 Yes No Disc 35 11
## 1170 17 Yes Yes Mast 24 9
## 1171 25 No Yes Mast 1 6
## 1172 28 Yes No Othe 39 6
## 1173 25 No Yes Disc 14 7
## 1174 30 No Yes Disc 3 6
## 1175 26 No Yes Disc 9 12
## 1176 20 Yes No Visa 39 8
## 1177 27 Yes Yes AMEX 0 11
## 1178 20 No Yes AMEX 22 11
## 1179 19 Yes No AMEX 23 15
## 1180 22 Yes No Disc 30 14
## 1181 20 No Yes Disc 6 9
## 1182 23 No Yes Othe 27 12
## 1183 27 No Yes Disc 5 15
## 1184 18 Yes Yes Disc 10 8
## 1185 15 No No Disc 3 5
## 1186 13 No Yes AMEX 30 10
## 1187 31 No Yes AMEX 10 9
## 1188 25 Yes Yes Visa 1 11
## 1189 33 Yes Yes Disc 23 9
## 1190 23 No No Mast 17 4
## 1191 32 No Yes Visa 0 13
## 1192 27 No Yes Mast 3 8
## 1193 19 Yes Yes Disc 25 11
## 1194 31 No Yes AMEX 22 12
## 1195 25 No Yes Mast 14 12
## 1196 29 No Yes Visa 23 15
## 1197 21 No Yes Disc 12 7
## 1198 18 No Yes Mast 8 17
## 1199 18 Yes No Disc 5 15
## 1200 26 No No Visa 1 5
## 1201 21 No Yes Visa 27 11
## 1202 25 Yes No Disc 39 11
## 1203 30 No Yes Disc 30 8
## 1204 29 No No Disc 35 16
## 1205 17 Yes No Disc 7 12
## 1206 25 No Yes Disc 33 14
## 1207 30 Yes No Visa 12 7
## 1208 27 No Yes AMEX 7 13
## 1209 23 Yes No AMEX 23 6
## 1210 19 Yes No Visa 4 10
## 1211 19 Yes Yes Mast 8 5
## 1212 28 No No Disc 26 9
## 1213 23 Yes Yes Mast 18 17
## 1214 25 Yes No AMEX 32 8
## 1215 18 No Yes Visa 3 17
## 1216 29 No Yes Visa 1 19
## 1217 22 No Yes Disc 1 14
## 1218 25 No No Mast 38 5
## 1219 22 Yes No Disc 25 5
## 1220 26 No Yes Mast 3 13
## 1221 21 No No Mast 13 12
## 1222 28 Yes No Visa 5 7
## 1223 33 Yes Yes AMEX 18 8
## 1224 26 No No Disc 34 11
## 1225 23 Yes Yes AMEX 1 7
## 1226 28 No No Mast 19 14
## 1227 23 Yes No Disc 8 8
## 1228 22 Yes Yes Visa 18 10
## 1229 22 No No AMEX 4 14
## 1230 25 No No Mast 24 8
## 1231 31 No No Mast 30 12
## 1232 25 Yes Yes Visa 3 12
## 1233 32 Yes Yes Mast 26 10
## 1234 13 Yes Yes Disc 4 13
## 1235 35 No Yes Visa 3 10
## 1236 25 Yes No AMEX 5 14
## 1237 38 No Yes Mast 28 14
## 1238 30 Yes No AMEX 35 12
## 1239 23 Yes No Visa 10 7
## 1240 30 No No Visa 39 14
## 1241 27 No No AMEX 18 8
## 1242 23 No No Mast 11 11
## 1243 25 Yes Yes AMEX 39 11
## 1244 30 Yes Yes Disc 12 10
## 1245 24 No Yes Mast 35 10
## 1246 24 No No Disc 29 12
## 1247 24 Yes Yes Mast 15 6
## 1248 33 No No Othe 1 7
## 1249 22 No No Disc 39 9
## 1250 33 Yes Yes Disc 28 12
## 1251 27 No No AMEX 15 8
## 1252 21 No No Mast 8 12
## 1253 18 No No Visa 11 11
## 1254 33 No No Mast 28 5
## 1255 22 Yes Yes AMEX 39 11
## 1256 19 No Yes Mast 16 12
## 1257 32 Yes Yes Disc 37 8
## 1258 33 No Yes AMEX 8 6
## 1259 27 No Yes Disc 23 6
## 1260 27 No Yes AMEX 40 6
## 1261 26 No No Othe 3 13
## 1262 23 No No Disc 31 2
## 1263 31 No No AMEX 24 5
## 1264 19 Yes No Mast 29 5
## 1265 29 Yes Yes Mast 5 7
## 1266 22 Yes Yes AMEX 6 16
## 1267 19 No No Mast 22 11
## 1268 25 Yes Yes Othe 7 11
## 1269 22 No No AMEX 24 9
## 1270 25 No No AMEX 11 9
## 1271 19 No Yes Visa 11 10
## 1272 17 No No Othe 1 12
## 1273 21 No Yes Visa 16 14
## 1274 32 No No Mast 7 4
## 1275 26 Yes No Visa 13 15
## 1276 16 Yes Yes Visa 2 10
## 1277 26 No No Disc 10 8
## 1278 33 Yes No Visa 0 11
## 1279 21 No Yes Visa 4 8
## 1280 32 No Yes AMEX 4 8
## 1281 32 No Yes Disc 6 12
## 1282 27 No No Mast 16 6
## 1283 32 No No AMEX 0 10
## 1284 21 Yes No Disc 24 12
## 1285 32 No No Mast 24 10
## 1286 27 Yes Yes Disc 10 5
## 1287 21 Yes Yes Visa 3 11
## 1288 39 Yes Yes Othe 11 10
## 1289 23 Yes Yes Disc 6 11
## 1290 26 Yes Yes Visa 7 14
## 1291 39 No Yes Mast 17 16
## 1292 18 No No AMEX 14 14
## 1293 19 Yes No Disc 39 16
## 1294 40 No No Visa 10 10
## 1295 27 No No AMEX 12 10
## 1296 32 No Yes Disc 10 13
## 1297 25 Yes No Mast 6 18
## 1298 31 Yes Yes Disc 11 11
## 1299 23 No Yes Disc 36 19
## 1300 32 No No Mast 8 10
## 1301 29 Yes No Visa 0 12
## 1302 29 Yes Yes Mast 5 11
## 1303 21 No Yes Disc 11 14
## 1304 30 No Yes Mast 5 10
## 1305 20 No No Visa 1 12
## 1306 25 Yes No Visa 4 15
## 1307 29 Yes Yes Mast 1 11
## 1308 23 Yes Yes AMEX 25 11
## 1309 29 Yes Yes Disc 3 7
## 1310 19 No Yes Disc 36 8
## 1311 27 No Yes Disc 6 16
## 1312 28 No Yes Visa 39 7
## 1313 13 Yes Yes Visa 6 13
## 1314 20 Yes No AMEX 5 11
## 1315 23 No Yes Visa 37 5
## 1316 37 No Yes Visa 11 11
## 1317 20 Yes Yes Disc 0 16
## 1318 16 Yes Yes Visa 31 4
## 1319 28 No Yes AMEX 12 7
## 1320 17 Yes Yes Visa 28 15
## 1321 22 No Yes Mast 15 7
## 1322 21 Yes No Visa 35 10
## 1323 32 Yes No Mast 3 11
## 1324 41 No No Visa 38 5
## 1325 35 No No AMEX 3 6
## 1326 27 No Yes AMEX 4 14
## 1327 33 Yes No Disc 3 9
## 1328 23 Yes Yes Disc 14 14
## 1329 40 Yes Yes Visa 20 5
## 1330 23 No No AMEX 18 11
## 1331 22 No No AMEX 21 10
## 1332 32 No No Visa 14 11
## 1333 24 Yes Yes AMEX 28 13
## 1334 33 Yes Yes Visa 24 14
## 1335 23 Yes Yes Disc 16 8
## 1336 31 No No AMEX 25 9
## 1337 22 No No AMEX 2 6
## 1338 28 No No AMEX 16 13
## 1339 19 Yes Yes Disc 2 6
## 1340 20 No No Visa 8 7
## 1341 27 Yes Yes Disc 4 11
## 1342 28 Yes Yes Visa 4 5
## 1343 28 No Yes Mast 10 14
## 1344 20 No Yes Visa 11 12
## 1345 25 No No Othe 22 12
## 1346 21 No No Visa 3 9
## 1347 25 Yes No Visa 33 10
## 1348 30 Yes No Disc 19 9
## 1349 19 Yes No AMEX 3 10
## 1350 18 Yes Yes Visa 8 8
## 1351 29 Yes Yes Mast 7 10
## 1352 26 Yes Yes AMEX 6 10
## 1353 17 No No Mast 15 9
## 1354 15 No No AMEX 22 16
## 1355 31 No Yes AMEX 13 6
## 1356 22 No No Othe 3 14
## 1357 25 Yes No Visa 2 9
## 1358 14 No No Visa 3 9
## 1359 15 No No Mast 10 12
## 1360 39 No Yes Othe 35 8
## 1361 34 Yes Yes AMEX 1 10
## 1362 33 No Yes Visa 6 11
## 1363 21 No Yes Visa 39 8
## 1364 28 No No AMEX 5 10
## 1365 22 Yes No Mast 33 12
## 1366 25 No No Disc 4 5
## 1367 28 Yes Yes Disc 3 9
## 1368 33 Yes Yes Disc 40 12
## 1369 21 Yes No Disc 35 9
## 1370 29 Yes Yes Mast 3 12
## 1371 31 No Yes Visa 8 14
## 1372 27 No No Mast 29 13
## 1373 25 No Yes AMEX 20 10
## 1374 25 No No Visa 13 13
## 1375 26 Yes No Disc 37 6
## 1376 29 Yes No Disc 5 9
## 1377 20 No Yes Disc 5 10
## 1378 30 Yes Yes AMEX 4 10
## 1379 22 No No Mast 9 6
## 1380 36 No No Visa 23 9
## 1381 26 Yes Yes AMEX 13 8
## 1382 31 Yes No Mast 20 10
## 1383 19 Yes Yes Visa 37 12
## 1384 23 No No Visa 2 16
## 1385 21 No Yes Disc 14 14
## 1386 24 No No Mast 34 10
## 1387 27 No Yes AMEX 7 8
## 1388 18 Yes No Visa 29 6
## 1389 25 Yes Yes Othe 40 11
## 1390 26 No No Mast 15 16
## 1391 32 No Yes Visa 32 4
## 1392 16 No No AMEX 30 11
## 1393 27 No No Disc 11 12
## 1394 23 No Yes Visa 23 12
## 1395 23 Yes No Mast 19 13
## 1396 41 No No Mast 17 8
## 1397 25 No No Visa 21 11
## 1398 23 No Yes Mast 10 12
## 1399 27 Yes No Visa 3 13
## 1400 22 Yes Yes Visa 4 13
## 1401 20 Yes Yes AMEX 15 10
## 1402 27 No No Mast 17 7
## 1403 21 Yes Yes Mast 2 9
## 1404 28 No No Disc 37 13
## 1405 31 No No Mast 16 10
## 1406 15 No No Mast 16 9
## 1407 20 No Yes AMEX 11 12
## 1408 36 Yes Yes Visa 1 13
## 1409 26 No Yes Disc 0 11
## 1410 17 No No AMEX 13 10
## 1411 34 No No Mast 39 6
## 1412 26 No No Visa 18 11
## 1413 21 No Yes Visa 9 11
## 1414 19 No No Mast 0 9
## 1415 16 Yes Yes AMEX 1 6
## 1416 31 No No Mast 1 6
## 1417 27 Yes Yes Disc 7 1
## 1418 30 Yes Yes AMEX 6 7
## 1419 21 No Yes Disc 2 10
## 1420 21 No No AMEX 17 9
## 1421 28 Yes No Disc 6 16
## 1422 27 Yes Yes Visa 11 12
## 1423 22 No Yes Disc 21 10
## 1424 22 No Yes Visa 22 7
## 1425 17 Yes Yes AMEX 21 9
## 1426 23 Yes Yes Mast 35 9
## 1427 21 No Yes Disc 15 9
## 1428 25 No No Disc 29 11
## 1429 14 Yes Yes AMEX 21 14
## 1430 18 Yes Yes Disc 7 7
## 1431 23 Yes Yes AMEX 20 5
## 1432 24 No Yes Disc 17 6
## 1433 25 No No Mast 31 10
## 1434 23 No No Mast 27 21
## 1435 31 No No Mast 40 11
## 1436 33 Yes Yes Visa 24 10
## 1437 29 Yes Yes Disc 20 13
## 1438 30 No No Mast 20 11
## 1439 28 No No AMEX 4 6
## 1440 36 Yes Yes Visa 12 16
## 1441 29 No No AMEX 12 12
## 1442 25 No No Mast 39 9
## 1443 26 No Yes Visa 9 9
## 1444 26 No No Disc 28 4
## 1445 23 No No Mast 40 9
## 1446 28 No No Disc 4 12
## 1447 33 No No Disc 9 10
## 1448 27 No Yes Disc 40 14
## 1449 33 No Yes Mast 26 14
## 1450 29 No No Visa 6 12
## 1451 30 Yes Yes Disc 40 9
## 1452 35 No Yes Visa 1 13
## 1453 25 No No Mast 26 9
## 1454 22 No No Disc 30 9
## 1455 15 Yes No Disc 7 10
## 1456 28 No Yes Visa 20 16
## 1457 23 No Yes Disc 30 8
## 1458 31 No Yes Mast 10 11
## 1459 25 No No AMEX 1 17
## 1460 30 No No Visa 30 7
## 1461 27 Yes Yes Disc 20 6
## 1462 22 No No Visa 4 8
## 1463 31 Yes Yes Othe 3 7
## 1464 22 Yes No AMEX 2 7
## 1465 23 No No Visa 20 18
## 1466 25 Yes Yes Mast 6 9
## 1467 27 Yes Yes Mast 35 6
## 1468 21 No Yes Disc 30 11
## 1469 21 No Yes Disc 7 5
## 1470 23 Yes Yes Mast 35 6
## 1471 27 Yes No AMEX 35 8
## 1472 17 Yes Yes Disc 40 7
## 1473 20 No No Visa 33 8
## 1474 27 Yes No Visa 2 10
## 1475 18 No Yes AMEX 3 12
## 1476 30 No No Disc 26 12
## 1477 44 No No Visa 13 15
## 1478 28 Yes Yes Mast 39 10
## 1479 26 No No Visa 6 11
## 1480 24 No Yes AMEX 10 12
## 1481 20 No Yes Mast 37 11
## 1482 23 No Yes Disc 13 9
## 1483 18 Yes Yes Visa 4 9
## 1484 29 Yes Yes Disc 3 5
## 1485 21 Yes Yes Disc 6 14
## 1486 22 Yes No Disc 9 10
## 1487 21 No No AMEX 7 15
## 1488 26 No No Visa 7 10
## 1489 32 No Yes Mast 33 7
## 1490 20 Yes No Visa 39 14
## 1491 33 No No Disc 18 14
## 1492 22 Yes No Disc 22 12
## 1493 13 Yes No Mast 33 15
## 1494 40 No No Visa 27 2
## 1495 31 Yes Yes Visa 14 9
## 1496 28 No Yes Mast 20 18
## 1497 33 Yes Yes Disc 34 11
## 1498 36 No No Othe 6 12
## 1499 20 Yes Yes Disc 11 13
## 1500 27 Yes Yes Visa 5 10
## 1501 21 No Yes AMEX 29 9
## 1502 32 Yes Yes Disc 33 6
## 1503 15 No Yes Visa 11 11
## 1504 28 Yes Yes AMEX 25 6
## 1505 37 No Yes Disc 19 10
## 1506 21 No No Mast 0 9
## 1507 27 No No AMEX 15 6
## 1508 24 No Yes Mast 3 9
## 1509 21 No Yes Visa 25 8
## 1510 30 No No AMEX 6 5
## 1511 20 Yes Yes Disc 17 18
## 1512 30 Yes Yes Mast 39 11
## 1513 21 No No Visa 12 7
## 1514 26 Yes No Visa 25 8
## 1515 23 Yes Yes AMEX 14 7
## 1516 29 Yes No Disc 8 12
## 1517 21 No Yes Othe 20 13
## 1518 28 No Yes Disc 8 5
## 1519 30 Yes No Visa 6 10
## 1520 48 No No Visa 4 10
## 1521 31 Yes No Othe 16 5
## 1522 32 Yes Yes Mast 21 11
## 1523 27 Yes Yes Othe 8 7
## 1524 19 No Yes AMEX 4 18
## 1525 36 No Yes Mast 2 9
## 1526 19 Yes Yes Visa 27 4
## 1527 31 Yes Yes Disc 13 9
## 1528 23 Yes Yes Mast 30 4
## 1529 25 Yes Yes Disc 2 11
## 1530 33 No No Mast 37 16
## 1531 27 No No Visa 22 9
## 1532 36 No No Othe 2 12
## 1533 25 No Yes Disc 15 8
## 1534 23 No No Visa 36 10
## 1535 39 Yes No Disc 28 13
## 1536 20 Yes Yes Disc 16 7
## 1537 25 No Yes Visa 7 12
## 1538 21 No Yes Visa 10 6
## 1539 30 Yes No Disc 24 11
## 1540 29 Yes Yes Mast 15 10
## 1541 25 No No Disc 8 12
## 1542 21 Yes Yes Disc 37 7
## 1543 34 No No Mast 7 6
## 1544 35 No No Mast 23 15
## 1545 33 Yes Yes Visa 3 8
## 1546 24 No Yes Visa 27 12
## 1547 20 Yes No Mast 9 8
## 1548 21 No No Mast 8 10
## 1549 21 Yes No Othe 5 10
## 1550 25 Yes Yes AMEX 2 8
## 1551 42 Yes No Mast 18 8
## 1552 22 No Yes Disc 11 16
## 1553 38 No Yes Disc 35 8
## 1554 33 No No Mast 1 10
## 1555 20 No No AMEX 13 6
## 1556 14 No Yes Disc 37 7
## 1557 33 No Yes Visa 3 11
## 1558 30 No No Mast 17 12
## 1559 19 No No AMEX 16 8
## 1560 27 No Yes Othe 15 12
## 1561 32 Yes Yes Disc 30 9
## 1562 23 No No Mast 35 14
## 1563 24 No Yes AMEX 16 9
## 1564 17 No No Mast 17 11
## 1565 24 No No Disc 8 16
## 1566 27 No No Mast 6 12
## 1567 29 No No Visa 33 12
## 1568 21 No No Visa 9 10
## 1569 34 No No Mast 37 9
## 1570 19 Yes Yes AMEX 10 12
## 1571 16 Yes Yes AMEX 15 10
## 1572 31 No Yes Mast 5 5
## 1573 25 No No Visa 8 20
## 1574 27 No No Mast 34 10
## 1575 26 Yes Yes Disc 4 9
## 1576 21 No Yes AMEX 24 4
## 1577 29 No No AMEX 1 7
## 1578 22 No No Mast 15 9
## 1579 21 No Yes AMEX 5 9
## 1580 26 No Yes Disc 20 9
## 1581 29 Yes Yes Disc 6 10
## 1582 32 No Yes Disc 8 15
## 1583 23 Yes Yes Disc 13 5
## 1584 25 No Yes AMEX 2 14
## 1585 13 No Yes Visa 15 6
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## 1595 33 No No Visa 36 1
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## 1597 32 No No AMEX 27 7
## 1598 25 No Yes Visa 32 11
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## 1600 33 No Yes Disc 31 14
## 1601 22 No Yes Mast 3 5
## 1602 15 Yes No Disc 21 12
## 1603 26 No Yes Othe 13 9
## 1604 38 Yes Yes Othe 0 14
## 1605 26 Yes No Visa 32 10
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## 1607 22 No No Disc 11 15
## 1608 37 No Yes Mast 25 12
## 1609 23 No No Disc 18 9
## 1610 24 No No Disc 14 7
## 1611 29 No No Visa 14 13
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## 1615 25 No Yes Visa 2 4
## 1616 25 Yes Yes AMEX 5 12
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## 1618 31 No Yes Disc 15 7
## 1619 17 No No Visa 16 7
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## 1622 18 No Yes Mast 35 11
## 1623 24 No No Disc 4 18
## 1624 22 Yes Yes Disc 5 9
## 1625 23 No No Disc 10 9
## 1626 23 No No AMEX 19 12
## 1627 28 No Yes Disc 18 6
## 1628 30 No No Disc 32 8
## 1629 22 No No Mast 3 14
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## 1631 32 Yes Yes Disc 8 18
## 1632 28 No No Disc 8 14
## 1633 28 Yes Yes Visa 11 8
## 1634 35 Yes Yes Visa 35 9
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## 1636 30 Yes Yes Visa 34 11
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## 1638 25 Yes No Disc 7 10
## 1639 27 No Yes Disc 15 9
## 1640 24 No Yes Disc 8 10
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## 1644 35 No No AMEX 29 11
## 1645 28 No Yes Disc 21 11
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## 1650 22 Yes Yes Visa 26 9
## 1651 36 No No Visa 3 9
## 1652 44 No Yes Mast 11 7
## 1653 18 No No Mast 16 6
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## 1656 23 Yes Yes Visa 35 10
## 1657 33 Yes Yes Mast 12 11
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## 1660 39 No Yes Visa 15 19
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## 1662 24 No No AMEX 9 13
## 1663 26 No No Disc 37 1
## 1664 24 Yes Yes Disc 14 13
## 1665 30 No No Visa 9 7
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## 1667 20 Yes No AMEX 32 14
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## 1669 24 No No Mast 32 5
## 1670 21 No No Disc 2 9
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## 1672 20 No No Othe 18 12
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## 1674 25 Yes No Visa 36 11
## 1675 23 No Yes Disc 17 9
## 1676 27 No No Disc 2 12
## 1677 22 No Yes Mast 28 10
## 1678 34 No No Mast 23 9
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## 1681 28 No No Mast 22 5
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## 1684 22 No Yes Mast 5 16
## 1685 24 No No Visa 15 10
## 1686 15 No No Disc 0 10
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## 1692 18 No No Disc 12 2
## 1693 33 No No Visa 6 15
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## 1120 444.8 No 53 43.50
## 1121 1873.2 No 71 97.35
## 1122 3171.7 Yes 12 17.70
## 1123 1208.9 Yes 1 9.30
## 1124 2370.9 No 45 32.40
## 1125 1483.3 Yes 57 31.65
## 1126 7321.2 Yes 10 12.75
## 1127 4691.7 Yes 22 11.85
## 1128 6428.6 No 22 27.75
## 1129 1736.0 No 25 18.15
## 1130 972.6 No 69 83.85
## 1131 1155.8 Yes 36 25.05
## 1132 2602.8 Yes 1 4.20
## 1133 1997.7 No 11 24.15
## 1134 4072.9 No 15 12.15
## 1135 1677.3 Yes 48 43.50
## 1136 1896.4 Yes 37 17.25
## 1137 3752.3 Yes 44 20.25
## 1138 2014.1 Yes 19 18.15
## 1139 1856.9 Yes 2 8.10
## 1140 1411.1 Yes 19 29.85
## 1141 2703.0 Yes 53 89.10
## 1142 4633.5 Yes 33 15.90
## 1143 2588.2 Yes 69 66.45
## 1144 1155.1 No 59 49.35
## 1145 1460.0 Yes 67 65.25
## 1146 3497.7 No 62 30.30
## 1147 1507.8 No 12 22.50
## 1148 4189.3 No 71 67.35
## 1149 2330.9 No 6 11.70
## 1150 2988.8 No 58 44.10
## 1151 3385.2 Yes 48 29.70
## 1152 2278.0 No 39 12.45
## 1153 11528.5 Yes 72 291.90
## 1154 4312.5 Yes 14 15.75
## 1155 3164.5 No 70 132.00
## 1156 4313.2 No 1 5.55
## 1157 4518.4 No 47 28.65
## 1158 4202.4 Yes 28 29.25
## 1159 5765.6 No 47 22.80
## 1160 1455.3 No 44 18.45
## 1161 2640.2 No 43 28.80
## 1162 4728.0 Yes 2 9.30
## 1163 2197.7 No 39 31.05
## 1164 7503.0 Yes 46 41.70
## 1165 3603.0 No 11 13.65
## 1166 5169.4 No 33 19.80
## 1167 2896.1 Yes 9 10.50
## 1168 3961.6 No 16 16.95
## 1169 1622.8 No 65 63.15
## 1170 2818.1 Yes 54 40.50
## 1171 1084.4 No 1 8.40
## 1172 1438.1 Yes 70 68.85
## 1173 2438.4 Yes 43 27.90
## 1174 1296.6 Yes 33 47.70
## 1175 2144.1 Yes 17 19.35
## 1176 1556.9 Yes 72 143.85
## 1177 2484.5 No 4 32.55
## 1178 4581.7 No 61 34.20
## 1179 5804.3 No 41 31.95
## 1180 3100.7 Yes 52 23.25
## 1181 3489.8 No 16 8.40
## 1182 3541.7 No 62 73.35
## 1183 2647.9 Yes 10 9.00
## 1184 1288.0 Yes 27 29.55
## 1185 1306.3 No 6 12.45
## 1186 6297.3 No 59 27.75
## 1187 2136.3 No 23 21.75
## 1188 4099.6 Yes 1 7.80
## 1189 2941.9 No 53 38.55
## 1190 1390.5 Yes 34 25.95
## 1191 5819.5 Yes 3 33.75
## 1192 1984.2 No 14 33.00
## 1193 4542.1 No 62 25.95
## 1194 3178.6 No 37 17.85
## 1195 3506.8 No 32 21.45
## 1196 4231.0 No 60 71.70
## 1197 1341.5 No 25 23.10
## 1198 5682.1 Yes 30 15.90
## 1199 3267.0 No 7 9.60
## 1200 573.1 Yes 2 5.25
## 1201 1673.7 No 52 32.70
## 1202 1996.6 Yes 72 129.90
## 1203 2975.8 Yes 61 66.00
## 1204 8363.2 Yes 67 45.00
## 1205 2463.2 No 14 14.40
## 1206 4073.2 No 64 32.55
## 1207 1857.8 Yes 27 15.30
## 1208 4949.0 No 9 11.40
## 1209 7516.3 No 50 33.30
## 1210 2762.5 Yes 12 13.05
## 1211 545.2 No 18 14.25
## 1212 2186.4 Yes 67 68.55
## 1213 6224.7 Yes 39 20.70
## 1214 9462.3 Yes 68 54.30
## 1215 4854.1 Yes 37 25.95
## 1216 6186.7 Yes 1 3.30
## 1217 2783.4 Yes 1 5.25
## 1218 491.6 No 72 78.30
## 1219 868.4 No 47 52.50
## 1220 4950.2 Yes 11 12.75
## 1221 4067.5 No 23 18.45
## 1222 1918.6 No 12 11.25
## 1223 4896.6 No 68 53.70
## 1224 4852.6 Yes 65 102.15
## 1225 1498.6 Yes 1 7.65
## 1226 3552.1 Yes 71 80.40
## 1227 1263.2 Yes 37 37.20
## 1228 2807.7 No 43 27.90
## 1229 2597.3 No 39 18.30
## 1230 2739.9 Yes 67 74.10
## 1231 6286.7 No 69 97.95
## 1232 12500.4 No 3 6.15
## 1233 2571.1 No 59 65.10
## 1234 2446.8 Yes 6 9.00
## 1235 1002.2 No 12 9.75
## 1236 3867.7 Yes 12 15.45
## 1237 3038.6 Yes 70 48.00
## 1238 6033.7 No 63 70.50
## 1239 2010.3 No 32 20.25
## 1240 4255.2 Yes 72 110.85
## 1241 3730.4 Yes 57 42.15
## 1242 2877.4 Yes 29 32.55
## 1243 2986.8 No 71 87.60
## 1244 2055.4 Yes 41 25.65
## 1245 2005.2 No 70 151.80
## 1246 6055.8 No 67 72.90
## 1247 1775.7 Yes 32 41.10
## 1248 1264.0 No 5 4.80
## 1249 1823.1 No 71 113.25
## 1250 3460.4 Yes 61 45.60
## 1251 4432.2 No 32 10.95
## 1252 1325.0 Yes 15 25.80
## 1253 2617.3 No 31 16.65
## 1254 1770.2 No 62 43.05
## 1255 4899.8 No 72 136.20
## 1256 2633.0 No 55 66.15
## 1257 2062.4 No 67 38.10
## 1258 2165.5 Yes 11 15.45
## 1259 1022.7 Yes 54 59.40
## 1260 2790.9 No 72 420.60
## 1261 3515.6 Yes 28 24.90
## 1262 775.2 No 63 75.90
## 1263 2490.0 Yes 46 35.55
## 1264 916.6 Yes 63 56.25
## 1265 1534.6 Yes 12 14.85
## 1266 9127.7 Yes 61 26.85
## 1267 3545.5 No 53 80.40
## 1268 2888.6 Yes 20 17.10
## 1269 4255.5 Yes 48 29.55
## 1270 3792.0 No 33 38.70
## 1271 2369.2 Yes 18 16.95
## 1272 3613.4 No 4 17.40
## 1273 4704.8 No 52 40.80
## 1274 800.3 No 20 25.65
## 1275 5793.7 No 39 31.65
## 1276 3264.4 No 6 6.30
## 1277 1742.1 Yes 26 20.70
## 1278 4660.7 Yes 1 18.60
## 1279 2078.3 Yes 33 46.20
## 1280 2277.6 Yes 26 33.15
## 1281 1970.6 No 33 56.55
## 1282 470.0 Yes 38 37.95
## 1283 3760.9 Yes 6 27.60
## 1284 2911.8 No 59 63.90
## 1285 2005.3 Yes 63 70.65
## 1286 1195.3 Yes 32 24.60
## 1287 1693.0 No 5 11.10
## 1288 1684.7 No 47 20.10
## 1289 2819.7 No 27 38.10
## 1290 5348.8 Yes 56 36.60
## 1291 4325.0 No 14 29.70
## 1292 8382.4 No 66 40.05
## 1293 8242.4 No 72 169.05
## 1294 2335.9 No 9 25.05
## 1295 2326.1 Yes 28 33.90
## 1296 5268.9 Yes 39 103.50
## 1297 6752.1 Yes 14 27.90
## 1298 6286.5 Yes 24 62.25
## 1299 24610.3 No 67 33.15
## 1300 2024.4 Yes 27 24.30
## 1301 2457.0 Yes 7 6.90
## 1302 2732.1 Yes 9 24.30
## 1303 4271.0 Yes 45 27.75
## 1304 2576.7 Yes 24 19.20
## 1305 2936.9 No 5 5.40
## 1306 5803.8 Yes 8 13.65
## 1307 4523.0 No 2 8.40
## 1308 5730.5 No 65 70.20
## 1309 1824.4 No 3 12.00
## 1310 2962.9 No 69 69.15
## 1311 2430.9 No 32 21.90
## 1312 1869.1 No 72 76.65
## 1313 2991.1 Yes 30 22.80
## 1314 2511.5 Yes 23 23.40
## 1315 1254.7 Yes 70 36.60
## 1316 2763.3 Yes 41 38.10
## 1317 5697.3 Yes 4 16.50
## 1318 697.4 Yes 63 71.10
## 1319 3328.8 Yes 34 21.75
## 1320 6186.0 No 56 53.40
## 1321 1268.2 Yes 20 13.35
## 1322 2127.7 No 62 49.65
## 1323 2598.3 Yes 4 8.25
## 1324 1369.3 Yes 72 195.60
## 1325 2957.6 No 27 22.65
## 1326 7828.0 No 11 14.85
## 1327 1875.2 Yes 14 9.90
## 1328 7188.6 Yes 30 21.45
## 1329 1701.5 Yes 52 17.10
## 1330 4671.0 No 40 40.35
## 1331 2459.1 No 46 21.60
## 1332 2008.2 Yes 36 35.85
## 1333 10889.0 Yes 61 50.55
## 1334 1692.9 No 54 31.35
## 1335 1990.1 No 38 23.55
## 1336 2361.8 Yes 62 62.25
## 1337 2697.1 No 6 15.60
## 1338 3112.1 Yes 22 21.00
## 1339 3393.6 Yes 7 11.10
## 1340 1513.3 No 17 14.25
## 1341 11049.4 Yes 10 23.70
## 1342 1172.4 No 3 12.30
## 1343 4352.9 Yes 39 18.45
## 1344 3563.9 No 43 62.70
## 1345 2669.5 Yes 57 41.40
## 1346 5741.0 No 5 6.90
## 1347 4050.4 No 66 142.80
## 1348 1422.1 Yes 32 44.40
## 1349 6182.3 Yes 12 13.20
## 1350 1297.1 No 22 22.50
## 1351 2323.6 No 26 18.75
## 1352 5154.4 Yes 24 13.65
## 1353 2265.8 Yes 20 19.50
## 1354 8356.1 No 46 43.80
## 1355 4788.9 Yes 38 25.35
## 1356 3462.6 Yes 28 13.80
## 1357 3130.6 Yes 5 7.35
## 1358 3076.4 Yes 5 6.90
## 1359 3318.8 No 34 44.40
## 1360 3439.0 Yes 60 61.65
## 1361 8864.3 Yes 20 13.80
## 1362 4645.1 No 19 14.70
## 1363 1642.9 Yes 69 26.55
## 1364 2771.6 Yes 9 18.00
## 1365 3692.3 Yes 63 41.25
## 1366 913.6 No 7 5.55
## 1367 2932.3 No 8 9.90
## 1368 5116.9 No 72 163.95
## 1369 1594.3 No 71 66.15
## 1370 3162.3 No 5 18.00
## 1371 5101.5 No 12 28.05
## 1372 1966.0 No 60 29.10
## 1373 3126.5 No 44 18.15
## 1374 5238.1 No 30 36.15
## 1375 1355.0 No 70 109.05
## 1376 1880.9 Yes 13 20.10
## 1377 1776.6 Yes 8 7.35
## 1378 3550.8 Yes 36 27.90
## 1379 1462.8 No 32 25.65
## 1380 2308.8 Yes 41 48.15
## 1381 2831.7 Yes 32 32.85
## 1382 3442.9 No 35 29.10
## 1383 2890.2 No 68 63.00
## 1384 3672.7 Yes 3 9.60
## 1385 4207.9 Yes 26 22.50
## 1386 3415.2 No 65 90.45
## 1387 2265.2 No 22 30.45
## 1388 1738.4 No 69 33.30
## 1389 16649.8 No 71 110.25
## 1390 3513.2 Yes 41 37.80
## 1391 434.9 No 56 83.10
## 1392 3747.0 No 62 58.65
## 1393 2507.0 No 35 27.30
## 1394 2683.3 No 44 17.55
## 1395 2962.1 No 64 72.90
## 1396 2192.2 No 46 36.45
## 1397 10094.1 Yes 31 40.35
## 1398 3199.1 No 19 12.30
## 1399 2725.0 Yes 16 21.45
## 1400 1988.4 Yes 24 34.80
## 1401 2105.0 Yes 39 26.55
## 1402 844.5 No 43 33.30
## 1403 3104.6 Yes 11 11.25
## 1404 2411.1 No 68 98.40
## 1405 3432.8 Yes 45 8.70
## 1406 1115.1 No 32 34.65
## 1407 3104.4 No 44 40.50
## 1408 1377.0 Yes 2 8.70
## 1409 2406.2 Yes 2 39.45
## 1410 3133.3 No 38 34.05
## 1411 6925.5 No 72 119.85
## 1412 3595.2 Yes 46 31.05
## 1413 2504.4 No 47 21.30
## 1414 2182.0 Yes 1 19.80
## 1415 5552.1 Yes 1 6.45
## 1416 918.8 Yes 3 5.85
## 1417 265.4 No 12 24.60
## 1418 2037.7 No 12 18.60
## 1419 1716.7 No 3 5.25
## 1420 5315.6 Yes 43 33.75
## 1421 4023.9 Yes 61 25.80
## 1422 3489.5 Yes 14 18.30
## 1423 2742.0 No 34 22.80
## 1424 1326.8 No 62 78.60
## 1425 7198.7 No 46 48.90
## 1426 1887.5 No 71 105.60
## 1427 2931.1 No 31 24.00
## 1428 3937.5 No 62 58.50
## 1429 2875.2 Yes 46 15.75
## 1430 991.5 No 22 30.15
## 1431 4864.5 No 49 40.95
## 1432 1209.9 No 30 43.95
## 1433 4696.2 Yes 68 93.90
## 1434 5175.6 Yes 61 50.85
## 1435 2306.6 No 72 123.75
## 1436 1562.3 No 53 31.35
## 1437 2856.7 No 48 36.45
## 1438 4110.7 No 46 46.50
## 1439 2371.1 Yes 40 26.25
## 1440 4558.1 Yes 37 24.30
## 1441 7475.1 Yes 30 49.80
## 1442 2442.7 No 71 115.20
## 1443 2973.3 No 55 48.15
## 1444 589.2 No 64 41.55
## 1445 2249.4 Yes 72 158.70
## 1446 4469.1 No 6 9.00
## 1447 3245.1 No 16 29.25
## 1448 2425.2 No 72 224.85
## 1449 3732.3 Yes 54 34.20
## 1450 3483.2 No 19 19.35
## 1451 1862.2 No 72 236.10
## 1452 2769.9 Yes 3 6.30
## 1453 2718.4 No 55 29.25
## 1454 2559.3 Yes 56 51.45
## 1455 2277.6 No 15 10.95
## 1456 6411.8 Yes 50 55.80
## 1457 3225.9 No 48 25.35
## 1458 1975.7 Yes 36 17.55
## 1459 3209.9 Yes 2 9.75
## 1460 843.9 No 70 32.55
## 1461 1195.1 No 30 23.70
## 1462 2398.8 No 6 9.30
## 1463 916.9 Yes 23 14.25
## 1464 1833.3 Yes 2 10.80
## 1465 7355.5 Yes 63 29.55
## 1466 1027.9 Yes 13 15.00
## 1467 2410.8 No 67 108.45
## 1468 3843.7 No 65 102.00
## 1469 1512.3 Yes 28 23.25
## 1470 1720.7 Yes 65 81.15
## 1471 3978.1 No 68 61.65
## 1472 1216.3 Yes 72 93.90
## 1473 1627.8 No 66 64.35
## 1474 4146.1 No 2 9.30
## 1475 3536.4 Yes 5 8.25
## 1476 3947.4 Yes 70 34.65
## 1477 3112.9 Yes 25 31.65
## 1478 3360.1 No 72 106.35
## 1479 1634.8 No 16 15.75
## 1480 4783.5 No 25 23.85
## 1481 1521.6 No 67 74.55
## 1482 1530.4 No 25 14.25
## 1483 913.6 Yes 23 36.90
## 1484 1057.4 No 15 27.90
## 1485 4349.0 Yes 54 31.35
## 1486 2425.2 Yes 16 15.60
## 1487 6637.8 No 16 12.75
## 1488 3054.9 No 14 13.35
## 1489 1696.8 Yes 63 57.90
## 1490 5504.3 No 72 243.15
## 1491 5595.7 Yes 36 19.50
## 1492 2623.7 No 53 55.80
## 1493 2448.5 Yes 69 85.65
## 1494 645.4 No 54 22.50
## 1495 1573.0 Yes 27 51.75
## 1496 6155.4 No 46 33.30
## 1497 1528.9 Yes 72 102.00
## 1498 7267.7 Yes 9 14.55
## 1499 5953.9 Yes 16 16.65
## 1500 3613.6 Yes 18 17.55
## 1501 2180.1 Yes 67 28.20
## 1502 1841.1 Yes 68 95.70
## 1503 2720.6 No 35 21.00
## 1504 2386.6 No 36 22.05
## 1505 2293.2 Yes 52 31.80
## 1506 1427.9 Yes 2 21.60
## 1507 4454.0 No 31 34.65
## 1508 1255.5 Yes 18 15.45
## 1509 3158.8 Yes 46 38.40
## 1510 2075.5 No 10 21.45
## 1511 3732.9 Yes 46 18.75
## 1512 8169.1 Yes 72 195.15
## 1513 1103.7 Yes 43 15.90
## 1514 1077.4 No 41 27.90
## 1515 3660.6 No 34 38.70
## 1516 4929.4 Yes 37 25.80
## 1517 2995.0 Yes 64 60.00
## 1518 915.9 Yes 26 22.65
## 1519 2002.8 Yes 28 21.15
## 1520 3132.9 No 25 17.25
## 1521 529.1 No 48 36.45
## 1522 1436.2 No 52 48.00
## 1523 1188.5 Yes 27 11.10
## 1524 31046.3 No 7 14.40
## 1525 1749.2 Yes 3 10.35
## 1526 776.3 No 51 30.00
## 1527 3953.1 No 14 13.20
## 1528 617.2 No 59 112.20
## 1529 2701.5 No 5 9.60
## 1530 4891.4 No 70 42.75
## 1531 1587.8 No 51 31.65
## 1532 2841.4 Yes 3 3.90
## 1533 3934.2 No 37 25.95
## 1534 2170.9 Yes 72 88.35
## 1535 5268.0 No 52 43.80
## 1536 3967.6 No 55 23.25
## 1537 4054.2 No 15 16.95
## 1538 1235.7 No 24 21.00
## 1539 5332.5 No 39 18.30
## 1540 1121.0 No 37 23.70
## 1541 6585.4 No 13 17.10
## 1542 2385.2 No 67 45.75
## 1543 1655.6 Yes 12 21.30
## 1544 2778.1 Yes 69 68.25
## 1545 2878.6 No 17 54.90
## 1546 5419.2 Yes 64 62.70
## 1547 2359.4 Yes 25 17.55
## 1548 1783.2 No 8 22.05
## 1549 1935.7 Yes 15 18.45
## 1550 3691.4 Yes 5 14.25
## 1551 3156.6 No 39 30.45
## 1552 3663.7 Yes 29 34.65
## 1553 1232.9 No 67 35.40
## 1554 1472.7 Yes 4 9.60
## 1555 1812.8 No 48 32.55
## 1556 4997.5 No 72 69.15
## 1557 5706.8 Yes 5 22.05
## 1558 6731.0 Yes 32 16.80
## 1559 2971.3 Yes 28 42.30
## 1560 8700.8 Yes 30 23.70
## 1561 1987.5 No 72 185.40
## 1562 1941.6 No 69 67.35
## 1563 3551.7 Yes 40 22.80
## 1564 3089.0 No 49 26.10
## 1565 6424.8 Yes 24 15.45
## 1566 1486.4 No 15 21.60
## 1567 2138.9 No 57 35.10
## 1568 2258.9 Yes 28 16.05
## 1569 1162.7 Yes 71 63.60
## 1570 6019.1 Yes 27 10.65
## 1571 3715.7 No 37 25.65
## 1572 1016.2 Yes 10 11.55
## 1573 5475.4 Yes 25 21.45
## 1574 1808.5 Yes 67 70.50
## 1575 4558.7 No 16 25.80
## 1576 1315.4 No 60 44.55
## 1577 4871.8 Yes 2 11.10
## 1578 2871.4 Yes 42 41.10
## 1579 4235.5 No 11 21.15
## 1580 1567.1 Yes 50 39.30
## 1581 1814.5 Yes 14 14.70
## 1582 4352.0 Yes 17 20.40
## 1583 1303.5 No 22 22.20
## 1584 3542.9 Yes 35 14.40
## 1585 1061.2 No 42 35.55
## 1586 2904.8 Yes 56 78.90
## 1587 10191.1 No 11 23.10
## 1588 7917.5 Yes 72 173.10
## 1589 1301.3 No 66 66.45
## 1590 8270.3 Yes 10 12.00
## 1591 6100.5 No 65 77.10
## 1592 4876.6 No 38 25.50
## 1593 1902.2 No 72 122.10
## 1594 1796.4 Yes 15 15.75
## 1595 154.5 No 71 49.95
## 1596 7069.5 No 71 60.45
## 1597 1954.4 No 66 99.60
## 1598 4094.5 No 65 87.60
## 1599 2445.2 Yes 57 22.05
## 1600 2013.3 No 58 27.00
## 1601 774.9 No 7 20.25
## 1602 6196.6 No 33 19.05
## 1603 3084.5 Yes 29 26.10
## 1604 3950.7 Yes 10 16.50
## 1605 2829.9 No 66 26.55
## 1606 1573.2 No 68 63.75
## 1607 4872.2 Yes 42 24.45
## 1608 3917.7 Yes 63 53.55
## 1609 6149.4 No 40 19.65
## 1610 2559.1 No 56 44.10
## 1611 3759.2 Yes 36 19.35
## 1612 528.9 Yes 55 30.30
## 1613 2972.9 Yes 13 26.40
## 1614 8877.0 Yes 10 24.90
## 1615 732.5 Yes 4 13.50
## 1616 4499.8 Yes 11 10.05
## 1617 4513.8 No 49 26.55
## 1618 3873.8 No 38 47.85
## 1619 1422.4 No 55 34.95
## 1620 4895.3 No 59 27.60
## 1621 4432.7 No 4 11.10
## 1622 3550.9 Yes 69 62.70
## 1623 6534.2 No 17 23.70
## 1624 1096.1 Yes 18 12.45
## 1625 4600.5 No 19 19.80
## 1626 5636.2 Yes 45 23.10
## 1627 2353.5 No 39 36.45
## 1628 1454.3 No 60 65.25
## 1629 4493.0 No 6 7.05
## 1630 1653.8 No 39 21.15
## 1631 2889.0 No 11 30.90
## 1632 4247.1 Yes 41 32.40
## 1633 2272.2 Yes 9 17.40
## 1634 2586.5 No 68 77.10
## 1635 4176.5 Yes 3 19.65
## 1636 2293.8 No 64 99.90
## 1637 7309.7 No 69 111.30
## 1638 1591.8 Yes 15 8.25
## 1639 2486.7 Yes 22 20.25
## 1640 1496.3 Yes 14 18.30
## 1641 3537.5 Yes 32 34.50
## 1642 3211.9 Yes 9 10.05
## 1643 2219.0 No 28 23.85
## 1644 5602.8 No 65 44.10
## 1645 3131.9 No 41 25.95
## 1646 1723.9 Yes 2 6.90
## 1647 3881.0 No 50 70.95
## 1648 1778.8 No 7 11.25
## 1649 1895.0 Yes 15 16.20
## 1650 2997.3 No 56 47.40
## 1651 2311.4 No 27 10.35
## 1652 1120.6 Yes 31 15.15
## 1653 1070.0 No 54 42.60
## 1654 4885.1 No 54 37.05
## 1655 2284.8 No 54 42.75
## 1656 7522.3 No 70 64.35
## 1657 2093.5 No 62 36.60
## 1658 0.0 No 49 16.05
## 1659 2324.5 Yes 2 53.25
## 1660 5909.4 Yes 48 39.15
## 1661 3152.3 Yes 54 44.10
## 1662 3402.3 Yes 42 22.20
## 1663 166.2 No 72 127.65
## 1664 3835.5 No 53 22.95
## 1665 1330.9 No 19 18.15
## 1666 1689.5 No 66 70.95
## 1667 4884.9 No 64 76.65
## 1668 2959.7 No 58 39.60
## 1669 1283.4 Yes 63 62.10
## 1670 1708.3 No 5 10.20
## 1671 2475.8 Yes 2 6.15
## 1672 2180.2 No 63 51.00
## 1673 3591.1 Yes 18 8.85
## 1674 5488.4 Yes 68 77.10
## 1675 2610.6 No 49 20.85
## 1676 1592.8 No 9 14.25
## 1677 1813.1 No 65 44.40
## 1678 2083.9 No 53 45.00
## 1679 4152.5 No 1 6.15
## 1680 5992.7 No 71 115.80
## 1681 1796.5 No 52 32.55
## 1682 1982.4 No 31 19.50
## 1683 4758.2 No 40 19.50
## 1684 4053.9 Yes 18 15.30
## 1685 1419.5 Yes 48 35.40
## 1686 1442.3 Yes 10 100.50
## 1687 5315.1 Yes 46 13.80
## 1688 3050.9 Yes 33 14.25
## 1689 8949.4 No 68 63.45
## 1690 1470.3 Yes 53 38.25
## 1691 3240.3 No 32 12.60
## 1692 265.7 No 36 25.05
## 1693 2652.9 No 24 14.85
## 1694 2132.4 No 71 142.80
## VoiceOverTenure EquipmentRental EquipmentLastMonth EquipmentOverTenure
## 1 34.4 Yes 29.50 126.10
## 2 330.6 Yes 54.85 1975.00
## 3 1858.35 No 0.00 0.00
## 4 199.45 No 0.00 0.00
## 5 74.1 No 0.00 0.00
## 6 264.9 Yes 35.50 970.95
## 7 44.8 No 0.00 0.00
## 8 612.7 No 0.00 0.00
## 9 1074.35 No 0.00 0.00
## 10 20.05 No 0.00 0.00
## 11 446.55 Yes 31.20 1568.35
## 12 37 No 0.00 0.00
## 13 29.9 No 0.00 0.00
## 14 680.75 No 0.00 0.00
## 15 954.05 Yes 38.55 2580.75
## 16 2854.9 No 0.00 0.00
## 17 214.85 Yes 43.15 1990.25
## 18 2540.15 No 0.00 0.00
## 19 110.45 No 0.00 0.00
## 20 85.6 Yes 24.85 341.75
## 21 567.05 No 0.00 0.00
## 22 805.8 No 0.00 0.00
## 23 476.95 Yes 29.10 1790.80
## 24 504.45 Yes 43.50 1663.95
## 25 11.15 No 0.00 0.00
## 26 1565.6 Yes 47.15 2874.15
## 27 149.4 Yes 27.05 728.55
## 28 42.4 Yes 19.65 172.75
## 29 6495.7 No 0.00 0.00
## 30 233.85 No 0.00 0.00
## 31 524.4 No 0.00 0.00
## 32 2586.85 Yes 55.15 4064.25
## 33 19.35 No 0.00 0.00
## 34 116.3 No 0.00 0.00
## 35 122 Yes 49.25 1693.60
## 36 244.7 Yes 27.40 1123.60
## 37 1473.3 Yes 44.85 2973.00
## 38 884.75 No 0.00 0.00
## 39 238 Yes 57.25 1740.25
## 40 479 No 0.00 0.00
## 41 465.5 No 0.00 0.00
## 42 659.35 Yes 29.75 1319.50
## 43 133.35 No 0.00 0.00
## 44 169.8 No 0.00 0.00
## 45 141.25 Yes 26.35 516.30
## 46 75 No 0.00 0.00
## 47 201.55 No 0.00 0.00
## 48 1016.85 No 0.00 0.00
## 49 47.55 No 0.00 0.00
## 50 661.55 No 0.00 0.00
## 51 11.15 No 0.00 0.00
## 52 710.95 No 0.00 0.00
## 53 555.75 No 0.00 0.00
## 54 221.2 Yes 49.85 1886.70
## 55 107.95 No 0.00 0.00
## 56 174.05 No 0.00 0.00
## 57 1442.05 Yes 48.05 3054.80
## 58 934 No 0.00 0.00
## 59 1114 No 0.00 0.00
## 60 220.9 Yes 21.40 559.85
## 61 322.5 No 0.00 0.00
## 62 38.25 Yes 41.85 163.40
## 63 234.75 No 0.00 0.00
## 64 1231.75 No 0.00 0.00
## 65 15.45 No 0.00 0.00
## 66 629.55 No 0.00 0.00
## 67 86.3 No 0.00 0.00
## 68 75.95 No 0.00 0.00
## 69 26.35 No 0.00 0.00
## 70 2817.05 No 0.00 0.00
## 71 81.7 No 0.00 0.00
## 72 1487.15 Yes 55.95 3887.20
## 73 521.9 No 0.00 0.00
## 74 354.45 No 0.00 0.00
## 75 2537.2 No 0.00 0.00
## 76 213.9 No 0.00 0.00
## 77 121.55 Yes 39.05 494.80
## 78 540 No 0.00 0.00
## 79 150 No 0.00 0.00
## 80 52.35 Yes 24.70 190.85
## 81 6.3 Yes 32.85 42.85
## 82 708.25 No 0.00 0.00
## 83 580.35 Yes 49.00 2046.80
## 84 7400.85 No 0.00 0.00
## 85 507.25 No 0.00 0.00
## 86 1858.25 No 0.00 0.00
## 87 1286.1 Yes 54.40 3676.20
## 88 29.1 Yes 35.95 210.55
## 89 1154.15 Yes 61.90 3395.00
## 90 3491.9 No 0.00 0.00
## 91 114.15 No 0.00 0.00
## 92 553.75 No 0.00 0.00
## 93 29.9 Yes 32.95 261.20
## 94 378.7 No 0.00 0.00
## 95 5166.2 Yes 44.55 3259.85
## 96 457.4 No 0.00 0.00
## 97 1550.1 No 0.00 0.00
## 98 2.1 Yes 25.55 25.55
## 99 4632 Yes 35.80 2430.95
## 100 625.05 No 0.00 0.00
## 101 24.65 Yes 31.35 438.25
## 102 2239.45 No 0.00 0.00
## 103 1292.85 No 0.00 0.00
## 104 1.4 No 0.00 0.00
## 105 241.75 No 0.00 0.00
## 106 58.4 No 0.00 0.00
## 107 760.4 No 0.00 0.00
## 108 1397.15 No 0.00 0.00
## 109 695.8 No 0.00 0.00
## 110 346.95 Yes 28.60 1210.00
## 111 2049.45 No 0.00 0.00
## 112 1728.1 Yes 39.45 2674.25
## 113 271.2 Yes 28.70 694.70
## 114 114.85 No 0.00 0.00
## 115 921 No 0.00 0.00
## 116 25.3 No 0.00 0.00
## 117 4276.15 No 0.00 0.00
## 118 110.5 Yes 26.65 464.05
## 119 1778 No 0.00 0.00
## 120 34.85 Yes 29.45 117.60
## 121 1620.5 Yes 55.40 3509.60
## 122 2011.2 No 0.00 0.00
## 123 411.55 No 0.00 0.00
## 124 423.9 No 0.00 0.00
## 125 581.45 No 0.00 0.00
## 126 1305.4 No 0.00 0.00
## 127 1299.45 Yes 71.70 4722.40
## 128 386.15 Yes 31.90 921.00
## 129 154.9 No 0.00 0.00
## 130 7.2 No 0.00 0.00
## 131 121.9 No 0.00 0.00
## 132 555.2 No 0.00 0.00
## 133 102.3 Yes 26.50 690.40
## 134 86.25 No 0.00 0.00
## 135 217.2 No 0.00 0.00
## 136 766.05 Yes 22.65 1144.75
## 137 36.05 No 0.00 0.00
## 138 50.85 No 0.00 0.00
## 139 1735.75 No 0.00 0.00
## 140 72.7 No 0.00 0.00
## 141 303.65 No 0.00 0.00
## 142 7.05 No 0.00 0.00
## 143 589.05 No 0.00 0.00
## 144 26.75 No 0.00 0.00
## 145 1667.05 No 0.00 0.00
## 146 179.5 Yes 32.35 1135.85
## 147 200.1 Yes 60.95 2148.60
## 148 215.2 No 0.00 0.00
## 149 276.6 No 0.00 0.00
## 150 1079.1 Yes 32.95 1973.10
## 151 464.7 Yes 35.20 1814.65
## 152 149.6 No 0.00 0.00
## 153 1865.35 No 0.00 0.00
## 154 1446.35 No 0.00 0.00
## 155 66.45 No 0.00 0.00
## 156 3073.6 No 0.00 0.00
## 157 276.5 Yes 27.70 1138.85
## 158 800.35 No 0.00 0.00
## 159 323.95 Yes 35.35 1124.85
## 160 435.15 No 0.00 0.00
## 161 757.3 No 0.00 0.00
## 162 345.4 No 0.00 0.00
## 163 12.2 Yes 42.10 85.00
## 164 2355.7 No 0.00 0.00
## 165 240.15 Yes 42.70 1213.70
## 166 1510.55 Yes 33.40 2278.50
## 167 53.45 No 0.00 0.00
## 168 36.4 No 0.00 0.00
## 169 283.65 Yes 25.70 586.00
## 170 415.45 No 0.00 0.00
## 171 595.4 No 0.00 0.00
## 172 1313.45 No 0.00 0.00
## 173 386.85 Yes 22.55 636.65
## 174 251.55 Yes 29.30 805.05
## 175 905.15 Yes 35.50 2054.00
## 176 1307.2 No 0.00 0.00
## 177 802.8 No 0.00 0.00
## 178 332.8 Yes 59.65 1910.00
## 179 1052.75 No 0.00 0.00
## 180 291.2 No 0.00 0.00
## 181 757.35 No 0.00 0.00
## 182 253.9 No 0.00 0.00
## 183 820.7 No 0.00 0.00
## 184 502.1 Yes 28.25 1276.90
## 185 1144.85 No 0.00 0.00
## 186 497.3 No 0.00 0.00
## 187 97.1 No 0.00 0.00
## 188 2.75 No 0.00 0.00
## 189 3523.65 No 0.00 0.00
## 190 328 Yes 26.75 789.90
## 191 288 No 0.00 0.00
## 192 1915.3 No 0.00 0.00
## 193 652.35 No 0.00 0.00
## 194 244.15 Yes 33.20 1263.75
## 195 268.95 No 0.00 0.00
## 196 1537.45 No 0.00 0.00
## 197 184 No 0.00 0.00
## 198 387.8 Yes 39.15 1930.10
## 199 997.5 No 0.00 0.00
## 200 344.1 Yes 30.15 1191.30
## 201 8.35 Yes 39.40 136.00
## 202 476 No 0.00 0.00
## 203 734 No 0.00 0.00
## 204 745.95 No 0.00 0.00
## 205 1519 No 0.00 0.00
## 206 670.45 No 0.00 0.00
## 207 427.7 Yes 24.25 1010.00
## 208 328.3 No 0.00 0.00
## 209 579.1 Yes 43.30 1984.15
## 210 149.1 Yes 34.55 655.20
## 211 592.8 Yes 36.75 2126.50
## 212 14.25 Yes 28.85 213.40
## 213 1331.2 Yes 40.25 2249.40
## 214 210.45 No 0.00 0.00
## 215 190 No 0.00 0.00
## 216 714.75 No 0.00 0.00
## 217 2727.05 No 0.00 0.00
## 218 5246.3 No 0.00 0.00
## 219 27.5 No 0.00 0.00
## 220 551.3 No 0.00 0.00
## 221 254 Yes 38.10 1042.25
## 222 338.2 No 0.00 0.00
## 223 692 No 0.00 0.00
## 224 133.1 No 0.00 0.00
## 225 322.5 No 0.00 0.00
## 226 75.25 No 0.00 0.00
## 227 687.25 No 0.00 0.00
## 228 1028.05 No 0.00 0.00
## 229 624.4 Yes 24.85 1270.70
## 230 388.95 No 0.00 0.00
## 231 81.55 Yes 32.85 431.85
## 232 2.8 No 0.00 0.00
## 233 1352.1 No 0.00 0.00
## 234 80.2 Yes 35.85 634.55
## 235 356.55 No 0.00 0.00
## 236 16.75 Yes 34.10 194.45
## 237 267.45 No 0.00 0.00
## 238 1295 No 0.00 0.00
## 239 216.3 Yes 32.05 958.25
## 240 123.15 Yes 26.25 365.10
## 241 1641.3 Yes 43.85 2771.25
## 242 2458.8 No 0.00 0.00
## 243 28.65 Yes 30.55 26.10
## 244 264.1 No 0.00 0.00
## 245 322.45 No 0.00 0.00
## 246 23.25 No 0.00 0.00
## 247 4264.4 No 0.00 0.00
## 248 27.5 Yes 45.55 555.20
## 249 1674.2 No 0.00 0.00
## 250 132.7 No 0.00 0.00
## 251 2774.95 No 0.00 0.00
## 252 52.05 No 0.00 0.00
## 253 28.35 No 0.00 0.00
## 254 1.45 No 0.00 0.00
## 255 196.3 Yes 63.35 1720.20
## 256 1874.35 No 0.00 0.00
## 257 1689.2 Yes 45.75 2694.25
## 258 585.05 No 0.00 0.00
## 259 6.2 Yes 38.15 94.60
## 260 17.15 Yes 23.10 84.30
## 261 221.65 No 0.00 0.00
## 262 283.4 No 0.00 0.00
## 263 5.55 No 0.00 0.00
## 264 1418.8 No 0.00 0.00
## 265 72.75 Yes 25.70 361.85
## 266 4560.55 Yes 64.80 4574.45
## 267 212 No 0.00 0.00
## 268 3.85 No 0.00 0.00
## 269 261 Yes 31.35 1362.65
## 270 135.2 No 0.00 0.00
## 271 985 No 0.00 0.00
## 272 4365.7 No 0.00 0.00
## 273 232.95 No 0.00 0.00
## 274 86.1 No 0.00 0.00
## 275 330.05 Yes 39.50 1306.75
## 276 156.8 No 0.00 0.00
## 277 2312.45 Yes 40.95 2887.55
## 278 32.35 Yes 42.95 514.35
## 279 760.95 No 0.00 0.00
## 280 396.85 No 0.00 0.00
## 281 319.1 No 0.00 0.00
## 282 543.6 No 0.00 0.00
## 283 2824.35 Yes 34.95 2437.45
## 284 246.15 No 0.00 0.00
## 285 220.7 No 0.00 0.00
## 286 95.25 No 0.00 0.00
## 287 124 Yes 40.70 1152.90
## 288 41.35 No 0.00 0.00
## 289 109.15 No 0.00 0.00
## 290 889.7 Yes 48.00 2657.80
## 291 499.6 Yes 53.45 2499.90
## 292 123.25 No 0.00 0.00
## 293 484.05 No 0.00 0.00
## 294 677.4 Yes 38.40 1845.55
## 295 696.85 Yes 54.90 3140.20
## 296 24.75 No 0.00 0.00
## 297 98.05 Yes 56.70 963.55
## 298 202.5 Yes 29.15 739.35
## 299 127.45 No 0.00 0.00
## 300 322 Yes 20.30 870.55
## 301 41.4 No 0.00 0.00
## 302 247.25 Yes 36.75 1109.25
## 303 879.6 No 0.00 0.00
## 304 28.2 No 0.00 0.00
## 305 9.75 No 0.00 0.00
## 306 16.8 No 0.00 0.00
## 307 281.05 No 0.00 0.00
## 308 695.05 No 0.00 0.00
## 309 229.95 Yes 41.00 1341.65
## 310 31.9 Yes 29.75 186.30
## 311 46.2 No 0.00 0.00
## 312 225.7 No 0.00 0.00
## 313 416.8 Yes 65.80 2517.35
## 314 169 No 0.00 0.00
## 315 678.15 Yes 43.70 2594.60
## 316 2.6 Yes 48.10 48.10
## 317 184.45 No 0.00 0.00
## 318 1062.5 Yes 39.20 1929.05
## 319 22.55 No 0.00 0.00
## 320 30.7 Yes 57.05 249.25
## 321 77.15 No 0.00 0.00
## 322 2401.75 No 0.00 0.00
## 323 3987.1 No 0.00 0.00
## 324 1422.6 Yes 52.00 2336.35
## 325 804.7 No 0.00 0.00
## 326 340.45 No 0.00 0.00
## 327 17.95 No 0.00 0.00
## 328 2.05 Yes 42.65 42.65
## 329 2197.05 No 0.00 0.00
## 330 457.2 No 0.00 0.00
## 331 484.9 Yes 29.50 1341.25
## 332 2082.6 Yes 37.65 2464.15
## 333 145.15 Yes 17.00 696.60
## 334 444.2 No 0.00 0.00
## 335 940.65 No 0.00 0.00
## 336 971.35 No 0.00 0.00
## 337 26.8 Yes 27.70 135.90
## 338 88.3 No 0.00 0.00
## 339 419.75 Yes 43.15 1177.10
## 340 13.45 No 0.00 0.00
## 341 747.5 No 0.00 0.00
## 342 2995.9 No 0.00 0.00
## 343 1572.15 No 0.00 0.00
## 344 54.95 No 0.00 0.00
## 345 1178 No 0.00 0.00
## 346 1222.85 No 0.00 0.00
## 347 1665.8 No 0.00 0.00
## 348 745.2 No 0.00 0.00
## 349 73.65 No 0.00 0.00
## 350 2096.75 Yes 47.10 3225.25
## 351 1208.45 No 0.00 0.00
## 352 112.6 No 0.00 0.00
## 353 402.75 No 0.00 0.00
## 354 709.45 No 0.00 0.00
## 355 370.45 No 0.00 0.00
## 356 312.15 Yes 33.45 624.50
## 357 429.15 Yes 47.15 2516.90
## 358 140.25 Yes 38.15 1017.75
## 359 83.95 No 0.00 0.00
## 360 52.05 No 0.00 0.00
## 361 771.55 No 0.00 0.00
## 362 306.9 No 0.00 0.00
## 363 1252 No 0.00 0.00
## 364 1426.45 No 0.00 0.00
## 365 817.15 No 0.00 0.00
## 366 409.35 Yes 34.25 1403.70
## 367 2317.75 Yes 39.05 2846.05
## 368 463.95 No 0.00 0.00
## 369 106.5 Yes 25.40 582.80
## 370 1023.95 Yes 24.00 1486.05
## 371 759.5 No 0.00 0.00
## 372 13.2 No 0.00 0.00
## 373 361.75 No 0.00 0.00
## 374 533.9 No 0.00 0.00
## 375 808.35 No 0.00 0.00
## 376 534.2 No 0.00 0.00
## 377 84.25 Yes 29.95 434.20
## 378 5727.95 No 0.00 0.00
## 379 11.5 Yes 18.20 20.05
## 380 52.1 Yes 48.45 455.05
## 381 1139.1 No 0.00 0.00
## 382 278.7 No 0.00 0.00
## 383 105.6 Yes 27.50 432.95
## 384 948.4 Yes 35.65 2049.90
## 385 968.85 No 0.00 0.00
## 386 2724.4 No 0.00 0.00
## 387 572.3 No 0.00 0.00
## 388 14.3 Yes 32.15 140.60
## 389 84.05 Yes 32.85 469.70
## 390 4615.7 No 0.00 0.00
## 391 532.1 No 0.00 0.00
## 392 17.25 No 0.00 0.00
## 393 1379.35 No 0.00 0.00
## 394 181.05 Yes 33.85 1038.45
## 395 399.1 No 0.00 0.00
## 396 97.35 No 0.00 0.00
## 397 661.95 No 0.00 0.00
## 398 45.55 Yes 78.80 568.90
## 399 1993.4 No 0.00 0.00
## 400 698.05 No 0.00 0.00
## 401 92.75 No 0.00 0.00
## 402 1133.25 Yes 45.45 2765.15
## 403 443.8 Yes 52.40 2222.40
## 404 7.35 No 0.00 0.00
## 405 1768.15 No 0.00 0.00
## 406 89.85 Yes 56.00 711.00
## 407 70.35 Yes 26.35 290.35
## 408 53.6 Yes 28.55 339.75
## 409 1870.15 No 0.00 0.00
## 410 180.75 No 0.00 0.00
## 411 415.6 Yes 38.40 1732.45
## 412 932.35 No 0.00 0.00
## 413 1079.15 No 0.00 0.00
## 414 1960.8 No 0.00 0.00
## 415 662.7 No 0.00 0.00
## 416 72.45 Yes 29.90 216.95
## 417 648.6 Yes 46.60 1990.95
## 418 55.75 Yes 33.30 438.65
## 419 386.3 No 0.00 0.00
## 420 195.95 No 0.00 0.00
## 421 183.6 Yes 22.85 595.95
## 422 187.6 No 0.00 0.00
## 423 4869.05 No 0.00 0.00
## 424 1617.85 No 0.00 0.00
## 425 282.55 Yes 49.85 2478.60
## 426 1416.3 Yes 47.30 2601.75
## 427 176.35 No 0.00 0.00
## 428 679.25 No 0.00 0.00
## 429 73.7 No 0.00 0.00
## 430 1210.3 Yes 38.95 2577.95
## 431 233.5 No 0.00 0.00
## 432 966.75 No 0.00 0.00
## 433 14.7 Yes 38.15 162.35
## 434 1750.15 No 0.00 0.00
## 435 9.9 Yes 22.70 51.45
## 436 13.05 No 0.00 0.00
## 437 166.75 No 0.00 0.00
## 438 165.25 Yes 29.60 521.10
## 439 448.05 Yes 33.45 1450.20
## 440 16.05 Yes 50.45 179.95
## 441 489.7 Yes 64.30 3006.30
## 442 45.35 Yes 32.40 342.95
## 443 116.8 Yes 35.80 463.60
## 444 106.25 Yes 22.55 324.50
## 445 711.55 No 0.00 0.00
## 446 200.65 Yes 37.95 749.75
## 447 1925.05 No 0.00 0.00
## 448 6307.4 No 0.00 0.00
## 449 82.5 Yes 29.55 195.85
## 450 3031.9 No 0.00 0.00
## 451 914.25 No 0.00 0.00
## 452 15.4 Yes 25.05 80.75
## 453 254.85 No 0.00 0.00
## 454 560.05 No 0.00 0.00
## 455 341.9 No 0.00 0.00
## 456 52.1 No 0.00 0.00
## 457 255.4 Yes 33.70 1034.15
## 458 2082.7 No 0.00 0.00
## 459 488.95 Yes 35.20 1231.50
## 460 50.95 No 0.00 0.00
## 461 0.9 Yes 18.90 18.90
## 462 925.05 No 0.00 0.00
## 463 11.25 No 0.00 0.00
## 464 270.2 Yes 38.25 818.30
## 465 238.95 Yes 35.35 831.30
## 466 432.6 No 0.00 0.00
## 467 2843.8 No 0.00 0.00
## 468 3658.8 No 0.00 0.00
## 469 1361.35 No 0.00 0.00
## 470 860.4 Yes 45.05 2917.60
## 471 685.7 No 0.00 0.00
## 472 1788.6 Yes 47.80 2943.15
## 473 90.25 No 0.00 0.00
## 474 2326.95 Yes 54.95 3481.05
## 475 1231.5 No 0.00 0.00
## 476 1965.75 No 0.00 0.00
## 477 1758.85 No 0.00 0.00
## 478 449.75 Yes 34.35 1328.25
## 479 2969.35 Yes 45.25 3080.80
## 480 55.4 Yes 42.80 314.40
## 481 16.65 Yes 47.45 176.05
## 482 16.8 Yes 31.45 286.65
## 483 5474.25 No 0.00 0.00
## 484 13.3 No 0.00 0.00
## 485 79.3 No 0.00 0.00
## 486 449.05 No 0.00 0.00
## 487 40.2 No 0.00 0.00
## 488 30.85 Yes 39.25 217.80
## 489 1356.1 No 0.00 0.00
## 490 448.15 Yes 41.05 2038.10
## 491 608 No 0.00 0.00
## 492 659.4 Yes 34.65 1974.80
## 493 948.15 No 0.00 0.00
## 494 637.95 Yes 48.95 2727.00
## 495 403.5 No 0.00 0.00
## 496 3677.4 No 0.00 0.00
## 497 277.75 No 0.00 0.00
## 498 540.2 Yes 31.95 1641.55
## 499 650 No 0.00 0.00
## 500 288.4 No 0.00 0.00
## 501 6.55 No 0.00 0.00
## 502 41.35 Yes 32.05 527.55
## 503 262.75 No 0.00 0.00
## 504 587.25 No 0.00 0.00
## 505 96.9 Yes 48.95 822.55
## 506 410.85 Yes 21.30 860.90
## 507 3464.2 Yes 38.15 2705.95
## 508 905.35 Yes 37.95 2001.20
## 509 986.2 Yes 54.90 3293.35
## 510 219.95 No 0.00 0.00
## 511 1457 No 0.00 0.00
## 512 2984.55 Yes 45.40 3049.85
## 513 590.15 Yes 37.40 1739.90
## 514 228.75 No 0.00 0.00
## 515 1577.95 No 0.00 0.00
## 516 629.85 No 0.00 0.00
## 517 1008.45 No 0.00 0.00
## 518 100.45 No 0.00 0.00
## 519 388.45 No 0.00 0.00
## 520 3957.2 Yes 43.35 3062.50
## 521 133.9 No 0.00 0.00
## 522 83.45 No 0.00 0.00
## 523 1929.6 Yes 21.90 1304.40
## 524 901.5 No 0.00 0.00
## 525 700.8 No 0.00 0.00
## 526 324.85 Yes 38.25 1266.70
## 527 2339.2 No 0.00 0.00
## 528 353.5 Yes 24.15 911.30
## 529 65.95 No 0.00 0.00
## 530 273.05 Yes 68.60 2159.95
## 531 49.55 Yes 30.00 173.35
## 532 99.1 Yes 25.60 669.85
## 533 8.45 No 0.00 0.00
## 534 527.2 Yes 43.40 1958.30
## 535 2357.4 No 0.00 0.00
## 536 839.95 No 0.00 0.00
## 537 1366.85 No 0.00 0.00
## 538 125.35 Yes 40.65 750.50
## 539 1164 Yes 35.70 2384.80
## 540 158.6 No 0.00 0.00
## 541 1084.75 No 0.00 0.00
## 542 32.55 No 0.00 0.00
## 543 422.15 No 0.00 0.00
## 544 1072.65 No 0.00 0.00
## 545 2471.05 No 0.00 0.00
## 546 578.55 No 0.00 0.00
## 547 68.35 No 0.00 0.00
## 548 271.95 Yes 37.20 1410.60
## 549 225.15 Yes 30.35 937.40
## 550 86.35 Yes 32.05 639.55
## 551 2488.25 No 0.00 0.00
## 552 98.3 Yes 40.30 1055.10
## 553 915.15 No 0.00 0.00
## 554 1484.5 Yes 58.30 4004.15
## 555 165.3 No 0.00 0.00
## 556 882.4 Yes 37.60 2070.25
## 557 24.4 No 0.00 0.00
## 558 107.8 No 0.00 0.00
## 559 333.25 Yes 24.40 927.70
## 560 168.4 Yes 30.80 675.75
## 561 647.25 No 0.00 0.00
## 562 538.85 Yes 21.15 657.85
## 563 1943.25 No 0.00 0.00
## 564 1096.6 No 0.00 0.00
## 565 123.25 No 0.00 0.00
## 566 99.7 No 0.00 0.00
## 567 349.35 No 0.00 0.00
## 568 1.9 No 0.00 0.00
## 569 592.6 No 0.00 0.00
## 570 265.25 Yes 37.65 1111.15
## 571 158.9 No 0.00 0.00
## 572 106.45 No 0.00 0.00
## 573 1326.3 Yes 45.30 3101.60
## 574 1555.95 No 0.00 0.00
## 575 1672.25 No 0.00 0.00
## 576 318.7 Yes 63.00 3350.90
## 577 527.75 Yes 30.50 1526.50
## 578 721.75 No 0.00 0.00
## 579 156.4 Yes 34.55 713.60
## 580 559.5 No 0.00 0.00
## 581 2596.6 Yes 44.70 3208.00
## 582 1058.75 Yes 48.45 3276.10
## 583 1443.95 No 0.00 0.00
## 584 2.25 Yes 31.55 31.55
## 585 9.3 Yes 36.80 135.30
## 586 75.55 No 0.00 0.00
## 587 4010.7 No 0.00 0.00
## 588 82.3 Yes 28.40 606.00
## 589 568.45 No 0.00 0.00
## 590 29.45 No 0.00 0.00
## 591 12.05 Yes 25.15 58.30
## 592 1318.5 No 0.00 0.00
## 593 462.55 No 0.00 0.00
## 594 59.6 No 0.00 0.00
## 595 442.2 No 0.00 0.00
## 596 359.25 No 0.00 0.00
## 597 798.4 No 0.00 0.00
## 598 108.2 No 0.00 0.00
## 599 201.3 No 0.00 0.00
## 600 59.65 No 0.00 0.00
## 601 180.8 No 0.00 0.00
## 602 389.15 Yes 49.15 2398.50
## 603 1087.1 No 0.00 0.00
## 604 29.25 Yes 34.30 92.55
## 605 1932.7 No 0.00 0.00
## 606 63.8 Yes 28.85 236.80
## 607 45.6 No 0.00 0.00
## 608 978.4 No 0.00 0.00
## 609 290.25 No 0.00 0.00
## 610 172 Yes 41.40 694.10
## 611 204.45 No 0.00 0.00
## 612 1690.25 No 0.00 0.00
## 613 1229.15 No 0.00 0.00
## 614 485.7 No 0.00 0.00
## 615 1.15 Yes 28.60 28.60
## 616 2069.95 No 0.00 0.00
## 617 185.7 No 0.00 0.00
## 618 61.3 No 0.00 0.00
## 619 481.65 Yes 79.45 3586.25
## 620 1307.25 No 0.00 0.00
## 621 39.2 No 0.00 0.00
## 622 97.7 Yes 44.60 699.70
## 623 397 No 0.00 0.00
## 624 329.85 Yes 34.20 1269.05
## 625 195.85 Yes 33.05 772.70
## 626 2635.15 No 0.00 0.00
## 627 844.9 No 0.00 0.00
## 628 1681.4 No 0.00 0.00
## 629 618.4 No 0.00 0.00
## 630 70.4 Yes 29.10 287.15
## 631 2407 Yes 51.10 3597.95
## 632 480.9 No 0.00 0.00
## 633 567.5 Yes 75.40 2901.70
## 634 706.1 No 0.00 0.00
## 635 37.6 Yes 37.40 492.05
## 636 1139.15 No 0.00 0.00
## 637 2100.55 Yes 55.25 3659.05
## 638 283.8 No 0.00 0.00
## 639 375.95 Yes 41.65 1201.75
## 640 582.15 No 0.00 0.00
## 641 271.85 No 0.00 0.00
## 642 22.2 No 0.00 0.00
## 643 127.7 No 0.00 0.00
## 644 149.5 Yes 32.50 1009.00
## 645 198.75 Yes 47.20 1628.85
## 646 33.75 Yes 40.85 289.85
## 647 3883.35 No 0.00 0.00
## 648 1556.3 No 0.00 0.00
## 649 604.55 Yes 67.15 3679.45
## 650 256.3 No 0.00 0.00
## 651 84.75 Yes 32.40 433.30
## 652 2380.75 No 0.00 0.00
## 653 2207.9 No 0.00 0.00
## 654 112.6 Yes 24.15 629.40
## 655 101.4 No 0.00 0.00
## 656 501 No 0.00 0.00
## 657 13.15 Yes 33.20 25.45
## 658 418.8 Yes 25.25 1109.20
## 659 516.45 Yes 45.50 2184.05
## 660 448.5 Yes 36.20 2190.05
## 661 29.7 No 0.00 0.00
## 662 247.45 No 0.00 0.00
## 663 341.5 Yes 35.35 1370.00
## 664 516.55 Yes 33.15 1418.20
## 665 82.15 No 0.00 0.00
## 666 866.5 No 0.00 0.00
## 667 3064.25 No 0.00 0.00
## 668 516.35 Yes 46.20 1861.60
## 669 1717.05 No 0.00 0.00
## 670 338.15 Yes 26.60 822.85
## 671 142.95 Yes 36.55 942.20
## 672 195.4 Yes 47.65 1012.05
## 673 467.55 No 0.00 0.00
## 674 556.6 Yes 23.35 1377.75
## 675 776.55 Yes 53.55 3343.90
## 676 42.65 Yes 21.80 155.80
## 677 249.95 No 0.00 0.00
## 678 466.95 Yes 63.60 2560.80
## 679 454.15 No 0.00 0.00
## 680 634.4 No 0.00 0.00
## 681 77.3 No 0.00 0.00
## 682 582.15 No 0.00 0.00
## 683 172.5 No 0.00 0.00
## 684 114.7 Yes 30.45 595.55
## 685 234.65 No 0.00 0.00
## 686 3635.15 No 0.00 0.00
## 687 1124.4 No 0.00 0.00
## 688 45.1 No 0.00 0.00
## 689 13.2 No 0.00 0.00
## 690 858.6 No 0.00 0.00
## 691 761.75 No 0.00 0.00
## 692 340.25 No 0.00 0.00
## 693 40.75 No 0.00 0.00
## 694 191.7 Yes 30.05 596.30
## 695 303.8 Yes 32.55 1531.25
## 696 450.3 No 0.00 0.00
## 697 158.65 Yes 34.25 835.55
## 698 1290.8 No 0.00 0.00
## 699 758.8 No 0.00 0.00
## 700 3407.55 No 0.00 0.00
## 701 96.1 Yes 33.10 588.80
## 702 140.2 No 0.00 0.00
## 703 2.95 Yes 22.10 22.10
## 704 3.75 Yes 26.50 14.85
## 705 476.45 No 0.00 0.00
## 706 1336.05 No 0.00 0.00
## 707 1746.4 No 0.00 0.00
## 708 1461.55 Yes 53.05 3517.15
## 709 306.4 Yes 33.15 743.65
## 710 374.7 Yes 57.25 2092.50
## 711 2.3 No 0.00 0.00
## 712 27.65 No 0.00 0.00
## 713 2 No 0.00 0.00
## 714 626.85 No 0.00 0.00
## 715 140.15 No 0.00 0.00
## 716 1594.3 No 0.00 0.00
## 717 1838.25 No 0.00 0.00
## 718 896.45 No 0.00 0.00
## 719 6728.75 Yes 38.90 2724.30
## 720 49.6 No 0.00 0.00
## 721 1960.4 No 0.00 0.00
## 722 2029.9 No 0.00 0.00
## 723 342.4 No 0.00 0.00
## 724 168.55 No 0.00 0.00
## 725 537.7 Yes 36.35 1586.70
## 726 36.3 Yes 29.00 212.85
## 727 158.05 Yes 28.20 812.95
## 728 1697.85 No 0.00 0.00
## 729 445.2 No 0.00 0.00
## 730 1.9 Yes 31.40 31.40
## 731 364.4 No 0.00 0.00
## 732 88 No 0.00 0.00
## 733 364.55 Yes 40.85 1944.40
## 734 918.05 No 0.00 0.00
## 735 7.7 No 0.00 0.00
## 736 834.4 No 0.00 0.00
## 737 651.8 Yes 34.55 1383.00
## 738 233 No 0.00 0.00
## 739 166.7 No 0.00 0.00
## 740 734.1 No 0.00 0.00
## 741 511.2 No 0.00 0.00
## 742 233.7 Yes 45.10 873.80
## 743 458.45 No 0.00 0.00
## 744 252.4 No 0.00 0.00
## 745 234.8 Yes 34.60 1160.50
## 746 286.95 Yes 45.00 1422.40
## 747 25.3 No 0.00 0.00
## 748 223.95 No 0.00 0.00
## 749 71.75 No 0.00 0.00
## 750 1679.65 No 0.00 0.00
## 751 3257.25 No 0.00 0.00
## 752 619.15 No 0.00 0.00
## 753 14.3 Yes 38.35 268.15
## 754 31.2 No 0.00 0.00
## 755 1590.7 No 0.00 0.00
## 756 1171.15 No 0.00 0.00
## 757 266.15 No 0.00 0.00
## 758 549.5 Yes 36.15 2260.25
## 759 261.9 Yes 32.30 952.65
## 760 643.45 No 0.00 0.00
## 761 28.65 Yes 26.60 69.75
## 762 255.2 No 0.00 0.00
## 763 2450.9 Yes 36.50 2551.65
## 764 205.35 No 0.00 0.00
## 765 1089.1 Yes 38.95 2197.20
## 766 118.55 No 0.00 0.00
## 767 477.35 Yes 30.15 1312.65
## 768 367.85 No 0.00 0.00
## 769 57 No 0.00 0.00
## 770 1878.7 Yes 49.40 3222.55
## 771 114 No 0.00 0.00
## 772 393.5 Yes 54.25 2386.35
## 773 93.35 Yes 68.35 1460.25
## 774 779.55 Yes 30.85 1496.70
## 775 38.2 Yes 39.65 266.05
## 776 15.6 No 0.00 0.00
## 777 476.8 Yes 53.05 1589.30
## 778 79.5 No 0.00 0.00
## 779 619 No 0.00 0.00
## 780 1098 No 0.00 0.00
## 781 58.8 No 0.00 0.00
## 782 411.6 No 0.00 0.00
## 783 59.65 No 0.00 0.00
## 784 70.3 Yes 26.35 328.75
## 785 134.95 No 0.00 0.00
## 786 21.45 No 0.00 0.00
## 787 71.9 No 0.00 0.00
## 788 500.3 Yes 43.25 1842.00
## 789 179.75 Yes 38.30 968.95
## 790 103.4 Yes 41.95 504.85
## 791 846.15 No 0.00 0.00
## 792 18.6 Yes 24.30 112.90
## 793 230.15 No 0.00 0.00
## 794 763.75 No 0.00 0.00
## 795 313.25 No 0.00 0.00
## 796 3351.6 No 0.00 0.00
## 797 1847.45 Yes 31.20 2047.65
## 798 493.3 No 0.00 0.00
## 799 31 No 0.00 0.00
## 800 1525.8 No 0.00 0.00
## 801 592.7 Yes 37.45 1852.95
## 802 1793.05 No 0.00 0.00
## 803 644.1 No 0.00 0.00
## 804 1228.95 Yes 41.30 2358.25
## 805 226.7 No 0.00 0.00
## 806 323.7 No 0.00 0.00
## 807 24.35 No 0.00 0.00
## 808 82.5 Yes 34.65 696.95
## 809 47.7 No 0.00 0.00
## 810 69.65 No 0.00 0.00
## 811 165.75 No 0.00 0.00
## 812 1234.35 Yes 34.25 1686.70
## 813 14.45 Yes 42.20 235.00
## 814 119.1 No 0.00 0.00
## 815 472.7 No 0.00 0.00
## 816 906.3 No 0.00 0.00
## 817 453.35 No 0.00 0.00
## 818 311.9 No 0.00 0.00
## 819 1420.7 No 0.00 0.00
## 820 878.8 No 0.00 0.00
## 821 2516.25 Yes 32.80 2398.65
## 822 2161.85 No 0.00 0.00
## 823 283.8 No 0.00 0.00
## 824 161.85 No 0.00 0.00
## 825 39.85 No 0.00 0.00
## 826 1155.2 No 0.00 0.00
## 827 1091.55 No 0.00 0.00
## 828 323.35 No 0.00 0.00
## 829 297.7 No 0.00 0.00
## 830 351.7 No 0.00 0.00
## 831 194.45 Yes 23.30 644.95
## 832 437.5 No 0.00 0.00
## 833 2075.55 No 0.00 0.00
## 834 260.5 No 0.00 0.00
## 835 47.55 No 0.00 0.00
## 836 250.8 Yes 37.45 1572.20
## 837 524.9 No 0.00 0.00
## 838 438.4 No 0.00 0.00
## 839 53.55 No 0.00 0.00
## 840 331.35 Yes 37.90 1981.85
## 841 424.1 Yes 52.25 2355.30
## 842 #NULL! No 0.00 0.00
## 843 242.5 Yes 32.65 706.55
## 844 234.6 Yes 27.75 808.25
## 845 40.85 Yes 34.90 317.70
## 846 307.8 No 0.00 0.00
## 847 219.4 No 0.00 0.00
## 848 281 No 0.00 0.00
## 849 581.85 Yes 58.80 2283.70
## 850 6.5 Yes 24.85 47.85
## 851 2180 Yes 44.55 3139.25
## 852 760.45 Yes 27.10 1582.25
## 853 417.6 No 0.00 0.00
## 854 57.85 No 0.00 0.00
## 855 8.25 Yes 26.30 39.10
## 856 71.6 No 0.00 0.00
## 857 157.35 Yes 40.30 959.20
## 858 147.65 No 0.00 0.00
## 859 531.35 No 0.00 0.00
## 860 1854.4 No 0.00 0.00
## 861 635.4 No 0.00 0.00
## 862 84.5 No 0.00 0.00
## 863 39.9 No 0.00 0.00
## 864 1203 No 0.00 0.00
## 865 1362.4 Yes 42.40 2475.70
## 866 790.65 No 0.00 0.00
## 867 52.1 Yes 25.70 226.70
## 868 169.25 Yes 30.70 351.70
## 869 868.2 No 0.00 0.00
## 870 463.2 Yes 63.55 2518.45
## 871 132.9 No 0.00 0.00
## 872 324.6 No 0.00 0.00
## 873 88.65 No 0.00 0.00
## 874 39.85 No 0.00 0.00
## 875 20.7 No 0.00 0.00
## 876 2201.75 No 0.00 0.00
## 877 1703.25 Yes 38.00 2344.25
## 878 137.5 No 0.00 0.00
## 879 176.85 No 0.00 0.00
## 880 966.7 No 0.00 0.00
## 881 469.75 No 0.00 0.00
## 882 130.4 No 0.00 0.00
## 883 190.6 No 0.00 0.00
## 884 267.2 No 0.00 0.00
## 885 71.8 Yes 54.75 777.75
## 886 426.15 No 0.00 0.00
## 887 931.35 No 0.00 0.00
## 888 702.1 No 0.00 0.00
## 889 1205.85 No 0.00 0.00
## 890 178.15 No 0.00 0.00
## 891 383.75 No 0.00 0.00
## 892 155 No 0.00 0.00
## 893 1087.55 Yes 36.50 1403.40
## 894 83.3 Yes 32.90 423.50
## 895 566 No 0.00 0.00
## 896 230.3 Yes 46.45 1256.35
## 897 162.65 No 0.00 0.00
## 898 4849.75 No 0.00 0.00
## 899 457.3 No 0.00 0.00
## 900 1274.95 Yes 59.70 4254.75
## 901 1100.35 Yes 35.25 2353.55
## 902 69.45 Yes 28.35 224.70
## 903 445.55 Yes 41.30 1683.30
## 904 243.8 Yes 32.35 1163.25
## 905 232.05 No 0.00 0.00
## 906 195.9 No 0.00 0.00
## 907 116.95 Yes 33.00 867.20
## 908 847.95 No 0.00 0.00
## 909 1820.05 No 0.00 0.00
## 910 2053.75 No 0.00 0.00
## 911 14.95 Yes 23.65 101.05
## 912 221.55 Yes 37.15 1030.65
## 913 171.85 No 0.00 0.00
## 914 261.7 Yes 22.15 806.15
## 915 1560.55 No 0.00 0.00
## 916 457.6 No 0.00 0.00
## 917 395.15 Yes 29.85 936.05
## 918 114.05 Yes 39.35 594.15
## 919 287 No 0.00 0.00
## 920 169.8 Yes 24.80 747.30
## 921 381 Yes 46.20 2151.25
## 922 207.6 Yes 34.25 572.85
## 923 724.75 No 0.00 0.00
## 924 712.35 No 0.00 0.00
## 925 92.4 No 0.00 0.00
## 926 453.15 No 0.00 0.00
## 927 1797.85 No 0.00 0.00
## 928 308.9 Yes 41.30 1498.40
## 929 72.8 Yes 33.05 408.95
## 930 1556.35 No 0.00 0.00
## 931 351.95 No 0.00 0.00
## 932 235.9 Yes 40.65 1769.95
## 933 1638.75 Yes 33.35 2188.45
## 934 1043.35 No 0.00 0.00
## 935 1384.5 No 0.00 0.00
## 936 187.05 No 0.00 0.00
## 937 78.9 No 0.00 0.00
## 938 4290.7 No 0.00 0.00
## 939 0.9 No 0.00 0.00
## 940 233.75 Yes 29.15 929.00
## 941 292.9 No 0.00 0.00
## 942 181.6 No 0.00 0.00
## 943 2315.45 No 0.00 0.00
## 944 15.5 No 0.00 0.00
## 945 1282.4 No 0.00 0.00
## 946 248.65 Yes 31.50 996.80
## 947 29.5 No 0.00 0.00
## 948 107.15 No 0.00 0.00
## 949 665.85 No 0.00 0.00
## 950 3213.2 No 0.00 0.00
## 951 20.6 No 0.00 0.00
## 952 123.6 No 0.00 0.00
## 953 212.85 No 0.00 0.00
## 954 495.25 Yes 32.75 1147.35
## 955 289.35 Yes 30.55 602.35
## 956 417.7 Yes 59.05 2623.95
## 957 2221.6 Yes 47.80 3274.55
## 958 354.25 Yes 41.35 1069.25
## 959 620.3 No 0.00 0.00
## 960 131.6 No 0.00 0.00
## 961 880.25 Yes 38.40 2246.05
## 962 75.95 Yes 55.80 843.15
## 963 933.65 Yes 27.80 1462.10
## 964 62.8 Yes 31.40 320.35
## 965 1143.2 No 0.00 0.00
## 966 28 No 0.00 0.00
## 967 529.95 No 0.00 0.00
## 968 569.85 Yes 32.30 1081.25
## 969 44.4 No 0.00 0.00
## 970 955.8 No 0.00 0.00
## 971 1641.35 No 0.00 0.00
## 972 131.3 Yes 39.35 507.65
## 973 1461.6 No 0.00 0.00
## 974 57.2 No 0.00 0.00
## 975 305.5 No 0.00 0.00
## 976 910.95 Yes 43.00 2490.40
## 977 410.05 Yes 27.90 976.45
## 978 2.4 No 0.00 0.00
## 979 317.2 No 0.00 0.00
## 980 911.85 Yes 48.80 2297.55
## 981 1067.95 No 0.00 0.00
## 982 634.65 No 0.00 0.00
## 983 231.4 Yes 64.45 1533.45
## 984 44.75 No 0.00 0.00
## 985 102.15 Yes 21.35 454.65
## 986 948.4 No 0.00 0.00
## 987 228.95 No 0.00 0.00
## 988 104.15 Yes 31.65 408.90
## 989 32.45 No 0.00 0.00
## 990 2613.15 Yes 42.90 2845.75
## 991 4268.65 No 0.00 0.00
## 992 2768.7 No 0.00 0.00
## 993 633.25 No 0.00 0.00
## 994 839.35 No 0.00 0.00
## 995 36.85 No 0.00 0.00
## 996 801.8 No 0.00 0.00
## 997 650.3 Yes 54.60 2692.95
## 998 857 No 0.00 0.00
## 999 1.85 No 0.00 0.00
## 1000 63.95 Yes 22.60 287.55
## 1001 212.1 Yes 34.90 1107.00
## 1002 594.2 Yes 28.30 1648.95
## 1003 275.55 No 0.00 0.00
## 1004 69.5 Yes 28.10 329.90
## 1005 2380.45 No 0.00 0.00
## 1006 380.85 Yes 33.05 1629.90
## 1007 13.55 No 0.00 0.00
## 1008 1476.35 No 0.00 0.00
## 1009 65.4 No 0.00 0.00
## 1010 3.05 Yes 23.75 23.75
## 1011 201.65 No 0.00 0.00
## 1012 443.55 No 0.00 0.00
## 1013 2030.2 Yes 73.90 5060.05
## 1014 1162.7 Yes 24.50 1399.00
## 1015 433.6 No 0.00 0.00
## 1016 1414.75 No 0.00 0.00
## 1017 757.55 No 0.00 0.00
## 1018 2231.4 No 0.00 0.00
## 1019 2428.2 Yes 38.05 2590.55
## 1020 2.55 No 0.00 0.00
## 1021 2003.75 No 0.00 0.00
## 1022 961.25 No 0.00 0.00
## 1023 26.95 Yes 29.25 115.85
## 1024 203.5 Yes 45.65 1703.10
## 1025 194 Yes 34.75 768.30
## 1026 463.7 No 0.00 0.00
## 1027 164.45 No 0.00 0.00
## 1028 54.2 No 0.00 0.00
## 1029 1187.55 Yes 45.00 3092.85
## 1030 1004.1 No 0.00 0.00
## 1031 203.85 No 0.00 0.00
## 1032 73.35 Yes 21.10 208.30
## 1033 506.75 No 0.00 0.00
## 1034 163.6 No 0.00 0.00
## 1035 798.3 No 0.00 0.00
## 1036 2531.15 No 0.00 0.00
## 1037 650.8 Yes 33.00 1406.70
## 1038 1506.75 No 0.00 0.00
## 1039 154.65 No 0.00 0.00
## 1040 132.4 Yes 32.30 627.55
## 1041 420.95 No 0.00 0.00
## 1042 1186.2 Yes 52.00 3505.50
## 1043 1133.35 No 0.00 0.00
## 1044 222.6 Yes 26.20 411.80
## 1045 69.5 No 0.00 0.00
## 1046 1343.35 No 0.00 0.00
## 1047 2074.5 No 0.00 0.00
## 1048 14.15 Yes 27.20 114.20
## 1049 147.95 No 0.00 0.00
## 1050 1099.65 No 0.00 0.00
## 1051 3.3 Yes 31.10 31.10
## 1052 58.1 No 0.00 0.00
## 1053 771.55 No 0.00 0.00
## 1054 24.8 Yes 24.50 122.80
## 1055 851.25 No 0.00 0.00
## 1056 832.25 Yes 35.00 2248.55
## 1057 1203.8 No 0.00 0.00
## 1058 30.75 No 0.00 0.00
## 1059 16.45 No 0.00 0.00
## 1060 1355.3 Yes 46.90 2778.40
## 1061 83.45 Yes 46.70 578.60
## 1062 826.6 No 0.00 0.00
## 1063 243.4 Yes 46.20 1185.55
## 1064 473.55 Yes 23.35 824.30
## 1065 1673.05 Yes 94.10 6525.30
## 1066 430.95 No 0.00 0.00
## 1067 441.65 No 0.00 0.00
## 1068 231.55 Yes 36.80 1506.25
## 1069 140.6 No 0.00 0.00
## 1070 162.45 No 0.00 0.00
## 1071 143.4 No 0.00 0.00
## 1072 625.45 No 0.00 0.00
## 1073 77.9 Yes 40.40 561.35
## 1074 18.25 No 0.00 0.00
## 1075 24.8 No 0.00 0.00
## 1076 258.35 Yes 34.15 1143.05
## 1077 49.3 No 0.00 0.00
## 1078 965.35 No 0.00 0.00
## 1079 3.45 Yes 37.15 30.60
## 1080 708.55 No 0.00 0.00
## 1081 154.65 Yes 34.90 609.35
## 1082 66.65 Yes 27.75 258.10
## 1083 55.65 Yes 27.30 248.45
## 1084 178.65 Yes 43.75 925.10
## 1085 2021.4 Yes 36.35 2403.65
## 1086 269.7 No 0.00 0.00
## 1087 604.15 No 0.00 0.00
## 1088 345.85 No 0.00 0.00
## 1089 474.75 No 0.00 0.00
## 1090 660 No 0.00 0.00
## 1091 288.4 No 0.00 0.00
## 1092 137.3 Yes 43.20 629.90
## 1093 370.95 No 0.00 0.00
## 1094 5639.45 Yes 56.50 3833.30
## 1095 2046.65 No 0.00 0.00
## 1096 1465.8 No 0.00 0.00
## 1097 11.65 Yes 25.60 50.90
## 1098 127.9 No 0.00 0.00
## 1099 454.6 Yes 37.35 1567.40
## 1100 19 No 0.00 0.00
## 1101 1868.7 Yes 28.05 1972.55
## 1102 927.3 No 0.00 0.00
## 1103 3393.1 No 0.00 0.00
## 1104 1861.8 No 0.00 0.00
## 1105 0.95 No 0.00 0.00
## 1106 1985.75 No 0.00 0.00
## 1107 34.55 Yes 23.85 319.60
## 1108 704.35 No 0.00 0.00
## 1109 651.6 No 0.00 0.00
## 1110 4.8 Yes 36.50 20.85
## 1111 4345 No 0.00 0.00
## 1112 1016.4 Yes 50.65 2522.50
## 1113 1297.95 No 0.00 0.00
## 1114 1395.65 No 0.00 0.00
## 1115 961.85 No 0.00 0.00
## 1116 1469.15 No 0.00 0.00
## 1117 15.6 No 0.00 0.00
## 1118 1388.55 No 0.00 0.00
## 1119 8.3 No 0.00 0.00
## 1120 758.65 No 0.00 0.00
## 1121 2335.35 Yes 53.30 3707.45
## 1122 73.25 Yes 30.60 321.10
## 1123 3.1 No 0.00 0.00
## 1124 535.15 No 0.00 0.00
## 1125 608.1 Yes 28.95 1581.70
## 1126 47.4 No 0.00 0.00
## 1127 79.4 No 0.00 0.00
## 1128 199.7 No 0.00 0.00
## 1129 166.25 No 0.00 0.00
## 1130 1976.5 No 0.00 0.00
## 1131 347.55 No 0.00 0.00
## 1132 1.4 No 0.00 0.00
## 1133 106.6 No 0.00 0.00
## 1134 51.05 No 0.00 0.00
## 1135 649.25 Yes 42.20 2007.55
## 1136 184.35 No 0.00 0.00
## 1137 312.2 No 0.00 0.00
## 1138 110.7 No 0.00 0.00
## 1139 5.7 No 0.00 0.00
## 1140 186.9 No 0.00 0.00
## 1141 1526.65 No 0.00 0.00
## 1142 175.65 No 0.00 0.00
## 1143 1518.15 Yes 40.70 2738.00
## 1144 970.85 No 0.00 0.00
## 1145 1574.7 Yes 26.35 1722.85
## 1146 628.85 Yes 58.95 3601.80
## 1147 101.3 Yes 27.55 332.30
## 1148 1695.6 Yes 46.35 3182.15
## 1149 23.75 No 0.00 0.00
## 1150 878.9 No 0.00 0.00
## 1151 512.6 No 0.00 0.00
## 1152 126.7 No 0.00 0.00
## 1153 6988.55 No 0.00 0.00
## 1154 85.2 No 0.00 0.00
## 1155 3183.45 No 0.00 0.00
## 1156 1.85 Yes 36.80 36.80
## 1157 503.05 No 0.00 0.00
## 1158 301.95 No 0.00 0.00
## 1159 395.15 No 0.00 0.00
## 1160 302 No 0.00 0.00
## 1161 433 Yes 58.25 2478.15
## 1162 3.55 No 0.00 0.00
## 1163 379.4 No 0.00 0.00
## 1164 712.5 Yes 34.85 1476.30
## 1165 42.05 No 0.00 0.00
## 1166 207.85 Yes 26.75 846.75
## 1167 23.5 No 0.00 0.00
## 1168 89.05 Yes 24.55 375.15
## 1169 1352 No 0.00 0.00
## 1170 748.45 Yes 31.95 1572.05
## 1171 2.8 No 0.00 0.00
## 1172 1539.95 No 0.00 0.00
## 1173 434.4 No 0.00 0.00
## 1174 526.15 No 0.00 0.00
## 1175 127.9 Yes 23.05 378.50
## 1176 3460.05 No 0.00 0.00
## 1177 47.5 Yes 29.30 104.55
## 1178 611.2 No 0.00 0.00
## 1179 450.5 No 0.00 0.00
## 1180 382.45 No 0.00 0.00
## 1181 45.55 Yes 25.35 413.75
## 1182 1477.35 Yes 42.65 2655.90
## 1183 29.6 Yes 42.55 368.40
## 1184 277.85 No 0.00 0.00
## 1185 17.05 Yes 26.10 131.85
## 1186 610.7 No 0.00 0.00
## 1187 154.5 Yes 28.10 637.50
## 1188 2.6 No 0.00 0.00
## 1189 692.9 No 0.00 0.00
## 1190 332.05 No 0.00 0.00
## 1191 39.7 No 0.00 0.00
## 1192 131.95 No 0.00 0.00
## 1193 541.35 No 0.00 0.00
## 1194 275.7 Yes 35.95 1270.40
## 1195 280.85 No 0.00 0.00
## 1196 1445.7 No 0.00 0.00
## 1197 176.45 Yes 34.90 849.05
## 1198 126 No 0.00 0.00
## 1199 15.05 No 0.00 0.00
## 1200 3.15 No 0.00 0.00
## 1201 536.9 No 0.00 0.00
## 1202 3157.25 No 0.00 0.00
## 1203 1368.65 No 0.00 0.00
## 1204 894.1 Yes 32.25 2092.80
## 1205 72.5 No 0.00 0.00
## 1206 682.65 No 0.00 0.00
## 1207 118.85 No 0.00 0.00
## 1208 31.4 Yes 28.20 222.00
## 1209 586.65 No 0.00 0.00
## 1210 48.4 No 0.00 0.00
## 1211 84.9 Yes 19.60 345.25
## 1212 1552 No 0.00 0.00
## 1213 277.45 No 0.00 0.00
## 1214 1209.45 Yes 75.50 5119.85
## 1215 297.6 No 0.00 0.00
## 1216 1.1 No 0.00 0.00
## 1217 1.75 Yes 26.95 26.95
## 1218 1868.8 No 0.00 0.00
## 1219 816.6 No 0.00 0.00
## 1220 52.15 Yes 33.40 309.70
## 1221 146.9 Yes 30.15 662.85
## 1222 38.35 No 0.00 0.00
## 1223 1117.65 No 0.00 0.00
## 1224 2219.2 No 0.00 0.00
## 1225 2.55 No 0.00 0.00
## 1226 1878.4 No 0.00 0.00
## 1227 433.1 Yes 32.60 1123.35
## 1228 430.75 No 0.00 0.00
## 1229 246.3 No 0.00 0.00
## 1230 1701.55 No 0.00 0.00
## 1231 2253.45 No 0.00 0.00
## 1232 12.5 Yes 26.85 56.15
## 1233 1255.8 No 0.00 0.00
## 1234 24.15 No 0.00 0.00
## 1235 39.35 No 0.00 0.00
## 1236 61.2 No 0.00 0.00
## 1237 1163.45 No 0.00 0.00
## 1238 1532.85 No 0.00 0.00
## 1239 255.3 No 0.00 0.00
## 1240 2783.35 Yes 49.60 3465.10
## 1241 822.85 No 0.00 0.00
## 1242 320 No 0.00 0.00
## 1243 2111.8 No 0.00 0.00
## 1244 350.35 No 0.00 0.00
## 1245 3528.9 Yes 48.85 3543.85
## 1246 1558.85 Yes 52.35 3423.25
## 1247 436.7 No 0.00 0.00
## 1248 10.6 No 0.00 0.00
## 1249 2601.3 No 0.00 0.00
## 1250 867.1 Yes 33.60 2005.65
## 1251 120.8 No 0.00 0.00
## 1252 132.25 No 0.00 0.00
## 1253 199.1 Yes 29.65 851.10
## 1254 849.75 No 0.00 0.00
## 1255 3213.45 No 0.00 0.00
## 1256 1161.5 No 0.00 0.00
## 1257 894.8 No 0.00 0.00
## 1258 67.3 Yes 26.30 290.30
## 1259 1083.6 No 0.00 0.00
## 1260 10252.35 No 0.00 0.00
## 1261 258.15 No 0.00 0.00
## 1262 1550.9 Yes 30.95 1850.35
## 1263 550.5 No 0.00 0.00
## 1264 1205.9 Yes 27.45 1676.05
## 1265 88.3 No 0.00 0.00
## 1266 490.4 No 0.00 0.00
## 1267 1348.55 No 0.00 0.00
## 1268 103.1 No 0.00 0.00
## 1269 478.5 No 0.00 0.00
## 1270 436.35 No 0.00 0.00
## 1271 115.15 Yes 30.40 478.90
## 1272 20.65 No 0.00 0.00
## 1273 683.45 No 0.00 0.00
## 1274 157.35 Yes 31.10 607.15
## 1275 409.65 No 0.00 0.00
## 1276 18.45 Yes 21.15 89.35
## 1277 176.35 No 0.00 0.00
## 1278 6.2 Yes 42.10 42.10
## 1279 451.9 No 0.00 0.00
## 1280 254.2 Yes 53.15 1378.60
## 1281 609.6 Yes 40.90 1320.85
## 1282 472.1 No 0.00 0.00
## 1283 50.25 Yes 37.95 182.80
## 1284 1246.3 Yes 33.70 2032.05
## 1285 1435.55 Yes 36.85 2296.60
## 1286 273.55 No 0.00 0.00
## 1287 13.4 Yes 31.35 140.05
## 1288 292.45 No 0.00 0.00
## 1289 310.25 Yes 47.25 1187.05
## 1290 699.55 No 0.00 0.00
## 1291 162.2 No 0.00 0.00
## 1292 911.7 Yes 37.25 2280.40
## 1293 3920.8 Yes 62.05 4572.45
## 1294 88.4 No 0.00 0.00
## 1295 309.1 No 0.00 0.00
## 1296 1340.2 No 0.00 0.00
## 1297 138.4 No 0.00 0.00
## 1298 432.85 No 0.00 0.00
## 1299 802.45 No 0.00 0.00
## 1300 184.95 No 0.00 0.00
## 1301 15.55 Yes 26.60 133.25
## 1302 70.8 No 0.00 0.00
## 1303 474.35 No 0.00 0.00
## 1304 158.55 Yes 36.20 856.75
## 1305 26.85 Yes 17.50 72.35
## 1306 39.4 No 0.00 0.00
## 1307 3.85 Yes 24.30 22.15
## 1308 1569.9 No 0.00 0.00
## 1309 13.65 No 0.00 0.00
## 1310 1618.8 Yes 33.65 2272.30
## 1311 198.1 Yes 22.50 649.35
## 1312 1775.75 No 0.00 0.00
## 1313 226.95 No 0.00 0.00
## 1314 195.45 Yes 42.65 938.70
## 1315 817.7 No 0.00 0.00
## 1316 521.4 Yes 32.95 1235.20
## 1317 20.75 No 0.00 0.00
## 1318 1607.4 No 0.00 0.00
## 1319 196.2 No 0.00 0.00
## 1320 974.2 No 0.00 0.00
## 1321 106.65 No 0.00 0.00
## 1322 1021.85 No 0.00 0.00
## 1323 13.95 No 0.00 0.00
## 1324 4636.6 No 0.00 0.00
## 1325 184.3 No 0.00 0.00
## 1326 53.3 Yes 22.05 219.80
## 1327 56.15 Yes 21.60 306.85
## 1328 216.05 Yes 26.95 765.25
## 1329 319.75 Yes 40.80 2086.70
## 1330 530.85 No 0.00 0.00
## 1331 347.1 Yes 40.25 1817.85
## 1332 488.45 No 0.00 0.00
## 1333 1050.6 No 0.00 0.00
## 1334 537.2 No 0.00 0.00
## 1335 268.95 Yes 32.40 1243.00
## 1336 1272 No 0.00 0.00
## 1337 23.15 No 0.00 0.00
## 1338 139.95 Yes 33.50 743.00
## 1339 19.55 Yes 43.65 238.10
## 1340 80.65 No 0.00 0.00
## 1341 86.5 No 0.00 0.00
## 1342 19.55 No 0.00 0.00
## 1343 243.2 No 0.00 0.00
## 1344 873 No 0.00 0.00
## 1345 739.55 No 0.00 0.00
## 1346 4.4 No 0.00 0.00
## 1347 3193.95 No 0.00 0.00
## 1348 468.15 No 0.00 0.00
## 1349 42.8 Yes 25.95 276.90
## 1350 172.5 No 0.00 0.00
## 1351 178.75 No 0.00 0.00
## 1352 115.75 No 0.00 0.00
## 1353 139.8 Yes 37.45 698.60
## 1354 649.65 No 0.00 0.00
## 1355 321.85 Yes 45.00 1674.45
## 1356 165.8 Yes 40.20 1102.10
## 1357 20.55 No 0.00 0.00
## 1358 14 Yes 26.95 110.35
## 1359 516.8 Yes 32.45 1182.45
## 1360 1214.25 Yes 43.90 2593.25
## 1361 97.55 Yes 36.15 681.20
## 1362 108.8 No 0.00 0.00
## 1363 625.2 No 0.00 0.00
## 1364 62.65 No 0.00 0.00
## 1365 893.2 No 0.00 0.00
## 1366 11.1 Yes 36.65 205.65
## 1367 33.1 Yes 25.00 151.65
## 1368 4117.45 Yes 38.90 2763.05
## 1369 1553.45 Yes 60.55 4268.95
## 1370 43.35 No 0.00 0.00
## 1371 127.95 No 0.00 0.00
## 1372 637.7 No 0.00 0.00
## 1373 302.15 No 0.00 0.00
## 1374 330.8 No 0.00 0.00
## 1375 2403 No 0.00 0.00
## 1376 78.8 No 0.00 0.00
## 1377 19.45 Yes 32.00 232.70
## 1378 310.8 Yes 26.75 871.55
## 1379 250.2 No 0.00 0.00
## 1380 674.25 Yes 31.15 1236.50
## 1381 391.95 Yes 33.60 1116.80
## 1382 349.25 No 0.00 0.00
## 1383 1497.95 Yes 28.55 1805.15
## 1384 6.9 No 0.00 0.00
## 1385 184.95 No 0.00 0.00
## 1386 2020.5 Yes 33.55 2079.70
## 1387 218.6 Yes 33.45 697.65
## 1388 804.55 Yes 53.90 3686.85
## 1389 2615.7 No 0.00 0.00
## 1390 507.3 Yes 39.75 1634.45
## 1391 1530.35 No 0.00 0.00
## 1392 1240.2 No 0.00 0.00
## 1393 378.5 Yes 35.15 1163.40
## 1394 245.2 No 0.00 0.00
## 1395 1457.75 No 0.00 0.00
## 1396 507.2 No 0.00 0.00
## 1397 408.05 No 0.00 0.00
## 1398 98.4 Yes 35.25 644.90
## 1399 106.95 No 0.00 0.00
## 1400 242.4 Yes 30.10 673.20
## 1401 340.4 No 0.00 0.00
## 1402 426.25 No 0.00 0.00
## 1403 30.3 No 0.00 0.00
## 1404 2272.8 No 0.00 0.00
## 1405 117.35 No 0.00 0.00
## 1406 316 No 0.00 0.00
## 1407 644.75 Yes 24.60 980.55
## 1408 10.3 No 0.00 0.00
## 1409 19.6 No 0.00 0.00
## 1410 399.95 No 0.00 0.00
## 1411 2791.1 Yes 65.10 4713.50
## 1412 468.25 No 0.00 0.00
## 1413 331.2 No 0.00 0.00
## 1414 6.6 No 0.00 0.00
## 1415 2.15 Yes 42.80 42.80
## 1416 3.15 No 0.00 0.00
## 1417 95 Yes 51.45 576.95
## 1418 86.5 Yes 46.60 526.95
## 1419 7.55 Yes 28.05 56.85
## 1420 496.4 No 0.00 0.00
## 1421 505.7 No 0.00 0.00
## 1422 67.1 Yes 30.55 397.40
## 1423 264.7 Yes 35.05 1096.95
## 1424 1602.5 No 0.00 0.00
## 1425 719.45 No 0.00 0.00
## 1426 2454.9 Yes 31.30 2099.15
## 1427 249.8 No 0.00 0.00
## 1428 1153.05 No 0.00 0.00
## 1429 204.8 Yes 47.60 2231.30
## 1430 222.35 Yes 37.20 797.90
## 1431 651.3 No 0.00 0.00
## 1432 448.35 No 0.00 0.00
## 1433 2112.1 Yes 49.35 3305.40
## 1434 1096.85 No 0.00 0.00
## 1435 3051.8 Yes 41.75 2829.40
## 1436 495.55 Yes 55.65 2810.60
## 1437 577.8 No 0.00 0.00
## 1438 775.95 No 0.00 0.00
## 1439 361.25 Yes 39.05 1540.50
## 1440 328.2 No 0.00 0.00
## 1441 484.65 No 0.00 0.00
## 1442 2708.5 No 0.00 0.00
## 1443 860.8 Yes 106.30 6014.70
## 1444 913.85 No 0.00 0.00
## 1445 3785 No 0.00 0.00
## 1446 25.3 Yes 39.50 170.20
## 1447 139.6 No 0.00 0.00
## 1448 5496.25 No 0.00 0.00
## 1449 611.9 No 0.00 0.00
## 1450 112.45 Yes 28.55 509.95
## 1451 5670 No 0.00 0.00
## 1452 5.35 Yes 24.85 47.85
## 1453 535.15 Yes 23.80 1268.95
## 1454 937.95 No 0.00 0.00
## 1455 69.2 No 0.00 0.00
## 1456 982.3 No 0.00 0.00
## 1457 403.85 Yes 29.65 1398.05
## 1458 234.6 No 0.00 0.00
## 1459 10.75 No 0.00 0.00
## 1460 750.95 Yes 51.35 3675.15
## 1461 233.25 No 0.00 0.00
## 1462 20.85 No 0.00 0.00
## 1463 100.75 No 0.00 0.00
## 1464 6.4 No 0.00 0.00
## 1465 584.35 Yes 54.25 3367.90
## 1466 65.65 No 0.00 0.00
## 1467 2418.05 No 0.00 0.00
## 1468 2115.3 No 0.00 0.00
## 1469 222.4 No 0.00 0.00
## 1470 1783.8 Yes 25.40 1704.05
## 1471 1410.85 No 0.00 0.00
## 1472 2254.85 No 0.00 0.00
## 1473 1332.25 No 0.00 0.00
## 1474 4.85 No 0.00 0.00
## 1475 15.15 No 0.00 0.00
## 1476 757.45 Yes 43.95 3069.45
## 1477 264.6 Yes 72.60 1710.70
## 1478 2453.45 No 0.00 0.00
## 1479 81.3 No 0.00 0.00
## 1480 186.3 Yes 42.40 1015.35
## 1481 1827.25 No 0.00 0.00
## 1482 112.25 No 0.00 0.00
## 1483 254.35 No 0.00 0.00
## 1484 126.3 No 0.00 0.00
## 1485 563.45 Yes 36.50 1925.30
## 1486 80.1 No 0.00 0.00
## 1487 76.85 Yes 35.05 603.00
## 1488 78.05 No 0.00 0.00
## 1489 1228.85 Yes 35.80 2192.80
## 1490 5852.45 Yes 43.00 2995.70
## 1491 198.1 No 0.00 0.00
## 1492 994.35 Yes 36.50 1826.35
## 1493 1893.25 No 0.00 0.00
## 1494 388.95 No 0.00 0.00
## 1495 501.35 No 0.00 0.00
## 1496 534.2 No 0.00 0.00
## 1497 2464.35 Yes 42.05 2961.50
## 1498 41.55 No 0.00 0.00
## 1499 88.75 No 0.00 0.00
## 1500 119.55 No 0.00 0.00
## 1501 621.9 No 0.00 0.00
## 1502 2163 No 0.00 0.00
## 1503 276.25 Yes 38.55 1315.95
## 1504 276 Yes 35.90 1240.60
## 1505 605.5 Yes 34.85 1758.00
## 1506 20.9 No 0.00 0.00
## 1507 380.35 No 0.00 0.00
## 1508 82.8 No 0.00 0.00
## 1509 565.75 No 0.00 0.00
## 1510 72.8 No 0.00 0.00
## 1511 299.05 No 0.00 0.00
## 1512 4687.7 No 0.00 0.00
## 1513 206.25 No 0.00 0.00
## 1514 365.4 No 0.00 0.00
## 1515 464.4 Yes 43.60 1388.40
## 1516 293.15 No 0.00 0.00
## 1517 1308.65 No 0.00 0.00
## 1518 196.5 Yes 50.85 1295.35
## 1519 224.45 No 0.00 0.00
## 1520 161.95 Yes 45.10 1056.20
## 1521 619.35 No 0.00 0.00
## 1522 822.8 No 0.00 0.00
## 1523 92.45 No 0.00 0.00
## 1524 29.25 Yes 51.40 342.25
## 1525 11.85 Yes 39.80 71.15
## 1526 578.75 No 0.00 0.00
## 1527 54.95 Yes 54.40 670.40
## 1528 2163.65 No 0.00 0.00
## 1529 7.05 No 0.00 0.00
## 1530 1004.05 No 0.00 0.00
## 1531 529.3 Yes 28.75 1567.60
## 1532 3.05 No 0.00 0.00
## 1533 289.75 Yes 34.40 1340.75
## 1534 2157.7 No 0.00 0.00
## 1535 734.5 Yes 38.05 1918.95
## 1536 421.2 No 0.00 0.00
## 1537 93.15 No 0.00 0.00
## 1538 175.8 Yes 35.10 767.40
## 1539 223.35 No 0.00 0.00
## 1540 322.25 No 0.00 0.00
## 1541 68.95 No 0.00 0.00
## 1542 1010.8 Yes 49.25 3189.10
## 1543 68.75 No 0.00 0.00
## 1544 1518.8 No 0.00 0.00
## 1545 303.85 Yes 36.50 582.15
## 1546 1341.15 Yes 32.40 1881.30
## 1547 115 Yes 50.70 1242.90
## 1548 68.35 No 0.00 0.00
## 1549 111.45 No 0.00 0.00
## 1550 27.95 Yes 32.05 109.90
## 1551 398.3 Yes 47.75 1745.70
## 1552 327.95 Yes 46.35 1375.75
## 1553 750.1 No 0.00 0.00
## 1554 12.65 Yes 32.10 112.35
## 1555 557.35 No 0.00 0.00
## 1556 1692.95 No 0.00 0.00
## 1557 39.2 No 0.00 0.00
## 1558 172.9 No 0.00 0.00
## 1559 423.8 Yes 43.80 1113.00
## 1560 238.5 No 0.00 0.00
## 1561 4410.85 No 0.00 0.00
## 1562 1682.05 Yes 21.60 1455.10
## 1563 295.2 No 0.00 0.00
## 1564 444.15 Yes 41.20 1968.20
## 1565 117.7 No 0.00 0.00
## 1566 132.75 No 0.00 0.00
## 1567 597.85 No 0.00 0.00
## 1568 129 No 0.00 0.00
## 1569 1523.7 No 0.00 0.00
## 1570 98.8 No 0.00 0.00
## 1571 295.6 Yes 41.50 1580.95
## 1572 43.2 Yes 35.75 341.20
## 1573 181.05 No 0.00 0.00
## 1574 1570.65 No 0.00 0.00
## 1575 158.35 Yes 51.70 742.70
## 1576 891.3 Yes 45.90 2784.25
## 1577 4.75 No 0.00 0.00
## 1578 590.05 No 0.00 0.00
## 1579 68.25 No 0.00 0.00
## 1580 685.6 No 0.00 0.00
## 1581 57.75 No 0.00 0.00
## 1582 121 No 0.00 0.00
## 1583 168.05 Yes 43.40 976.85
## 1584 159.55 No 0.00 0.00
## 1585 550.4 No 0.00 0.00
## 1586 1490.25 Yes 36.05 2091.65
## 1587 82.55 Yes 25.40 269.45
## 1588 4138.7 No 0.00 0.00
## 1589 1457.9 Yes 27.65 1795.30
## 1590 48.4 Yes 36.95 313.60
## 1591 1677.05 No 0.00 0.00
## 1592 335.5 No 0.00 0.00
## 1593 3194.85 No 0.00 0.00
## 1594 84.4 No 0.00 0.00
## 1595 1174.15 No 0.00 0.00
## 1596 1482.35 Yes 55.20 3902.05
## 1597 2161.8 No 0.00 0.00
## 1598 1961.1 Yes 32.50 2125.00
## 1599 417.55 Yes 46.60 2514.00
## 1600 470.45 No 0.00 0.00
## 1601 55 No 0.00 0.00
## 1602 239.6 No 0.00 0.00
## 1603 238.4 No 0.00 0.00
## 1604 60.95 No 0.00 0.00
## 1605 569.2 No 0.00 0.00
## 1606 1433.9 No 0.00 0.00
## 1607 373.05 No 0.00 0.00
## 1608 1163.55 No 0.00 0.00
## 1609 272.05 Yes 52.25 2037.95
## 1610 826.9 No 0.00 0.00
## 1611 243.05 No 0.00 0.00
## 1612 582.8 No 0.00 0.00
## 1613 143.8 No 0.00 0.00
## 1614 85.55 No 0.00 0.00
## 1615 11 Yes 31.95 90.55
## 1616 38.15 No 0.00 0.00
## 1617 497.2 No 0.00 0.00
## 1618 598.9 No 0.00 0.00
## 1619 596.9 No 0.00 0.00
## 1620 530.2 No 0.00 0.00
## 1621 10.55 No 0.00 0.00
## 1622 1482.5 Yes 41.10 2737.15
## 1623 122.65 No 0.00 0.00
## 1624 87.55 Yes 33.10 559.05
## 1625 96.8 No 0.00 0.00
## 1626 301.1 No 0.00 0.00
## 1627 445.55 No 0.00 0.00
## 1628 1314.75 No 0.00 0.00
## 1629 5.75 No 0.00 0.00
## 1630 294.9 No 0.00 0.00
## 1631 122.15 Yes 39.10 411.25
## 1632 442.85 No 0.00 0.00
## 1633 74.05 No 0.00 0.00
## 1634 1765.1 No 0.00 0.00
## 1635 33.95 No 0.00 0.00
## 1636 2126.55 No 0.00 0.00
## 1637 2609.9 No 0.00 0.00
## 1638 47.7 No 0.00 0.00
## 1639 153.55 No 0.00 0.00
## 1640 83.3 No 0.00 0.00
## 1641 402.75 No 0.00 0.00
## 1642 29.75 No 0.00 0.00
## 1643 226.35 No 0.00 0.00
## 1644 949.35 No 0.00 0.00
## 1645 348.35 No 0.00 0.00
## 1646 3.3 Yes 37.60 41.55
## 1647 1212.2 No 0.00 0.00
## 1648 32.3 No 0.00 0.00
## 1649 67.75 No 0.00 0.00
## 1650 866.75 No 0.00 0.00
## 1651 83.85 No 0.00 0.00
## 1652 158.55 No 0.00 0.00
## 1653 745.45 Yes 37.25 2013.75
## 1654 671.05 No 0.00 0.00
## 1655 728.9 No 0.00 0.00
## 1656 1514.2 No 0.00 0.00
## 1657 658.35 Yes 41.75 2577.30
## 1658 248 Yes 31.00 1509.25
## 1659 38.15 No 0.00 0.00
## 1660 588.25 No 0.00 0.00
## 1661 814.95 Yes 50.60 2780.05
## 1662 320.95 No 0.00 0.00
## 1663 3060.85 No 0.00 0.00
## 1664 420.65 Yes 29.80 1561.95
## 1665 117.5 No 0.00 0.00
## 1666 1569.95 No 0.00 0.00
## 1667 1655.55 No 0.00 0.00
## 1668 785.6 Yes 30.10 1698.60
## 1669 1318.5 No 0.00 0.00
## 1670 21.4 Yes 53.30 206.70
## 1671 3.35 No 0.00 0.00
## 1672 1076.75 No 0.00 0.00
## 1673 51.2 No 0.00 0.00
## 1674 1733.9 No 0.00 0.00
## 1675 317.65 No 0.00 0.00
## 1676 31.75 Yes 56.65 500.15
## 1677 1001 No 0.00 0.00
## 1678 807.8 No 0.00 0.00
## 1679 2.05 Yes 20.00 20.00
## 1680 2664.85 Yes 31.15 2177.45
## 1681 509.55 No 0.00 0.00
## 1682 201.25 No 0.00 0.00
## 1683 264.25 Yes 57.60 2142.65
## 1684 72.9 No 0.00 0.00
## 1685 564.8 No 0.00 0.00
## 1686 279.8 No 0.00 0.00
## 1687 176.75 No 0.00 0.00
## 1688 161.35 No 0.00 0.00
## 1689 1467.9 No 0.00 0.00
## 1690 622.45 No 0.00 0.00
## 1691 154.2 No 0.00 0.00
## 1692 306.65 No 0.00 0.00
## 1693 114.85 Yes 34.80 819.25
## 1694 3479.7 No 0.00 0.00
## CallingCard WirelessData DataLastMonth DataOverTenure Multiline VM Pager
## 1 Yes No 0.00 0.00 Yes Yes Yes
## 2 Yes Yes 45.65 1683.55 Yes Yes Yes
## 3 Yes No 0.00 0.00 Yes No No
## 4 Yes No 0.00 0.00 Yes No No
## 5 Yes Yes 19.05 410.80 No Yes No
## 6 Yes No 0.00 0.00 No No Yes
## 7 No No 0.00 0.00 No No No
## 8 Yes No 0.00 0.00 Yes No No
## 9 Yes No 0.00 0.00 Yes No No
## 10 No No 0.00 0.00 No No No
## 11 Yes No 0.00 0.00 Yes No No
## 12 No No 0.00 0.00 No No No
## 13 Yes No 0.00 0.00 No No No
## 14 Yes No 0.00 0.00 Yes No No
## 15 Yes No 0.00 0.00 Yes No No
## 16 Yes Yes 43.25 3159.25 Yes Yes Yes
## 17 Yes Yes 40.20 1840.45 No Yes Yes
## 18 Yes No 0.00 0.00 Yes Yes No
## 19 Yes No 0.00 0.00 No No No
## 20 Yes No 0.00 0.00 Yes No No
## 21 Yes No 0.00 0.00 No Yes No
## 22 Yes No 0.00 0.00 Yes No Yes
## 23 Yes No 0.00 0.00 No No No
## 24 Yes Yes 31.50 1199.20 Yes Yes Yes
## 25 Yes No 0.00 0.00 No No No
## 26 Yes Yes 53.20 3245.60 Yes Yes Yes
## 27 Yes No 0.00 0.00 Yes No No
## 28 No No 0.00 0.00 No No No
## 29 Yes No 0.00 0.00 Yes No No
## 30 No No 0.00 0.00 No No No
## 31 Yes No 0.00 0.00 No No No
## 32 Yes Yes 55.80 3819.50 Yes Yes Yes
## 33 Yes No 0.00 0.00 No No No
## 34 No No 0.00 0.00 No No No
## 35 Yes Yes 61.25 2209.20 Yes Yes Yes
## 36 No No 0.00 0.00 Yes No No
## 37 Yes Yes 36.45 2475.25 Yes Yes Yes
## 38 Yes No 0.00 0.00 No No No
## 39 No Yes 62.30 1879.25 Yes Yes Yes
## 40 Yes Yes 19.35 764.35 No No No
## 41 Yes No 0.00 0.00 No Yes No
## 42 Yes No 0.00 0.00 Yes Yes No
## 43 Yes No 0.00 0.00 No No No
## 44 Yes Yes 19.70 387.90 No No No
## 45 Yes No 0.00 0.00 No No No
## 46 No No 0.00 0.00 No No No
## 47 No No 0.00 0.00 No No No
## 48 Yes No 0.00 0.00 Yes No No
## 49 No No 0.00 0.00 No No No
## 50 Yes Yes 57.05 2716.60 Yes Yes Yes
## 51 No No 0.00 0.00 No No No
## 52 Yes No 0.00 0.00 No No No
## 53 Yes No 0.00 0.00 Yes No No
## 54 Yes Yes 50.00 1710.15 Yes Yes Yes
## 55 No Yes 21.00 351.70 No Yes No
## 56 Yes No 0.00 0.00 No No No
## 57 Yes Yes 60.50 4054.25 Yes Yes Yes
## 58 Yes Yes 43.15 2437.20 Yes Yes No
## 59 Yes No 0.00 0.00 No No No
## 60 No No 0.00 0.00 No No No
## 61 No No 0.00 0.00 No No No
## 62 No Yes 25.40 89.60 No Yes No
## 63 Yes Yes 32.20 1224.05 Yes Yes Yes
## 64 Yes No 0.00 0.00 No No No
## 65 No No 0.00 0.00 No No No
## 66 Yes No 0.00 0.00 Yes No No
## 67 No No 0.00 0.00 No No No
## 68 No No 0.00 0.00 No No No
## 69 No No 0.00 0.00 Yes No No
## 70 Yes No 0.00 0.00 Yes No No
## 71 No No 0.00 0.00 No No No
## 72 Yes Yes 84.85 5602.90 Yes Yes Yes
## 73 No No 0.00 0.00 No No No
## 74 No No 0.00 0.00 No No No
## 75 Yes No 0.00 0.00 Yes No No
## 76 No No 0.00 0.00 No No No
## 77 Yes Yes 22.65 271.75 Yes Yes Yes
## 78 Yes No 0.00 0.00 No No No
## 79 No No 0.00 0.00 No No No
## 80 No No 0.00 0.00 No No No
## 81 Yes Yes 28.75 22.30 No Yes Yes
## 82 Yes No 0.00 0.00 Yes No No
## 83 Yes Yes 49.25 2032.40 Yes Yes Yes
## 84 Yes No 0.00 0.00 Yes Yes Yes
## 85 No No 0.00 0.00 Yes No Yes
## 86 Yes No 0.00 0.00 Yes Yes No
## 87 Yes No 0.00 0.00 Yes Yes No
## 88 Yes Yes 30.80 186.00 Yes Yes Yes
## 89 Yes Yes 74.80 4242.60 Yes Yes Yes
## 90 Yes No 0.00 0.00 Yes Yes No
## 91 No No 0.00 0.00 No No No
## 92 Yes No 0.00 0.00 Yes No No
## 93 No No 0.00 0.00 No No No
## 94 Yes No 0.00 0.00 No No No
## 95 Yes No 0.00 0.00 Yes No No
## 96 Yes No 0.00 0.00 No No No
## 97 Yes No 0.00 0.00 Yes No No
## 98 No No 0.00 0.00 No No Yes
## 99 Yes No 0.00 0.00 Yes No No
## 100 Yes No 0.00 0.00 Yes No No
## 101 Yes No 0.00 0.00 No No Yes
## 102 Yes No 0.00 0.00 Yes No No
## 103 Yes No 0.00 0.00 No No No
## 104 No No 0.00 0.00 No No No
## 105 Yes No 0.00 0.00 No No No
## 106 No No 0.00 0.00 No No No
## 107 No No 0.00 0.00 Yes Yes Yes
## 108 Yes No 0.00 0.00 Yes No No
## 109 Yes No 0.00 0.00 No No No
## 110 Yes No 0.00 0.00 No No No
## 111 Yes No 0.00 0.00 No Yes Yes
## 112 Yes No 0.00 0.00 Yes Yes Yes
## 113 Yes No 0.00 0.00 No No No
## 114 No No 0.00 0.00 No No No
## 115 Yes No 0.00 0.00 No No No
## 116 Yes No 0.00 0.00 No Yes No
## 117 Yes No 0.00 0.00 Yes No No
## 118 No No 0.00 0.00 Yes No No
## 119 Yes Yes 28.25 1630.10 Yes No No
## 120 No No 0.00 0.00 No No Yes
## 121 Yes Yes 44.00 2724.00 Yes Yes Yes
## 122 Yes No 0.00 0.00 Yes Yes No
## 123 No No 0.00 0.00 No No No
## 124 Yes No 0.00 0.00 Yes No No
## 125 Yes No 0.00 0.00 Yes No No
## 126 Yes No 0.00 0.00 Yes Yes No
## 127 Yes Yes 68.00 4506.60 Yes Yes Yes
## 128 No Yes 18.15 579.95 Yes No No
## 129 Yes No 0.00 0.00 No No No
## 130 No No 0.00 0.00 No No No
## 131 Yes No 0.00 0.00 Yes No No
## 132 Yes No 0.00 0.00 No No Yes
## 133 No No 0.00 0.00 No No No
## 134 Yes No 0.00 0.00 No No No
## 135 No No 0.00 0.00 Yes Yes No
## 136 Yes No 0.00 0.00 Yes No No
## 137 Yes No 0.00 0.00 No No No
## 138 Yes No 0.00 0.00 No No No
## 139 Yes No 0.00 0.00 No No No
## 140 No No 0.00 0.00 No No No
## 141 Yes No 0.00 0.00 No No No
## 142 Yes No 0.00 0.00 No No No
## 143 Yes No 0.00 0.00 No No No
## 144 No No 0.00 0.00 No No Yes
## 145 Yes No 0.00 0.00 No No No
## 146 Yes No 0.00 0.00 Yes No No
## 147 Yes Yes 62.35 2127.95 Yes Yes Yes
## 148 No No 0.00 0.00 No No No
## 149 Yes No 0.00 0.00 No No No
## 150 Yes No 0.00 0.00 Yes No No
## 151 Yes Yes 25.25 1199.20 No No No
## 152 No No 0.00 0.00 Yes No Yes
## 153 Yes No 0.00 0.00 Yes Yes No
## 154 Yes No 0.00 0.00 Yes No No
## 155 No No 0.00 0.00 No Yes No
## 156 Yes No 0.00 0.00 Yes No No
## 157 Yes No 0.00 0.00 Yes No No
## 158 Yes No 0.00 0.00 Yes No No
## 159 No Yes 29.50 908.75 Yes Yes No
## 160 Yes No 0.00 0.00 Yes No No
## 161 Yes No 0.00 0.00 Yes No No
## 162 Yes No 0.00 0.00 No No No
## 163 Yes Yes 32.55 80.15 No Yes Yes
## 164 Yes No 0.00 0.00 Yes No No
## 165 Yes Yes 36.25 926.55 No No Yes
## 166 Yes No 0.00 0.00 Yes No No
## 167 No No 0.00 0.00 No No No
## 168 No No 0.00 0.00 No No No
## 169 Yes No 0.00 0.00 No No No
## 170 Yes No 0.00 0.00 No No No
## 171 Yes No 0.00 0.00 Yes Yes No
## 172 Yes Yes 35.65 2467.80 No Yes No
## 173 Yes No 0.00 0.00 Yes No No
## 174 Yes No 0.00 0.00 No No No
## 175 Yes Yes 35.45 2201.30 Yes Yes Yes
## 176 Yes No 0.00 0.00 Yes No No
## 177 Yes No 0.00 0.00 Yes No No
## 178 Yes Yes 63.30 2048.10 Yes Yes Yes
## 179 Yes No 0.00 0.00 Yes No No
## 180 Yes No 0.00 0.00 Yes No No
## 181 Yes No 0.00 0.00 Yes No No
## 182 Yes No 0.00 0.00 No No No
## 183 Yes No 0.00 0.00 No No No
## 184 Yes No 0.00 0.00 No No No
## 185 Yes No 0.00 0.00 Yes No No
## 186 No No 0.00 0.00 No No No
## 187 No No 0.00 0.00 No No Yes
## 188 Yes No 0.00 0.00 No No Yes
## 189 Yes No 0.00 0.00 Yes No No
## 190 No No 0.00 0.00 No No No
## 191 Yes No 0.00 0.00 No No No
## 192 Yes No 0.00 0.00 Yes No No
## 193 Yes No 0.00 0.00 No No No
## 194 Yes No 0.00 0.00 Yes No No
## 195 No No 0.00 0.00 No No No
## 196 Yes No 0.00 0.00 No No No
## 197 Yes No 0.00 0.00 Yes No No
## 198 Yes Yes 46.00 2182.10 Yes Yes Yes
## 199 Yes Yes 40.70 2472.75 No Yes Yes
## 200 Yes Yes 21.40 783.65 Yes No Yes
## 201 Yes Yes 24.15 69.15 No No No
## 202 No No 0.00 0.00 Yes No No
## 203 Yes No 0.00 0.00 No No No
## 204 Yes No 0.00 0.00 No No Yes
## 205 Yes No 0.00 0.00 Yes No No
## 206 Yes No 0.00 0.00 No No No
## 207 No No 0.00 0.00 Yes No No
## 208 No No 0.00 0.00 No No No
## 209 Yes Yes 46.70 2152.30 Yes Yes Yes
## 210 No No 0.00 0.00 Yes No No
## 211 Yes Yes 34.50 2060.65 Yes No No
## 212 Yes Yes 22.10 150.40 No No No
## 213 Yes Yes 50.60 2705.85 Yes Yes Yes
## 214 No No 0.00 0.00 Yes No No
## 215 No No 0.00 0.00 No No No
## 216 Yes Yes 61.95 3814.65 Yes Yes Yes
## 217 Yes No 0.00 0.00 Yes No No
## 218 Yes No 0.00 0.00 Yes No No
## 219 No No 0.00 0.00 No No No
## 220 No No 0.00 0.00 Yes No No
## 221 Yes Yes 38.90 1077.40 Yes No Yes
## 222 No No 0.00 0.00 No No No
## 223 No No 0.00 0.00 Yes No No
## 224 Yes No 0.00 0.00 No No No
## 225 Yes Yes 24.25 756.55 No Yes Yes
## 226 No No 0.00 0.00 No No No
## 227 No No 0.00 0.00 No No No
## 228 Yes No 0.00 0.00 Yes No No
## 229 Yes No 0.00 0.00 No No No
## 230 Yes No 0.00 0.00 No Yes No
## 231 Yes No 0.00 0.00 No No No
## 232 Yes Yes 21.25 21.25 No Yes Yes
## 233 Yes Yes 45.50 3135.90 Yes Yes Yes
## 234 No No 0.00 0.00 Yes No No
## 235 Yes No 0.00 0.00 No No No
## 236 Yes Yes 25.85 114.85 No Yes Yes
## 237 Yes No 0.00 0.00 No Yes Yes
## 238 Yes No 0.00 0.00 No Yes No
## 239 No No 0.00 0.00 No No No
## 240 Yes No 0.00 0.00 Yes No No
## 241 Yes No 0.00 0.00 Yes Yes Yes
## 242 Yes No 0.00 0.00 Yes No No
## 243 Yes No 0.00 0.00 Yes No No
## 244 Yes No 0.00 0.00 Yes Yes Yes
## 245 Yes No 0.00 0.00 No No No
## 246 Yes Yes 22.50 105.85 No No No
## 247 Yes Yes 41.05 2862.70 Yes Yes Yes
## 248 Yes Yes 38.95 453.00 Yes No Yes
## 249 Yes No 0.00 0.00 Yes No No
## 250 Yes No 0.00 0.00 No No No
## 251 Yes No 0.00 0.00 Yes No No
## 252 No No 0.00 0.00 No No No
## 253 Yes Yes 14.70 119.30 No No No
## 254 No No 0.00 0.00 No No No
## 255 Yes Yes 84.50 2194.85 Yes Yes Yes
## 256 Yes No 0.00 0.00 No No No
## 257 Yes Yes 57.70 3594.45 Yes Yes Yes
## 258 Yes No 0.00 0.00 No No No
## 259 No Yes 25.70 77.45 No No Yes
## 260 No No 0.00 0.00 No No No
## 261 Yes Yes 27.20 478.80 Yes Yes No
## 262 No No 0.00 0.00 No No No
## 263 No No 0.00 0.00 No No No
## 264 Yes No 0.00 0.00 Yes No No
## 265 No No 0.00 0.00 No No No
## 266 Yes Yes 79.65 5569.30 Yes Yes Yes
## 267 Yes No 0.00 0.00 Yes No No
## 268 No No 0.00 0.00 No No No
## 269 Yes Yes 23.95 1062.75 No Yes No
## 270 No No 0.00 0.00 No No No
## 271 Yes Yes 30.60 1603.25 No No No
## 272 Yes No 0.00 0.00 Yes Yes No
## 273 No No 0.00 0.00 No No No
## 274 Yes No 0.00 0.00 No Yes No
## 275 No No 0.00 0.00 Yes No No
## 276 No No 0.00 0.00 No No No
## 277 Yes No 0.00 0.00 Yes No No
## 278 Yes No 0.00 0.00 Yes Yes Yes
## 279 Yes No 0.00 0.00 No No No
## 280 Yes No 0.00 0.00 No No No
## 281 No No 0.00 0.00 No No No
## 282 Yes Yes 35.45 1702.65 No Yes No
## 283 Yes Yes 25.05 1758.25 Yes No No
## 284 Yes No 0.00 0.00 No No No
## 285 No No 0.00 0.00 No No No
## 286 Yes No 0.00 0.00 Yes Yes No
## 287 Yes No 0.00 0.00 Yes Yes Yes
## 288 No No 0.00 0.00 No No No
## 289 No No 0.00 0.00 No No No
## 290 Yes Yes 40.70 2294.85 Yes Yes Yes
## 291 Yes Yes 67.70 2920.65 No Yes Yes
## 292 Yes No 0.00 0.00 No No No
## 293 Yes No 0.00 0.00 No No No
## 294 Yes Yes 44.75 2103.40 Yes Yes Yes
## 295 Yes Yes 36.55 2133.95 Yes Yes Yes
## 296 No No 0.00 0.00 No No No
## 297 Yes Yes 53.25 848.95 Yes Yes Yes
## 298 Yes No 0.00 0.00 Yes No No
## 299 Yes No 0.00 0.00 No No No
## 300 Yes No 0.00 0.00 Yes No No
## 301 No No 0.00 0.00 No No No
## 302 Yes Yes 34.65 1110.30 Yes Yes Yes
## 303 Yes No 0.00 0.00 No No No
## 304 Yes No 0.00 0.00 No No Yes
## 305 Yes No 0.00 0.00 No No No
## 306 Yes Yes 19.65 192.55 No No No
## 307 No No 0.00 0.00 No No No
## 308 Yes No 0.00 0.00 Yes No No
## 309 Yes Yes 46.00 1406.60 No Yes Yes
## 310 No No 0.00 0.00 Yes Yes No
## 311 Yes No 0.00 0.00 No No Yes
## 312 Yes No 0.00 0.00 No No No
## 313 Yes Yes 90.10 3458.65 Yes Yes Yes
## 314 Yes No 0.00 0.00 No No No
## 315 Yes Yes 34.45 1953.30 Yes No No
## 316 Yes Yes 30.95 30.95 No Yes Yes
## 317 Yes No 0.00 0.00 No No No
## 318 Yes No 0.00 0.00 No No No
## 319 No No 0.00 0.00 No No No
## 320 Yes Yes 90.35 380.15 No Yes Yes
## 321 Yes No 0.00 0.00 No No No
## 322 Yes No 0.00 0.00 Yes No No
## 323 Yes No 0.00 0.00 Yes No No
## 324 Yes Yes 62.35 2807.25 Yes Yes Yes
## 325 Yes No 0.00 0.00 Yes No Yes
## 326 No No 0.00 0.00 Yes No No
## 327 Yes No 0.00 0.00 No Yes No
## 328 No Yes 32.10 32.10 Yes Yes Yes
## 329 Yes No 0.00 0.00 Yes Yes No
## 330 No No 0.00 0.00 No No No
## 331 No No 0.00 0.00 Yes No No
## 332 Yes No 0.00 0.00 Yes No No
## 333 No No 0.00 0.00 Yes No No
## 334 No No 0.00 0.00 No No No
## 335 Yes No 0.00 0.00 Yes No No
## 336 Yes No 0.00 0.00 Yes No No
## 337 No No 0.00 0.00 Yes No No
## 338 No No 0.00 0.00 Yes Yes No
## 339 Yes Yes 40.40 1061.65 Yes Yes Yes
## 340 No No 0.00 0.00 No No No
## 341 Yes No 0.00 0.00 No Yes No
## 342 Yes No 0.00 0.00 Yes No No
## 343 No Yes 38.05 2336.30 Yes No Yes
## 344 Yes No 0.00 0.00 No No No
## 345 Yes No 0.00 0.00 No No No
## 346 Yes No 0.00 0.00 Yes No No
## 347 Yes No 0.00 0.00 Yes No No
## 348 No No 0.00 0.00 Yes No No
## 349 Yes No 0.00 0.00 No Yes No
## 350 Yes Yes 38.00 2533.45 Yes No Yes
## 351 Yes No 0.00 0.00 Yes No Yes
## 352 Yes Yes 22.10 515.80 No No No
## 353 Yes No 0.00 0.00 No No No
## 354 Yes No 0.00 0.00 No No No
## 355 Yes Yes 24.30 672.55 No No Yes
## 356 No Yes 18.60 357.55 Yes No No
## 357 Yes No 0.00 0.00 No Yes Yes
## 358 No No 0.00 0.00 Yes Yes Yes
## 359 No No 0.00 0.00 No No No
## 360 Yes No 0.00 0.00 No Yes No
## 361 Yes No 0.00 0.00 No No No
## 362 No No 0.00 0.00 No No No
## 363 Yes No 0.00 0.00 No No No
## 364 Yes No 0.00 0.00 No No No
## 365 Yes No 0.00 0.00 No No No
## 366 Yes No 0.00 0.00 Yes No No
## 367 Yes No 0.00 0.00 Yes No No
## 368 Yes No 0.00 0.00 No Yes No
## 369 No No 0.00 0.00 Yes No No
## 370 Yes No 0.00 0.00 Yes No No
## 371 Yes No 0.00 0.00 No No No
## 372 No No 0.00 0.00 No No No
## 373 No No 0.00 0.00 No No No
## 374 Yes No 0.00 0.00 Yes Yes No
## 375 Yes Yes 35.10 1312.60 No Yes Yes
## 376 Yes No 0.00 0.00 Yes No No
## 377 No Yes 21.45 255.15 Yes No No
## 378 Yes No 0.00 0.00 Yes No No
## 379 No No 0.00 0.00 No No No
## 380 Yes Yes 31.60 283.50 Yes Yes Yes
## 381 Yes No 0.00 0.00 Yes No No
## 382 No No 0.00 0.00 No No No
## 383 No No 0.00 0.00 Yes No No
## 384 Yes Yes 27.30 1691.40 Yes No Yes
## 385 Yes No 0.00 0.00 No No No
## 386 Yes No 0.00 0.00 Yes No No
## 387 Yes No 0.00 0.00 No No No
## 388 No Yes 22.95 113.55 No Yes Yes
## 389 No Yes 15.65 226.60 No No No
## 390 Yes No 0.00 0.00 Yes No No
## 391 Yes No 0.00 0.00 No No No
## 392 No No 0.00 0.00 Yes No No
## 393 Yes Yes 38.90 2355.75 No Yes Yes
## 394 No Yes 26.45 742.70 Yes Yes Yes
## 395 Yes No 0.00 0.00 Yes No No
## 396 Yes Yes 29.55 439.30 No Yes Yes
## 397 Yes No 0.00 0.00 No No No
## 398 Yes Yes 72.45 468.10 Yes Yes Yes
## 399 Yes No 0.00 0.00 Yes No No
## 400 Yes No 0.00 0.00 No No No
## 401 Yes Yes 36.20 564.20 Yes Yes Yes
## 402 Yes No 0.00 0.00 Yes No No
## 403 Yes Yes 54.90 2247.65 Yes Yes Yes
## 404 Yes Yes 25.90 48.35 No Yes Yes
## 405 Yes No 0.00 0.00 Yes No No
## 406 Yes Yes 60.50 817.85 Yes Yes Yes
## 407 No No 0.00 0.00 No No No
## 408 Yes No 0.00 0.00 Yes No Yes
## 409 Yes No 0.00 0.00 Yes No No
## 410 No No 0.00 0.00 Yes No No
## 411 Yes No 0.00 0.00 No Yes No
## 412 Yes No 0.00 0.00 No No No
## 413 Yes No 0.00 0.00 No No No
## 414 Yes No 0.00 0.00 Yes No No
## 415 Yes No 0.00 0.00 Yes No No
## 416 No Yes 26.15 209.95 Yes No No
## 417 Yes Yes 44.65 1971.85 No Yes Yes
## 418 No Yes 24.95 302.20 Yes Yes Yes
## 419 Yes No 0.00 0.00 No No No
## 420 Yes No 0.00 0.00 No No No
## 421 Yes No 0.00 0.00 Yes No No
## 422 Yes No 0.00 0.00 No No No
## 423 Yes No 0.00 0.00 Yes No No
## 424 Yes Yes 57.40 3488.10 Yes Yes Yes
## 425 Yes Yes 58.00 2635.85 Yes Yes Yes
## 426 Yes Yes 46.85 2519.15 Yes Yes Yes
## 427 No No 0.00 0.00 No No No
## 428 Yes No 0.00 0.00 Yes No No
## 429 No No 0.00 0.00 No No No
## 430 Yes Yes 35.45 2215.40 Yes Yes No
## 431 Yes No 0.00 0.00 No No No
## 432 Yes No 0.00 0.00 Yes No No
## 433 Yes Yes 36.65 133.35 Yes Yes Yes
## 434 Yes No 0.00 0.00 Yes No No
## 435 Yes No 0.00 0.00 No No No
## 436 Yes No 0.00 0.00 No No No
## 437 Yes No 0.00 0.00 No No No
## 438 Yes No 0.00 0.00 Yes No No
## 439 Yes No 0.00 0.00 Yes No No
## 440 Yes Yes 47.65 178.60 Yes Yes Yes
## 441 Yes Yes 101.00 4682.75 Yes Yes Yes
## 442 No Yes 20.20 226.45 Yes No Yes
## 443 Yes Yes 27.70 362.45 No Yes Yes
## 444 No No 0.00 0.00 Yes No No
## 445 No No 0.00 0.00 No No No
## 446 No No 0.00 0.00 Yes Yes No
## 447 Yes Yes 87.85 5516.95 Yes Yes Yes
## 448 Yes No 0.00 0.00 Yes No No
## 449 No No 0.00 0.00 No No No
## 450 Yes No 0.00 0.00 Yes Yes No
## 451 Yes No 0.00 0.00 No No No
## 452 No No 0.00 0.00 No No No
## 453 No No 0.00 0.00 No No No
## 454 Yes No 0.00 0.00 No Yes No
## 455 No No 0.00 0.00 No No No
## 456 No No 0.00 0.00 No No No
## 457 No No 0.00 0.00 No No Yes
## 458 Yes No 0.00 0.00 Yes No No
## 459 No Yes 34.85 1288.00 Yes Yes No
## 460 Yes No 0.00 0.00 No No No
## 461 No No 0.00 0.00 No No No
## 462 Yes No 0.00 0.00 No No No
## 463 No No 0.00 0.00 No No No
## 464 Yes Yes 42.75 922.85 Yes Yes Yes
## 465 Yes Yes 28.55 684.60 No Yes Yes
## 466 Yes No 0.00 0.00 No No No
## 467 Yes No 0.00 0.00 Yes No No
## 468 Yes No 0.00 0.00 Yes No No
## 469 Yes No 0.00 0.00 No No No
## 470 Yes Yes 48.30 3100.35 No Yes Yes
## 471 No No 0.00 0.00 No No No
## 472 Yes Yes 55.65 3486.45 Yes Yes Yes
## 473 No No 0.00 0.00 No No No
## 474 Yes Yes 47.80 2941.15 Yes Yes Yes
## 475 Yes No 0.00 0.00 Yes No No
## 476 Yes No 0.00 0.00 Yes No No
## 477 Yes Yes 46.70 3235.15 Yes Yes Yes
## 478 Yes Yes 36.80 1379.25 Yes Yes No
## 479 Yes No 0.00 0.00 Yes No Yes
## 480 Yes Yes 29.00 194.10 No Yes Yes
## 481 Yes Yes 39.30 119.25 Yes Yes Yes
## 482 No No 0.00 0.00 Yes Yes No
## 483 Yes No 0.00 0.00 Yes No No
## 484 Yes No 0.00 0.00 No No No
## 485 No No 0.00 0.00 No No No
## 486 No No 0.00 0.00 Yes No No
## 487 Yes Yes 34.55 316.75 No No Yes
## 488 No Yes 22.75 129.45 Yes No No
## 489 Yes No 0.00 0.00 Yes No No
## 490 No Yes 36.15 1641.00 Yes No Yes
## 491 Yes No 0.00 0.00 Yes No No
## 492 Yes No 0.00 0.00 Yes No Yes
## 493 No No 0.00 0.00 No No No
## 494 Yes Yes 53.90 3062.15 Yes Yes Yes
## 495 Yes No 0.00 0.00 No No No
## 496 Yes No 0.00 0.00 Yes No No
## 497 Yes No 0.00 0.00 No No No
## 498 No No 0.00 0.00 Yes Yes No
## 499 Yes Yes 46.35 2674.50 No No Yes
## 500 Yes No 0.00 0.00 No No No
## 501 Yes No 0.00 0.00 No No Yes
## 502 Yes No 0.00 0.00 No No No
## 503 Yes Yes 35.65 1147.00 No Yes Yes
## 504 Yes No 0.00 0.00 No No No
## 505 Yes Yes 41.20 711.40 Yes Yes Yes
## 506 Yes No 0.00 0.00 No No No
## 507 Yes No 0.00 0.00 Yes No No
## 508 Yes Yes 30.20 1559.25 Yes Yes No
## 509 Yes Yes 49.80 2863.00 Yes Yes Yes
## 510 Yes No 0.00 0.00 No No No
## 511 Yes No 0.00 0.00 Yes No No
## 512 Yes No 0.00 0.00 Yes No No
## 513 Yes Yes 40.20 1853.15 No Yes Yes
## 514 Yes No 0.00 0.00 No No No
## 515 Yes No 0.00 0.00 Yes No No
## 516 No No 0.00 0.00 Yes No No
## 517 Yes Yes 39.95 2049.85 Yes Yes Yes
## 518 Yes No 0.00 0.00 No No No
## 519 Yes No 0.00 0.00 No No No
## 520 Yes No 0.00 0.00 Yes No No
## 521 Yes No 0.00 0.00 No No No
## 522 Yes Yes 60.35 1446.85 Yes Yes Yes
## 523 Yes No 0.00 0.00 Yes No No
## 524 Yes No 0.00 0.00 Yes No No
## 525 Yes No 0.00 0.00 No No No
## 526 No Yes 20.35 632.35 No No No
## 527 Yes No 0.00 0.00 Yes No No
## 528 Yes No 0.00 0.00 No No No
## 529 No No 0.00 0.00 No No No
## 530 Yes Yes 86.30 2647.25 Yes Yes Yes
## 531 Yes No 0.00 0.00 No Yes No
## 532 No No 0.00 0.00 No No No
## 533 Yes No 0.00 0.00 No No Yes
## 534 No Yes 32.60 1479.30 No Yes Yes
## 535 Yes No 0.00 0.00 Yes Yes No
## 536 Yes No 0.00 0.00 Yes No No
## 537 Yes No 0.00 0.00 Yes No No
## 538 Yes No 0.00 0.00 Yes Yes No
## 539 Yes No 0.00 0.00 Yes No No
## 540 Yes No 0.00 0.00 Yes Yes No
## 541 Yes No 0.00 0.00 No No No
## 542 Yes No 0.00 0.00 No No No
## 543 Yes No 0.00 0.00 No No No
## 544 Yes No 0.00 0.00 Yes No No
## 545 Yes No 0.00 0.00 No No No
## 546 Yes No 0.00 0.00 Yes No No
## 547 No No 0.00 0.00 No No No
## 548 Yes Yes 35.50 1289.55 Yes Yes Yes
## 549 No No 0.00 0.00 No No No
## 550 No Yes 26.80 518.95 Yes No Yes
## 551 Yes No 0.00 0.00 Yes No No
## 552 No Yes 27.10 713.30 No Yes Yes
## 553 Yes No 0.00 0.00 Yes No No
## 554 Yes Yes 67.70 4530.10 Yes Yes Yes
## 555 No No 0.00 0.00 Yes No No
## 556 Yes No 0.00 0.00 Yes No No
## 557 No No 0.00 0.00 No No No
## 558 No No 0.00 0.00 No No No
## 559 No No 0.00 0.00 No No No
## 560 Yes No 0.00 0.00 Yes No No
## 561 Yes No 0.00 0.00 Yes No No
## 562 No No 0.00 0.00 Yes No No
## 563 Yes No 0.00 0.00 Yes No No
## 564 Yes No 0.00 0.00 No No No
## 565 No No 0.00 0.00 No No No
## 566 No No 0.00 0.00 Yes No No
## 567 Yes No 0.00 0.00 No No No
## 568 Yes Yes 12.70 12.70 No No Yes
## 569 Yes No 0.00 0.00 No No No
## 570 Yes Yes 45.30 1457.00 No Yes Yes
## 571 Yes Yes 26.75 628.15 No No No
## 572 Yes Yes 22.90 525.65 No Yes No
## 573 Yes Yes 45.85 2946.25 Yes Yes Yes
## 574 Yes No 0.00 0.00 Yes No No
## 575 Yes No 0.00 0.00 Yes No No
## 576 Yes Yes 62.00 2954.75 Yes Yes Yes
## 577 Yes Yes 25.50 1195.05 Yes No No
## 578 Yes No 0.00 0.00 No No No
## 579 Yes No 0.00 0.00 Yes Yes Yes
## 580 Yes No 0.00 0.00 No No No
## 581 Yes Yes 45.40 3093.05 Yes Yes Yes
## 582 Yes Yes 42.85 2879.10 Yes Yes No
## 583 Yes No 0.00 0.00 Yes No No
## 584 No Yes 18.20 18.20 Yes Yes Yes
## 585 No Yes 31.65 88.60 No Yes Yes
## 586 No No 0.00 0.00 No No No
## 587 Yes Yes 100.25 7217.10 Yes Yes Yes
## 588 No No 0.00 0.00 Yes No No
## 589 Yes No 0.00 0.00 No No No
## 590 No No 0.00 0.00 No No No
## 591 No No 0.00 0.00 Yes Yes Yes
## 592 Yes No 0.00 0.00 Yes No No
## 593 Yes No 0.00 0.00 No No No
## 594 Yes No 0.00 0.00 No No No
## 595 No No 0.00 0.00 No No No
## 596 No No 0.00 0.00 No No No
## 597 Yes No 0.00 0.00 Yes Yes Yes
## 598 No No 0.00 0.00 No No No
## 599 Yes No 0.00 0.00 No No No
## 600 No No 0.00 0.00 No No No
## 601 Yes No 0.00 0.00 Yes No No
## 602 No Yes 42.65 2180.55 Yes No Yes
## 603 Yes Yes 35.85 2014.75 Yes Yes No
## 604 Yes No 0.00 0.00 No No No
## 605 Yes No 0.00 0.00 Yes No No
## 606 No No 0.00 0.00 No No Yes
## 607 Yes No 0.00 0.00 No No No
## 608 Yes No 0.00 0.00 No No No
## 609 No Yes 23.85 898.60 No No No
## 610 No Yes 30.50 558.80 Yes Yes Yes
## 611 No No 0.00 0.00 Yes No No
## 612 Yes No 0.00 0.00 Yes No No
## 613 Yes No 0.00 0.00 Yes Yes No
## 614 Yes No 0.00 0.00 Yes Yes No
## 615 Yes Yes 16.90 16.90 No No No
## 616 Yes No 0.00 0.00 Yes No No
## 617 No Yes 23.50 632.20 No No No
## 618 No No 0.00 0.00 No No Yes
## 619 Yes Yes 79.05 3649.95 Yes Yes Yes
## 620 Yes No 0.00 0.00 Yes No No
## 621 Yes Yes 18.55 174.50 No Yes Yes
## 622 Yes Yes 57.00 780.20 Yes Yes Yes
## 623 No No 0.00 0.00 Yes No No
## 624 No No 0.00 0.00 No No No
## 625 No No 0.00 0.00 Yes No No
## 626 Yes No 0.00 0.00 Yes No No
## 627 Yes No 0.00 0.00 No No No
## 628 Yes No 0.00 0.00 Yes No No
## 629 Yes No 0.00 0.00 Yes No No
## 630 No No 0.00 0.00 No No No
## 631 Yes Yes 46.15 3222.35 Yes No Yes
## 632 Yes No 0.00 0.00 Yes Yes No
## 633 Yes Yes 119.10 4748.90 Yes Yes Yes
## 634 Yes No 0.00 0.00 No No No
## 635 Yes Yes 22.90 277.10 Yes Yes No
## 636 Yes No 0.00 0.00 Yes No No
## 637 Yes Yes 77.40 4934.20 Yes Yes Yes
## 638 Yes Yes 27.15 966.40 No Yes Yes
## 639 Yes Yes 29.15 791.35 Yes Yes Yes
## 640 Yes Yes 47.75 2577.75 Yes Yes Yes
## 641 No No 0.00 0.00 No No No
## 642 No No 0.00 0.00 No No No
## 643 Yes Yes 51.60 1428.15 Yes Yes No
## 644 No Yes 25.40 810.85 Yes No Yes
## 645 Yes Yes 48.35 1578.60 Yes Yes Yes
## 646 No Yes 43.20 287.05 Yes Yes Yes
## 647 Yes No 0.00 0.00 Yes No No
## 648 Yes Yes 33.30 2323.80 No Yes No
## 649 Yes Yes 92.10 5146.60 Yes Yes Yes
## 650 Yes No 0.00 0.00 No No No
## 651 No Yes 21.00 277.95 Yes No No
## 652 Yes No 0.00 0.00 No No No
## 653 Yes Yes 28.20 1841.00 Yes Yes Yes
## 654 Yes No 0.00 0.00 No No No
## 655 Yes Yes 64.80 658.95 No Yes Yes
## 656 Yes No 0.00 0.00 No No No
## 657 Yes Yes 24.10 14.60 No Yes Yes
## 658 Yes No 0.00 0.00 No No No
## 659 Yes Yes 47.70 2211.30 Yes No Yes
## 660 Yes Yes 24.00 1462.55 Yes No No
## 661 Yes No 0.00 0.00 No No No
## 662 Yes Yes 46.35 958.45 Yes Yes No
## 663 Yes No 0.00 0.00 No No No
## 664 Yes No 0.00 0.00 No No No
## 665 No No 0.00 0.00 No No No
## 666 Yes No 0.00 0.00 Yes No No
## 667 Yes No 0.00 0.00 Yes No No
## 668 Yes Yes 42.40 1854.70 Yes Yes No
## 669 Yes Yes 43.55 3012.05 Yes No No
## 670 No No 0.00 0.00 No No No
## 671 No No 0.00 0.00 No Yes No
## 672 Yes Yes 43.55 837.30 Yes Yes Yes
## 673 Yes No 0.00 0.00 No No No
## 674 Yes No 0.00 0.00 No No No
## 675 Yes Yes 64.15 4092.35 Yes Yes Yes
## 676 No No 0.00 0.00 No No No
## 677 No No 0.00 0.00 Yes No No
## 678 Yes Yes 48.65 1952.25 Yes Yes Yes
## 679 No No 0.00 0.00 Yes No No
## 680 Yes Yes 32.05 1666.00 Yes Yes No
## 681 Yes Yes 22.30 368.65 No Yes Yes
## 682 Yes Yes 32.70 1671.30 Yes Yes No
## 683 No No 0.00 0.00 No No No
## 684 No No 0.00 0.00 No No No
## 685 Yes Yes 31.50 613.90 No Yes Yes
## 686 Yes No 0.00 0.00 Yes No No
## 687 Yes No 0.00 0.00 Yes No No
## 688 No No 0.00 0.00 No No No
## 689 No No 0.00 0.00 No No No
## 690 No No 0.00 0.00 Yes No No
## 691 Yes No 0.00 0.00 No No No
## 692 No No 0.00 0.00 No No No
## 693 No No 0.00 0.00 No No No
## 694 No No 0.00 0.00 Yes Yes No
## 695 Yes Yes 28.00 1268.95 No Yes Yes
## 696 No No 0.00 0.00 Yes Yes No
## 697 No No 0.00 0.00 Yes Yes No
## 698 Yes Yes 31.35 1838.20 Yes Yes No
## 699 Yes No 0.00 0.00 Yes No Yes
## 700 Yes No 0.00 0.00 Yes No No
## 701 No Yes 27.75 568.70 Yes Yes Yes
## 702 Yes Yes 23.75 360.15 Yes Yes No
## 703 No No 0.00 0.00 No Yes Yes
## 704 No No 0.00 0.00 No Yes No
## 705 No No 0.00 0.00 Yes No No
## 706 Yes No 0.00 0.00 No No No
## 707 Yes Yes 56.15 3835.85 Yes Yes Yes
## 708 Yes Yes 65.45 4278.20 Yes Yes Yes
## 709 No Yes 30.05 623.10 Yes No Yes
## 710 Yes Yes 62.35 2386.25 Yes Yes Yes
## 711 Yes No 0.00 0.00 No No No
## 712 No No 0.00 0.00 No No No
## 713 Yes No 0.00 0.00 No No No
## 714 Yes No 0.00 0.00 No Yes No
## 715 No No 0.00 0.00 No No No
## 716 Yes No 0.00 0.00 Yes No No
## 717 Yes No 0.00 0.00 No No No
## 718 Yes No 0.00 0.00 No No No
## 719 Yes No 0.00 0.00 Yes No No
## 720 Yes No 0.00 0.00 No No No
## 721 Yes No 0.00 0.00 Yes No No
## 722 Yes No 0.00 0.00 Yes Yes No
## 723 Yes No 0.00 0.00 No Yes No
## 724 No No 0.00 0.00 No No No
## 725 Yes No 0.00 0.00 Yes No Yes
## 726 Yes No 0.00 0.00 No No No
## 727 No No 0.00 0.00 No No No
## 728 Yes No 0.00 0.00 Yes Yes Yes
## 729 No No 0.00 0.00 No No No
## 730 No No 0.00 0.00 No Yes No
## 731 Yes No 0.00 0.00 No No No
## 732 Yes Yes 22.40 414.15 No Yes Yes
## 733 No Yes 42.70 2077.60 Yes Yes Yes
## 734 Yes No 0.00 0.00 Yes No No
## 735 No No 0.00 0.00 No No No
## 736 Yes No 0.00 0.00 Yes No No
## 737 Yes No 0.00 0.00 Yes No No
## 738 Yes No 0.00 0.00 No No No
## 739 No No 0.00 0.00 No No No
## 740 Yes No 0.00 0.00 Yes No No
## 741 Yes No 0.00 0.00 No No No
## 742 No Yes 45.30 863.25 Yes No Yes
## 743 Yes No 0.00 0.00 Yes No No
## 744 Yes Yes 17.70 412.75 Yes No No
## 745 Yes No 0.00 0.00 Yes Yes No
## 746 Yes Yes 37.85 1206.90 Yes Yes Yes
## 747 Yes No 0.00 0.00 No No No
## 748 No No 0.00 0.00 Yes No No
## 749 Yes Yes 39.65 544.00 No Yes Yes
## 750 Yes No 0.00 0.00 Yes No Yes
## 751 Yes No 0.00 0.00 Yes No No
## 752 Yes No 0.00 0.00 No Yes No
## 753 No Yes 37.10 240.70 No Yes Yes
## 754 Yes No 0.00 0.00 Yes No Yes
## 755 Yes No 0.00 0.00 Yes Yes No
## 756 Yes No 0.00 0.00 Yes No No
## 757 Yes No 0.00 0.00 No No No
## 758 Yes No 0.00 0.00 Yes No Yes
## 759 No Yes 28.40 875.05 No Yes No
## 760 Yes No 0.00 0.00 No No No
## 761 Yes Yes 15.20 34.00 No No No
## 762 Yes No 0.00 0.00 No No No
## 763 Yes No 0.00 0.00 Yes No No
## 764 Yes No 0.00 0.00 No No No
## 765 Yes No 0.00 0.00 Yes No No
## 766 No No 0.00 0.00 No No No
## 767 No No 0.00 0.00 No No No
## 768 No No 0.00 0.00 Yes No Yes
## 769 No No 0.00 0.00 No No No
## 770 Yes Yes 31.15 2096.05 Yes No No
## 771 No No 0.00 0.00 Yes No No
## 772 Yes Yes 80.80 3549.50 Yes Yes Yes
## 773 No Yes 85.40 1792.05 Yes Yes Yes
## 774 Yes No 0.00 0.00 No Yes No
## 775 Yes Yes 39.45 314.80 No Yes Yes
## 776 Yes Yes 23.20 100.15 Yes Yes No
## 777 Yes No 0.00 0.00 Yes Yes Yes
## 778 Yes Yes 26.55 348.65 No Yes Yes
## 779 Yes No 0.00 0.00 No No No
## 780 Yes No 0.00 0.00 Yes No No
## 781 Yes No 0.00 0.00 No Yes No
## 782 Yes No 0.00 0.00 No No No
## 783 Yes No 0.00 0.00 Yes Yes Yes
## 784 Yes No 0.00 0.00 No No No
## 785 Yes No 0.00 0.00 No No No
## 786 No No 0.00 0.00 No No No
## 787 Yes No 0.00 0.00 Yes No No
## 788 Yes Yes 49.90 2260.65 Yes Yes Yes
## 789 Yes Yes 31.70 850.45 Yes Yes Yes
## 790 No Yes 39.95 494.00 No Yes Yes
## 791 Yes No 0.00 0.00 No No No
## 792 Yes No 0.00 0.00 No Yes Yes
## 793 No No 0.00 0.00 No No No
## 794 Yes No 0.00 0.00 No No No
## 795 Yes No 0.00 0.00 Yes Yes Yes
## 796 Yes No 0.00 0.00 Yes No No
## 797 Yes No 0.00 0.00 Yes No No
## 798 Yes No 0.00 0.00 No No No
## 799 Yes No 0.00 0.00 No No No
## 800 Yes No 0.00 0.00 No No No
## 801 Yes Yes 36.60 1858.65 Yes Yes Yes
## 802 Yes No 0.00 0.00 Yes No No
## 803 Yes No 0.00 0.00 No No No
## 804 Yes Yes 24.80 1390.50 No No No
## 805 No No 0.00 0.00 No No No
## 806 Yes Yes 35.70 1890.15 Yes No Yes
## 807 Yes No 0.00 0.00 No No No
## 808 Yes Yes 22.65 445.75 No Yes No
## 809 No No 0.00 0.00 No No No
## 810 Yes Yes 19.90 230.55 No No No
## 811 No No 0.00 0.00 No No No
## 812 Yes No 0.00 0.00 Yes No No
## 813 Yes Yes 40.95 216.95 Yes Yes Yes
## 814 Yes No 0.00 0.00 Yes No No
## 815 Yes No 0.00 0.00 Yes Yes No
## 816 Yes No 0.00 0.00 No No No
## 817 Yes No 0.00 0.00 No No No
## 818 Yes No 0.00 0.00 No No No
## 819 Yes No 0.00 0.00 Yes No No
## 820 No No 0.00 0.00 No No No
## 821 Yes No 0.00 0.00 Yes No No
## 822 Yes No 0.00 0.00 Yes No No
## 823 Yes No 0.00 0.00 No No No
## 824 No No 0.00 0.00 No No No
## 825 No No 0.00 0.00 No Yes Yes
## 826 Yes Yes 36.85 2331.45 Yes Yes Yes
## 827 Yes No 0.00 0.00 Yes Yes No
## 828 Yes No 0.00 0.00 No No No
## 829 Yes No 0.00 0.00 No No No
## 830 Yes No 0.00 0.00 No No No
## 831 Yes No 0.00 0.00 Yes No No
## 832 Yes No 0.00 0.00 No No No
## 833 Yes No 0.00 0.00 Yes Yes No
## 834 Yes No 0.00 0.00 No No No
## 835 Yes Yes 21.15 192.90 No Yes Yes
## 836 Yes Yes 27.20 1208.95 Yes Yes No
## 837 Yes No 0.00 0.00 No No No
## 838 No No 0.00 0.00 Yes No No
## 839 No No 0.00 0.00 No No No
## 840 No No 0.00 0.00 Yes Yes No
## 841 Yes Yes 55.45 2696.80 Yes Yes Yes
## 842 No No 0.00 0.00 No No No
## 843 No No 0.00 0.00 Yes No No
## 844 No No 0.00 0.00 Yes No No
## 845 Yes Yes 17.00 157.05 No No No
## 846 No No 0.00 0.00 No No No
## 847 Yes No 0.00 0.00 Yes No No
## 848 No No 0.00 0.00 Yes No No
## 849 Yes Yes 56.25 2152.20 Yes Yes Yes
## 850 No No 0.00 0.00 No Yes No
## 851 Yes Yes 40.25 2804.70 Yes Yes Yes
## 852 Yes No 0.00 0.00 Yes No No
## 853 Yes No 0.00 0.00 Yes Yes No
## 854 Yes No 0.00 0.00 No No No
## 855 No No 0.00 0.00 No No No
## 856 Yes Yes 24.60 333.35 No Yes No
## 857 No Yes 20.55 578.85 Yes No No
## 858 Yes No 0.00 0.00 No No No
## 859 Yes No 0.00 0.00 Yes No No
## 860 Yes No 0.00 0.00 No No No
## 861 Yes No 0.00 0.00 No No No
## 862 No No 0.00 0.00 No No No
## 863 Yes Yes 27.45 406.90 Yes No Yes
## 864 Yes No 0.00 0.00 Yes No No
## 865 Yes Yes 40.55 2448.45 Yes Yes Yes
## 866 Yes No 0.00 0.00 Yes No No
## 867 Yes No 0.00 0.00 No No No
## 868 No No 0.00 0.00 Yes No No
## 869 Yes No 0.00 0.00 No No No
## 870 Yes Yes 91.15 3606.85 Yes Yes Yes
## 871 Yes No 0.00 0.00 No Yes Yes
## 872 No No 0.00 0.00 Yes No No
## 873 No No 0.00 0.00 No No No
## 874 Yes Yes 18.00 139.70 No No No
## 875 No No 0.00 0.00 No No No
## 876 Yes Yes 56.65 4051.00 Yes Yes Yes
## 877 Yes No 0.00 0.00 Yes No Yes
## 878 Yes No 0.00 0.00 No No No
## 879 Yes No 0.00 0.00 No No No
## 880 Yes No 0.00 0.00 Yes Yes No
## 881 Yes No 0.00 0.00 No Yes No
## 882 No No 0.00 0.00 No No No
## 883 Yes No 0.00 0.00 No No No
## 884 Yes No 0.00 0.00 No No No
## 885 Yes Yes 34.35 407.90 No Yes Yes
## 886 No No 0.00 0.00 Yes No No
## 887 Yes No 0.00 0.00 Yes No No
## 888 Yes No 0.00 0.00 No No No
## 889 Yes No 0.00 0.00 Yes No No
## 890 Yes Yes 33.20 680.20 No Yes No
## 891 Yes No 0.00 0.00 No No No
## 892 Yes No 0.00 0.00 No No No
## 893 Yes No 0.00 0.00 Yes No Yes
## 894 No No 0.00 0.00 No No No
## 895 Yes No 0.00 0.00 No No No
## 896 Yes Yes 40.10 1101.85 Yes Yes Yes
## 897 Yes No 0.00 0.00 No No No
## 898 Yes No 0.00 0.00 Yes No No
## 899 No No 0.00 0.00 Yes No No
## 900 Yes Yes 67.05 4755.65 Yes Yes Yes
## 901 Yes No 0.00 0.00 Yes No No
## 902 No No 0.00 0.00 No No No
## 903 Yes Yes 31.15 1324.10 Yes No Yes
## 904 Yes No 0.00 0.00 No No Yes
## 905 Yes No 0.00 0.00 No No No
## 906 Yes No 0.00 0.00 No No No
## 907 Yes No 0.00 0.00 Yes No Yes
## 908 Yes Yes 49.65 2957.00 No Yes No
## 909 Yes No 0.00 0.00 No No Yes
## 910 Yes No 0.00 0.00 Yes No No
## 911 No No 0.00 0.00 No No No
## 912 Yes Yes 23.90 636.90 Yes No No
## 913 Yes No 0.00 0.00 No No No
## 914 No No 0.00 0.00 Yes No No
## 915 Yes No 0.00 0.00 Yes No No
## 916 Yes No 0.00 0.00 Yes No No
## 917 No No 0.00 0.00 No No Yes
## 918 Yes Yes 26.45 414.35 Yes Yes No
## 919 Yes No 0.00 0.00 Yes Yes Yes
## 920 No No 0.00 0.00 Yes No No
## 921 Yes Yes 44.80 2067.55 Yes Yes Yes
## 922 No No 0.00 0.00 Yes No No
## 923 Yes No 0.00 0.00 No No No
## 924 Yes No 0.00 0.00 Yes No No
## 925 Yes No 0.00 0.00 No Yes No
## 926 Yes No 0.00 0.00 No No No
## 927 Yes No 0.00 0.00 Yes No No
## 928 No Yes 35.85 1238.60 Yes Yes Yes
## 929 No No 0.00 0.00 Yes Yes No
## 930 Yes No 0.00 0.00 No No No
## 931 No No 0.00 0.00 No No No
## 932 Yes Yes 30.35 1278.95 Yes No Yes
## 933 Yes Yes 27.80 1659.45 Yes Yes No
## 934 Yes No 0.00 0.00 No No No
## 935 Yes No 0.00 0.00 Yes No No
## 936 Yes No 0.00 0.00 No No No
## 937 No No 0.00 0.00 No No No
## 938 Yes No 0.00 0.00 Yes No No
## 939 No Yes 14.55 14.55 No No No
## 940 No No 0.00 0.00 No No No
## 941 Yes No 0.00 0.00 No No No
## 942 Yes No 0.00 0.00 Yes No No
## 943 Yes No 0.00 0.00 Yes Yes Yes
## 944 No No 0.00 0.00 No No No
## 945 Yes No 0.00 0.00 Yes No No
## 946 No No 0.00 0.00 Yes Yes No
## 947 No No 0.00 0.00 No No No
## 948 No No 0.00 0.00 No No No
## 949 Yes No 0.00 0.00 No No No
## 950 Yes No 0.00 0.00 Yes Yes Yes
## 951 No No 0.00 0.00 No No No
## 952 Yes No 0.00 0.00 No No No
## 953 Yes No 0.00 0.00 No No No
## 954 Yes No 0.00 0.00 No No No
## 955 No No 0.00 0.00 Yes No No
## 956 Yes Yes 34.85 1608.85 Yes Yes Yes
## 957 Yes No 0.00 0.00 Yes No No
## 958 Yes Yes 48.00 1156.20 Yes Yes Yes
## 959 Yes No 0.00 0.00 No No No
## 960 No No 0.00 0.00 No No No
## 961 Yes Yes 32.80 2004.90 Yes Yes Yes
## 962 Yes Yes 68.60 1182.25 Yes Yes Yes
## 963 Yes No 0.00 0.00 Yes No No
## 964 No No 0.00 0.00 No Yes No
## 965 Yes No 0.00 0.00 Yes No No
## 966 No No 0.00 0.00 No No No
## 967 Yes No 0.00 0.00 Yes No Yes
## 968 No No 0.00 0.00 Yes No No
## 969 Yes No 0.00 0.00 No No No
## 970 Yes No 0.00 0.00 No No No
## 971 Yes No 0.00 0.00 No No No
## 972 Yes Yes 24.80 321.10 No Yes Yes
## 973 Yes No 0.00 0.00 Yes No No
## 974 Yes Yes 25.55 319.65 No Yes Yes
## 975 Yes No 0.00 0.00 Yes No No
## 976 Yes No 0.00 0.00 Yes No No
## 977 No No 0.00 0.00 Yes Yes No
## 978 No No 0.00 0.00 No No No
## 979 Yes No 0.00 0.00 No No No
## 980 Yes Yes 48.95 2193.75 Yes Yes Yes
## 981 Yes No 0.00 0.00 No Yes No
## 982 Yes No 0.00 0.00 Yes No No
## 983 Yes Yes 77.45 1919.05 Yes Yes Yes
## 984 No No 0.00 0.00 No No No
## 985 No No 0.00 0.00 No No No
## 986 Yes No 0.00 0.00 Yes No No
## 987 Yes Yes 32.20 1031.45 No Yes Yes
## 988 Yes No 0.00 0.00 Yes No No
## 989 No No 0.00 0.00 No No No
## 990 Yes No 0.00 0.00 Yes No No
## 991 Yes No 0.00 0.00 Yes No No
## 992 Yes No 0.00 0.00 Yes No No
## 993 Yes Yes 42.65 2239.70 Yes Yes Yes
## 994 No No 0.00 0.00 Yes No No
## 995 No No 0.00 0.00 No Yes No
## 996 Yes No 0.00 0.00 Yes No No
## 997 Yes Yes 64.95 3308.85 Yes Yes Yes
## 998 Yes No 0.00 0.00 No No No
## 999 Yes Yes 32.80 32.80 No Yes Yes
## 1000 No No 0.00 0.00 Yes No No
## 1001 Yes No 0.00 0.00 Yes Yes Yes
## 1002 Yes No 0.00 0.00 No No No
## 1003 Yes No 0.00 0.00 No No No
## 1004 No No 0.00 0.00 No No No
## 1005 Yes No 0.00 0.00 Yes No No
## 1006 No No 0.00 0.00 Yes No No
## 1007 Yes No 0.00 0.00 No No No
## 1008 Yes No 0.00 0.00 No No No
## 1009 No No 0.00 0.00 No No No
## 1010 No No 0.00 0.00 No No Yes
## 1011 Yes No 0.00 0.00 No No No
## 1012 Yes No 0.00 0.00 No No No
## 1013 Yes Yes 96.30 6687.30 Yes Yes Yes
## 1014 Yes No 0.00 0.00 No No No
## 1015 No No 0.00 0.00 No No No
## 1016 Yes No 0.00 0.00 Yes No No
## 1017 Yes No 0.00 0.00 No No No
## 1018 Yes No 0.00 0.00 Yes No No
## 1019 Yes No 0.00 0.00 Yes No Yes
## 1020 Yes No 0.00 0.00 No No No
## 1021 Yes No 0.00 0.00 No No No
## 1022 Yes No 0.00 0.00 Yes Yes Yes
## 1023 No Yes 23.65 67.75 No No No
## 1024 No Yes 24.10 949.10 Yes Yes Yes
## 1025 No Yes 30.05 607.15 Yes Yes Yes
## 1026 Yes No 0.00 0.00 Yes No No
## 1027 Yes Yes 25.70 692.30 Yes Yes Yes
## 1028 No No 0.00 0.00 No No No
## 1029 Yes Yes 51.10 3226.00 Yes Yes Yes
## 1030 Yes No 0.00 0.00 No No No
## 1031 No Yes 34.30 1419.15 Yes Yes Yes
## 1032 No No 0.00 0.00 Yes No No
## 1033 Yes No 0.00 0.00 No No No
## 1034 Yes No 0.00 0.00 No No No
## 1035 Yes No 0.00 0.00 No No No
## 1036 Yes Yes 42.00 2929.35 Yes Yes Yes
## 1037 Yes No 0.00 0.00 Yes No No
## 1038 Yes No 0.00 0.00 Yes No No
## 1039 Yes Yes 26.85 342.95 No Yes Yes
## 1040 No No 0.00 0.00 Yes Yes Yes
## 1041 No No 0.00 0.00 No No No
## 1042 Yes Yes 48.00 3261.80 Yes Yes Yes
## 1043 Yes No 0.00 0.00 No No No
## 1044 No No 0.00 0.00 Yes No No
## 1045 Yes No 0.00 0.00 No No No
## 1046 Yes No 0.00 0.00 Yes No No
## 1047 Yes No 0.00 0.00 Yes No No
## 1048 No No 0.00 0.00 Yes Yes No
## 1049 No No 0.00 0.00 No Yes No
## 1050 Yes No 0.00 0.00 No No No
## 1051 No No 0.00 0.00 No No No
## 1052 Yes Yes 31.80 330.40 No No Yes
## 1053 Yes No 0.00 0.00 Yes No No
## 1054 Yes No 0.00 0.00 No Yes No
## 1055 Yes No 0.00 0.00 Yes No No
## 1056 Yes No 0.00 0.00 Yes No No
## 1057 Yes No 0.00 0.00 No No No
## 1058 Yes No 0.00 0.00 No No No
## 1059 No Yes 25.95 74.90 No No No
## 1060 Yes Yes 46.10 2793.75 Yes Yes Yes
## 1061 Yes Yes 38.00 472.30 No Yes Yes
## 1062 Yes No 0.00 0.00 No No No
## 1063 No Yes 38.20 901.55 Yes Yes Yes
## 1064 Yes No 0.00 0.00 Yes No No
## 1065 Yes Yes 186.25 12858.65 Yes Yes Yes
## 1066 Yes No 0.00 0.00 Yes Yes Yes
## 1067 Yes No 0.00 0.00 Yes No No
## 1068 Yes Yes 32.60 1450.50 Yes Yes Yes
## 1069 No No 0.00 0.00 Yes No No
## 1070 No No 0.00 0.00 No No No
## 1071 Yes No 0.00 0.00 No No No
## 1072 No No 0.00 0.00 Yes Yes No
## 1073 Yes Yes 31.95 461.00 Yes Yes No
## 1074 No No 0.00 0.00 No No No
## 1075 No No 0.00 0.00 No No No
## 1076 Yes No 0.00 0.00 Yes Yes No
## 1077 No No 0.00 0.00 Yes No No
## 1078 Yes No 0.00 0.00 Yes No No
## 1079 No Yes 22.85 29.60 Yes Yes Yes
## 1080 Yes No 0.00 0.00 Yes No No
## 1081 Yes Yes 31.05 582.30 No Yes Yes
## 1082 Yes Yes 18.10 116.80 No No No
## 1083 No No 0.00 0.00 No No No
## 1084 Yes Yes 32.85 712.90 Yes Yes Yes
## 1085 Yes No 0.00 0.00 Yes Yes No
## 1086 Yes No 0.00 0.00 No No No
## 1087 Yes Yes 39.35 1922.35 Yes Yes Yes
## 1088 Yes No 0.00 0.00 No No No
## 1089 Yes No 0.00 0.00 Yes No No
## 1090 Yes Yes 38.90 2056.60 No Yes Yes
## 1091 Yes No 0.00 0.00 Yes Yes Yes
## 1092 Yes Yes 50.40 812.65 No Yes Yes
## 1093 Yes Yes 29.80 707.30 No Yes No
## 1094 Yes Yes 69.45 4843.15 Yes Yes No
## 1095 Yes No 0.00 0.00 Yes No No
## 1096 Yes No 0.00 0.00 Yes No No
## 1097 No No 0.00 0.00 No Yes Yes
## 1098 Yes No 0.00 0.00 Yes No No
## 1099 No Yes 38.00 1585.00 Yes Yes No
## 1100 No No 0.00 0.00 No No No
## 1101 Yes No 0.00 0.00 Yes No No
## 1102 Yes No 0.00 0.00 No No No
## 1103 Yes Yes 44.90 3174.75 Yes No Yes
## 1104 Yes No 0.00 0.00 Yes No No
## 1105 Yes No 0.00 0.00 No No No
## 1106 Yes No 0.00 0.00 Yes No No
## 1107 No No 0.00 0.00 No No No
## 1108 No No 0.00 0.00 No No No
## 1109 Yes No 0.00 0.00 No No No
## 1110 Yes Yes 21.55 17.10 No Yes No
## 1111 Yes No 0.00 0.00 Yes No No
## 1112 Yes Yes 48.15 2440.80 Yes Yes Yes
## 1113 Yes No 0.00 0.00 Yes No No
## 1114 Yes No 0.00 0.00 Yes No No
## 1115 Yes No 0.00 0.00 No No No
## 1116 Yes No 0.00 0.00 No No No
## 1117 No Yes 18.95 20.90 No No No
## 1118 Yes No 0.00 0.00 Yes No No
## 1119 No No 0.00 0.00 No No No
## 1120 Yes No 0.00 0.00 Yes No No
## 1121 Yes Yes 37.70 2755.60 Yes Yes Yes
## 1122 Yes Yes 24.10 270.25 Yes No Yes
## 1123 Yes No 0.00 0.00 No No No
## 1124 No No 0.00 0.00 Yes No No
## 1125 No No 0.00 0.00 Yes No No
## 1126 No No 0.00 0.00 No No No
## 1127 No No 0.00 0.00 No No No
## 1128 No No 0.00 0.00 Yes No No
## 1129 Yes No 0.00 0.00 No No No
## 1130 Yes No 0.00 0.00 Yes No No
## 1131 Yes No 0.00 0.00 Yes No No
## 1132 Yes No 0.00 0.00 No No No
## 1133 No No 0.00 0.00 No No No
## 1134 No No 0.00 0.00 No No No
## 1135 Yes No 0.00 0.00 No Yes No
## 1136 No No 0.00 0.00 No No No
## 1137 Yes No 0.00 0.00 No Yes No
## 1138 No No 0.00 0.00 No No No
## 1139 Yes Yes 26.15 35.25 No Yes Yes
## 1140 No No 0.00 0.00 No No No
## 1141 Yes No 0.00 0.00 No No No
## 1142 No No 0.00 0.00 No No Yes
## 1143 Yes No 0.00 0.00 Yes No No
## 1144 Yes No 0.00 0.00 Yes No No
## 1145 Yes No 0.00 0.00 Yes No No
## 1146 Yes Yes 58.20 3562.35 Yes Yes Yes
## 1147 No Yes 18.90 225.85 Yes No No
## 1148 Yes Yes 47.35 3212.55 Yes Yes Yes
## 1149 Yes Yes 16.75 67.50 No Yes No
## 1150 Yes No 0.00 0.00 No No No
## 1151 Yes No 0.00 0.00 No No No
## 1152 Yes No 0.00 0.00 No No No
## 1153 Yes No 0.00 0.00 Yes No No
## 1154 Yes Yes 28.30 373.05 No Yes No
## 1155 Yes No 0.00 0.00 Yes No No
## 1156 Yes Yes 23.15 23.15 No Yes Yes
## 1157 Yes No 0.00 0.00 Yes No No
## 1158 Yes No 0.00 0.00 Yes No No
## 1159 Yes No 0.00 0.00 No No No
## 1160 Yes No 0.00 0.00 No No No
## 1161 Yes Yes 50.20 2022.90 Yes Yes Yes
## 1162 No No 0.00 0.00 No No No
## 1163 No No 0.00 0.00 No No No
## 1164 No No 0.00 0.00 Yes No No
## 1165 Yes Yes 18.80 183.65 No Yes No
## 1166 Yes No 0.00 0.00 Yes No No
## 1167 No Yes 17.90 131.10 No Yes No
## 1168 No No 0.00 0.00 No No No
## 1169 Yes No 0.00 0.00 Yes No No
## 1170 Yes No 0.00 0.00 Yes No No
## 1171 No No 0.00 0.00 No No No
## 1172 Yes No 0.00 0.00 No No No
## 1173 Yes Yes 36.20 1557.25 No Yes No
## 1174 No No 0.00 0.00 No No No
## 1175 No No 0.00 0.00 Yes No No
## 1176 Yes No 0.00 0.00 Yes No No
## 1177 No No 0.00 0.00 Yes No No
## 1178 Yes No 0.00 0.00 Yes No No
## 1179 Yes Yes 27.45 1139.65 No No No
## 1180 Yes No 0.00 0.00 Yes No No
## 1181 No No 0.00 0.00 Yes No Yes
## 1182 No Yes 55.45 3361.85 Yes Yes Yes
## 1183 Yes Yes 38.75 348.05 Yes Yes Yes
## 1184 Yes No 0.00 0.00 No No No
## 1185 No Yes 17.75 99.20 Yes Yes Yes
## 1186 Yes Yes 33.20 1967.30 No Yes No
## 1187 No No 0.00 0.00 No No No
## 1188 Yes No 0.00 0.00 No Yes No
## 1189 Yes No 0.00 0.00 Yes No No
## 1190 Yes Yes 37.85 1245.10 Yes Yes Yes
## 1191 Yes No 0.00 0.00 No No No
## 1192 No No 0.00 0.00 No No No
## 1193 Yes Yes 38.75 2419.10 No No Yes
## 1194 Yes No 0.00 0.00 Yes Yes Yes
## 1195 Yes No 0.00 0.00 No Yes No
## 1196 Yes Yes 55.55 3386.75 Yes Yes Yes
## 1197 No No 0.00 0.00 Yes No No
## 1198 No No 0.00 0.00 No No No
## 1199 Yes No 0.00 0.00 No No No
## 1200 Yes No 0.00 0.00 No No Yes
## 1201 Yes No 0.00 0.00 Yes No No
## 1202 Yes No 0.00 0.00 Yes No No
## 1203 Yes No 0.00 0.00 Yes No No
## 1204 Yes No 0.00 0.00 Yes No No
## 1205 No No 0.00 0.00 No No No
## 1206 Yes No 0.00 0.00 Yes No No
## 1207 No Yes 23.80 624.45 Yes No No
## 1208 No No 0.00 0.00 Yes Yes Yes
## 1209 Yes No 0.00 0.00 No No No
## 1210 Yes No 0.00 0.00 No No No
## 1211 No No 0.00 0.00 No No No
## 1212 Yes No 0.00 0.00 Yes No No
## 1213 Yes No 0.00 0.00 No No No
## 1214 Yes Yes 85.05 5857.35 Yes Yes Yes
## 1215 Yes No 0.00 0.00 No No No
## 1216 Yes No 0.00 0.00 No No No
## 1217 No No 0.00 0.00 No No No
## 1218 Yes No 0.00 0.00 Yes No No
## 1219 Yes No 0.00 0.00 Yes Yes Yes
## 1220 No No 0.00 0.00 Yes Yes No
## 1221 No No 0.00 0.00 No No No
## 1222 Yes No 0.00 0.00 No No No
## 1223 Yes No 0.00 0.00 Yes No No
## 1224 Yes No 0.00 0.00 No No No
## 1225 Yes Yes 30.70 30.70 No Yes Yes
## 1226 Yes No 0.00 0.00 Yes No No
## 1227 Yes No 0.00 0.00 Yes No No
## 1228 Yes No 0.00 0.00 No No No
## 1229 Yes No 0.00 0.00 No Yes No
## 1230 Yes Yes 51.50 3462.90 No Yes Yes
## 1231 Yes No 0.00 0.00 No No No
## 1232 No No 0.00 0.00 No No No
## 1233 Yes Yes 40.65 2416.30 No Yes No
## 1234 No No 0.00 0.00 No No No
## 1235 No No 0.00 0.00 No Yes No
## 1236 No No 0.00 0.00 Yes No No
## 1237 Yes No 0.00 0.00 No No No
## 1238 Yes No 0.00 0.00 Yes No No
## 1239 Yes No 0.00 0.00 No No No
## 1240 Yes Yes 52.80 3791.95 Yes Yes Yes
## 1241 No No 0.00 0.00 Yes No Yes
## 1242 Yes Yes 33.65 980.25 Yes Yes Yes
## 1243 Yes No 0.00 0.00 Yes No No
## 1244 Yes Yes 39.20 1613.10 No Yes Yes
## 1245 Yes Yes 65.90 4567.60 Yes Yes Yes
## 1246 Yes Yes 67.80 4516.40 Yes Yes Yes
## 1247 No No 0.00 0.00 Yes No No
## 1248 No No 0.00 0.00 No No No
## 1249 Yes No 0.00 0.00 Yes No No
## 1250 Yes Yes 46.80 2808.95 Yes Yes Yes
## 1251 No No 0.00 0.00 No No No
## 1252 Yes Yes 37.75 506.15 Yes Yes Yes
## 1253 No No 0.00 0.00 No No No
## 1254 Yes No 0.00 0.00 Yes No No
## 1255 Yes No 0.00 0.00 Yes No No
## 1256 No No 0.00 0.00 Yes No No
## 1257 Yes No 0.00 0.00 Yes No No
## 1258 No No 0.00 0.00 No No No
## 1259 Yes No 0.00 0.00 No Yes No
## 1260 Yes No 0.00 0.00 Yes No No
## 1261 Yes No 0.00 0.00 Yes No No
## 1262 Yes No 0.00 0.00 Yes No No
## 1263 Yes Yes 49.00 2155.40 No Yes Yes
## 1264 Yes No 0.00 0.00 Yes No No
## 1265 No No 0.00 0.00 No No No
## 1266 Yes No 0.00 0.00 No No No
## 1267 Yes Yes 31.45 1672.20 Yes No Yes
## 1268 No No 0.00 0.00 No No No
## 1269 Yes No 0.00 0.00 Yes No No
## 1270 Yes No 0.00 0.00 No No No
## 1271 No No 0.00 0.00 No No No
## 1272 No No 0.00 0.00 No No No
## 1273 Yes No 0.00 0.00 No No No
## 1274 No No 0.00 0.00 Yes Yes No
## 1275 Yes Yes 22.10 794.45 No No No
## 1276 Yes No 0.00 0.00 No No No
## 1277 Yes Yes 27.15 718.55 No Yes No
## 1278 Yes Yes 38.35 38.35 Yes Yes Yes
## 1279 Yes No 0.00 0.00 Yes No No
## 1280 Yes Yes 38.20 933.70 Yes Yes Yes
## 1281 Yes No 0.00 0.00 Yes Yes Yes
## 1282 Yes No 0.00 0.00 Yes No No
## 1283 Yes Yes 26.60 137.25 Yes Yes Yes
## 1284 Yes No 0.00 0.00 Yes No No
## 1285 Yes Yes 28.85 1877.60 Yes Yes Yes
## 1286 Yes No 0.00 0.00 Yes No Yes
## 1287 Yes Yes 20.20 91.05 No Yes No
## 1288 Yes No 0.00 0.00 No No No
## 1289 Yes Yes 39.15 1011.75 Yes Yes Yes
## 1290 No No 0.00 0.00 No No No
## 1291 No No 0.00 0.00 Yes Yes No
## 1292 Yes Yes 37.60 2413.25 Yes No No
## 1293 Yes Yes 77.25 5298.60 Yes Yes Yes
## 1294 Yes No 0.00 0.00 No No No
## 1295 Yes No 0.00 0.00 No No No
## 1296 Yes No 0.00 0.00 Yes No No
## 1297 No No 0.00 0.00 No No No
## 1298 Yes Yes 33.55 769.95 No Yes Yes
## 1299 Yes No 0.00 0.00 Yes No No
## 1300 No No 0.00 0.00 No No No
## 1301 No No 0.00 0.00 No No No
## 1302 No No 0.00 0.00 Yes No No
## 1303 No No 0.00 0.00 No No No
## 1304 Yes No 0.00 0.00 No Yes Yes
## 1305 No No 0.00 0.00 No No No
## 1306 Yes No 0.00 0.00 No No No
## 1307 Yes No 0.00 0.00 No No No
## 1308 Yes No 0.00 0.00 No No No
## 1309 No No 0.00 0.00 No No No
## 1310 Yes Yes 43.45 2966.95 Yes Yes No
## 1311 No No 0.00 0.00 Yes No No
## 1312 Yes No 0.00 0.00 Yes No No
## 1313 Yes No 0.00 0.00 No No No
## 1314 Yes Yes 35.15 737.50 Yes Yes Yes
## 1315 Yes No 0.00 0.00 Yes No No
## 1316 No Yes 23.60 1021.30 Yes Yes No
## 1317 Yes No 0.00 0.00 No Yes No
## 1318 Yes No 0.00 0.00 Yes No No
## 1319 Yes No 0.00 0.00 No No No
## 1320 Yes No 0.00 0.00 Yes No No
## 1321 Yes Yes 31.00 592.90 No Yes Yes
## 1322 Yes No 0.00 0.00 No No No
## 1323 No No 0.00 0.00 No No No
## 1324 Yes No 0.00 0.00 Yes No No
## 1325 No No 0.00 0.00 No No No
## 1326 No No 0.00 0.00 No No No
## 1327 No No 0.00 0.00 No No No
## 1328 Yes No 0.00 0.00 No No No
## 1329 No No 0.00 0.00 Yes Yes No
## 1330 Yes No 0.00 0.00 Yes Yes No
## 1331 Yes Yes 37.15 1703.50 Yes No No
## 1332 No No 0.00 0.00 Yes No No
## 1333 Yes No 0.00 0.00 No Yes No
## 1334 Yes No 0.00 0.00 No No No
## 1335 No Yes 17.50 662.60 Yes No No
## 1336 No No 0.00 0.00 Yes No No
## 1337 Yes Yes 24.05 127.05 No Yes Yes
## 1338 Yes Yes 40.70 832.25 Yes Yes Yes
## 1339 No Yes 38.55 249.95 No Yes Yes
## 1340 No No 0.00 0.00 No No No
## 1341 Yes Yes 28.85 260.20 No No Yes
## 1342 Yes No 0.00 0.00 No Yes No
## 1343 Yes Yes 35.20 1362.40 Yes Yes No
## 1344 No No 0.00 0.00 Yes Yes No
## 1345 Yes No 0.00 0.00 No No No
## 1346 Yes No 0.00 0.00 No No No
## 1347 Yes No 0.00 0.00 Yes No No
## 1348 No No 0.00 0.00 No No No
## 1349 No No 0.00 0.00 No No No
## 1350 No No 0.00 0.00 No No No
## 1351 Yes No 0.00 0.00 No No No
## 1352 No No 0.00 0.00 No No No
## 1353 Yes Yes 47.15 852.65 No Yes Yes
## 1354 Yes No 0.00 0.00 No No No
## 1355 No Yes 24.25 905.65 Yes Yes No
## 1356 No Yes 27.85 702.55 Yes Yes No
## 1357 No No 0.00 0.00 No No No
## 1358 No No 0.00 0.00 No No No
## 1359 No No 0.00 0.00 Yes No Yes
## 1360 Yes Yes 40.30 2323.80 Yes Yes No
## 1361 Yes Yes 18.10 344.55 Yes Yes No
## 1362 No No 0.00 0.00 Yes No No
## 1363 Yes No 0.00 0.00 Yes No No
## 1364 Yes No 0.00 0.00 No No No
## 1365 Yes No 0.00 0.00 No No No
## 1366 Yes Yes 29.80 167.45 No Yes Yes
## 1367 No No 0.00 0.00 No Yes No
## 1368 Yes Yes 33.70 2545.85 Yes Yes No
## 1369 Yes Yes 79.30 5477.95 Yes Yes Yes
## 1370 No No 0.00 0.00 No No No
## 1371 Yes Yes 39.30 456.90 No Yes Yes
## 1372 Yes No 0.00 0.00 No No No
## 1373 Yes No 0.00 0.00 Yes No No
## 1374 Yes No 0.00 0.00 Yes Yes No
## 1375 Yes No 0.00 0.00 Yes No No
## 1376 No No 0.00 0.00 No No No
## 1377 Yes No 0.00 0.00 No No No
## 1378 No No 0.00 0.00 Yes No No
## 1379 Yes No 0.00 0.00 No Yes No
## 1380 No No 0.00 0.00 No No No
## 1381 Yes Yes 25.35 772.15 Yes No Yes
## 1382 Yes Yes 29.05 929.35 Yes Yes Yes
## 1383 Yes Yes 25.60 1773.75 Yes Yes No
## 1384 No No 0.00 0.00 No No No
## 1385 Yes Yes 36.25 854.80 Yes Yes No
## 1386 Yes No 0.00 0.00 No No No
## 1387 No Yes 25.85 514.95 No No Yes
## 1388 Yes Yes 60.25 4224.55 Yes Yes Yes
## 1389 Yes No 0.00 0.00 Yes No No
## 1390 Yes Yes 31.15 1277.20 Yes Yes Yes
## 1391 Yes No 0.00 0.00 No No No
## 1392 Yes No 0.00 0.00 Yes No No
## 1393 Yes No 0.00 0.00 Yes No No
## 1394 Yes No 0.00 0.00 No Yes Yes
## 1395 Yes No 0.00 0.00 No No Yes
## 1396 Yes No 0.00 0.00 No No No
## 1397 Yes No 0.00 0.00 Yes No No
## 1398 No No 0.00 0.00 No No No
## 1399 Yes No 0.00 0.00 No No No
## 1400 No No 0.00 0.00 No No No
## 1401 No No 0.00 0.00 No No No
## 1402 Yes No 0.00 0.00 No No No
## 1403 Yes Yes 19.20 183.10 No Yes No
## 1404 Yes No 0.00 0.00 Yes No No
## 1405 Yes No 0.00 0.00 No No No
## 1406 Yes Yes 32.30 971.25 No Yes Yes
## 1407 Yes No 0.00 0.00 No No No
## 1408 No No 0.00 0.00 No No No
## 1409 Yes No 0.00 0.00 Yes No No
## 1410 Yes No 0.00 0.00 No No No
## 1411 Yes Yes 66.50 4618.05 Yes Yes Yes
## 1412 Yes No 0.00 0.00 No No No
## 1413 Yes Yes 37.35 1765.95 No Yes No
## 1414 Yes No 0.00 0.00 No No No
## 1415 Yes Yes 30.05 30.05 No Yes Yes
## 1416 Yes No 0.00 0.00 No No No
## 1417 Yes Yes 74.85 765.45 Yes Yes Yes
## 1418 Yes Yes 47.90 583.25 Yes Yes Yes
## 1419 No Yes 20.45 33.25 Yes No Yes
## 1420 Yes No 0.00 0.00 No Yes No
## 1421 Yes No 0.00 0.00 Yes No No
## 1422 No No 0.00 0.00 No No No
## 1423 Yes No 0.00 0.00 Yes No No
## 1424 No No 0.00 0.00 Yes No No
## 1425 Yes No 0.00 0.00 No No No
## 1426 Yes No 0.00 0.00 Yes No No
## 1427 No No 0.00 0.00 No No No
## 1428 Yes No 0.00 0.00 Yes No No
## 1429 Yes No 0.00 0.00 Yes Yes Yes
## 1430 Yes Yes 33.45 730.10 Yes Yes Yes
## 1431 Yes Yes 38.10 1862.45 Yes Yes Yes
## 1432 Yes No 0.00 0.00 No No No
## 1433 Yes Yes 37.55 2377.50 Yes Yes Yes
## 1434 Yes No 0.00 0.00 No Yes No
## 1435 Yes Yes 43.30 3013.10 Yes Yes Yes
## 1436 Yes Yes 45.85 2385.75 Yes Yes Yes
## 1437 Yes No 0.00 0.00 No No No
## 1438 No No 0.00 0.00 Yes No No
## 1439 Yes No 0.00 0.00 Yes Yes Yes
## 1440 Yes No 0.00 0.00 No No No
## 1441 Yes No 0.00 0.00 Yes No No
## 1442 Yes Yes 38.20 2867.65 Yes No No
## 1443 Yes Yes 165.15 9039.80 Yes Yes Yes
## 1444 Yes No 0.00 0.00 Yes No No
## 1445 Yes No 0.00 0.00 No No No
## 1446 Yes Yes 27.30 138.10 Yes Yes Yes
## 1447 No No 0.00 0.00 No No No
## 1448 Yes No 0.00 0.00 Yes No No
## 1449 Yes No 0.00 0.00 No No No
## 1450 Yes Yes 23.30 440.15 No Yes No
## 1451 Yes Yes 64.95 4677.60 Yes Yes No
## 1452 No No 0.00 0.00 No No No
## 1453 Yes No 0.00 0.00 Yes No No
## 1454 Yes No 0.00 0.00 Yes No No
## 1455 Yes Yes 35.85 472.00 No Yes Yes
## 1456 No No 0.00 0.00 Yes No No
## 1457 Yes No 0.00 0.00 Yes No No
## 1458 No No 0.00 0.00 No No No
## 1459 Yes No 0.00 0.00 No No No
## 1460 Yes Yes 37.95 2539.75 Yes Yes Yes
## 1461 Yes No 0.00 0.00 Yes Yes Yes
## 1462 Yes No 0.00 0.00 No Yes No
## 1463 Yes No 0.00 0.00 No Yes No
## 1464 Yes No 0.00 0.00 No No No
## 1465 Yes Yes 42.50 2662.55 Yes Yes Yes
## 1466 No No 0.00 0.00 No No No
## 1467 Yes No 0.00 0.00 Yes No No
## 1468 Yes Yes 36.85 2509.70 Yes No No
## 1469 Yes No 0.00 0.00 No No No
## 1470 Yes No 0.00 0.00 Yes No No
## 1471 Yes No 0.00 0.00 Yes No No
## 1472 Yes No 0.00 0.00 Yes No No
## 1473 Yes No 0.00 0.00 No No No
## 1474 No No 0.00 0.00 No No No
## 1475 No No 0.00 0.00 No No No
## 1476 Yes Yes 37.25 2539.60 Yes No No
## 1477 Yes Yes 110.35 2641.00 Yes Yes Yes
## 1478 Yes No 0.00 0.00 Yes No No
## 1479 Yes No 0.00 0.00 No No No
## 1480 Yes Yes 31.75 760.00 No Yes Yes
## 1481 Yes No 0.00 0.00 No No No
## 1482 Yes Yes 18.55 446.75 Yes Yes Yes
## 1483 No Yes 22.80 461.65 No No No
## 1484 No No 0.00 0.00 No No No
## 1485 Yes No 0.00 0.00 No Yes Yes
## 1486 Yes No 0.00 0.00 No No No
## 1487 No No 0.00 0.00 No No No
## 1488 Yes Yes 23.90 295.95 Yes No No
## 1489 Yes Yes 32.95 2098.10 Yes Yes Yes
## 1490 Yes Yes 51.55 3631.25 Yes Yes No
## 1491 Yes No 0.00 0.00 Yes No No
## 1492 Yes Yes 29.55 1558.35 Yes Yes No
## 1493 Yes No 0.00 0.00 Yes No No
## 1494 Yes No 0.00 0.00 No No No
## 1495 Yes No 0.00 0.00 No No No
## 1496 Yes No 0.00 0.00 No Yes Yes
## 1497 Yes Yes 49.00 3418.00 Yes Yes No
## 1498 No No 0.00 0.00 No No No
## 1499 No No 0.00 0.00 Yes No No
## 1500 No No 0.00 0.00 No No No
## 1501 Yes No 0.00 0.00 Yes No No
## 1502 Yes No 0.00 0.00 Yes No No
## 1503 No No 0.00 0.00 Yes No No
## 1504 Yes Yes 37.05 1338.15 Yes Yes No
## 1505 No No 0.00 0.00 Yes No Yes
## 1506 Yes No 0.00 0.00 No No No
## 1507 Yes Yes 21.45 621.90 No No No
## 1508 No No 0.00 0.00 No No No
## 1509 Yes No 0.00 0.00 No No No
## 1510 Yes Yes 32.40 258.10 No Yes Yes
## 1511 Yes No 0.00 0.00 Yes No No
## 1512 Yes No 0.00 0.00 Yes No No
## 1513 Yes No 0.00 0.00 No No No
## 1514 Yes No 0.00 0.00 Yes No No
## 1515 Yes Yes 38.35 1224.05 No Yes Yes
## 1516 Yes No 0.00 0.00 No No No
## 1517 Yes No 0.00 0.00 Yes No No
## 1518 Yes Yes 57.60 1433.10 Yes Yes Yes
## 1519 No No 0.00 0.00 No No No
## 1520 Yes Yes 34.55 757.00 Yes Yes Yes
## 1521 Yes No 0.00 0.00 No No No
## 1522 Yes No 0.00 0.00 No No No
## 1523 Yes No 0.00 0.00 No No No
## 1524 Yes Yes 62.00 365.90 Yes Yes Yes
## 1525 Yes Yes 26.55 59.40 No Yes Yes
## 1526 Yes No 0.00 0.00 No No No
## 1527 Yes Yes 60.85 785.65 Yes Yes Yes
## 1528 Yes Yes 46.35 2665.60 Yes Yes Yes
## 1529 No No 0.00 0.00 No No No
## 1530 Yes No 0.00 0.00 No No No
## 1531 Yes No 0.00 0.00 Yes No No
## 1532 No No 0.00 0.00 No No No
## 1533 No No 0.00 0.00 Yes No No
## 1534 Yes No 0.00 0.00 Yes No No
## 1535 Yes No 0.00 0.00 Yes No No
## 1536 Yes No 0.00 0.00 Yes No No
## 1537 No No 0.00 0.00 Yes Yes No
## 1538 No No 0.00 0.00 Yes No No
## 1539 No No 0.00 0.00 Yes No No
## 1540 No No 0.00 0.00 No No No
## 1541 Yes No 0.00 0.00 Yes No No
## 1542 Yes Yes 36.90 2381.60 Yes Yes Yes
## 1543 Yes No 0.00 0.00 Yes Yes No
## 1544 Yes No 0.00 0.00 Yes No No
## 1545 Yes Yes 40.30 647.50 Yes Yes No
## 1546 No No 0.00 0.00 Yes No No
## 1547 Yes Yes 41.70 1007.00 Yes Yes Yes
## 1548 Yes No 0.00 0.00 No No No
## 1549 Yes No 0.00 0.00 No No No
## 1550 Yes No 0.00 0.00 No No Yes
## 1551 Yes Yes 41.70 1611.00 Yes Yes Yes
## 1552 Yes Yes 62.50 1778.40 Yes Yes Yes
## 1553 Yes No 0.00 0.00 No No No
## 1554 Yes Yes 25.40 82.15 No Yes No
## 1555 Yes No 0.00 0.00 No No No
## 1556 Yes No 0.00 0.00 Yes No No
## 1557 Yes No 0.00 0.00 No No No
## 1558 Yes No 0.00 0.00 No No No
## 1559 Yes Yes 48.25 1343.25 Yes Yes Yes
## 1560 Yes No 0.00 0.00 No No No
## 1561 Yes No 0.00 0.00 Yes No No
## 1562 Yes No 0.00 0.00 Yes No No
## 1563 Yes Yes 57.35 2279.80 No Yes Yes
## 1564 Yes Yes 44.00 2067.85 Yes Yes Yes
## 1565 Yes Yes 21.75 513.35 No Yes Yes
## 1566 No No 0.00 0.00 No No No
## 1567 Yes No 0.00 0.00 Yes No No
## 1568 Yes No 0.00 0.00 Yes Yes No
## 1569 Yes No 0.00 0.00 No No No
## 1570 No No 0.00 0.00 No No No
## 1571 Yes Yes 31.50 1168.00 Yes Yes Yes
## 1572 No Yes 24.50 220.25 Yes Yes Yes
## 1573 Yes No 0.00 0.00 No No No
## 1574 Yes No 0.00 0.00 Yes No No
## 1575 Yes Yes 41.25 606.40 Yes Yes Yes
## 1576 Yes No 0.00 0.00 Yes Yes Yes
## 1577 No No 0.00 0.00 No No No
## 1578 No No 0.00 0.00 No No No
## 1579 Yes Yes 25.70 299.15 No Yes Yes
## 1580 Yes No 0.00 0.00 No No No
## 1581 Yes Yes 16.85 230.15 No Yes No
## 1582 Yes No 0.00 0.00 No No No
## 1583 Yes Yes 41.90 839.45 No Yes Yes
## 1584 Yes No 0.00 0.00 No No No
## 1585 Yes No 0.00 0.00 No No No
## 1586 Yes No 0.00 0.00 Yes No No
## 1587 No No 0.00 0.00 No No No
## 1588 Yes No 0.00 0.00 Yes No No
## 1589 Yes No 0.00 0.00 Yes No No
## 1590 Yes Yes 32.60 274.20 No Yes Yes
## 1591 Yes No 0.00 0.00 No No No
## 1592 No No 0.00 0.00 No No No
## 1593 Yes No 0.00 0.00 Yes No No
## 1594 Yes Yes 37.05 560.85 No Yes Yes
## 1595 Yes No 0.00 0.00 Yes No No
## 1596 Yes Yes 45.80 3224.50 Yes Yes Yes
## 1597 Yes No 0.00 0.00 Yes No No
## 1598 Yes No 0.00 0.00 Yes No No
## 1599 Yes Yes 47.15 2623.90 No Yes Yes
## 1600 Yes Yes 44.40 2488.90 No Yes Yes
## 1601 Yes No 0.00 0.00 No Yes No
## 1602 Yes Yes 36.70 1185.25 No Yes No
## 1603 No No 0.00 0.00 No No No
## 1604 Yes No 0.00 0.00 No No No
## 1605 Yes No 0.00 0.00 Yes No No
## 1606 Yes No 0.00 0.00 Yes No No
## 1607 Yes Yes 21.85 933.90 No Yes No
## 1608 No No 0.00 0.00 No No No
## 1609 Yes Yes 70.25 2695.40 Yes Yes Yes
## 1610 Yes No 0.00 0.00 No No No
## 1611 Yes No 0.00 0.00 No Yes No
## 1612 Yes No 0.00 0.00 No No No
## 1613 Yes No 0.00 0.00 No No No
## 1614 Yes No 0.00 0.00 Yes No No
## 1615 No Yes 17.00 55.75 No No Yes
## 1616 No No 0.00 0.00 No No No
## 1617 Yes Yes 42.50 1965.05 Yes Yes Yes
## 1618 Yes Yes 35.60 1288.45 Yes Yes Yes
## 1619 Yes No 0.00 0.00 No No No
## 1620 Yes No 0.00 0.00 Yes No No
## 1621 No No 0.00 0.00 No No No
## 1622 Yes No 0.00 0.00 Yes No No
## 1623 No No 0.00 0.00 No No No
## 1624 No No 0.00 0.00 Yes Yes No
## 1625 No No 0.00 0.00 No No No
## 1626 Yes No 0.00 0.00 No No No
## 1627 Yes Yes 38.50 1384.25 No No No
## 1628 Yes No 0.00 0.00 No No No
## 1629 No No 0.00 0.00 No No No
## 1630 Yes No 0.00 0.00 No No No
## 1631 Yes Yes 25.10 281.15 Yes Yes No
## 1632 Yes No 0.00 0.00 No No No
## 1633 No No 0.00 0.00 No No No
## 1634 Yes No 0.00 0.00 Yes No No
## 1635 No No 0.00 0.00 No No No
## 1636 Yes No 0.00 0.00 Yes No No
## 1637 Yes No 0.00 0.00 Yes No No
## 1638 No No 0.00 0.00 No No No
## 1639 Yes Yes 46.30 887.50 Yes Yes Yes
## 1640 Yes No 0.00 0.00 No No No
## 1641 No No 0.00 0.00 No No No
## 1642 No No 0.00 0.00 No No No
## 1643 No No 0.00 0.00 No No No
## 1644 Yes No 0.00 0.00 Yes No No
## 1645 Yes No 0.00 0.00 No No No
## 1646 Yes Yes 23.80 21.55 No Yes Yes
## 1647 Yes Yes 23.45 1083.65 No No No
## 1648 Yes No 0.00 0.00 No No No
## 1649 Yes No 0.00 0.00 No No No
## 1650 Yes No 0.00 0.00 Yes No No
## 1651 No No 0.00 0.00 No No No
## 1652 Yes Yes 39.20 1229.50 No Yes Yes
## 1653 Yes Yes 29.85 1595.25 Yes Yes Yes
## 1654 Yes No 0.00 0.00 No No No
## 1655 Yes No 0.00 0.00 No No No
## 1656 Yes No 0.00 0.00 Yes No Yes
## 1657 Yes No 0.00 0.00 Yes Yes No
## 1658 Yes No 0.00 0.00 No No No
## 1659 Yes Yes 37.75 53.95 No Yes Yes
## 1660 Yes No 0.00 0.00 Yes No No
## 1661 Yes Yes 57.30 3036.05 Yes Yes Yes
## 1662 Yes No 0.00 0.00 No No No
## 1663 Yes No 0.00 0.00 Yes No No
## 1664 Yes No 0.00 0.00 Yes No No
## 1665 No No 0.00 0.00 No No No
## 1666 Yes No 0.00 0.00 No No No
## 1667 Yes No 0.00 0.00 Yes No Yes
## 1668 Yes No 0.00 0.00 Yes No No
## 1669 Yes No 0.00 0.00 Yes No No
## 1670 Yes Yes 51.70 226.80 Yes Yes Yes
## 1671 No No 0.00 0.00 No No No
## 1672 Yes No 0.00 0.00 Yes No No
## 1673 No No 0.00 0.00 No Yes No
## 1674 Yes No 0.00 0.00 No No No
## 1675 Yes No 0.00 0.00 Yes No No
## 1676 Yes Yes 61.20 518.10 Yes Yes Yes
## 1677 Yes No 0.00 0.00 Yes No No
## 1678 Yes No 0.00 0.00 Yes No No
## 1679 No No 0.00 0.00 Yes No No
## 1680 Yes No 0.00 0.00 Yes No No
## 1681 Yes No 0.00 0.00 No No No
## 1682 Yes Yes 28.70 910.45 Yes Yes No
## 1683 Yes Yes 74.90 2928.20 Yes Yes Yes
## 1684 No No 0.00 0.00 No No No
## 1685 No No 0.00 0.00 No No No
## 1686 Yes No 0.00 0.00 No No Yes
## 1687 Yes Yes 23.20 1151.90 No No No
## 1688 Yes No 0.00 0.00 No No No
## 1689 Yes No 0.00 0.00 No No No
## 1690 Yes No 0.00 0.00 Yes No No
## 1691 No No 0.00 0.00 Yes No No
## 1692 Yes No 0.00 0.00 No No No
## 1693 Yes Yes 31.00 727.50 No Yes Yes
## 1694 Yes No 0.00 0.00 No No No
## Internet CallerID CallWait CallForward ThreeWayCalling EBilling
## 1 No No Yes Yes Yes No
## 2 4 Yes No Yes No Yes
## 3 No No No No No No
## 4 2 No No No No Yes
## 5 3 Yes Yes Yes Yes No
## 6 No Yes Yes Yes Yes No
## 7 Yes No No Yes No No
## 8 No Yes Yes Yes Yes No
## 9 No No No No No No
## 10 No No No No No No
## 11 3 No Yes No No Yes
## 12 No No No No No No
## 13 Yes Yes Yes Yes Yes No
## 14 No Yes No Yes Yes No
## 15 No No No Yes No Yes
## 16 Yes Yes Yes Yes Yes No
## 17 3 Yes Yes No Yes Yes
## 18 No Yes No Yes Yes Yes
## 19 No Yes Yes Yes Yes No
## 20 Yes No No No No Yes
## 21 Yes Yes Yes Yes Yes No
## 22 3 No Yes No Yes No
## 23 3 No Yes No No No
## 24 4 Yes Yes Yes Yes Yes
## 25 Yes Yes No Yes Yes No
## 26 2 Yes Yes Yes Yes Yes
## 27 4 No No No No Yes
## 28 No No No No No No
## 29 No Yes Yes No No No
## 30 2 No No No No No
## 31 No No No Yes Yes No
## 32 4 No No Yes No Yes
## 33 No Yes Yes Yes Yes No
## 34 No No No Yes No No
## 35 3 Yes Yes Yes Yes Yes
## 36 3 No No No No Yes
## 37 3 No Yes No No Yes
## 38 No Yes Yes Yes Yes No
## 39 4 No No No No Yes
## 40 2 Yes Yes Yes Yes No
## 41 No Yes Yes Yes Yes No
## 42 2 No No No No No
## 43 No No No No No No
## 44 Yes Yes Yes Yes Yes No
## 45 No No No No No Yes
## 46 No No Yes No No No
## 47 No No No No No No
## 48 No No No No No No
## 49 Yes No No No No No
## 50 3 Yes Yes Yes Yes Yes
## 51 No No No No No Yes
## 52 2 No Yes No Yes No
## 53 No No No Yes No No
## 54 4 Yes Yes Yes Yes Yes
## 55 2 Yes No No Yes No
## 56 No No Yes Yes Yes Yes
## 57 2 Yes Yes Yes Yes Yes
## 58 Yes Yes Yes Yes Yes Yes
## 59 No Yes Yes Yes Yes No
## 60 4 No No No No Yes
## 61 No Yes No Yes No No
## 62 4 No No No No Yes
## 63 No Yes Yes Yes Yes No
## 64 No No No No No No
## 65 Yes No No No No No
## 66 No No No No Yes No
## 67 No No No No No No
## 68 No No No No No No
## 69 No No No No Yes No
## 70 No Yes No Yes Yes No
## 71 No No No No No Yes
## 72 4 Yes No No No Yes
## 73 No Yes No No No No
## 74 Yes Yes Yes Yes Yes No
## 75 Yes Yes No No Yes No
## 76 No No No No No No
## 77 4 No Yes Yes Yes Yes
## 78 No Yes Yes No Yes No
## 79 No No No No No No
## 80 2 No No No No Yes
## 81 2 Yes Yes Yes Yes Yes
## 82 No No Yes No Yes Yes
## 83 4 Yes Yes No Yes Yes
## 84 Yes Yes Yes Yes Yes No
## 85 2 Yes No Yes Yes No
## 86 Yes Yes Yes Yes Yes No
## 87 Yes Yes Yes Yes Yes Yes
## 88 2 No Yes Yes Yes Yes
## 89 3 Yes Yes Yes Yes Yes
## 90 No Yes Yes Yes Yes No
## 91 No No No No No No
## 92 No No No No No No
## 93 3 No No Yes No Yes
## 94 No No No No No No
## 95 No No No No No No
## 96 No No No No No No
## 97 2 Yes No No Yes Yes
## 98 3 No No No No Yes
## 99 Yes No No No No No
## 100 No Yes Yes No No No
## 101 4 No No No Yes No
## 102 No No Yes Yes No No
## 103 No No No No No No
## 104 No No No No No No
## 105 2 Yes No Yes Yes No
## 106 2 No No No No No
## 107 Yes Yes Yes Yes Yes No
## 108 2 No Yes No No No
## 109 No No Yes Yes Yes No
## 110 3 No No No No No
## 111 No Yes Yes Yes Yes No
## 112 4 No Yes Yes No Yes
## 113 No Yes Yes Yes Yes No
## 114 No No No No No No
## 115 No No Yes Yes No No
## 116 No Yes Yes Yes Yes No
## 117 No Yes Yes No No No
## 118 2 No No No No No
## 119 4 No Yes Yes Yes No
## 120 4 No No No No Yes
## 121 2 Yes No Yes Yes Yes
## 122 No Yes Yes Yes Yes No
## 123 No No No No No No
## 124 Yes No No No No No
## 125 No Yes Yes Yes Yes No
## 126 Yes Yes Yes No No No
## 127 2 Yes Yes Yes Yes Yes
## 128 3 No No No No Yes
## 129 No Yes Yes Yes No No
## 130 No No No No No No
## 131 No Yes No Yes No No
## 132 2 Yes Yes Yes Yes No
## 133 No No Yes Yes Yes Yes
## 134 No No Yes Yes No No
## 135 No Yes Yes Yes Yes No
## 136 3 No No No No Yes
## 137 No Yes Yes Yes Yes No
## 138 No No No No No Yes
## 139 No No Yes Yes Yes No
## 140 No No No No No No
## 141 No No No No No No
## 142 No Yes Yes Yes Yes No
## 143 No Yes Yes No Yes No
## 144 3 No No No No No
## 145 No Yes Yes No Yes No
## 146 4 No No No No Yes
## 147 2 Yes Yes Yes Yes Yes
## 148 No Yes No No No No
## 149 No No No No No No
## 150 Yes Yes Yes No No Yes
## 151 4 No No Yes Yes Yes
## 152 Yes Yes Yes Yes No Yes
## 153 No Yes Yes Yes Yes No
## 154 No No No No Yes No
## 155 Yes Yes No Yes No No
## 156 No No Yes Yes No No
## 157 4 No No No No Yes
## 158 3 No No No No No
## 159 4 No No No No Yes
## 160 3 No No No No No
## 161 No Yes No No No No
## 162 No Yes Yes Yes Yes No
## 163 4 Yes Yes Yes Yes No
## 164 No Yes Yes Yes Yes No
## 165 Yes Yes Yes Yes Yes No
## 166 2 No No No No Yes
## 167 No No No No No No
## 168 No No No No No No
## 169 3 No No No No No
## 170 No No No No No No
## 171 Yes Yes Yes Yes Yes Yes
## 172 No Yes Yes Yes Yes No
## 173 Yes No No No No No
## 174 3 No No No No No
## 175 No Yes Yes Yes Yes No
## 176 No Yes No Yes Yes No
## 177 No No Yes Yes Yes No
## 178 4 Yes Yes Yes Yes Yes
## 179 No No No No No No
## 180 No Yes No No No No
## 181 No No Yes No No No
## 182 No Yes Yes Yes Yes No
## 183 Yes No No No No No
## 184 No No No No No No
## 185 No No No No No No
## 186 No No No No No No
## 187 Yes No No Yes No Yes
## 188 No Yes Yes Yes Yes Yes
## 189 No Yes Yes Yes Yes No
## 190 Yes No No No No No
## 191 No Yes Yes Yes Yes No
## 192 2 No No No No No
## 193 No No No No No No
## 194 2 No No No No Yes
## 195 No No No No No No
## 196 No No Yes Yes No No
## 197 No No No No No No
## 198 2 Yes Yes Yes Yes No
## 199 No Yes Yes Yes Yes No
## 200 Yes Yes No No No Yes
## 201 4 Yes No Yes Yes Yes
## 202 No No Yes No Yes No
## 203 No Yes Yes Yes Yes No
## 204 No Yes Yes Yes Yes Yes
## 205 No No No No No No
## 206 No No No No No No
## 207 3 No No No No Yes
## 208 No No Yes No No No
## 209 4 No Yes No Yes Yes
## 210 4 No No No No Yes
## 211 4 No No Yes No Yes
## 212 No Yes No No Yes No
## 213 2 Yes No Yes Yes Yes
## 214 Yes No No No No No
## 215 Yes No Yes Yes No No
## 216 3 Yes Yes Yes Yes Yes
## 217 No Yes Yes Yes Yes No
## 218 No No No No No No
## 219 2 No No No No No
## 220 No Yes Yes Yes No No
## 221 3 Yes Yes Yes No Yes
## 222 No Yes No Yes Yes No
## 223 2 No No No No Yes
## 224 Yes Yes No Yes No No
## 225 3 No Yes Yes Yes Yes
## 226 No No No No No Yes
## 227 No No No No No No
## 228 3 No No No No Yes
## 229 No No No No No No
## 230 No Yes Yes Yes Yes No
## 231 2 No No No No Yes
## 232 4 Yes No Yes Yes Yes
## 233 Yes Yes Yes Yes Yes No
## 234 Yes No No No No Yes
## 235 No Yes Yes Yes Yes No
## 236 No Yes Yes Yes Yes No
## 237 No Yes Yes Yes Yes No
## 238 3 No No No No Yes
## 239 Yes No No Yes Yes No
## 240 2 No Yes No No Yes
## 241 2 Yes Yes No Yes No
## 242 No No Yes Yes Yes No
## 243 3 No No No No Yes
## 244 Yes Yes Yes Yes Yes No
## 245 No Yes Yes Yes Yes No
## 246 3 Yes Yes Yes Yes No
## 247 4 Yes Yes Yes Yes No
## 248 4 Yes No Yes Yes Yes
## 249 No Yes Yes Yes No No
## 250 No Yes Yes Yes No No
## 251 No Yes No No No No
## 252 No No No No No No
## 253 No Yes Yes Yes Yes No
## 254 Yes No No No No No
## 255 4 Yes Yes Yes Yes Yes
## 256 No No Yes Yes Yes No
## 257 4 Yes No Yes Yes Yes
## 258 No Yes Yes Yes Yes No
## 259 3 Yes No No No Yes
## 260 2 No No No No Yes
## 261 Yes Yes Yes Yes Yes No
## 262 No Yes Yes No No No
## 263 No No Yes Yes Yes No
## 264 Yes No No No No Yes
## 265 3 No No No No Yes
## 266 3 Yes Yes Yes Yes Yes
## 267 4 No No No No Yes
## 268 No No No No No No
## 269 Yes Yes No Yes Yes No
## 270 No Yes Yes No No No
## 271 Yes Yes Yes Yes Yes No
## 272 No Yes Yes Yes Yes No
## 273 No No No No Yes No
## 274 No Yes Yes Yes Yes No
## 275 Yes No No No No No
## 276 No No No No No No
## 277 3 Yes No No No No
## 278 Yes Yes Yes Yes Yes No
## 279 No Yes Yes Yes Yes No
## 280 No Yes Yes Yes Yes No
## 281 No No No No No No
## 282 No Yes Yes Yes Yes No
## 283 2 No No No No Yes
## 284 2 Yes Yes No Yes Yes
## 285 No No No Yes No No
## 286 Yes No Yes Yes Yes No
## 287 Yes Yes Yes No Yes No
## 288 No No No No No Yes
## 289 Yes No No No Yes No
## 290 3 No Yes Yes Yes Yes
## 291 4 Yes Yes Yes Yes No
## 292 No Yes Yes Yes Yes No
## 293 No Yes Yes No No No
## 294 No No Yes No Yes Yes
## 295 No Yes Yes Yes Yes No
## 296 No No No No No No
## 297 2 Yes Yes Yes Yes Yes
## 298 2 No No No No No
## 299 Yes Yes Yes Yes No No
## 300 3 No No No No Yes
## 301 2 No No No No No
## 302 4 Yes Yes Yes Yes Yes
## 303 Yes No No No No No
## 304 No Yes Yes Yes Yes No
## 305 No Yes Yes Yes Yes No
## 306 No Yes Yes Yes Yes No
## 307 No No No Yes Yes No
## 308 No Yes Yes Yes Yes No
## 309 No Yes Yes Yes Yes No
## 310 Yes No No No No No
## 311 No Yes Yes Yes Yes No
## 312 No No Yes Yes Yes No
## 313 4 Yes Yes Yes Yes Yes
## 314 No Yes Yes Yes Yes No
## 315 3 Yes No No Yes No
## 316 2 Yes Yes Yes Yes Yes
## 317 No No Yes No No No
## 318 Yes Yes Yes No Yes Yes
## 319 3 No No No No No
## 320 4 Yes Yes Yes Yes Yes
## 321 No Yes Yes Yes Yes No
## 322 No No No Yes No No
## 323 2 No No No No No
## 324 Yes Yes Yes Yes Yes No
## 325 No Yes Yes Yes Yes No
## 326 No No No No No No
## 327 2 Yes Yes Yes Yes No
## 328 4 No No Yes No Yes
## 329 Yes No No No Yes No
## 330 No No No No No No
## 331 4 No No No No Yes
## 332 2 No No No No Yes
## 333 No No No No No No
## 334 No No No No No No
## 335 No No Yes Yes No No
## 336 No No No No No No
## 337 4 No No No No Yes
## 338 2 No No No No No
## 339 3 Yes Yes Yes Yes Yes
## 340 No No No No No No
## 341 No No Yes Yes Yes No
## 342 No Yes No Yes No No
## 343 Yes Yes Yes Yes No No
## 344 No Yes Yes Yes Yes No
## 345 No Yes No Yes Yes No
## 346 No Yes Yes Yes Yes No
## 347 No No No No Yes No
## 348 No No No No No No
## 349 No Yes Yes Yes Yes No
## 350 3 Yes Yes Yes Yes No
## 351 Yes Yes Yes Yes Yes No
## 352 No Yes Yes Yes Yes No
## 353 Yes No No No No No
## 354 No No Yes No Yes No
## 355 4 Yes Yes Yes Yes No
## 356 4 No No No No Yes
## 357 4 No Yes Yes Yes No
## 358 4 No No Yes Yes Yes
## 359 Yes Yes No Yes Yes No
## 360 No Yes Yes Yes Yes No
## 361 3 No Yes Yes No No
## 362 No Yes Yes Yes Yes No
## 363 No No Yes No Yes No
## 364 No No No No Yes No
## 365 No Yes Yes Yes Yes No
## 366 No No No No No Yes
## 367 4 No No No No Yes
## 368 No Yes Yes Yes Yes No
## 369 3 No No No No Yes
## 370 Yes No No No No No
## 371 No No No Yes Yes No
## 372 No No No No No No
## 373 No No No No No No
## 374 No Yes No Yes No Yes
## 375 No Yes Yes Yes Yes No
## 376 No Yes Yes No Yes No
## 377 4 No No No No Yes
## 378 2 No No No No No
## 379 Yes No No No No No
## 380 Yes Yes Yes Yes Yes Yes
## 381 No Yes Yes Yes No No
## 382 No No No No No No
## 383 3 No No No No Yes
## 384 2 Yes Yes Yes Yes Yes
## 385 3 Yes Yes No Yes No
## 386 No No No No No No
## 387 Yes Yes Yes Yes Yes No
## 388 2 Yes No No Yes No
## 389 2 No No No No Yes
## 390 No No No No No No
## 391 No Yes Yes Yes Yes No
## 392 2 No No No No Yes
## 393 No Yes Yes Yes Yes No
## 394 3 Yes Yes No No Yes
## 395 No Yes Yes Yes Yes No
## 396 Yes Yes Yes Yes Yes Yes
## 397 No No No No No No
## 398 2 Yes Yes Yes Yes Yes
## 399 No No Yes Yes No No
## 400 No No No No No No
## 401 Yes Yes Yes Yes Yes No
## 402 2 Yes Yes Yes Yes Yes
## 403 No Yes Yes Yes Yes No
## 404 Yes Yes Yes Yes Yes No
## 405 No No No No No No
## 406 2 Yes Yes Yes Yes Yes
## 407 3 No No No Yes Yes
## 408 3 No No No No Yes
## 409 Yes No Yes No No No
## 410 2 Yes Yes Yes No No
## 411 3 Yes Yes Yes Yes No
## 412 No No No No No No
## 413 No No No No No No
## 414 No No Yes Yes Yes No
## 415 Yes Yes No Yes Yes No
## 416 4 No No No No Yes
## 417 2 Yes Yes Yes Yes Yes
## 418 4 Yes No No No Yes
## 419 No Yes Yes Yes Yes No
## 420 No Yes Yes Yes Yes No
## 421 2 No No No No Yes
## 422 No Yes No Yes Yes No
## 423 No Yes Yes Yes Yes No
## 424 No Yes Yes Yes Yes No
## 425 2 Yes Yes Yes Yes Yes
## 426 3 Yes Yes Yes Yes Yes
## 427 No Yes No No No No
## 428 Yes No No No No No
## 429 No No No No No No
## 430 2 No No No No Yes
## 431 No Yes Yes Yes Yes No
## 432 4 No No No No No
## 433 4 Yes Yes Yes Yes Yes
## 434 Yes No No No No No
## 435 2 No No No No Yes
## 436 No Yes Yes Yes Yes No
## 437 No Yes No No No No
## 438 3 No No No No Yes
## 439 No No No No No No
## 440 4 Yes Yes Yes Yes Yes
## 441 4 Yes Yes No Yes Yes
## 442 4 Yes No No No Yes
## 443 No Yes Yes Yes Yes No
## 444 Yes No No No No No
## 445 No Yes No No Yes Yes
## 446 4 No No No No Yes
## 447 No Yes Yes Yes Yes Yes
## 448 3 Yes Yes Yes Yes No
## 449 4 No No No No Yes
## 450 Yes Yes Yes Yes Yes No
## 451 Yes No No No No No
## 452 4 No No No No No
## 453 Yes No No No No No
## 454 Yes Yes Yes Yes Yes No
## 455 No Yes No Yes No No
## 456 No Yes No Yes No No
## 457 3 Yes No Yes Yes No
## 458 2 No No No No Yes
## 459 2 Yes Yes Yes Yes Yes
## 460 No Yes Yes Yes Yes No
## 461 No No Yes No No No
## 462 No No No Yes No No
## 463 No No No No No No
## 464 2 Yes Yes Yes Yes No
## 465 2 No Yes No No No
## 466 No Yes Yes Yes Yes No
## 467 3 No No Yes Yes No
## 468 No Yes No Yes Yes No
## 469 Yes No No No No No
## 470 3 No Yes No Yes No
## 471 Yes No No No No Yes
## 472 4 Yes Yes Yes Yes Yes
## 473 No No No No No No
## 474 4 Yes No Yes Yes Yes
## 475 3 No No No No Yes
## 476 No No No No No No
## 477 No Yes Yes Yes Yes Yes
## 478 3 Yes Yes Yes Yes Yes
## 479 3 No No No No Yes
## 480 4 Yes Yes No Yes Yes
## 481 3 Yes Yes Yes Yes Yes
## 482 3 No No No No Yes
## 483 3 No No No No No
## 484 No Yes Yes Yes Yes No
## 485 No Yes No No No Yes
## 486 No No No No No No
## 487 No Yes Yes Yes Yes No
## 488 4 No No No No Yes
## 489 Yes No Yes No No No
## 490 3 No No No No Yes
## 491 No No No No No Yes
## 492 4 Yes Yes No No No
## 493 No No No Yes No Yes
## 494 4 No No Yes Yes Yes
## 495 No No No No No No
## 496 No No No No No No
## 497 No No Yes No Yes No
## 498 Yes No No No No Yes
## 499 No Yes Yes Yes Yes No
## 500 No Yes Yes Yes Yes No
## 501 4 Yes Yes Yes Yes Yes
## 502 Yes Yes No No Yes No
## 503 No Yes Yes Yes Yes No
## 504 No No No Yes No No
## 505 2 Yes Yes Yes Yes Yes
## 506 Yes No No No No Yes
## 507 Yes No No No No No
## 508 Yes Yes No No Yes Yes
## 509 4 Yes Yes Yes Yes Yes
## 510 No No No Yes No No
## 511 Yes No No Yes No No
## 512 Yes Yes No No Yes No
## 513 No Yes Yes Yes Yes Yes
## 514 No Yes Yes Yes Yes No
## 515 No Yes Yes No No No
## 516 No Yes Yes No No No
## 517 Yes Yes Yes Yes Yes No
## 518 No Yes Yes Yes Yes No
## 519 Yes No Yes Yes No No
## 520 No No No No Yes Yes
## 521 No Yes Yes Yes Yes No
## 522 3 Yes Yes Yes Yes Yes
## 523 Yes No No No No Yes
## 524 4 No Yes No Yes Yes
## 525 No No Yes No No No
## 526 2 No Yes No No Yes
## 527 Yes No No No No Yes
## 528 Yes No No No No Yes
## 529 Yes No No No No Yes
## 530 4 Yes Yes Yes Yes Yes
## 531 2 No Yes Yes No Yes
## 532 2 No No Yes No Yes
## 533 No Yes Yes Yes Yes No
## 534 4 Yes Yes Yes Yes Yes
## 535 No Yes Yes Yes Yes No
## 536 2 No No No No No
## 537 No Yes Yes Yes Yes No
## 538 Yes No No Yes Yes Yes
## 539 3 No No No No Yes
## 540 4 Yes Yes Yes Yes Yes
## 541 3 No No No No No
## 542 No Yes Yes No Yes No
## 543 No Yes No No Yes No
## 544 No No No No Yes No
## 545 No No Yes No Yes No
## 546 No Yes Yes Yes Yes Yes
## 547 No Yes No Yes Yes No
## 548 2 Yes No Yes Yes Yes
## 549 Yes No No No No Yes
## 550 4 No No No No Yes
## 551 No No No No No Yes
## 552 4 Yes No Yes Yes Yes
## 553 Yes No No No No Yes
## 554 2 Yes Yes Yes Yes No
## 555 No No No No No Yes
## 556 Yes No No No No No
## 557 No No No Yes Yes No
## 558 No Yes No No Yes No
## 559 3 No No No No Yes
## 560 4 No No Yes Yes No
## 561 2 No No No No No
## 562 3 No No No No Yes
## 563 No Yes Yes Yes Yes No
## 564 No Yes Yes Yes Yes No
## 565 No No Yes No Yes No
## 566 No Yes No Yes No No
## 567 No Yes Yes Yes Yes No
## 568 No Yes Yes Yes Yes No
## 569 No Yes No Yes Yes No
## 570 2 Yes Yes Yes Yes No
## 571 No No Yes No Yes No
## 572 Yes Yes Yes Yes Yes No
## 573 Yes Yes Yes Yes Yes Yes
## 574 No No No No No No
## 575 No No No No No No
## 576 4 Yes Yes Yes Yes Yes
## 577 No No Yes Yes Yes Yes
## 578 3 No No No No No
## 579 4 Yes No No No Yes
## 580 No No No No No No
## 581 Yes Yes Yes No Yes Yes
## 582 No No No No No Yes
## 583 No No No Yes No No
## 584 4 No No No No Yes
## 585 2 Yes No Yes No Yes
## 586 3 No No No No Yes
## 587 No Yes Yes Yes Yes No
## 588 3 No Yes No No Yes
## 589 No Yes No Yes Yes No
## 590 No No Yes No No No
## 591 Yes Yes No Yes No No
## 592 Yes Yes Yes Yes Yes No
## 593 Yes No No No No No
## 594 No Yes Yes Yes Yes No
## 595 No No No Yes No No
## 596 No No No No No No
## 597 No Yes Yes Yes Yes No
## 598 No Yes No No No No
## 599 No Yes Yes Yes Yes No
## 600 Yes Yes Yes Yes No No
## 601 No Yes No Yes No No
## 602 3 Yes Yes Yes No Yes
## 603 3 No Yes Yes Yes Yes
## 604 Yes Yes Yes No Yes No
## 605 No No No No No No
## 606 4 Yes No No No No
## 607 No Yes Yes No No No
## 608 No No No Yes No No
## 609 3 No No Yes No No
## 610 3 Yes Yes No No Yes
## 611 3 No No No No Yes
## 612 No No No No Yes No
## 613 No Yes Yes No Yes No
## 614 No No Yes No Yes Yes
## 615 Yes Yes Yes Yes Yes No
## 616 Yes No No No No No
## 617 2 No Yes Yes No No
## 618 Yes Yes Yes Yes Yes No
## 619 2 Yes Yes Yes Yes Yes
## 620 No Yes Yes No No No
## 621 Yes Yes Yes Yes Yes No
## 622 4 Yes Yes Yes Yes Yes
## 623 3 No No No No No
## 624 No Yes No No No No
## 625 2 Yes No Yes No No
## 626 No No Yes Yes Yes No
## 627 No No No No No No
## 628 No No No No No No
## 629 No No No No No No
## 630 Yes No No No No Yes
## 631 2 Yes No Yes Yes No
## 632 2 Yes No No No Yes
## 633 4 Yes Yes Yes Yes Yes
## 634 No Yes Yes Yes Yes No
## 635 2 Yes No Yes Yes Yes
## 636 No No No No No No
## 637 2 Yes Yes Yes Yes Yes
## 638 No Yes Yes Yes Yes No
## 639 Yes Yes Yes Yes Yes No
## 640 Yes Yes Yes Yes Yes Yes
## 641 No Yes No No No No
## 642 No No No No No No
## 643 Yes Yes Yes Yes Yes Yes
## 644 Yes No No No No Yes
## 645 4 Yes Yes No Yes Yes
## 646 4 No Yes Yes Yes Yes
## 647 No No No No No No
## 648 No Yes Yes Yes Yes No
## 649 4 Yes Yes Yes Yes Yes
## 650 No No No No No No
## 651 Yes Yes Yes Yes Yes Yes
## 652 No Yes Yes Yes Yes No
## 653 3 Yes Yes Yes No No
## 654 4 No No No No Yes
## 655 3 Yes Yes Yes Yes No
## 656 No Yes Yes Yes Yes No
## 657 3 Yes No Yes Yes Yes
## 658 2 No No No No Yes
## 659 4 No No No Yes Yes
## 660 4 No No No No No
## 661 No No No No No No
## 662 No Yes Yes Yes Yes Yes
## 663 3 No Yes No No Yes
## 664 Yes No No Yes No Yes
## 665 No No No No No No
## 666 No Yes Yes Yes No No
## 667 2 No No No No No
## 668 2 Yes Yes Yes No Yes
## 669 2 Yes Yes Yes Yes No
## 670 No No No No No No
## 671 4 No No No No Yes
## 672 3 Yes Yes Yes Yes Yes
## 673 No No No No No No
## 674 Yes No No No No No
## 675 3 Yes Yes Yes Yes Yes
## 676 2 No No No No Yes
## 677 Yes No Yes No No No
## 678 4 Yes Yes No Yes Yes
## 679 Yes No No No No Yes
## 680 Yes Yes Yes Yes Yes No
## 681 No Yes Yes Yes Yes No
## 682 2 Yes Yes Yes Yes Yes
## 683 No No No Yes No No
## 684 2 No Yes No No No
## 685 Yes Yes Yes Yes Yes No
## 686 No No No No No Yes
## 687 Yes No No No No No
## 688 No No No No No No
## 689 No No No No No No
## 690 No Yes Yes Yes Yes No
## 691 No Yes Yes Yes Yes No
## 692 No No No No No No
## 693 No No No No No No
## 694 Yes Yes No No Yes Yes
## 695 3 Yes Yes Yes Yes Yes
## 696 No No Yes Yes Yes No
## 697 2 No No No No No
## 698 4 Yes Yes Yes No Yes
## 699 3 Yes Yes Yes Yes Yes
## 700 3 No Yes No Yes Yes
## 701 3 Yes No No No Yes
## 702 No Yes Yes Yes Yes No
## 703 4 No No No No Yes
## 704 Yes No Yes Yes Yes Yes
## 705 4 No No No No Yes
## 706 No No No No No No
## 707 No Yes Yes Yes Yes No
## 708 4 Yes Yes Yes Yes Yes
## 709 3 No No No No Yes
## 710 4 Yes Yes Yes Yes Yes
## 711 No Yes Yes No Yes No
## 712 No No No No Yes No
## 713 No Yes Yes Yes Yes No
## 714 No Yes Yes Yes Yes No
## 715 No No No No Yes No
## 716 No Yes No Yes No Yes
## 717 No Yes Yes Yes Yes No
## 718 No No No No No No
## 719 2 No No No No Yes
## 720 Yes No No Yes No No
## 721 3 Yes Yes No Yes No
## 722 3 No No No No No
## 723 No Yes Yes Yes No No
## 724 No No No No No No
## 725 4 No No No No Yes
## 726 Yes Yes No Yes No No
## 727 No No No No No Yes
## 728 No Yes Yes Yes Yes No
## 729 No No No No No No
## 730 3 Yes No Yes Yes Yes
## 731 No No No No No No
## 732 Yes Yes No Yes Yes No
## 733 4 Yes No No Yes Yes
## 734 2 No No No No No
## 735 No No No No No No
## 736 No Yes No No Yes No
## 737 2 Yes No No No No
## 738 No No Yes No No No
## 739 No No No No No No
## 740 No Yes No Yes Yes No
## 741 Yes Yes Yes Yes Yes No
## 742 2 No Yes No Yes Yes
## 743 Yes No No No No No
## 744 No Yes Yes Yes Yes No
## 745 Yes No No No No Yes
## 746 4 No No Yes No Yes
## 747 No No Yes Yes No No
## 748 3 No No No No No
## 749 No Yes Yes Yes Yes Yes
## 750 No No Yes Yes No No
## 751 No No No No No No
## 752 No Yes Yes Yes Yes No
## 753 2 Yes Yes No Yes Yes
## 754 3 No No Yes Yes Yes
## 755 Yes No Yes Yes Yes No
## 756 Yes No No No No No
## 757 No Yes Yes Yes Yes No
## 758 4 Yes No No No Yes
## 759 4 No No No No Yes
## 760 No Yes Yes Yes Yes No
## 761 No No No Yes No No
## 762 No No No No No No
## 763 3 Yes No No No No
## 764 No No Yes No Yes No
## 765 3 No No No No Yes
## 766 No Yes Yes Yes Yes No
## 767 3 No No No No Yes
## 768 2 Yes Yes Yes No No
## 769 Yes No No No No No
## 770 4 No No No No Yes
## 771 No No No No No No
## 772 2 Yes Yes Yes Yes Yes
## 773 4 Yes No Yes No Yes
## 774 No No No No No No
## 775 No Yes Yes Yes Yes No
## 776 3 No Yes Yes Yes Yes
## 777 3 Yes Yes Yes Yes No
## 778 Yes Yes Yes Yes Yes No
## 779 No No No No No No
## 780 Yes Yes No No No No
## 781 No Yes Yes Yes Yes No
## 782 No No No No No No
## 783 No Yes Yes Yes No No
## 784 No No Yes No No No
## 785 No No Yes No No No
## 786 4 No No No No Yes
## 787 No No No No No No
## 788 2 Yes Yes No No Yes
## 789 Yes Yes Yes Yes Yes No
## 790 4 No Yes Yes Yes Yes
## 791 No No No Yes No No
## 792 Yes No Yes No Yes Yes
## 793 No No No No No Yes
## 794 No No Yes No No No
## 795 Yes Yes Yes Yes Yes Yes
## 796 No No No Yes Yes No
## 797 Yes Yes No No No No
## 798 No Yes Yes Yes Yes No
## 799 No Yes Yes No Yes No
## 800 No Yes Yes Yes Yes No
## 801 3 Yes Yes Yes Yes No
## 802 No No No No No No
## 803 Yes No No No No No
## 804 3 Yes No No No Yes
## 805 No No No Yes No No
## 806 Yes Yes Yes Yes Yes Yes
## 807 Yes No Yes Yes Yes No
## 808 2 No No Yes No Yes
## 809 Yes No No No No Yes
## 810 No No Yes Yes Yes No
## 811 No No No No No No
## 812 3 Yes No Yes Yes No
## 813 3 Yes Yes Yes Yes Yes
## 814 Yes No No No No No
## 815 Yes Yes No No No Yes
## 816 No Yes Yes Yes Yes No
## 817 Yes No No No No No
## 818 No No Yes No Yes No
## 819 No Yes No Yes Yes No
## 820 No Yes No No Yes No
## 821 No No No No No Yes
## 822 No Yes Yes Yes Yes No
## 823 No No No No No No
## 824 No No No Yes Yes No
## 825 No Yes Yes Yes Yes No
## 826 Yes Yes Yes Yes Yes Yes
## 827 2 Yes Yes Yes Yes Yes
## 828 No Yes Yes Yes Yes No
## 829 No Yes Yes Yes Yes No
## 830 No No No No No No
## 831 Yes No No No No No
## 832 No No Yes Yes Yes No
## 833 3 Yes Yes Yes No No
## 834 No No Yes No No No
## 835 2 Yes No No No No
## 836 No No Yes No No Yes
## 837 No No No No No No
## 838 No No No No No No
## 839 No No No No No No
## 840 Yes No Yes Yes Yes Yes
## 841 3 Yes No Yes Yes Yes
## 842 No Yes No No No No
## 843 3 Yes Yes Yes No Yes
## 844 Yes No No No No No
## 845 2 Yes Yes Yes Yes No
## 846 2 No No No No No
## 847 No No No No No No
## 848 2 No No No No Yes
## 849 4 Yes Yes Yes No Yes
## 850 3 No No No Yes Yes
## 851 3 No No Yes No Yes
## 852 3 No No No No No
## 853 No Yes Yes Yes Yes No
## 854 No Yes Yes Yes Yes No
## 855 2 No No No No Yes
## 856 Yes Yes No Yes No No
## 857 2 No No No No Yes
## 858 Yes No No No No No
## 859 3 No No No No No
## 860 No Yes No Yes Yes No
## 861 No Yes Yes Yes Yes No
## 862 2 No No No No No
## 863 3 Yes Yes Yes Yes Yes
## 864 No No No Yes Yes No
## 865 2 No Yes No No Yes
## 866 3 Yes No No No No
## 867 Yes Yes No Yes No No
## 868 Yes Yes No No No Yes
## 869 No Yes Yes Yes Yes No
## 870 4 Yes Yes Yes Yes Yes
## 871 No Yes Yes Yes Yes No
## 872 No No Yes No Yes No
## 873 Yes No No No No No
## 874 No Yes Yes Yes Yes No
## 875 No No No No No No
## 876 2 Yes Yes Yes Yes Yes
## 877 4 No No No Yes Yes
## 878 No Yes Yes Yes Yes No
## 879 No Yes Yes Yes Yes No
## 880 No Yes Yes Yes Yes Yes
## 881 No Yes Yes Yes Yes No
## 882 No No No No No No
## 883 3 No No Yes Yes No
## 884 No Yes Yes Yes Yes No
## 885 3 Yes Yes Yes Yes Yes
## 886 3 Yes Yes Yes Yes No
## 887 No Yes Yes Yes No No
## 888 No Yes Yes Yes Yes No
## 889 4 No Yes No No Yes
## 890 No Yes Yes Yes Yes No
## 891 No Yes No Yes Yes No
## 892 No Yes No Yes Yes No
## 893 4 No No No No Yes
## 894 4 No No No Yes Yes
## 895 No No No No Yes No
## 896 4 Yes Yes Yes Yes No
## 897 No Yes Yes Yes Yes No
## 898 Yes No No No No Yes
## 899 Yes No No No No Yes
## 900 4 Yes Yes Yes Yes Yes
## 901 4 No Yes No No No
## 902 4 No Yes No No Yes
## 903 2 Yes Yes No Yes Yes
## 904 4 No No No Yes Yes
## 905 No No No No Yes No
## 906 No Yes Yes Yes Yes No
## 907 3 No No No No Yes
## 908 3 Yes Yes Yes Yes Yes
## 909 No Yes Yes Yes Yes No
## 910 No Yes No Yes Yes No
## 911 4 Yes No No No Yes
## 912 Yes No Yes No No Yes
## 913 No No No No No No
## 914 3 No No No No No
## 915 No No Yes Yes No No
## 916 No Yes Yes No No Yes
## 917 2 No No No No Yes
## 918 No Yes Yes Yes Yes No
## 919 Yes Yes Yes Yes Yes No
## 920 3 No No No No No
## 921 2 Yes Yes Yes Yes Yes
## 922 3 No No No No Yes
## 923 No No Yes No Yes No
## 924 No Yes Yes Yes Yes No
## 925 Yes Yes No Yes Yes No
## 926 Yes Yes No No No No
## 927 No Yes No No Yes No
## 928 4 No Yes Yes Yes Yes
## 929 2 Yes No Yes No Yes
## 930 No No No No No No
## 931 No No No No No No
## 932 4 No No No Yes Yes
## 933 2 No No No No Yes
## 934 No No No No No No
## 935 No No No No No No
## 936 No No No No No No
## 937 No No No No No No
## 938 2 No No No No No
## 939 No Yes Yes No No No
## 940 Yes Yes Yes No No No
## 941 No No No No No No
## 942 No Yes Yes Yes Yes No
## 943 Yes No Yes Yes No Yes
## 944 Yes Yes Yes Yes Yes No
## 945 No Yes Yes Yes Yes No
## 946 3 No No No No No
## 947 No No No No No No
## 948 No No No Yes No Yes
## 949 No No No No No No
## 950 3 Yes Yes Yes Yes No
## 951 No No No No No No
## 952 No Yes Yes Yes Yes No
## 953 No Yes Yes Yes No No
## 954 Yes No No No No No
## 955 4 No No No No Yes
## 956 Yes Yes Yes Yes Yes No
## 957 3 Yes Yes Yes No No
## 958 4 Yes Yes Yes Yes Yes
## 959 No Yes Yes Yes Yes No
## 960 No Yes Yes Yes Yes No
## 961 3 Yes Yes Yes Yes No
## 962 4 Yes Yes Yes Yes Yes
## 963 No No No No No No
## 964 3 No No No Yes Yes
## 965 No No No No No No
## 966 No No No No No No
## 967 No No No Yes Yes Yes
## 968 No No Yes Yes Yes No
## 969 No No No No No No
## 970 No No No Yes Yes No
## 971 No No No No No No
## 972 3 Yes Yes Yes Yes Yes
## 973 No Yes Yes No No Yes
## 974 No Yes Yes Yes Yes Yes
## 975 No Yes Yes Yes Yes No
## 976 Yes No No No No Yes
## 977 2 No No No No Yes
## 978 No No No No No No
## 979 No Yes Yes Yes Yes No
## 980 4 Yes Yes Yes Yes No
## 981 No Yes Yes Yes Yes No
## 982 No No No No No No
## 983 3 Yes Yes Yes Yes Yes
## 984 No No Yes Yes Yes No
## 985 No No No No No No
## 986 No Yes Yes No No No
## 987 2 Yes Yes Yes Yes No
## 988 4 No No No No Yes
## 989 No Yes Yes Yes Yes No
## 990 3 No No Yes No No
## 991 No No No No No No
## 992 No Yes Yes No No No
## 993 3 Yes Yes Yes Yes Yes
## 994 Yes Yes Yes Yes Yes Yes
## 995 No No No Yes No Yes
## 996 Yes No No No No No
## 997 2 Yes Yes Yes Yes Yes
## 998 No No Yes No Yes No
## 999 2 Yes Yes Yes Yes No
## 1000 4 No No No No Yes
## 1001 2 Yes No Yes Yes Yes
## 1002 No Yes Yes No No No
## 1003 4 Yes Yes Yes Yes No
## 1004 4 No No No No Yes
## 1005 3 No No No Yes No
## 1006 3 No Yes No No Yes
## 1007 No Yes Yes Yes Yes No
## 1008 No No No Yes No No
## 1009 No Yes Yes No Yes No
## 1010 Yes Yes No Yes Yes Yes
## 1011 Yes Yes Yes Yes Yes No
## 1012 2 No No No No Yes
## 1013 4 Yes Yes Yes Yes Yes
## 1014 Yes No No No Yes Yes
## 1015 No No No Yes Yes No
## 1016 No Yes Yes No No No
## 1017 No No No No No No
## 1018 No Yes Yes Yes Yes No
## 1019 No Yes No Yes No No
## 1020 No Yes Yes Yes Yes No
## 1021 No No No Yes No No
## 1022 Yes No Yes Yes Yes Yes
## 1023 4 No Yes No No Yes
## 1024 Yes No No No No Yes
## 1025 4 No No No No Yes
## 1026 No No No No Yes No
## 1027 No Yes Yes Yes Yes No
## 1028 No Yes No No No No
## 1029 3 No Yes No Yes Yes
## 1030 No Yes No No No No
## 1031 Yes Yes No Yes Yes Yes
## 1032 Yes No No No No No
## 1033 No Yes Yes Yes Yes No
## 1034 No No No No No No
## 1035 No No No Yes Yes No
## 1036 No Yes Yes Yes Yes No
## 1037 3 No No No No Yes
## 1038 4 No No No No Yes
## 1039 Yes Yes Yes Yes Yes Yes
## 1040 2 No No No No Yes
## 1041 No No No Yes Yes No
## 1042 2 Yes Yes Yes Yes Yes
## 1043 No Yes Yes Yes Yes No
## 1044 4 No No No No Yes
## 1045 No No Yes Yes Yes No
## 1046 3 No Yes No No Yes
## 1047 No No No No Yes No
## 1048 4 No No No No Yes
## 1049 Yes No No No No No
## 1050 No No No No No No
## 1051 3 Yes Yes No Yes Yes
## 1052 No Yes Yes Yes Yes No
## 1053 4 Yes Yes No Yes No
## 1054 2 No Yes Yes No No
## 1055 No No No No No No
## 1056 Yes No No No Yes No
## 1057 No Yes Yes Yes Yes No
## 1058 Yes Yes No No Yes No
## 1059 2 Yes Yes Yes No Yes
## 1060 2 No No Yes No Yes
## 1061 3 Yes Yes Yes Yes Yes
## 1062 No Yes No No No No
## 1063 4 Yes Yes No No Yes
## 1064 Yes No No No No Yes
## 1065 4 Yes Yes Yes Yes Yes
## 1066 2 Yes Yes Yes Yes No
## 1067 No No No No No No
## 1068 Yes Yes No Yes Yes No
## 1069 2 No No No Yes Yes
## 1070 3 No No Yes No Yes
## 1071 No Yes Yes Yes Yes No
## 1072 2 Yes Yes No No No
## 1073 2 No Yes Yes Yes Yes
## 1074 No No Yes Yes No No
## 1075 No No No No No No
## 1076 Yes Yes Yes Yes Yes No
## 1077 No No No Yes Yes No
## 1078 No Yes No Yes Yes No
## 1079 3 Yes No Yes Yes Yes
## 1080 No Yes Yes No No No
## 1081 4 No Yes No No Yes
## 1082 2 No No Yes No No
## 1083 4 Yes No Yes No No
## 1084 4 Yes No Yes Yes Yes
## 1085 2 Yes No No Yes No
## 1086 No Yes Yes Yes Yes No
## 1087 3 Yes Yes Yes Yes No
## 1088 No No No No No No
## 1089 No No No No No No
## 1090 Yes Yes Yes Yes Yes No
## 1091 Yes Yes Yes Yes No No
## 1092 4 Yes Yes Yes Yes Yes
## 1093 No Yes Yes Yes Yes No
## 1094 2 Yes Yes Yes Yes No
## 1095 No No No No Yes No
## 1096 Yes No No No No No
## 1097 3 No No No No Yes
## 1098 No No No No No Yes
## 1099 2 No No Yes No Yes
## 1100 No No No No No No
## 1101 No No No No No No
## 1102 No No No No No No
## 1103 4 No Yes No Yes No
## 1104 No Yes Yes Yes Yes No
## 1105 No Yes Yes Yes Yes No
## 1106 No Yes No Yes Yes No
## 1107 3 No No No No Yes
## 1108 No No No No Yes No
## 1109 No Yes No No Yes No
## 1110 2 Yes Yes Yes Yes No
## 1111 No Yes No No No No
## 1112 Yes Yes Yes Yes Yes Yes
## 1113 No No No Yes No No
## 1114 No Yes Yes Yes Yes No
## 1115 No Yes Yes Yes Yes No
## 1116 No Yes Yes No Yes No
## 1117 No Yes Yes Yes Yes No
## 1118 No Yes Yes Yes Yes No
## 1119 No No No No No No
## 1120 No No No No No Yes
## 1121 2 Yes Yes Yes Yes Yes
## 1122 3 Yes Yes Yes Yes Yes
## 1123 No Yes No Yes Yes No
## 1124 2 No No No No No
## 1125 3 No No No No Yes
## 1126 No No No No No No
## 1127 No No No No No No
## 1128 Yes No No No No Yes
## 1129 No No Yes No No No
## 1130 No No No No Yes No
## 1131 No Yes No Yes Yes No
## 1132 3 Yes Yes Yes Yes No
## 1133 No Yes Yes No No No
## 1134 No No No No No No
## 1135 Yes Yes Yes Yes Yes Yes
## 1136 2 No No No No No
## 1137 No Yes Yes Yes Yes No
## 1138 No No Yes No No No
## 1139 Yes No Yes Yes Yes Yes
## 1140 2 No No No No No
## 1141 No Yes Yes Yes Yes No
## 1142 Yes Yes Yes Yes Yes No
## 1143 2 No No No No Yes
## 1144 No Yes No No No No
## 1145 Yes No No Yes No No
## 1146 2 Yes Yes Yes Yes Yes
## 1147 3 No No No No Yes
## 1148 No Yes Yes Yes Yes No
## 1149 No Yes Yes Yes Yes No
## 1150 No Yes Yes Yes Yes No
## 1151 No Yes Yes Yes Yes No
## 1152 No Yes Yes No No No
## 1153 Yes No Yes Yes No No
## 1154 Yes Yes Yes Yes Yes No
## 1155 Yes No No No No No
## 1156 4 Yes Yes Yes Yes Yes
## 1157 No Yes Yes Yes Yes No
## 1158 3 No Yes No Yes Yes
## 1159 No Yes Yes Yes Yes No
## 1160 No No No Yes No No
## 1161 No Yes Yes Yes Yes Yes
## 1162 No No No No No No
## 1163 No No No No No No
## 1164 3 Yes No No No Yes
## 1165 No Yes Yes Yes Yes No
## 1166 2 No No No No Yes
## 1167 2 No No No No Yes
## 1168 4 No No No No Yes
## 1169 No Yes Yes Yes Yes No
## 1170 2 Yes No Yes Yes No
## 1171 No No No No No No
## 1172 No No No No No No
## 1173 Yes Yes Yes Yes Yes No
## 1174 Yes No No No No No
## 1175 3 No No No No Yes
## 1176 No No No No No No
## 1177 2 No No No No Yes
## 1178 No No No No No No
## 1179 No Yes Yes Yes Yes No
## 1180 No Yes Yes Yes Yes No
## 1181 4 No No No No Yes
## 1182 Yes Yes Yes Yes Yes Yes
## 1183 3 Yes Yes Yes Yes Yes
## 1184 No Yes No Yes Yes No
## 1185 2 No No No No Yes
## 1186 Yes Yes Yes Yes No No
## 1187 2 Yes No Yes No Yes
## 1188 Yes Yes No Yes Yes No
## 1189 3 No No No No No
## 1190 4 Yes Yes Yes Yes Yes
## 1191 No Yes Yes No No No
## 1192 No No No Yes No No
## 1193 No Yes Yes Yes Yes No
## 1194 4 No No No No Yes
## 1195 Yes Yes Yes Yes Yes Yes
## 1196 Yes Yes Yes Yes Yes Yes
## 1197 4 Yes No No No No
## 1198 No No No No No No
## 1199 No Yes Yes Yes Yes No
## 1200 No Yes Yes Yes Yes No
## 1201 Yes Yes Yes Yes Yes No
## 1202 2 No No No No No
## 1203 3 No Yes Yes Yes No
## 1204 3 No No No No No
## 1205 No No No No No Yes
## 1206 No No No Yes No No
## 1207 3 Yes Yes No Yes Yes
## 1208 3 Yes No No No No
## 1209 No Yes Yes Yes Yes No
## 1210 No Yes Yes Yes Yes No
## 1211 3 No No No No Yes
## 1212 No No No No No No
## 1213 No Yes Yes Yes Yes No
## 1214 2 Yes Yes Yes Yes Yes
## 1215 Yes No Yes Yes No No
## 1216 No Yes Yes Yes Yes No
## 1217 3 No No No No Yes
## 1218 No Yes No No No No
## 1219 No Yes Yes Yes Yes No
## 1220 4 No No No No Yes
## 1221 3 No Yes No No Yes
## 1222 No No No Yes Yes No
## 1223 No No No No No No
## 1224 No Yes Yes Yes Yes No
## 1225 Yes Yes Yes Yes Yes No
## 1226 No Yes Yes Yes Yes No
## 1227 No No No No No No
## 1228 No Yes Yes Yes Yes No
## 1229 No Yes Yes Yes Yes No
## 1230 No Yes Yes Yes Yes Yes
## 1231 No Yes Yes No Yes No
## 1232 4 No No No No Yes
## 1233 No Yes Yes Yes Yes No
## 1234 2 No Yes No No Yes
## 1235 No No No Yes No No
## 1236 No No No No No No
## 1237 No Yes Yes No Yes No
## 1238 No Yes No No Yes No
## 1239 No Yes No No No No
## 1240 2 Yes Yes Yes Yes Yes
## 1241 3 No No No Yes Yes
## 1242 3 Yes Yes Yes Yes Yes
## 1243 No Yes No No No No
## 1244 Yes Yes Yes Yes Yes No
## 1245 No Yes Yes Yes Yes No
## 1246 2 Yes Yes Yes Yes Yes
## 1247 No No No No No No
## 1248 No No Yes No No No
## 1249 4 No No No No Yes
## 1250 3 Yes Yes Yes Yes Yes
## 1251 No No No No No No
## 1252 Yes Yes Yes Yes Yes Yes
## 1253 4 No No No No Yes
## 1254 No No No No Yes No
## 1255 Yes No No No No No
## 1256 No No No No No No
## 1257 2 No Yes No No No
## 1258 No No No Yes Yes No
## 1259 No Yes Yes Yes Yes No
## 1260 No Yes No Yes Yes No
## 1261 No Yes Yes Yes Yes No
## 1262 No No No No No Yes
## 1263 No Yes Yes Yes Yes No
## 1264 No No No No No No
## 1265 No No No No No No
## 1266 No No No Yes No No
## 1267 No Yes Yes Yes Yes No
## 1268 No No No No No No
## 1269 Yes No No No No No
## 1270 3 No No No No Yes
## 1271 Yes No No No Yes Yes
## 1272 No No No No No No
## 1273 No Yes No Yes Yes No
## 1274 2 Yes No No No Yes
## 1275 No Yes Yes Yes Yes No
## 1276 Yes No Yes No No Yes
## 1277 4 Yes Yes Yes Yes Yes
## 1278 2 Yes Yes Yes Yes Yes
## 1279 2 No Yes No No Yes
## 1280 3 Yes Yes Yes Yes Yes
## 1281 Yes Yes Yes Yes Yes No
## 1282 2 No No No Yes No
## 1283 3 Yes Yes Yes Yes Yes
## 1284 4 No No No No Yes
## 1285 Yes No No No Yes Yes
## 1286 Yes Yes Yes Yes Yes No
## 1287 Yes Yes No No Yes Yes
## 1288 No Yes Yes Yes Yes No
## 1289 Yes Yes Yes Yes Yes Yes
## 1290 No Yes Yes No Yes No
## 1291 Yes Yes No No No Yes
## 1292 3 No No No No Yes
## 1293 No Yes Yes Yes Yes No
## 1294 No No Yes Yes No No
## 1295 No Yes Yes Yes Yes No
## 1296 No No No No No No
## 1297 No No No No No Yes
## 1298 4 Yes Yes Yes Yes Yes
## 1299 No Yes Yes Yes Yes No
## 1300 No No No No No No
## 1301 No Yes Yes Yes Yes Yes
## 1302 No No No No No No
## 1303 Yes No No No Yes No
## 1304 3 No Yes No Yes Yes
## 1305 No No No No No No
## 1306 No Yes Yes Yes No No
## 1307 2 No No No No Yes
## 1308 No No No No No No
## 1309 No No No No No No
## 1310 Yes Yes Yes Yes Yes No
## 1311 2 No No No No Yes
## 1312 No Yes Yes No No Yes
## 1313 No No No No Yes No
## 1314 2 Yes Yes No Yes Yes
## 1315 2 No No No No Yes
## 1316 2 No No No No Yes
## 1317 3 Yes Yes Yes Yes Yes
## 1318 No Yes Yes Yes Yes No
## 1319 No No No No No No
## 1320 No No No No No No
## 1321 No Yes Yes Yes Yes No
## 1322 No No No No No No
## 1323 No No No Yes No No
## 1324 No No No No No No
## 1325 2 No No No No No
## 1326 2 No No No No Yes
## 1327 Yes No No No No Yes
## 1328 No No No No No Yes
## 1329 Yes No No Yes No Yes
## 1330 No Yes Yes Yes Yes No
## 1331 4 Yes No Yes No Yes
## 1332 Yes No No No No Yes
## 1333 No Yes Yes Yes Yes No
## 1334 No Yes Yes Yes Yes No
## 1335 Yes Yes No Yes Yes No
## 1336 No No No No No No
## 1337 2 Yes Yes Yes Yes Yes
## 1338 3 Yes Yes Yes Yes No
## 1339 4 Yes Yes Yes Yes Yes
## 1340 No No No No No No
## 1341 3 Yes Yes Yes Yes Yes
## 1342 Yes Yes Yes Yes Yes No
## 1343 2 Yes Yes Yes Yes No
## 1344 3 No No No No Yes
## 1345 No No No No No No
## 1346 No Yes Yes Yes Yes No
## 1347 No Yes No No Yes No
## 1348 No No No No No No
## 1349 3 No No No No Yes
## 1350 No No No No No No
## 1351 No No No No No No
## 1352 No Yes Yes Yes Yes No
## 1353 No Yes Yes Yes No Yes
## 1354 No Yes Yes Yes Yes No
## 1355 3 No No No Yes Yes
## 1356 3 Yes Yes Yes No Yes
## 1357 Yes No No No No No
## 1358 3 No No No No Yes
## 1359 3 No No No No Yes
## 1360 4 Yes Yes Yes Yes Yes
## 1361 3 No No No No Yes
## 1362 No No No No No No
## 1363 Yes No No No No No
## 1364 No Yes Yes Yes Yes No
## 1365 Yes No No No Yes No
## 1366 Yes Yes Yes Yes Yes No
## 1367 No No No Yes No No
## 1368 Yes Yes Yes No No Yes
## 1369 2 Yes Yes Yes Yes No
## 1370 3 No No No No Yes
## 1371 No Yes Yes Yes Yes Yes
## 1372 No No No No No No
## 1373 Yes No No No No No
## 1374 3 Yes Yes Yes Yes No
## 1375 Yes No Yes No No No
## 1376 No No Yes No No No
## 1377 No Yes Yes Yes Yes No
## 1378 2 Yes Yes Yes No No
## 1379 Yes Yes Yes Yes Yes No
## 1380 Yes No No No Yes No
## 1381 4 Yes Yes Yes No Yes
## 1382 Yes Yes Yes Yes Yes No
## 1383 2 No No No No Yes
## 1384 2 No No No No No
## 1385 Yes Yes Yes Yes Yes Yes
## 1386 No No Yes No Yes No
## 1387 No Yes Yes No Yes Yes
## 1388 3 Yes Yes Yes Yes Yes
## 1389 No No No Yes No No
## 1390 4 Yes Yes Yes Yes Yes
## 1391 No Yes No No No No
## 1392 No No No No No No
## 1393 4 No No No No Yes
## 1394 3 Yes Yes Yes Yes No
## 1395 No Yes Yes Yes Yes No
## 1396 No No No No No No
## 1397 No No Yes Yes Yes No
## 1398 No No Yes Yes Yes Yes
## 1399 No Yes Yes Yes Yes No
## 1400 No No No No No No
## 1401 No No No No No No
## 1402 No No No No No No
## 1403 No Yes Yes Yes Yes No
## 1404 No No No No No No
## 1405 No No Yes No Yes No
## 1406 3 Yes Yes Yes Yes No
## 1407 Yes No No No No Yes
## 1408 No Yes No No No No
## 1409 No Yes No No No No
## 1410 No Yes Yes Yes No No
## 1411 3 Yes Yes Yes Yes Yes
## 1412 No No No No No No
## 1413 No Yes Yes Yes Yes Yes
## 1414 No Yes Yes Yes Yes No
## 1415 No Yes Yes Yes Yes Yes
## 1416 No No No No No No
## 1417 4 Yes Yes Yes Yes Yes
## 1418 Yes Yes Yes Yes Yes Yes
## 1419 3 No No No No Yes
## 1420 Yes Yes Yes Yes Yes No
## 1421 No No No No No No
## 1422 2 No No No No Yes
## 1423 2 No Yes Yes Yes No
## 1424 No No No No No No
## 1425 No Yes Yes Yes Yes No
## 1426 Yes No No No No No
## 1427 No Yes No No No No
## 1428 3 No No No No Yes
## 1429 4 No No No No Yes
## 1430 4 Yes Yes No Yes Yes
## 1431 No Yes Yes Yes Yes No
## 1432 No No Yes No No No
## 1433 4 Yes Yes Yes Yes Yes
## 1434 No Yes Yes Yes Yes No
## 1435 3 No Yes Yes No Yes
## 1436 4 Yes Yes Yes Yes No
## 1437 No No No Yes Yes No
## 1438 No Yes No No Yes No
## 1439 No Yes Yes Yes Yes Yes
## 1440 No No Yes Yes No No
## 1441 Yes No No No No Yes
## 1442 No Yes Yes Yes Yes No
## 1443 4 Yes Yes Yes Yes Yes
## 1444 No No No No No No
## 1445 No Yes Yes Yes No No
## 1446 3 Yes No Yes No Yes
## 1447 No Yes No No No No
## 1448 No No No No No No
## 1449 No Yes Yes Yes Yes No
## 1450 Yes Yes No No No Yes
## 1451 4 Yes Yes Yes No No
## 1452 2 No No No No No
## 1453 3 No No No No No
## 1454 No No No No No No
## 1455 Yes Yes Yes Yes Yes No
## 1456 No Yes Yes Yes Yes No
## 1457 Yes Yes Yes No Yes No
## 1458 No No No No No No
## 1459 No No Yes Yes Yes No
## 1460 3 Yes Yes Yes Yes Yes
## 1461 No Yes Yes Yes Yes Yes
## 1462 No Yes Yes Yes Yes No
## 1463 No Yes Yes Yes Yes No
## 1464 No Yes No Yes Yes No
## 1465 4 Yes Yes Yes Yes Yes
## 1466 No No No No No No
## 1467 No No No No Yes No
## 1468 No Yes Yes No Yes No
## 1469 No Yes Yes Yes Yes No
## 1470 No No No No No No
## 1471 No No No No No No
## 1472 No No No No No No
## 1473 No Yes No Yes Yes No
## 1474 2 No No No No No
## 1475 No No No No No No
## 1476 2 No No Yes No Yes
## 1477 4 Yes Yes Yes Yes Yes
## 1478 No No No No No No
## 1479 No Yes Yes Yes Yes No
## 1480 2 Yes Yes Yes Yes Yes
## 1481 No No No No No No
## 1482 No Yes Yes Yes Yes No
## 1483 2 Yes Yes Yes Yes Yes
## 1484 Yes No No No No No
## 1485 3 Yes Yes No Yes Yes
## 1486 No No Yes Yes Yes No
## 1487 3 No No Yes Yes Yes
## 1488 No Yes Yes Yes Yes Yes
## 1489 No Yes Yes Yes Yes No
## 1490 2 No No Yes No Yes
## 1491 No Yes No Yes Yes No
## 1492 3 No No No No Yes
## 1493 No No No No No No
## 1494 No No No No No No
## 1495 No Yes Yes Yes Yes No
## 1496 Yes No No No Yes No
## 1497 Yes Yes Yes No No Yes
## 1498 No No Yes No No No
## 1499 No No No No Yes No
## 1500 3 No No No Yes No
## 1501 No No No No No Yes
## 1502 No Yes Yes Yes Yes No
## 1503 4 No No No No Yes
## 1504 3 No No Yes Yes Yes
## 1505 3 Yes Yes Yes Yes No
## 1506 No Yes Yes Yes No No
## 1507 Yes Yes Yes Yes No No
## 1508 No Yes Yes No Yes No
## 1509 No No No No Yes No
## 1510 3 Yes Yes Yes Yes No
## 1511 No No No No No No
## 1512 No No Yes Yes No Yes
## 1513 No Yes Yes No Yes No
## 1514 No No No No No No
## 1515 2 Yes Yes Yes Yes Yes
## 1516 No Yes Yes No Yes No
## 1517 No No No No No No
## 1518 2 No Yes No Yes Yes
## 1519 3 No Yes No No Yes
## 1520 No Yes Yes Yes Yes Yes
## 1521 No No No No No No
## 1522 No No Yes No No Yes
## 1523 No Yes Yes Yes Yes No
## 1524 4 Yes Yes Yes Yes Yes
## 1525 2 Yes Yes Yes Yes No
## 1526 Yes No No No No No
## 1527 4 Yes Yes Yes Yes Yes
## 1528 No Yes Yes Yes Yes No
## 1529 No No No No No No
## 1530 No No No No No No
## 1531 3 No No No No Yes
## 1532 3 No No No No Yes
## 1533 2 No No No No Yes
## 1534 No No No No No No
## 1535 No Yes Yes Yes Yes No
## 1536 No No Yes No No No
## 1537 4 No No No No Yes
## 1538 Yes No No Yes No Yes
## 1539 2 No No Yes No Yes
## 1540 No Yes No No No No
## 1541 No Yes Yes No Yes No
## 1542 Yes Yes Yes Yes No Yes
## 1543 3 Yes Yes Yes Yes Yes
## 1544 No No No No Yes No
## 1545 4 Yes Yes Yes Yes Yes
## 1546 No Yes Yes Yes Yes Yes
## 1547 4 Yes Yes No No Yes
## 1548 No No No No No No
## 1549 No No No No Yes No
## 1550 3 Yes No No Yes Yes
## 1551 4 Yes Yes Yes Yes Yes
## 1552 4 Yes Yes Yes Yes Yes
## 1553 No No Yes No No No
## 1554 2 No Yes No No Yes
## 1555 No Yes Yes No Yes No
## 1556 No Yes Yes No Yes No
## 1557 No No Yes Yes Yes No
## 1558 No No No No No No
## 1559 3 Yes Yes Yes Yes Yes
## 1560 No Yes No Yes No No
## 1561 No Yes Yes Yes Yes No
## 1562 4 No No No No Yes
## 1563 No Yes Yes Yes Yes No
## 1564 2 No No No No Yes
## 1565 No Yes Yes Yes Yes No
## 1566 No No No No No No
## 1567 No No No No No No
## 1568 2 Yes No No No Yes
## 1569 No No No No No No
## 1570 3 No Yes Yes No No
## 1571 3 Yes Yes No Yes Yes
## 1572 2 No No No No Yes
## 1573 No No Yes Yes No No
## 1574 No No No No No No
## 1575 2 Yes Yes Yes Yes No
## 1576 3 Yes Yes Yes Yes Yes
## 1577 No Yes Yes No Yes No
## 1578 No No No No No No
## 1579 3 Yes Yes Yes Yes No
## 1580 No No No No No No
## 1581 No Yes Yes Yes Yes No
## 1582 No Yes Yes Yes Yes No
## 1583 3 Yes Yes Yes Yes No
## 1584 No Yes Yes Yes Yes No
## 1585 No Yes No No No No
## 1586 4 No No No No Yes
## 1587 4 No No No No Yes
## 1588 No Yes Yes Yes Yes No
## 1589 No No No No No Yes
## 1590 3 Yes Yes Yes Yes No
## 1591 No No No Yes No No
## 1592 No No No No No Yes
## 1593 No Yes Yes Yes No Yes
## 1594 2 Yes Yes Yes Yes No
## 1595 No No No No No No
## 1596 3 Yes Yes Yes Yes Yes
## 1597 No No No No No No
## 1598 No Yes No No No Yes
## 1599 3 Yes Yes Yes Yes No
## 1600 Yes Yes Yes Yes Yes No
## 1601 Yes Yes Yes Yes Yes No
## 1602 Yes Yes Yes Yes Yes No
## 1603 No Yes Yes No No No
## 1604 No Yes Yes Yes Yes No
## 1605 No No No No No No
## 1606 No No No No No No
## 1607 No Yes Yes Yes Yes No
## 1608 Yes No Yes No Yes No
## 1609 Yes Yes Yes Yes Yes Yes
## 1610 No Yes Yes Yes Yes No
## 1611 Yes Yes Yes Yes Yes No
## 1612 No Yes Yes No Yes No
## 1613 No Yes No No Yes No
## 1614 No Yes Yes Yes Yes No
## 1615 Yes No Yes No No Yes
## 1616 2 Yes No No Yes No
## 1617 2 Yes Yes Yes Yes Yes
## 1618 No Yes Yes Yes Yes No
## 1619 No Yes Yes Yes Yes No
## 1620 No Yes No Yes No No
## 1621 No No No No No No
## 1622 No No Yes No Yes Yes
## 1623 Yes No No No No No
## 1624 2 Yes No Yes No Yes
## 1625 No No No No No No
## 1626 No No Yes Yes No No
## 1627 2 Yes Yes Yes Yes No
## 1628 Yes No No No No Yes
## 1629 No Yes Yes No Yes No
## 1630 Yes No No No No Yes
## 1631 3 No No No No Yes
## 1632 No No No No No No
## 1633 No No No No No No
## 1634 No No Yes No No No
## 1635 No No No No No No
## 1636 No No No No No No
## 1637 No Yes Yes Yes No No
## 1638 No No No No No Yes
## 1639 No Yes Yes Yes Yes No
## 1640 No Yes Yes No Yes No
## 1641 No No No Yes Yes No
## 1642 Yes No No Yes No No
## 1643 No No No No No No
## 1644 No No No No No No
## 1645 No Yes Yes Yes Yes No
## 1646 4 Yes No Yes No Yes
## 1647 No Yes Yes Yes Yes No
## 1648 No No No No No No
## 1649 No Yes Yes Yes Yes No
## 1650 No Yes No Yes Yes No
## 1651 No No Yes Yes Yes No
## 1652 No Yes Yes Yes Yes Yes
## 1653 4 No No No No Yes
## 1654 Yes No No No No Yes
## 1655 No No No No No No
## 1656 3 No Yes Yes Yes Yes
## 1657 Yes Yes No Yes No No
## 1658 Yes No No No No No
## 1659 3 Yes Yes Yes Yes No
## 1660 No No Yes Yes Yes No
## 1661 3 Yes Yes Yes Yes Yes
## 1662 No Yes Yes No No No
## 1663 No No No Yes No No
## 1664 4 No No No No Yes
## 1665 2 No Yes No No No
## 1666 No No No No No No
## 1667 No Yes No Yes No No
## 1668 2 No No No No Yes
## 1669 No Yes Yes No No No
## 1670 2 Yes Yes Yes Yes Yes
## 1671 Yes No No No No No
## 1672 No Yes Yes Yes Yes No
## 1673 No Yes No Yes Yes No
## 1674 No Yes Yes Yes Yes No
## 1675 3 No No No No No
## 1676 4 Yes Yes Yes Yes Yes
## 1677 No No Yes No No No
## 1678 3 No No No No Yes
## 1679 3 No No No No No
## 1680 3 No No No No Yes
## 1681 No Yes No Yes No No
## 1682 2 Yes Yes Yes Yes Yes
## 1683 2 Yes Yes Yes Yes Yes
## 1684 No No No No No No
## 1685 No No No No No No
## 1686 Yes Yes No Yes Yes Yes
## 1687 No Yes Yes Yes Yes No
## 1688 No Yes No Yes Yes No
## 1689 No No No Yes No No
## 1690 No No No No No Yes
## 1691 No No Yes Yes Yes No
## 1692 No No No No No No
## 1693 2 Yes Yes Yes Yes Yes
## 1694 No Yes Yes Yes Yes No
## TVWatchingHours OwnsPC OwnsMobileDevice OwnsGameSystem OwnsFax
## 1 13 No Yes Yes No
## 2 18 Yes Yes Yes Yes
## 3 21 No No No No
## 4 26 Yes Yes Yes No
## 5 27 Yes No Yes No
## 6 21 No No No No
## 7 19 Yes Yes No No
## 8 13 No No No No
## 9 25 No No No No
## 10 21 No No No No
## 11 26 Yes Yes No No
## 12 27 No No No No
## 13 21 Yes No No No
## 14 21 Yes No No No
## 15 24 Yes No Yes Yes
## 16 22 Yes No No Yes
## 17 17 Yes Yes Yes Yes
## 18 24 No No No No
## 19 16 No No No No
## 20 22 Yes Yes No No
## 21 25 Yes Yes Yes No
## 22 21 Yes No Yes No
## 23 13 Yes No Yes No
## 24 21 Yes Yes Yes No
## 25 32 Yes Yes No No
## 26 22 Yes Yes Yes No
## 27 17 Yes Yes Yes Yes
## 28 13 No Yes Yes No
## 29 23 No No No No
## 30 15 Yes Yes Yes No
## 31 25 Yes No Yes No
## 32 20 Yes Yes Yes Yes
## 33 29 No No No No
## 34 30 No No Yes No
## 35 10 Yes Yes Yes Yes
## 36 29 Yes Yes Yes No
## 37 22 Yes Yes Yes No
## 38 21 Yes No No No
## 39 22 Yes Yes Yes Yes
## 40 13 Yes Yes Yes Yes
## 41 29 No No No No
## 42 22 Yes No Yes No
## 43 20 No No No No
## 44 28 Yes No No No
## 45 19 Yes Yes No No
## 46 12 No No No No
## 47 18 No No Yes No
## 48 13 No No No No
## 49 17 Yes No Yes No
## 50 13 Yes Yes Yes Yes
## 51 18 No Yes Yes No
## 52 16 Yes Yes No No
## 53 26 Yes No No No
## 54 22 Yes Yes Yes Yes
## 55 12 Yes Yes Yes No
## 56 18 No Yes No No
## 57 14 Yes Yes Yes Yes
## 58 22 Yes Yes Yes No
## 59 21 No No No Yes
## 60 18 Yes Yes Yes No
## 61 20 No No No No
## 62 22 Yes Yes Yes Yes
## 63 20 Yes No No Yes
## 64 33 No No No No
## 65 19 Yes No No No
## 66 24 Yes No No No
## 67 21 No No No No
## 68 20 Yes No Yes No
## 69 17 Yes No No No
## 70 16 No No No No
## 71 15 Yes No Yes No
## 72 17 Yes No Yes Yes
## 73 18 No Yes No No
## 74 20 Yes Yes Yes No
## 75 16 Yes No No No
## 76 15 No No No No
## 77 17 Yes No No Yes
## 78 19 No No No No
## 79 29 No No No No
## 80 20 Yes Yes Yes No
## 81 16 Yes Yes Yes No
## 82 24 No No No No
## 83 20 Yes Yes Yes No
## 84 16 Yes No No No
## 85 24 Yes Yes No Yes
## 86 22 Yes No Yes No
## 87 21 Yes Yes No Yes
## 88 33 Yes Yes Yes Yes
## 89 19 Yes No Yes Yes
## 90 16 No No No Yes
## 91 16 Yes Yes Yes No
## 92 17 No No Yes No
## 93 20 Yes Yes Yes No
## 94 16 No No No No
## 95 16 Yes No Yes No
## 96 21 No No No No
## 97 23 Yes Yes Yes No
## 98 27 Yes Yes Yes No
## 99 12 Yes Yes Yes No
## 100 27 No No Yes No
## 101 20 Yes Yes Yes Yes
## 102 20 No Yes No No
## 103 18 No No No No
## 104 15 No Yes No No
## 105 23 Yes No Yes No
## 106 14 Yes Yes No No
## 107 24 Yes Yes No No
## 108 21 Yes Yes No No
## 109 22 No No Yes No
## 110 18 Yes No Yes No
## 111 16 No No No No
## 112 19 Yes Yes Yes Yes
## 113 28 No Yes No No
## 114 25 No Yes Yes No
## 115 18 No No No No
## 116 14 No No No No
## 117 21 Yes No No No
## 118 20 Yes Yes Yes No
## 119 18 Yes No Yes No
## 120 20 Yes Yes Yes No
## 121 15 Yes Yes Yes Yes
## 122 23 No Yes No No
## 123 16 No No No No
## 124 24 Yes No Yes No
## 125 17 Yes No No No
## 126 23 Yes No No No
## 127 21 Yes Yes Yes Yes
## 128 13 Yes No No No
## 129 25 No No No No
## 130 24 No Yes Yes No
## 131 12 No No Yes No
## 132 23 Yes No No Yes
## 133 18 No No Yes No
## 134 16 No No Yes No
## 135 25 No No Yes No
## 136 0 Yes Yes Yes No
## 137 14 No Yes No No
## 138 18 No No No No
## 139 27 No No No No
## 140 17 Yes Yes No No
## 141 17 No No No No
## 142 0 Yes Yes No No
## 143 21 No No No No
## 144 0 Yes No No No
## 145 29 Yes No No No
## 146 19 Yes Yes Yes No
## 147 14 Yes Yes Yes Yes
## 148 23 Yes No No No
## 149 17 No No No No
## 150 24 Yes Yes Yes No
## 151 28 Yes Yes Yes No
## 152 21 Yes Yes Yes No
## 153 15 No No No No
## 154 22 No Yes No No
## 155 20 Yes Yes No No
## 156 17 No No No No
## 157 17 Yes Yes Yes No
## 158 23 Yes No No No
## 159 26 Yes Yes Yes No
## 160 13 Yes No No No
## 161 20 No No No No
## 162 20 No Yes No No
## 163 20 Yes Yes Yes No
## 164 23 No No No No
## 165 12 Yes No No Yes
## 166 19 Yes Yes Yes No
## 167 20 No No Yes No
## 168 17 Yes No No No
## 169 25 Yes No Yes No
## 170 24 No No No No
## 171 16 Yes Yes Yes No
## 172 20 No No No Yes
## 173 21 Yes No Yes No
## 174 22 Yes Yes Yes No
## 175 13 No Yes Yes No
## 176 10 No No No No
## 177 20 No Yes No No
## 178 18 Yes Yes Yes Yes
## 179 19 No Yes Yes No
## 180 7 No No No No
## 181 18 No No No No
## 182 21 No No No No
## 183 30 Yes No No No
## 184 17 No No No No
## 185 25 Yes No No No
## 186 23 No No No No
## 187 13 Yes Yes Yes No
## 188 21 No Yes Yes No
## 189 21 Yes Yes Yes No
## 190 21 Yes Yes Yes No
## 191 16 No No No No
## 192 22 Yes No No No
## 193 18 No No No No
## 194 20 Yes Yes Yes No
## 195 19 No No Yes No
## 196 23 No No No No
## 197 25 No Yes No No
## 198 21 Yes Yes Yes Yes
## 199 14 No Yes No No
## 200 18 Yes No No No
## 201 23 Yes Yes Yes No
## 202 19 No Yes No No
## 203 21 No No No No
## 204 18 Yes Yes No No
## 205 22 No No Yes No
## 206 13 No No No No
## 207 24 Yes Yes No No
## 208 21 No No No No
## 209 20 Yes Yes Yes No
## 210 21 Yes Yes Yes No
## 211 13 Yes Yes Yes No
## 212 19 No No Yes No
## 213 22 Yes Yes Yes Yes
## 214 15 Yes No No No
## 215 20 Yes No Yes Yes
## 216 19 Yes Yes Yes Yes
## 217 27 No No No Yes
## 218 18 No No No No
## 219 17 Yes No Yes No
## 220 17 Yes No Yes No
## 221 23 Yes Yes Yes Yes
## 222 13 Yes No No No
## 223 19 Yes Yes Yes No
## 224 16 Yes Yes No No
## 225 14 Yes No Yes No
## 226 35 No No Yes No
## 227 15 No No No No
## 228 16 Yes Yes Yes No
## 229 18 Yes Yes Yes No
## 230 16 No No No No
## 231 17 Yes Yes Yes Yes
## 232 0 Yes Yes Yes Yes
## 233 17 Yes No No No
## 234 18 Yes Yes Yes No
## 235 28 No No No No
## 236 22 Yes No No Yes
## 237 17 No No No No
## 238 10 Yes Yes Yes No
## 239 18 Yes No No No
## 240 24 Yes Yes No No
## 241 20 Yes Yes Yes No
## 242 19 No No No No
## 243 14 Yes Yes Yes No
## 244 25 Yes No Yes No
## 245 27 Yes No No No
## 246 12 Yes Yes No No
## 247 19 Yes Yes Yes Yes
## 248 25 Yes Yes Yes Yes
## 249 18 No Yes No No
## 250 17 Yes No Yes No
## 251 14 No No No No
## 252 23 No No Yes No
## 253 23 Yes No No Yes
## 254 22 Yes Yes Yes No
## 255 23 Yes Yes Yes Yes
## 256 20 No No No No
## 257 25 Yes Yes Yes Yes
## 258 25 Yes No No No
## 259 18 Yes Yes Yes No
## 260 18 Yes No No No
## 261 11 Yes Yes Yes Yes
## 262 11 Yes No No No
## 263 15 No No No No
## 264 19 Yes No Yes No
## 265 18 Yes No Yes No
## 266 22 Yes No No Yes
## 267 15 Yes Yes Yes No
## 268 11 No No No No
## 269 14 Yes Yes Yes No
## 270 19 Yes No Yes No
## 271 13 Yes No No No
## 272 17 No No No No
## 273 20 No No No No
## 274 27 No No No Yes
## 275 27 Yes No Yes No
## 276 0 No No No No
## 277 13 Yes Yes Yes No
## 278 16 Yes Yes Yes Yes
## 279 19 No No No No
## 280 18 No No No No
## 281 20 No Yes No No
## 282 27 No No No Yes
## 283 17 Yes Yes No No
## 284 18 Yes No Yes No
## 285 18 No No No No
## 286 22 Yes Yes No No
## 287 20 Yes Yes Yes Yes
## 288 17 Yes No No No
## 289 14 Yes Yes No No
## 290 26 Yes Yes Yes No
## 291 20 Yes Yes Yes Yes
## 292 26 No No No No
## 293 29 No No No No
## 294 15 Yes Yes Yes Yes
## 295 18 No No Yes Yes
## 296 28 No Yes No No
## 297 21 Yes Yes Yes Yes
## 298 20 Yes No No No
## 299 22 Yes Yes No Yes
## 300 13 Yes Yes Yes No
## 301 21 Yes Yes No No
## 302 19 Yes Yes No Yes
## 303 22 Yes Yes No No
## 304 20 No No No No
## 305 16 No No Yes Yes
## 306 18 Yes Yes No No
## 307 19 No No No No
## 308 31 No No No No
## 309 19 Yes No No Yes
## 310 21 Yes Yes Yes No
## 311 20 No Yes Yes Yes
## 312 0 No No No No
## 313 33 Yes Yes Yes Yes
## 314 19 No No No No
## 315 24 Yes Yes No No
## 316 16 Yes Yes Yes No
## 317 21 No No No Yes
## 318 14 Yes Yes Yes No
## 319 20 Yes Yes Yes No
## 320 21 Yes Yes Yes Yes
## 321 15 No No Yes No
## 322 0 No No No No
## 323 24 Yes No No No
## 324 18 Yes Yes Yes Yes
## 325 28 No No Yes No
## 326 25 No No No No
## 327 0 Yes No Yes No
## 328 12 Yes Yes Yes Yes
## 329 16 Yes Yes Yes No
## 330 19 No No No No
## 331 12 Yes Yes Yes No
## 332 21 Yes No Yes Yes
## 333 22 No Yes No No
## 334 24 No Yes No No
## 335 16 Yes No No No
## 336 25 No No No No
## 337 27 Yes Yes Yes No
## 338 26 Yes Yes No No
## 339 0 Yes Yes Yes Yes
## 340 16 No No Yes No
## 341 20 No No No No
## 342 22 No No No No
## 343 20 Yes No Yes Yes
## 344 21 No No No No
## 345 23 No No No No
## 346 22 No No No No
## 347 18 No No Yes No
## 348 20 No No No No
## 349 12 No No No No
## 350 21 Yes No Yes Yes
## 351 21 Yes No Yes No
## 352 19 No No No No
## 353 17 Yes Yes Yes No
## 354 24 No No No No
## 355 19 Yes No Yes No
## 356 17 Yes Yes Yes No
## 357 18 Yes Yes No Yes
## 358 19 Yes No Yes Yes
## 359 15 Yes No No No
## 360 29 No No No No
## 361 13 Yes No Yes No
## 362 17 No No No No
## 363 18 No No No No
## 364 23 No No No No
## 365 21 No No No No
## 366 27 Yes Yes Yes No
## 367 21 Yes Yes Yes No
## 368 24 No No No No
## 369 13 Yes Yes Yes No
## 370 25 Yes No Yes No
## 371 26 No No No No
## 372 16 Yes No No No
## 373 19 No No Yes No
## 374 16 Yes No No No
## 375 19 Yes No Yes Yes
## 376 12 Yes No No No
## 377 16 Yes Yes Yes No
## 378 20 Yes No No No
## 379 19 Yes Yes No No
## 380 19 Yes Yes Yes Yes
## 381 27 No No No No
## 382 18 No No No No
## 383 27 Yes Yes Yes Yes
## 384 22 Yes No No No
## 385 21 Yes No No Yes
## 386 17 No No Yes No
## 387 15 Yes No No No
## 388 14 Yes Yes Yes Yes
## 389 20 Yes Yes No Yes
## 390 23 No No Yes No
## 391 22 No No No No
## 392 15 Yes Yes Yes No
## 393 20 No Yes No No
## 394 17 Yes Yes Yes No
## 395 18 Yes Yes No No
## 396 29 Yes No Yes No
## 397 24 No No No No
## 398 18 Yes Yes Yes Yes
## 399 26 No No No No
## 400 20 No No No No
## 401 20 Yes No Yes Yes
## 402 25 Yes Yes Yes Yes
## 403 14 Yes Yes Yes No
## 404 21 Yes No Yes No
## 405 20 Yes No No No
## 406 12 Yes Yes Yes Yes
## 407 18 Yes Yes No No
## 408 17 Yes Yes Yes No
## 409 16 Yes No Yes No
## 410 22 Yes No No No
## 411 15 Yes No Yes No
## 412 29 No No No No
## 413 14 No No No No
## 414 13 No Yes No No
## 415 18 Yes No No No
## 416 15 Yes Yes Yes No
## 417 20 Yes Yes Yes Yes
## 418 24 Yes Yes Yes No
## 419 26 No No No No
## 420 21 No No No No
## 421 26 Yes Yes Yes No
## 422 20 No Yes Yes No
## 423 20 No No No No
## 424 22 No No Yes Yes
## 425 14 Yes Yes Yes Yes
## 426 20 Yes Yes No Yes
## 427 25 No Yes No No
## 428 0 Yes No Yes No
## 429 20 No Yes No No
## 430 20 Yes Yes Yes Yes
## 431 25 No Yes Yes Yes
## 432 20 Yes Yes No No
## 433 22 Yes Yes Yes Yes
## 434 18 Yes Yes No No
## 435 19 Yes Yes No No
## 436 15 No No No No
## 437 19 Yes No Yes No
## 438 14 Yes No Yes No
## 439 19 No No No No
## 440 14 Yes Yes Yes Yes
## 441 17 Yes Yes Yes Yes
## 442 13 Yes Yes Yes No
## 443 24 Yes Yes No Yes
## 444 15 Yes No No No
## 445 26 No Yes No No
## 446 17 Yes Yes Yes No
## 447 20 Yes No No Yes
## 448 21 Yes No Yes No
## 449 24 Yes Yes No No
## 450 22 Yes No No No
## 451 27 Yes No No No
## 452 23 Yes Yes Yes No
## 453 20 Yes Yes Yes No
## 454 14 Yes No Yes No
## 455 20 Yes No No No
## 456 22 No No No No
## 457 21 Yes Yes No No
## 458 20 Yes Yes No No
## 459 18 Yes Yes Yes No
## 460 20 No No No No
## 461 16 No No Yes No
## 462 27 No No No No
## 463 20 No No No No
## 464 29 Yes Yes Yes No
## 465 27 Yes Yes No Yes
## 466 24 No No No No
## 467 18 Yes No Yes No
## 468 18 No No No No
## 469 22 Yes No No No
## 470 17 Yes Yes Yes No
## 471 18 Yes No No No
## 472 30 Yes Yes Yes Yes
## 473 22 No No No No
## 474 13 Yes Yes Yes No
## 475 21 Yes Yes No No
## 476 20 No No No No
## 477 22 No No No Yes
## 478 14 Yes No No No
## 479 19 Yes Yes Yes No
## 480 17 Yes Yes Yes Yes
## 481 17 Yes Yes Yes Yes
## 482 15 Yes No No No
## 483 22 Yes Yes No No
## 484 17 No No No No
## 485 26 Yes No No No
## 486 21 Yes Yes Yes No
## 487 18 No No Yes No
## 488 24 Yes Yes Yes Yes
## 489 23 Yes No No No
## 490 21 Yes Yes Yes No
## 491 19 No No Yes No
## 492 12 Yes No Yes No
## 493 15 No No No No
## 494 25 Yes Yes Yes No
## 495 24 No No No No
## 496 16 No No No No
## 497 25 No No No No
## 498 19 Yes Yes Yes No
## 499 21 No No No Yes
## 500 25 No Yes No No
## 501 11 Yes Yes Yes Yes
## 502 15 Yes No No No
## 503 15 No No No Yes
## 504 23 No No No No
## 505 22 Yes No Yes Yes
## 506 27 Yes No Yes No
## 507 21 Yes No Yes No
## 508 17 Yes Yes Yes Yes
## 509 27 Yes No Yes Yes
## 510 16 Yes Yes No No
## 511 0 Yes No Yes No
## 512 22 Yes Yes No No
## 513 22 Yes Yes Yes No
## 514 19 No No Yes No
## 515 18 Yes No No No
## 516 26 No Yes No No
## 517 13 Yes No No Yes
## 518 16 No Yes Yes No
## 519 24 Yes No No No
## 520 22 No No No No
## 521 19 No No No No
## 522 25 Yes Yes Yes Yes
## 523 19 Yes Yes Yes No
## 524 19 Yes No No No
## 525 27 No No No No
## 526 21 Yes Yes Yes Yes
## 527 21 Yes Yes No No
## 528 21 Yes Yes No No
## 529 19 Yes Yes Yes No
## 530 18 Yes Yes Yes Yes
## 531 21 Yes Yes Yes No
## 532 17 Yes No No No
## 533 20 No Yes No No
## 534 19 Yes Yes Yes Yes
## 535 13 No No No No
## 536 23 Yes No Yes No
## 537 19 No No No No
## 538 18 Yes Yes Yes Yes
## 539 18 Yes Yes Yes No
## 540 19 Yes No Yes Yes
## 541 23 Yes Yes No No
## 542 23 No No No No
## 543 13 Yes No No No
## 544 15 No No Yes No
## 545 19 No No No No
## 546 25 No Yes Yes No
## 547 19 No No No No
## 548 20 Yes Yes No Yes
## 549 14 Yes Yes Yes No
## 550 19 Yes Yes No Yes
## 551 13 No Yes No No
## 552 16 Yes Yes Yes Yes
## 553 19 Yes No Yes No
## 554 19 Yes Yes No No
## 555 25 No No No No
## 556 22 Yes No Yes No
## 557 21 No No Yes No
## 558 21 No No No No
## 559 18 Yes Yes Yes No
## 560 23 Yes Yes No No
## 561 19 Yes No No No
## 562 25 Yes Yes Yes No
## 563 26 No No No No
## 564 22 No No No No
## 565 16 No No No No
## 566 11 No No No Yes
## 567 17 No No No No
## 568 16 Yes Yes No No
## 569 17 No No No No
## 570 20 Yes Yes Yes Yes
## 571 23 Yes No Yes No
## 572 19 Yes Yes Yes No
## 573 18 Yes Yes Yes Yes
## 574 18 No No No No
## 575 12 No No No No
## 576 28 Yes Yes Yes Yes
## 577 15 Yes No Yes No
## 578 21 Yes Yes Yes No
## 579 13 Yes Yes Yes Yes
## 580 22 No No No Yes
## 581 22 Yes Yes Yes No
## 582 17 No Yes Yes Yes
## 583 23 Yes No No No
## 584 12 Yes Yes Yes No
## 585 27 Yes Yes No No
## 586 21 Yes Yes Yes No
## 587 23 No No No Yes
## 588 19 Yes No No No
## 589 17 Yes No Yes No
## 590 34 Yes No No No
## 591 18 Yes Yes Yes Yes
## 592 19 Yes Yes Yes No
## 593 19 Yes No No No
## 594 15 No No No No
## 595 18 Yes No No No
## 596 26 No No No No
## 597 16 No Yes Yes No
## 598 12 No No No No
## 599 17 No Yes No No
## 600 22 Yes Yes No No
## 601 0 Yes No No No
## 602 24 Yes Yes Yes No
## 603 23 Yes Yes Yes Yes
## 604 16 Yes No Yes No
## 605 20 No No Yes No
## 606 16 Yes No No No
## 607 16 Yes Yes Yes No
## 608 21 No No No No
## 609 24 Yes Yes No No
## 610 17 Yes No Yes No
## 611 19 Yes Yes Yes No
## 612 17 No No No No
## 613 25 No Yes Yes No
## 614 18 Yes No Yes No
## 615 19 Yes Yes Yes Yes
## 616 24 Yes No Yes No
## 617 15 Yes No Yes No
## 618 20 Yes No No No
## 619 26 Yes Yes Yes Yes
## 620 22 No No No No
## 621 21 Yes No No Yes
## 622 17 Yes Yes Yes Yes
## 623 20 Yes Yes No No
## 624 26 No Yes No No
## 625 25 Yes No Yes No
## 626 23 No No No No
## 627 21 No No No No
## 628 20 Yes No Yes No
## 629 21 No No No No
## 630 15 Yes Yes Yes No
## 631 17 Yes Yes Yes Yes
## 632 21 Yes Yes No No
## 633 19 Yes Yes Yes Yes
## 634 15 No No No No
## 635 20 Yes Yes Yes No
## 636 20 No Yes No No
## 637 15 Yes No Yes Yes
## 638 16 No No No No
## 639 21 Yes No Yes Yes
## 640 14 Yes Yes Yes No
## 641 13 Yes No Yes No
## 642 16 No No No No
## 643 11 Yes Yes No Yes
## 644 18 Yes Yes Yes No
## 645 19 Yes Yes Yes No
## 646 22 Yes Yes Yes Yes
## 647 25 No No No No
## 648 17 No No Yes Yes
## 649 20 Yes Yes Yes Yes
## 650 22 No No Yes No
## 651 10 Yes Yes No No
## 652 14 No No No No
## 653 16 Yes No No No
## 654 18 Yes Yes Yes No
## 655 14 Yes No No Yes
## 656 0 No No No No
## 657 22 Yes Yes No Yes
## 658 16 Yes Yes Yes No
## 659 17 Yes Yes Yes No
## 660 15 Yes No No No
## 661 14 No No No No
## 662 12 No No No Yes
## 663 21 Yes Yes Yes No
## 664 23 Yes No No No
## 665 9 No Yes Yes No
## 666 18 No Yes No No
## 667 27 Yes Yes Yes No
## 668 15 Yes No Yes No
## 669 20 Yes No Yes No
## 670 23 Yes Yes Yes No
## 671 20 Yes Yes Yes No
## 672 19 Yes Yes Yes No
## 673 16 No No No No
## 674 18 Yes No Yes No
## 675 27 Yes Yes Yes Yes
## 676 22 Yes Yes Yes No
## 677 19 Yes No Yes No
## 678 15 Yes Yes Yes Yes
## 679 22 Yes No Yes No
## 680 25 Yes No Yes No
## 681 16 No Yes No No
## 682 19 Yes No Yes Yes
## 683 21 No No Yes No
## 684 23 Yes Yes No No
## 685 30 Yes Yes Yes No
## 686 15 No No Yes No
## 687 14 Yes No No No
## 688 24 No No No No
## 689 16 No Yes No No
## 690 21 No No No No
## 691 31 No No No No
## 692 34 No No No No
## 693 22 No No No No
## 694 14 Yes Yes Yes No
## 695 21 Yes Yes Yes Yes
## 696 19 Yes Yes Yes No
## 697 28 Yes Yes No No
## 698 27 Yes No Yes No
## 699 20 Yes Yes No No
## 700 23 Yes Yes No No
## 701 23 Yes Yes Yes Yes
## 702 22 Yes Yes Yes No
## 703 19 Yes Yes Yes No
## 704 15 Yes Yes Yes No
## 705 21 Yes Yes No No
## 706 20 No No No No
## 707 20 No No No Yes
## 708 20 Yes Yes Yes Yes
## 709 20 Yes Yes Yes No
## 710 18 Yes Yes Yes Yes
## 711 16 Yes No No No
## 712 19 Yes Yes No No
## 713 22 No No No No
## 714 18 No No No No
## 715 15 Yes No Yes No
## 716 22 No No No No
## 717 28 No No No No
## 718 19 No No No No
## 719 17 Yes Yes Yes No
## 720 26 Yes No Yes No
## 721 24 Yes No Yes No
## 722 24 Yes Yes Yes No
## 723 23 Yes No No No
## 724 25 No No No No
## 725 27 Yes Yes Yes No
## 726 14 Yes Yes Yes No
## 727 19 Yes Yes No No
## 728 21 No No No No
## 729 20 No No No No
## 730 0 Yes Yes Yes No
## 731 19 No No No No
## 732 14 Yes No No No
## 733 16 Yes Yes Yes Yes
## 734 18 Yes No No No
## 735 22 No Yes No No
## 736 20 No No No No
## 737 26 Yes Yes Yes No
## 738 16 No No No No
## 739 19 Yes No No No
## 740 0 No No No No
## 741 14 Yes Yes No No
## 742 18 Yes Yes Yes Yes
## 743 36 Yes No No No
## 744 20 Yes No No No
## 745 18 Yes Yes Yes No
## 746 28 Yes Yes Yes No
## 747 18 No No No No
## 748 22 Yes No No No
## 749 17 Yes Yes Yes No
## 750 20 No No Yes No
## 751 25 No No No No
## 752 16 No No No No
## 753 20 Yes Yes Yes No
## 754 19 Yes Yes Yes Yes
## 755 25 Yes Yes Yes No
## 756 19 Yes Yes Yes No
## 757 29 No No No No
## 758 19 Yes Yes Yes No
## 759 16 Yes Yes Yes No
## 760 22 Yes Yes No No
## 761 19 Yes Yes Yes No
## 762 25 No No No No
## 763 22 Yes Yes No No
## 764 14 No No Yes No
## 765 19 Yes Yes Yes No
## 766 27 No No No No
## 767 16 Yes Yes Yes No
## 768 14 Yes No Yes No
## 769 11 Yes Yes No No
## 770 17 Yes No Yes No
## 771 19 No Yes Yes No
## 772 17 Yes Yes Yes Yes
## 773 15 Yes Yes Yes Yes
## 774 13 Yes Yes Yes No
## 775 15 No Yes No Yes
## 776 24 Yes Yes Yes No
## 777 16 Yes Yes Yes No
## 778 18 Yes Yes No Yes
## 779 17 No No No No
## 780 22 Yes No Yes No
## 781 14 No Yes No No
## 782 18 No No No No
## 783 17 No Yes Yes No
## 784 26 No Yes Yes No
## 785 16 No Yes No No
## 786 21 Yes Yes Yes No
## 787 25 No No Yes No
## 788 17 Yes Yes Yes Yes
## 789 17 Yes Yes Yes Yes
## 790 16 Yes Yes Yes Yes
## 791 27 Yes No No No
## 792 11 Yes No No No
## 793 16 No No No No
## 794 26 No No No No
## 795 20 Yes Yes Yes Yes
## 796 22 Yes No No No
## 797 28 Yes Yes Yes No
## 798 19 No No No No
## 799 14 Yes Yes Yes No
## 800 21 No No No No
## 801 17 Yes Yes Yes No
## 802 25 No Yes No No
## 803 13 Yes Yes Yes No
## 804 19 Yes Yes No No
## 805 18 Yes No No No
## 806 23 Yes Yes Yes Yes
## 807 23 Yes Yes No No
## 808 24 Yes Yes Yes No
## 809 22 Yes Yes Yes No
## 810 21 Yes Yes Yes No
## 811 8 No Yes No No
## 812 25 Yes Yes Yes Yes
## 813 20 Yes Yes Yes Yes
## 814 26 Yes No No No
## 815 24 Yes Yes Yes No
## 816 12 No No Yes No
## 817 14 Yes No No No
## 818 22 No Yes No No
## 819 21 No No No No
## 820 24 No No No No
## 821 21 Yes No Yes No
## 822 19 No No No No
## 823 22 No No No No
## 824 21 No No No No
## 825 20 No Yes No No
## 826 20 Yes Yes No Yes
## 827 19 Yes No Yes No
## 828 21 Yes Yes No No
## 829 16 No No No No
## 830 14 No No Yes No
## 831 16 Yes Yes Yes No
## 832 25 No No No No
## 833 15 Yes No Yes No
## 834 25 Yes No No No
## 835 19 Yes No Yes No
## 836 18 Yes No Yes No
## 837 13 No No Yes No
## 838 22 No No No No
## 839 26 No No No No
## 840 18 Yes Yes No No
## 841 12 Yes Yes Yes Yes
## 842 11 No No No No
## 843 21 Yes Yes Yes No
## 844 22 Yes Yes No No
## 845 17 Yes Yes No No
## 846 27 Yes No No No
## 847 26 No No No No
## 848 15 Yes Yes No No
## 849 16 Yes Yes Yes Yes
## 850 16 Yes Yes Yes No
## 851 18 Yes Yes No No
## 852 19 Yes No Yes No
## 853 15 No Yes No No
## 854 19 Yes Yes Yes No
## 855 24 Yes Yes Yes No
## 856 20 Yes Yes Yes No
## 857 16 Yes Yes Yes No
## 858 24 Yes Yes Yes No
## 859 20 Yes No No No
## 860 17 No No No No
## 861 26 No No No No
## 862 22 Yes No Yes No
## 863 28 Yes Yes Yes Yes
## 864 25 No No No No
## 865 33 Yes No Yes No
## 866 14 Yes No Yes No
## 867 18 Yes No No No
## 868 25 Yes Yes Yes No
## 869 18 No No No No
## 870 24 Yes Yes Yes Yes
## 871 30 No No No No
## 872 20 No No Yes No
## 873 17 Yes No Yes No
## 874 20 No No No No
## 875 19 No No No No
## 876 16 Yes No No Yes
## 877 18 Yes No Yes No
## 878 26 No No No No
## 879 24 No No No No
## 880 21 Yes Yes No No
## 881 21 No Yes No No
## 882 21 No No Yes No
## 883 8 Yes No Yes No
## 884 11 No No No No
## 885 27 Yes No Yes Yes
## 886 16 Yes No No No
## 887 23 No Yes Yes No
## 888 18 No No No No
## 889 16 Yes No No No
## 890 23 No No No No
## 891 17 No No No No
## 892 20 No No No No
## 893 17 Yes Yes Yes No
## 894 19 Yes Yes Yes No
## 895 15 No No No No
## 896 23 Yes Yes Yes Yes
## 897 21 No No No No
## 898 14 Yes No No No
## 899 22 Yes No Yes No
## 900 17 Yes Yes Yes Yes
## 901 31 Yes No No No
## 902 16 Yes Yes Yes No
## 903 23 Yes Yes Yes Yes
## 904 21 Yes Yes Yes No
## 905 21 No No Yes No
## 906 20 No No No No
## 907 25 Yes Yes Yes No
## 908 21 Yes Yes No Yes
## 909 21 No No No No
## 910 19 No No No No
## 911 23 Yes No Yes No
## 912 24 Yes Yes Yes Yes
## 913 15 Yes No No No
## 914 27 Yes No Yes No
## 915 19 No No No No
## 916 23 Yes Yes Yes No
## 917 19 Yes Yes Yes No
## 918 17 Yes Yes Yes No
## 919 18 Yes No No No
## 920 19 Yes Yes Yes No
## 921 20 Yes Yes Yes No
## 922 22 Yes Yes Yes No
## 923 23 Yes Yes No No
## 924 28 No No No No
## 925 20 Yes Yes No No
## 926 14 Yes Yes Yes No
## 927 0 No No No No
## 928 24 Yes No Yes Yes
## 929 24 Yes Yes No No
## 930 15 No No No No
## 931 19 No No No No
## 932 23 Yes Yes Yes Yes
## 933 0 Yes Yes Yes No
## 934 20 Yes No No No
## 935 23 No Yes No No
## 936 23 No No No No
## 937 15 No No No No
## 938 12 Yes No No No
## 939 17 Yes Yes Yes No
## 940 28 Yes Yes No No
## 941 27 Yes Yes No No
## 942 24 No No Yes No
## 943 18 Yes No No No
## 944 20 Yes No No No
## 945 19 Yes No Yes No
## 946 19 Yes Yes Yes Yes
## 947 25 No No Yes No
## 948 19 Yes Yes Yes No
## 949 25 No No No No
## 950 22 Yes No Yes Yes
## 951 19 No No No No
## 952 25 No No Yes Yes
## 953 15 No No No No
## 954 15 Yes No Yes No
## 955 16 Yes No No No
## 956 31 Yes Yes No Yes
## 957 18 Yes Yes No No
## 958 21 Yes Yes No Yes
## 959 14 No No No No
## 960 26 No No No No
## 961 17 Yes No No No
## 962 15 Yes Yes Yes Yes
## 963 18 Yes No No No
## 964 25 Yes Yes No No
## 965 16 No No No No
## 966 18 No Yes Yes No
## 967 26 Yes Yes Yes No
## 968 16 No Yes Yes No
## 969 25 Yes Yes Yes No
## 970 24 No No No No
## 971 21 No No No No
## 972 19 Yes Yes Yes Yes
## 973 24 No No Yes Yes
## 974 19 Yes No No Yes
## 975 29 No Yes No No
## 976 27 Yes Yes Yes No
## 977 18 Yes Yes Yes No
## 978 21 No No No No
## 979 17 No Yes No No
## 980 21 Yes Yes Yes No
## 981 25 No No No No
## 982 19 No No No No
## 983 19 Yes Yes Yes Yes
## 984 20 Yes No No No
## 985 21 No No Yes No
## 986 19 No Yes No No
## 987 18 Yes No Yes Yes
## 988 19 Yes Yes Yes No
## 989 22 No No No No
## 990 11 Yes No Yes Yes
## 991 17 No No Yes No
## 992 21 No No No Yes
## 993 19 Yes Yes Yes Yes
## 994 17 Yes Yes No Yes
## 995 16 Yes Yes Yes No
## 996 22 Yes No Yes No
## 997 21 Yes Yes Yes Yes
## 998 12 No No No No
## 999 30 Yes Yes No Yes
## 1000 23 Yes Yes Yes No
## 1001 19 Yes Yes Yes No
## 1002 20 Yes No No No
## 1003 28 Yes No No No
## 1004 26 Yes Yes Yes No
## 1005 34 Yes Yes No No
## 1006 19 Yes Yes No No
## 1007 24 No No No No
## 1008 23 No No No No
## 1009 19 No No Yes No
## 1010 16 Yes Yes No No
## 1011 25 Yes No No No
## 1012 21 Yes Yes No No
## 1013 11 Yes Yes Yes Yes
## 1014 26 Yes No Yes No
## 1015 14 Yes No Yes No
## 1016 11 Yes Yes No No
## 1017 24 No No No No
## 1018 16 No No No No
## 1019 29 Yes Yes No No
## 1020 19 No No Yes No
## 1021 20 No No No No
## 1022 17 Yes Yes Yes No
## 1023 14 Yes Yes No No
## 1024 25 Yes Yes Yes No
## 1025 15 Yes Yes Yes Yes
## 1026 21 Yes No No No
## 1027 12 Yes Yes No Yes
## 1028 25 No No Yes No
## 1029 21 Yes Yes Yes No
## 1030 20 No No No No
## 1031 23 Yes Yes Yes Yes
## 1032 14 Yes Yes Yes No
## 1033 16 No No No No
## 1034 24 Yes No Yes No
## 1035 24 No No No No
## 1036 22 Yes Yes Yes No
## 1037 25 Yes Yes Yes No
## 1038 0 Yes No No No
## 1039 19 Yes Yes Yes Yes
## 1040 19 Yes Yes Yes No
## 1041 18 No No No Yes
## 1042 20 Yes No Yes Yes
## 1043 15 No No No No
## 1044 17 Yes No Yes No
## 1045 22 No No No No
## 1046 16 Yes Yes No No
## 1047 31 No No No No
## 1048 31 Yes Yes No No
## 1049 25 Yes Yes Yes No
## 1050 15 No No No No
## 1051 11 Yes Yes Yes No
## 1052 21 Yes No Yes No
## 1053 18 Yes Yes Yes No
## 1054 16 Yes Yes Yes No
## 1055 26 No Yes No No
## 1056 18 Yes Yes No No
## 1057 22 No No No No
## 1058 27 Yes Yes Yes No
## 1059 16 Yes Yes No No
## 1060 20 Yes No Yes No
## 1061 16 Yes Yes Yes Yes
## 1062 18 No No No No
## 1063 17 Yes Yes Yes No
## 1064 19 Yes No Yes No
## 1065 28 Yes Yes Yes Yes
## 1066 18 Yes Yes Yes Yes
## 1067 19 No Yes No No
## 1068 22 Yes No Yes No
## 1069 17 Yes Yes Yes No
## 1070 18 Yes Yes No No
## 1071 15 No No No No
## 1072 14 Yes No No No
## 1073 24 Yes Yes Yes Yes
## 1074 15 No Yes No No
## 1075 17 No No No No
## 1076 12 Yes Yes No Yes
## 1077 19 Yes Yes No No
## 1078 23 No Yes No No
## 1079 25 Yes Yes Yes Yes
## 1080 24 No No No No
## 1081 20 Yes Yes Yes Yes
## 1082 20 Yes No Yes No
## 1083 28 Yes No Yes No
## 1084 19 Yes Yes Yes No
## 1085 20 Yes Yes Yes No
## 1086 20 No No No No
## 1087 11 Yes No No Yes
## 1088 23 No No No No
## 1089 17 No Yes No No
## 1090 20 Yes No No Yes
## 1091 23 Yes No No No
## 1092 27 Yes Yes Yes Yes
## 1093 23 Yes Yes Yes Yes
## 1094 24 Yes Yes No No
## 1095 16 No No No No
## 1096 24 Yes No No No
## 1097 17 Yes Yes Yes Yes
## 1098 18 Yes Yes Yes No
## 1099 18 Yes Yes Yes Yes
## 1100 23 No No Yes No
## 1101 17 Yes No No Yes
## 1102 24 No No No No
## 1103 28 Yes Yes No No
## 1104 14 No No No Yes
## 1105 25 No No No No
## 1106 21 Yes No No No
## 1107 25 Yes Yes Yes No
## 1108 20 No No No No
## 1109 13 No No No No
## 1110 22 Yes Yes Yes No
## 1111 18 No No No No
## 1112 25 Yes Yes Yes No
## 1113 19 No No No No
## 1114 16 No No Yes No
## 1115 12 No No No No
## 1116 15 No Yes No No
## 1117 21 No Yes Yes No
## 1118 15 No No No No
## 1119 19 No Yes No No
## 1120 0 No No No No
## 1121 20 Yes Yes Yes No
## 1122 27 Yes No Yes No
## 1123 0 Yes No No No
## 1124 21 Yes No Yes No
## 1125 20 Yes Yes Yes No
## 1126 19 No Yes Yes No
## 1127 22 No No No No
## 1128 25 Yes No No No
## 1129 25 No No No No
## 1130 18 No No No No
## 1131 14 No No No No
## 1132 13 Yes Yes Yes No
## 1133 15 Yes No No No
## 1134 17 No Yes Yes No
## 1135 21 Yes No No Yes
## 1136 23 Yes Yes Yes No
## 1137 22 No No Yes No
## 1138 14 No No Yes No
## 1139 18 Yes Yes Yes Yes
## 1140 20 Yes No No No
## 1141 11 No No No No
## 1142 12 Yes No No No
## 1143 24 Yes Yes No No
## 1144 21 No No No No
## 1145 19 Yes No No No
## 1146 24 Yes No Yes Yes
## 1147 21 Yes Yes Yes No
## 1148 22 No No Yes No
## 1149 29 No No Yes No
## 1150 20 No No No No
## 1151 23 No No No No
## 1152 18 No Yes No No
## 1153 20 Yes No No No
## 1154 19 Yes Yes Yes No
## 1155 23 Yes No No No
## 1156 25 Yes Yes Yes No
## 1157 17 No No Yes No
## 1158 18 Yes Yes No No
## 1159 19 No Yes No No
## 1160 27 No Yes No No
## 1161 26 Yes Yes Yes Yes
## 1162 8 No No No No
## 1163 15 No No No No
## 1164 23 Yes Yes Yes No
## 1165 26 Yes Yes No No
## 1166 10 Yes No Yes No
## 1167 25 Yes Yes Yes No
## 1168 17 Yes Yes No No
## 1169 24 No Yes Yes No
## 1170 26 Yes No Yes No
## 1171 16 No No No No
## 1172 24 No No No No
## 1173 25 Yes No No No
## 1174 22 Yes Yes No No
## 1175 19 Yes Yes Yes No
## 1176 15 No No No No
## 1177 19 Yes No Yes No
## 1178 27 No No No No
## 1179 14 No No No No
## 1180 22 No No No No
## 1181 23 Yes Yes Yes No
## 1182 25 Yes Yes Yes Yes
## 1183 14 Yes Yes Yes Yes
## 1184 25 Yes No No Yes
## 1185 12 Yes Yes Yes Yes
## 1186 15 Yes No No No
## 1187 16 Yes Yes Yes No
## 1188 0 Yes Yes No No
## 1189 21 Yes No No No
## 1190 17 Yes Yes Yes Yes
## 1191 15 No No No No
## 1192 26 No No No No
## 1193 20 No No Yes Yes
## 1194 27 Yes Yes No No
## 1195 27 Yes Yes No No
## 1196 13 Yes Yes Yes Yes
## 1197 24 Yes Yes Yes No
## 1198 28 No No Yes No
## 1199 21 Yes No No No
## 1200 21 No No No No
## 1201 15 Yes No No No
## 1202 23 Yes No No No
## 1203 21 Yes No Yes No
## 1204 26 Yes Yes No No
## 1205 15 Yes Yes Yes No
## 1206 24 Yes No No No
## 1207 18 Yes Yes No No
## 1208 20 Yes No Yes No
## 1209 20 No Yes No Yes
## 1210 21 No No Yes No
## 1211 17 Yes Yes Yes No
## 1212 16 No No No No
## 1213 25 No No No No
## 1214 22 Yes Yes Yes Yes
## 1215 22 Yes No No No
## 1216 18 No No No No
## 1217 0 Yes Yes No No
## 1218 18 No No No No
## 1219 17 No Yes No Yes
## 1220 34 Yes Yes Yes No
## 1221 28 Yes Yes Yes No
## 1222 22 No No No No
## 1223 17 No No No No
## 1224 16 No Yes No No
## 1225 24 Yes Yes No Yes
## 1226 20 No Yes Yes No
## 1227 16 Yes Yes Yes No
## 1228 17 No No No No
## 1229 21 No Yes No No
## 1230 21 Yes Yes No No
## 1231 29 No No No No
## 1232 13 Yes Yes Yes No
## 1233 20 No No No No
## 1234 18 Yes No Yes No
## 1235 24 No No No No
## 1236 23 Yes No No No
## 1237 26 No No No No
## 1238 16 Yes No Yes No
## 1239 18 No No No No
## 1240 21 Yes No No No
## 1241 17 Yes Yes Yes Yes
## 1242 27 Yes Yes Yes No
## 1243 21 No No No No
## 1244 24 Yes No Yes Yes
## 1245 17 No Yes Yes Yes
## 1246 17 Yes Yes Yes Yes
## 1247 18 No Yes No No
## 1248 25 No No No No
## 1249 25 Yes Yes Yes No
## 1250 21 Yes Yes Yes No
## 1251 20 No Yes No No
## 1252 29 Yes No No Yes
## 1253 22 Yes Yes Yes No
## 1254 26 No No Yes No
## 1255 16 Yes No No No
## 1256 18 Yes Yes No No
## 1257 24 Yes No No No
## 1258 19 Yes Yes No No
## 1259 17 No No Yes Yes
## 1260 17 No No Yes No
## 1261 19 Yes Yes Yes No
## 1262 26 No Yes Yes No
## 1263 29 Yes Yes Yes Yes
## 1264 17 Yes Yes Yes No
## 1265 12 No No Yes No
## 1266 16 No No No No
## 1267 17 Yes Yes No No
## 1268 22 No Yes No No
## 1269 19 Yes Yes Yes No
## 1270 13 Yes Yes No No
## 1271 16 Yes Yes No No
## 1272 18 Yes No Yes No
## 1273 20 No No No No
## 1274 20 Yes Yes Yes No
## 1275 13 No No No No
## 1276 14 Yes No Yes No
## 1277 24 Yes Yes Yes Yes
## 1278 25 Yes Yes No No
## 1279 19 Yes Yes No No
## 1280 25 Yes Yes Yes Yes
## 1281 23 Yes Yes No Yes
## 1282 0 Yes Yes Yes No
## 1283 19 Yes No No No
## 1284 25 Yes Yes No Yes
## 1285 24 Yes Yes Yes No
## 1286 19 Yes No No No
## 1287 26 Yes Yes Yes No
## 1288 17 Yes No No No
## 1289 18 Yes Yes Yes Yes
## 1290 21 No No No No
## 1291 21 Yes Yes Yes No
## 1292 18 Yes No Yes No
## 1293 12 No Yes Yes No
## 1294 19 Yes No No No
## 1295 13 No No No No
## 1296 17 No Yes No No
## 1297 19 No No Yes No
## 1298 21 Yes No No No
## 1299 20 No No No No
## 1300 25 No No No No
## 1301 20 Yes Yes No No
## 1302 16 Yes Yes No No
## 1303 12 Yes Yes No No
## 1304 22 Yes Yes Yes No
## 1305 24 Yes No Yes No
## 1306 23 No No No No
## 1307 13 Yes Yes Yes No
## 1308 25 No No No No
## 1309 27 No No No No
## 1310 19 Yes Yes No No
## 1311 25 Yes Yes Yes No
## 1312 32 Yes Yes Yes No
## 1313 19 No No No No
## 1314 15 Yes Yes Yes Yes
## 1315 21 Yes No Yes No
## 1316 18 Yes Yes Yes No
## 1317 21 Yes No Yes No
## 1318 15 No No No No
## 1319 15 No Yes No No
## 1320 14 No Yes No No
## 1321 18 Yes No No No
## 1322 22 No No Yes No
## 1323 22 No No Yes No
## 1324 24 Yes No No No
## 1325 15 Yes Yes Yes No
## 1326 24 Yes No Yes No
## 1327 18 Yes Yes Yes No
## 1328 19 Yes No No No
## 1329 14 Yes Yes Yes No
## 1330 17 No No Yes No
## 1331 18 Yes Yes No Yes
## 1332 17 Yes Yes Yes No
## 1333 21 Yes Yes No No
## 1334 26 No No No No
## 1335 16 Yes Yes Yes No
## 1336 25 No No Yes No
## 1337 18 Yes Yes Yes Yes
## 1338 30 Yes Yes Yes Yes
## 1339 22 Yes Yes Yes Yes
## 1340 18 No No No No
## 1341 24 Yes No Yes No
## 1342 31 Yes Yes No No
## 1343 23 Yes No Yes No
## 1344 27 Yes Yes Yes No
## 1345 26 No No No No
## 1346 22 No No No No
## 1347 23 No No No No
## 1348 21 No No No No
## 1349 15 Yes Yes Yes No
## 1350 22 No No No No
## 1351 25 No No No No
## 1352 15 No No No No
## 1353 17 Yes Yes Yes Yes
## 1354 18 No No No No
## 1355 16 Yes Yes Yes No
## 1356 27 Yes Yes Yes No
## 1357 0 Yes No No No
## 1358 24 Yes Yes No No
## 1359 23 Yes Yes Yes No
## 1360 11 Yes Yes No Yes
## 1361 18 Yes Yes Yes No
## 1362 22 Yes Yes No No
## 1363 13 Yes Yes Yes No
## 1364 22 Yes No Yes No
## 1365 18 Yes No No No
## 1366 23 Yes Yes Yes Yes
## 1367 24 Yes Yes Yes No
## 1368 22 Yes No No No
## 1369 23 Yes Yes Yes Yes
## 1370 18 Yes Yes Yes No
## 1371 17 Yes Yes Yes No
## 1372 18 No No No No
## 1373 19 Yes No Yes No
## 1374 15 Yes Yes No Yes
## 1375 30 Yes No No No
## 1376 21 Yes Yes No Yes
## 1377 26 No Yes Yes Yes
## 1378 31 Yes Yes Yes No
## 1379 16 Yes No No No
## 1380 24 Yes No Yes Yes
## 1381 17 Yes Yes Yes No
## 1382 21 Yes Yes No No
## 1383 22 Yes Yes Yes No
## 1384 18 Yes No Yes No
## 1385 23 Yes Yes No Yes
## 1386 18 No Yes No No
## 1387 23 Yes Yes Yes Yes
## 1388 19 Yes Yes Yes No
## 1389 15 Yes No No No
## 1390 23 Yes No Yes Yes
## 1391 14 No No No No
## 1392 24 No No No No
## 1393 21 Yes Yes Yes Yes
## 1394 25 Yes No No Yes
## 1395 24 Yes No No No
## 1396 23 Yes Yes No No
## 1397 27 Yes No No No
## 1398 8 No No No No
## 1399 22 Yes No No No
## 1400 20 Yes Yes No No
## 1401 19 Yes No No No
## 1402 20 Yes No No No
## 1403 12 No No No No
## 1404 15 Yes No Yes No
## 1405 20 No No No No
## 1406 17 Yes No No Yes
## 1407 21 Yes Yes Yes No
## 1408 21 Yes Yes Yes No
## 1409 18 Yes No Yes No
## 1410 0 No No No No
## 1411 22 Yes Yes Yes Yes
## 1412 17 No No No No
## 1413 21 Yes Yes No Yes
## 1414 16 No No No No
## 1415 24 Yes Yes No Yes
## 1416 18 Yes Yes No No
## 1417 13 Yes Yes Yes Yes
## 1418 12 Yes Yes Yes Yes
## 1419 19 Yes Yes Yes No
## 1420 14 Yes No No No
## 1421 22 No No No No
## 1422 23 Yes Yes Yes No
## 1423 20 Yes No No Yes
## 1424 19 Yes No No No
## 1425 19 No No No Yes
## 1426 18 Yes No Yes No
## 1427 14 No No No No
## 1428 10 Yes No No No
## 1429 20 Yes Yes Yes No
## 1430 24 Yes Yes Yes No
## 1431 17 No No No No
## 1432 23 No No No No
## 1433 25 Yes Yes No Yes
## 1434 27 No No No No
## 1435 11 Yes No Yes Yes
## 1436 18 Yes Yes Yes Yes
## 1437 20 No No No No
## 1438 25 Yes No Yes No
## 1439 24 No No No No
## 1440 25 No Yes Yes No
## 1441 18 Yes Yes Yes No
## 1442 15 No No No No
## 1443 13 Yes Yes Yes Yes
## 1444 19 Yes No Yes No
## 1445 21 No No No No
## 1446 16 Yes Yes Yes No
## 1447 19 No Yes No No
## 1448 24 No No No No
## 1449 22 No No Yes No
## 1450 17 Yes Yes Yes No
## 1451 17 Yes Yes Yes No
## 1452 23 Yes No Yes No
## 1453 23 Yes Yes Yes No
## 1454 22 No No No No
## 1455 21 Yes Yes Yes No
## 1456 20 Yes No No No
## 1457 25 Yes Yes No No
## 1458 29 No No Yes No
## 1459 27 No Yes No No
## 1460 20 Yes Yes Yes No
## 1461 13 Yes No Yes No
## 1462 19 Yes Yes No No
## 1463 19 Yes Yes Yes No
## 1464 0 Yes No No No
## 1465 19 Yes Yes No Yes
## 1466 20 Yes No Yes No
## 1467 23 No No Yes No
## 1468 19 Yes No No No
## 1469 20 Yes No No Yes
## 1470 20 No Yes No No
## 1471 24 Yes No No No
## 1472 10 No No No No
## 1473 18 No No No No
## 1474 21 Yes No No No
## 1475 16 No No No No
## 1476 19 Yes Yes Yes No
## 1477 15 Yes Yes Yes Yes
## 1478 26 No No No No
## 1479 23 No No No No
## 1480 19 Yes Yes No No
## 1481 27 No No No No
## 1482 20 No No Yes No
## 1483 24 Yes No Yes No
## 1484 25 Yes Yes Yes No
## 1485 22 Yes Yes Yes No
## 1486 13 No Yes No No
## 1487 12 Yes Yes Yes No
## 1488 16 No Yes Yes Yes
## 1489 20 No Yes No Yes
## 1490 24 Yes Yes Yes No
## 1491 15 No No No No
## 1492 19 Yes Yes Yes No
## 1493 17 No No No No
## 1494 26 No No No No
## 1495 22 No No No No
## 1496 14 Yes No No No
## 1497 22 Yes No Yes Yes
## 1498 16 No No Yes No
## 1499 14 No Yes Yes No
## 1500 18 Yes Yes Yes No
## 1501 15 No Yes No No
## 1502 15 No No No No
## 1503 19 Yes Yes Yes No
## 1504 19 Yes No Yes No
## 1505 16 Yes Yes Yes No
## 1506 13 No No Yes No
## 1507 20 Yes No No No
## 1508 18 No Yes No No
## 1509 24 No No No No
## 1510 23 Yes Yes Yes No
## 1511 14 No No No No
## 1512 32 Yes Yes Yes No
## 1513 21 Yes No No No
## 1514 16 No No No No
## 1515 24 Yes Yes Yes Yes
## 1516 21 No No No No
## 1517 22 No No Yes No
## 1518 16 Yes Yes Yes Yes
## 1519 26 Yes Yes Yes No
## 1520 21 No Yes Yes No
## 1521 0 No No No No
## 1522 14 No Yes No No
## 1523 21 No No Yes Yes
## 1524 17 Yes Yes Yes Yes
## 1525 31 Yes Yes Yes Yes
## 1526 21 Yes No No No
## 1527 25 Yes No Yes Yes
## 1528 29 Yes Yes No Yes
## 1529 25 No No No No
## 1530 20 No No No No
## 1531 18 Yes Yes Yes No
## 1532 13 Yes No Yes No
## 1533 25 Yes Yes Yes No
## 1534 14 No No No No
## 1535 14 Yes No No No
## 1536 19 Yes Yes Yes No
## 1537 24 Yes Yes Yes No
## 1538 22 Yes Yes No No
## 1539 25 Yes Yes Yes No
## 1540 21 No No No No
## 1541 21 No Yes No No
## 1542 20 Yes Yes Yes Yes
## 1543 20 Yes Yes Yes No
## 1544 23 No No Yes No
## 1545 14 Yes Yes No Yes
## 1546 20 No No Yes No
## 1547 12 Yes Yes Yes Yes
## 1548 15 No Yes No No
## 1549 16 No No No No
## 1550 19 Yes Yes Yes Yes
## 1551 21 Yes No Yes Yes
## 1552 30 Yes Yes Yes Yes
## 1553 10 Yes No No No
## 1554 22 Yes Yes Yes Yes
## 1555 20 No Yes No No
## 1556 23 No No No No
## 1557 23 No No No No
## 1558 18 No Yes Yes No
## 1559 23 Yes Yes Yes Yes
## 1560 19 No No No Yes
## 1561 20 Yes No No No
## 1562 0 Yes Yes Yes No
## 1563 16 Yes No Yes Yes
## 1564 22 Yes Yes Yes Yes
## 1565 22 No No No Yes
## 1566 23 No No No No
## 1567 17 No No No No
## 1568 20 Yes Yes Yes No
## 1569 20 Yes No No No
## 1570 19 Yes Yes No No
## 1571 23 Yes Yes Yes No
## 1572 27 Yes Yes Yes Yes
## 1573 16 No No No No
## 1574 25 No No No No
## 1575 22 Yes Yes Yes Yes
## 1576 21 Yes Yes Yes Yes
## 1577 12 No No Yes No
## 1578 21 No No No No
## 1579 25 Yes No Yes No
## 1580 12 No No No No
## 1581 19 Yes No No Yes
## 1582 32 Yes No Yes No
## 1583 23 Yes No Yes Yes
## 1584 19 Yes Yes Yes No
## 1585 22 No No No No
## 1586 24 Yes Yes Yes No
## 1587 24 Yes Yes Yes No
## 1588 24 No No No No
## 1589 28 Yes Yes No No
## 1590 23 Yes Yes Yes Yes
## 1591 18 No No No No
## 1592 18 No Yes No No
## 1593 21 No No No No
## 1594 15 Yes Yes Yes Yes
## 1595 22 Yes No No No
## 1596 16 Yes Yes Yes Yes
## 1597 15 No No No No
## 1598 13 Yes Yes Yes No
## 1599 12 Yes Yes Yes Yes
## 1600 16 Yes No No Yes
## 1601 15 Yes Yes No No
## 1602 18 Yes Yes Yes No
## 1603 19 No Yes Yes No
## 1604 22 No Yes No No
## 1605 10 No Yes No No
## 1606 15 No No No No
## 1607 23 Yes No No No
## 1608 11 Yes Yes No No
## 1609 13 Yes Yes Yes Yes
## 1610 22 Yes No Yes No
## 1611 18 Yes No No No
## 1612 17 No No Yes No
## 1613 29 No Yes Yes No
## 1614 18 No Yes No Yes
## 1615 24 Yes Yes Yes No
## 1616 19 Yes No Yes Yes
## 1617 16 Yes No Yes No
## 1618 15 No No No Yes
## 1619 18 No No Yes No
## 1620 22 No Yes No No
## 1621 22 No No No No
## 1622 20 No No Yes No
## 1623 25 Yes No No No
## 1624 21 Yes Yes Yes No
## 1625 20 No Yes Yes No
## 1626 15 No No No No
## 1627 21 Yes Yes Yes No
## 1628 19 Yes Yes No No
## 1629 15 Yes No No No
## 1630 20 Yes No Yes No
## 1631 13 Yes Yes Yes Yes
## 1632 21 No No No No
## 1633 19 No No No No
## 1634 14 No No No No
## 1635 22 Yes No No No
## 1636 20 Yes No No No
## 1637 16 No No Yes No
## 1638 14 No No Yes No
## 1639 19 Yes Yes No No
## 1640 29 No No No No
## 1641 26 No No No No
## 1642 9 Yes Yes No No
## 1643 15 Yes No No No
## 1644 13 No No No No
## 1645 15 Yes No No Yes
## 1646 21 Yes Yes Yes Yes
## 1647 17 Yes No No No
## 1648 24 No No No No
## 1649 15 No No No Yes
## 1650 20 No No No No
## 1651 18 Yes Yes No No
## 1652 23 Yes No Yes Yes
## 1653 19 Yes Yes Yes Yes
## 1654 24 Yes Yes Yes No
## 1655 19 No No No No
## 1656 17 Yes Yes Yes No
## 1657 19 Yes No No No
## 1658 10 Yes No No No
## 1659 22 Yes No Yes Yes
## 1660 12 No No Yes No
## 1661 13 Yes No Yes No
## 1662 11 No No No No
## 1663 17 No No No No
## 1664 20 Yes Yes Yes No
## 1665 27 Yes Yes Yes No
## 1666 20 No No No No
## 1667 15 Yes No Yes No
## 1668 26 Yes Yes Yes No
## 1669 19 No Yes No Yes
## 1670 13 Yes Yes Yes Yes
## 1671 19 Yes No No No
## 1672 18 No Yes No No
## 1673 14 Yes No No No
## 1674 23 No No No No
## 1675 11 Yes No No No
## 1676 16 Yes No Yes Yes
## 1677 19 No No No No
## 1678 12 Yes No No No
## 1679 0 Yes Yes Yes No
## 1680 21 Yes Yes Yes No
## 1681 13 No No No No
## 1682 23 Yes Yes No Yes
## 1683 24 Yes Yes Yes Yes
## 1684 18 No Yes No No
## 1685 29 No No No No
## 1686 16 Yes Yes Yes No
## 1687 18 No No Yes No
## 1688 19 No Yes Yes No
## 1689 17 No No No No
## 1690 14 No Yes Yes No
## 1691 20 Yes No No No
## 1692 22 No No No No
## 1693 22 Yes Yes Yes No
## 1694 20 No No No No
## NewsSubscriber
## 1 No
## 2 Yes
## 3 Yes
## 4 Yes
## 5 No
## 6 No
## 7 No
## 8 Yes
## 9 No
## 10 No
## 11 No
## 12 No
## 13 No
## 14 Yes
## 15 Yes
## 16 Yes
## 17 No
## 18 Yes
## 19 No
## 20 No
## 21 No
## 22 No
## 23 No
## 24 Yes
## 25 No
## 26 Yes
## 27 No
## 28 No
## 29 Yes
## 30 No
## 31 Yes
## 32 Yes
## 33 No
## 34 No
## 35 No
## 36 No
## 37 Yes
## 38 Yes
## 39 No
## 40 No
## 41 Yes
## 42 Yes
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## 45 No
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## 49 No
## 50 Yes
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## 53 Yes
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## 56 No
## 57 Yes
## 58 Yes
## 59 Yes
## 60 No
## 61 Yes
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## 64 Yes
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## 66 No
## 67 Yes
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## 69 No
## 70 Yes
## 71 Yes
## 72 Yes
## 73 No
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## 75 Yes
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## 77 No
## 78 Yes
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## 82 Yes
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## 100 Yes
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## 107 Yes
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## 130 No
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## 132 Yes
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## 135 Yes
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## 138 No
## 139 No
## 140 No
## 141 No
## 142 No
## 143 Yes
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## 145 Yes
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## 147 Yes
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## 149 No
## 150 No
## 151 No
## 152 No
## 153 Yes
## 154 Yes
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## 156 Yes
## 157 Yes
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## 159 Yes
## 160 Yes
## 161 Yes
## 162 No
## 163 No
## 164 Yes
## 165 Yes
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## 167 No
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## 170 Yes
## 171 Yes
## 172 Yes
## 173 No
## 174 No
## 175 Yes
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## 178 Yes
## 179 Yes
## 180 No
## 181 Yes
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## 183 Yes
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## 185 Yes
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## 200 Yes
## 201 No
## 202 No
## 203 Yes
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## 205 Yes
## 206 Yes
## 207 No
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## 209 No
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## 211 Yes
## 212 No
## 213 Yes
## 214 Yes
## 215 No
## 216 Yes
## 217 Yes
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## 220 Yes
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## 223 Yes
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## 227 No
## 228 Yes
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## 230 Yes
## 231 Yes
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## 238 Yes
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## 241 Yes
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## 247 Yes
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## 255 Yes
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## 262 Yes
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## 277 Yes
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## 279 Yes
## 280 No
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## 283 Yes
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## 285 Yes
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## 290 No
## 291 Yes
## 292 No
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## 294 Yes
## 295 No
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## 297 No
## 298 No
## 299 No
## 300 Yes
## 301 No
## 302 Yes
## 303 No
## 304 No
## 305 No
## 306 Yes
## 307 No
## 308 Yes
## 309 Yes
## 310 No
## 311 No
## 312 No
## 313 Yes
## 314 Yes
## 315 Yes
## 316 No
## 317 Yes
## 318 Yes
## 319 No
## 320 No
## 321 No
## 322 Yes
## 323 Yes
## 324 Yes
## 325 Yes
## 326 No
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## 328 No
## 329 Yes
## 330 Yes
## 331 Yes
## 332 Yes
## 333 Yes
## 334 No
## 335 Yes
## 336 Yes
## 337 No
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## 339 Yes
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## 341 Yes
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## 344 No
## 345 Yes
## 346 Yes
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## 350 Yes
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## 352 No
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## 354 Yes
## 355 Yes
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## 357 Yes
## 358 No
## 359 No
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## 361 Yes
## 362 Yes
## 363 Yes
## 364 Yes
## 365 Yes
## 366 Yes
## 367 Yes
## 368 Yes
## 369 No
## 370 Yes
## 371 Yes
## 372 No
## 373 No
## 374 No
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## 376 Yes
## 377 No
## 378 Yes
## 379 No
## 380 No
## 381 No
## 382 Yes
## 383 Yes
## 384 No
## 385 Yes
## 386 Yes
## 387 No
## 388 No
## 389 No
## 390 Yes
## 391 Yes
## 392 No
## 393 No
## 394 No
## 395 Yes
## 396 No
## 397 No
## 398 No
## 399 Yes
## 400 No
## 401 No
## 402 Yes
## 403 No
## 404 No
## 405 Yes
## 406 No
## 407 No
## 408 Yes
## 409 Yes
## 410 Yes
## 411 No
## 412 Yes
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## 414 Yes
## 415 Yes
## 416 Yes
## 417 Yes
## 418 No
## 419 Yes
## 420 Yes
## 421 No
## 422 No
## 423 Yes
## 424 Yes
## 425 No
## 426 Yes
## 427 No
## 428 Yes
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## 430 Yes
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## 438 Yes
## 439 Yes
## 440 No
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## 446 No
## 447 Yes
## 448 Yes
## 449 No
## 450 Yes
## 451 Yes
## 452 No
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## 456 No
## 457 No
## 458 Yes
## 459 Yes
## 460 No
## 461 No
## 462 Yes
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## 467 Yes
## 468 Yes
## 469 Yes
## 470 Yes
## 471 No
## 472 Yes
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## 474 No
## 475 Yes
## 476 Yes
## 477 Yes
## 478 No
## 479 Yes
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## 483 Yes
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## 486 Yes
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## 489 Yes
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## 492 Yes
## 493 Yes
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## 495 Yes
## 496 Yes
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## 499 Yes
## 500 Yes
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## 504 Yes
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## 507 Yes
## 508 Yes
## 509 Yes
## 510 Yes
## 511 No
## 512 Yes
## 513 No
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## 515 Yes
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## 518 Yes
## 519 Yes
## 520 Yes
## 521 No
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## 526 Yes
## 527 Yes
## 528 No
## 529 No
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## 534 Yes
## 535 Yes
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## 537 No
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## 539 Yes
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## 541 Yes
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## 543 Yes
## 544 Yes
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## 547 No
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## 551 Yes
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## 553 Yes
## 554 Yes
## 555 No
## 556 Yes
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## 563 Yes
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## 572 Yes
## 573 Yes
## 574 Yes
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## 576 Yes
## 577 Yes
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## 579 No
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## 581 Yes
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## 592 Yes
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## 595 Yes
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## 597 No
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## 602 Yes
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## 605 Yes
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## 607 No
## 608 Yes
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## 610 No
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## 612 Yes
## 613 Yes
## 614 Yes
## 615 No
## 616 Yes
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## 619 Yes
## 620 Yes
## 621 No
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## 623 Yes
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## 625 Yes
## 626 Yes
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## 630 No
## 631 Yes
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## 637 Yes
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## 640 Yes
## 641 No
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## 644 Yes
## 645 No
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## 647 No
## 648 Yes
## 649 Yes
## 650 No
## 651 No
## 652 Yes
## 653 Yes
## 654 No
## 655 Yes
## 656 Yes
## 657 No
## 658 No
## 659 Yes
## 660 Yes
## 661 Yes
## 662 No
## 663 No
## 664 No
## 665 No
## 666 Yes
## 667 Yes
## 668 Yes
## 669 Yes
## 670 Yes
## 671 No
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## 675 Yes
## 676 Yes
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## 678 Yes
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## 680 No
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## 686 Yes
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## 688 No
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## 690 Yes
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## 692 Yes
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## 694 Yes
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## 698 Yes
## 699 Yes
## 700 Yes
## 701 No
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## 706 Yes
## 707 Yes
## 708 Yes
## 709 No
## 710 Yes
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## 713 No
## 714 No
## 715 Yes
## 716 Yes
## 717 No
## 718 Yes
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## 720 No
## 721 Yes
## 722 Yes
## 723 Yes
## 724 No
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## 727 No
## 728 Yes
## 729 Yes
## 730 No
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## 732 Yes
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## 736 Yes
## 737 Yes
## 738 No
## 739 Yes
## 740 Yes
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## 743 Yes
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## 745 Yes
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## 750 Yes
## 751 Yes
## 752 Yes
## 753 No
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## 756 Yes
## 757 Yes
## 758 Yes
## 759 No
## 760 Yes
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## 768 Yes
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## 788 Yes
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## 800 Yes
## 801 Yes
## 802 Yes
## 803 Yes
## 804 Yes
## 805 Yes
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## 807 No
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## 813 No
## 814 No
## 815 Yes
## 816 Yes
## 817 No
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## 820 Yes
## 821 Yes
## 822 Yes
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## 826 Yes
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## 844 Yes
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## 847 Yes
## 848 Yes
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## 851 Yes
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## 857 Yes
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## 876 Yes
## 877 Yes
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## 879 No
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## 889 Yes
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## 900 Yes
## 901 Yes
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## 911 No
## 912 Yes
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## 978 No
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## 995 No
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## 999 No
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## 1001 Yes
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## 1007 No
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## 1013 Yes
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## 1020 No
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## 1024 Yes
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## 1101 Yes
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## 1123 No
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## 1131 No
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## 1138 No
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## 1151 Yes
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## 1158 Yes
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## 1160 No
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## 1164 Yes
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## 1180 Yes
## 1181 Yes
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## 1251 Yes
## 1252 No
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## 1258 No
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## 1260 Yes
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## 1287 No
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## 1295 No
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## 1300 No
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## 1303 Yes
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## 1305 No
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## 1308 Yes
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## 1314 No
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## 1317 No
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## 1329 Yes
## 1330 No
## 1331 No
## 1332 No
## 1333 No
## 1334 Yes
## 1335 Yes
## 1336 No
## 1337 No
## 1338 Yes
## 1339 No
## 1340 No
## 1341 No
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## 1343 Yes
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## 1347 Yes
## 1348 No
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## 1350 No
## 1351 Yes
## 1352 Yes
## 1353 Yes
## 1354 No
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## 1360 Yes
## 1361 No
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## 1363 Yes
## 1364 No
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## 1368 Yes
## 1369 Yes
## 1370 No
## 1371 No
## 1372 Yes
## 1373 Yes
## 1374 No
## 1375 Yes
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## 1379 Yes
## 1380 Yes
## 1381 No
## 1382 No
## 1383 Yes
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## 1386 Yes
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## 1388 Yes
## 1389 Yes
## 1390 No
## 1391 Yes
## 1392 No
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## 1396 Yes
## 1397 Yes
## 1398 No
## 1399 No
## 1400 No
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## 1402 Yes
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## 1407 Yes
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## 1422 No
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## 1427 No
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## 1440 No
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## 1451 Yes
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## 1454 Yes
## 1455 No
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## 1457 Yes
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## 1461 Yes
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## 1465 Yes
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## 1469 No
## 1470 Yes
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## 1473 Yes
## 1474 No
## 1475 Yes
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## 1478 Yes
## 1479 No
## 1480 Yes
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## 1483 No
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## 1489 Yes
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## 1491 Yes
## 1492 No
## 1493 Yes
## 1494 Yes
## 1495 No
## 1496 Yes
## 1497 Yes
## 1498 Yes
## 1499 No
## 1500 No
## 1501 Yes
## 1502 Yes
## 1503 No
## 1504 Yes
## 1505 No
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## 1508 No
## 1509 Yes
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## 1511 Yes
## 1512 Yes
## 1513 No
## 1514 No
## 1515 Yes
## 1516 No
## 1517 Yes
## 1518 Yes
## 1519 No
## 1520 No
## 1521 No
## 1522 Yes
## 1523 No
## 1524 No
## 1525 No
## 1526 Yes
## 1527 No
## 1528 Yes
## 1529 No
## 1530 Yes
## 1531 No
## 1532 No
## 1533 No
## 1534 Yes
## 1535 Yes
## 1536 No
## 1537 Yes
## 1538 No
## 1539 No
## 1540 No
## 1541 No
## 1542 Yes
## 1543 Yes
## 1544 Yes
## 1545 No
## 1546 Yes
## 1547 Yes
## 1548 No
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## 1550 No
## 1551 Yes
## 1552 No
## 1553 Yes
## 1554 No
## 1555 No
## 1556 Yes
## 1557 No
## 1558 Yes
## 1559 Yes
## 1560 No
## 1561 Yes
## 1562 Yes
## 1563 No
## 1564 No
## 1565 No
## 1566 No
## 1567 Yes
## 1568 Yes
## 1569 Yes
## 1570 No
## 1571 Yes
## 1572 No
## 1573 No
## 1574 Yes
## 1575 No
## 1576 No
## 1577 No
## 1578 Yes
## 1579 Yes
## 1580 Yes
## 1581 No
## 1582 Yes
## 1583 No
## 1584 Yes
## 1585 No
## 1586 Yes
## 1587 No
## 1588 Yes
## 1589 Yes
## 1590 No
## 1591 Yes
## 1592 Yes
## 1593 Yes
## 1594 No
## 1595 Yes
## 1596 Yes
## 1597 Yes
## 1598 Yes
## 1599 No
## 1600 No
## 1601 No
## 1602 Yes
## 1603 Yes
## 1604 No
## 1605 Yes
## 1606 Yes
## 1607 No
## 1608 No
## 1609 No
## 1610 No
## 1611 Yes
## 1612 No
## 1613 No
## 1614 No
## 1615 No
## 1616 No
## 1617 No
## 1618 Yes
## 1619 Yes
## 1620 Yes
## 1621 No
## 1622 No
## 1623 No
## 1624 No
## 1625 No
## 1626 No
## 1627 No
## 1628 Yes
## 1629 No
## 1630 Yes
## 1631 No
## 1632 Yes
## 1633 No
## 1634 Yes
## 1635 Yes
## 1636 Yes
## 1637 Yes
## 1638 No
## 1639 No
## 1640 No
## 1641 Yes
## 1642 No
## 1643 No
## 1644 Yes
## 1645 Yes
## 1646 No
## 1647 No
## 1648 No
## 1649 No
## 1650 Yes
## 1651 No
## 1652 No
## 1653 Yes
## 1654 No
## 1655 Yes
## 1656 Yes
## 1657 No
## 1658 Yes
## 1659 Yes
## 1660 No
## 1661 Yes
## 1662 No
## 1663 Yes
## 1664 Yes
## 1665 Yes
## 1666 Yes
## 1667 Yes
## 1668 Yes
## 1669 Yes
## 1670 No
## 1671 No
## 1672 Yes
## 1673 No
## 1674 Yes
## 1675 Yes
## 1676 No
## 1677 Yes
## 1678 Yes
## 1679 No
## 1680 Yes
## 1681 No
## 1682 No
## 1683 No
## 1684 Yes
## 1685 No
## 1686 Yes
## 1687 No
## 1688 No
## 1689 Yes
## 1690 No
## 1691 Yes
## 1692 No
## 1693 No
## 1694 Yes
## [ reached 'max' / getOption("max.print") -- omitted 3306 rows ]
View(my_data)
dim(my_data)
## [1] 5000 59
str(my_data)
## 'data.frame': 5000 obs. of 59 variables:
## $ CustomerID : chr "3964-QJWTRG-NPN" "0648-AIPJSP-UVM" "5195-TLUDJE-HVO" "4459-VLPQUH-3OL" ...
## $ Region : int 1 5 3 4 2 4 2 3 2 2 ...
## $ TownSize : chr "2" "5" "4" "3" ...
## $ Gender : chr "Female" "Male" "Female" "Male" ...
## $ Age : int 20 22 67 23 26 64 52 44 66 47 ...
## $ EducationYears : int 15 17 14 16 16 17 14 16 12 11 ...
## $ JobCategory : chr "Professional" "Sales" "Sales" "Sales" ...
## $ UnionMember : chr "Yes" "No" "No" "No" ...
## $ EmploymentLength : int 0 0 16 0 1 22 10 11 15 19 ...
## $ Retired : chr "No" "No" "No" "No" ...
## $ HHIncome : int 31000 15000 35000 20000 23000 107000 77000 97000 16000 84000 ...
## $ DebtToIncomeRatio : num 11.1 18.6 9.9 5.7 1.7 5.6 1.9 14.4 2.6 4.1 ...
## $ CreditDebt : num 1.2009 1.222 0.9286 0.0228 0.2147 ...
## $ OtherDebt : num 2.24 1.568 2.536 1.117 0.176 ...
## $ LoanDefault : chr "Yes" "Yes" "No" "Yes" ...
## $ MaritalStatus : chr "Unmarried" "Unmarried" "Married" "Married" ...
## $ HouseholdSize : int 3 2 3 5 4 1 1 2 1 2 ...
## $ NumberPets : int 0 6 3 0 0 11 2 10 1 1 ...
## $ NumberCats : int 0 0 2 0 0 1 0 0 1 1 ...
## $ NumberDogs : int 0 0 1 0 0 1 2 2 0 0 ...
## $ NumberBirds : int 0 0 0 0 0 0 0 0 0 0 ...
## $ HomeOwner : int 0 1 1 1 0 1 0 1 1 1 ...
## $ CarsOwned : int 2 2 3 3 1 0 2 1 1 4 ...
## $ CarOwnership : chr "Own" "Own" "Own" "Own" ...
## $ CarBrand : chr "Domestic" "Foreign" "Foreign" "Foreign" ...
## $ CarValue : int 14300 6800 18800 8700 10600 -1000 25600 55500 8600 41000 ...
## $ CommuteTime : chr "22" "29" "24" "38" ...
## $ PoliticalPartyMem : chr "Yes" "Yes" "Yes" "No" ...
## $ Votes : chr "Yes" "No" "No" "No" ...
## $ CreditCard : chr "Mast" "Visa" "Visa" "Visa" ...
## $ CardTenure : int 2 4 35 5 8 18 3 25 26 2 ...
## $ CardItemsMonthly : int 5 5 9 17 8 11 20 6 12 11 ...
## $ CardSpendMonth : num 817 426 1842 3410 2551 ...
## $ ActiveLifestyle : chr "No" "Yes" "No" "Yes" ...
## $ PhoneCoTenure : int 5 39 65 36 21 28 15 46 53 3 ...
## $ VoiceLastMonth : num 19.5 26.7 85.2 18 9.15 ...
## $ VoiceOverTenure : chr "34.4" "330.6" "1858.35" "199.45" ...
## $ EquipmentRental : chr "Yes" "Yes" "No" "No" ...
## $ EquipmentLastMonth : num 29.5 54.9 0 0 0 ...
## $ EquipmentOverTenure: num 126 1975 0 0 0 ...
## $ CallingCard : chr "Yes" "Yes" "Yes" "Yes" ...
## $ WirelessData : chr "No" "Yes" "No" "No" ...
## $ DataLastMonth : num 0 45.6 0 0 19.1 ...
## $ DataOverTenure : num 0 1684 0 0 411 ...
## $ Multiline : chr "Yes" "Yes" "Yes" "Yes" ...
## $ VM : chr "Yes" "Yes" "No" "No" ...
## $ Pager : chr "Yes" "Yes" "No" "No" ...
## $ Internet : chr "No" "4" "No" "2" ...
## $ CallerID : chr "No" "Yes" "No" "No" ...
## $ CallWait : chr "Yes" "No" "No" "No" ...
## $ CallForward : chr "Yes" "Yes" "No" "No" ...
## $ ThreeWayCalling : chr "Yes" "No" "No" "No" ...
## $ EBilling : chr "No" "Yes" "No" "Yes" ...
## $ TVWatchingHours : int 13 18 21 26 27 21 19 13 25 21 ...
## $ OwnsPC : chr "No" "Yes" "No" "Yes" ...
## $ OwnsMobileDevice : chr "Yes" "Yes" "No" "Yes" ...
## $ OwnsGameSystem : chr "Yes" "Yes" "No" "Yes" ...
## $ OwnsFax : chr "No" "Yes" "No" "No" ...
## $ NewsSubscriber : chr "No" "Yes" "Yes" "Yes" ...
#b number of rows and colomons of my data
NROW(my_data)
## [1] 5000
ncol(my_data)
## [1] 59
#c first few rows of my data
head(my_data)
## CustomerID Region TownSize Gender Age EducationYears JobCategory
## 1 3964-QJWTRG-NPN 1 2 Female 20 15 Professional
## 2 0648-AIPJSP-UVM 5 5 Male 22 17 Sales
## 3 5195-TLUDJE-HVO 3 4 Female 67 14 Sales
## 4 4459-VLPQUH-3OL 4 3 Male 23 16 Sales
## 5 8158-SMTQFB-CNO 2 2 Male 26 16 Sales
## 6 9662-FUSYIM-1IV 4 4 Male 64 17 Service
## UnionMember EmploymentLength Retired HHIncome DebtToIncomeRatio CreditDebt
## 1 Yes 0 No 31000 11.1 1.200909
## 2 No 0 No 15000 18.6 1.222020
## 3 No 16 No 35000 9.9 0.928620
## 4 No 0 No 20000 5.7 0.022800
## 5 No 1 No 23000 1.7 0.214659
## 6 No 22 No 107000 5.6 1.060584
## OtherDebt LoanDefault MaritalStatus HouseholdSize NumberPets NumberCats
## 1 2.240091 Yes Unmarried 3 0 0
## 2 1.567980 Yes Unmarried 2 6 0
## 3 2.536380 No Married 3 3 2
## 4 1.117200 Yes Married 5 0 0
## 5 0.176341 No Married 4 0 0
## 6 4.931416 No Unmarried 1 11 1
## NumberDogs NumberBirds HomeOwner CarsOwned CarOwnership CarBrand CarValue
## 1 0 0 0 2 Own Domestic 14300
## 2 0 0 1 2 Own Foreign 6800
## 3 1 0 1 3 Own Foreign 18800
## 4 0 0 1 3 Own Foreign 8700
## 5 0 0 0 1 Lease Foreign 10600
## 6 1 0 1 0 -1 -1 -1000
## CommuteTime PoliticalPartyMem Votes CreditCard CardTenure CardItemsMonthly
## 1 22 Yes Yes Mast 2 5
## 2 29 Yes No Visa 4 5
## 3 24 Yes No Visa 35 9
## 4 38 No No Visa 5 17
## 5 32 No No Disc 8 8
## 6 23 No No Visa 18 11
## CardSpendMonth ActiveLifestyle PhoneCoTenure VoiceLastMonth VoiceOverTenure
## 1 816.6 No 5 19.50 34.4
## 2 426.0 Yes 39 26.70 330.6
## 3 1842.2 No 65 85.20 1858.35
## 4 3409.9 Yes 36 18.00 199.45
## 5 2551.0 Yes 21 9.15 74.1
## 6 2282.7 No 28 24.30 264.9
## EquipmentRental EquipmentLastMonth EquipmentOverTenure CallingCard
## 1 Yes 29.50 126.10 Yes
## 2 Yes 54.85 1975.00 Yes
## 3 No 0.00 0.00 Yes
## 4 No 0.00 0.00 Yes
## 5 No 0.00 0.00 Yes
## 6 Yes 35.50 970.95 Yes
## WirelessData DataLastMonth DataOverTenure Multiline VM Pager Internet
## 1 No 0.00 0.00 Yes Yes Yes No
## 2 Yes 45.65 1683.55 Yes Yes Yes 4
## 3 No 0.00 0.00 Yes No No No
## 4 No 0.00 0.00 Yes No No 2
## 5 Yes 19.05 410.80 No Yes No 3
## 6 No 0.00 0.00 No No Yes No
## CallerID CallWait CallForward ThreeWayCalling EBilling TVWatchingHours OwnsPC
## 1 No Yes Yes Yes No 13 No
## 2 Yes No Yes No Yes 18 Yes
## 3 No No No No No 21 No
## 4 No No No No Yes 26 Yes
## 5 Yes Yes Yes Yes No 27 Yes
## 6 Yes Yes Yes Yes No 21 No
## OwnsMobileDevice OwnsGameSystem OwnsFax NewsSubscriber
## 1 Yes Yes No No
## 2 Yes Yes Yes Yes
## 3 No No No Yes
## 4 Yes Yes No Yes
## 5 No Yes No No
## 6 No No No No
#or
head(my_data, caption = "AAA")
## CustomerID Region TownSize Gender Age EducationYears JobCategory
## 1 3964-QJWTRG-NPN 1 2 Female 20 15 Professional
## 2 0648-AIPJSP-UVM 5 5 Male 22 17 Sales
## 3 5195-TLUDJE-HVO 3 4 Female 67 14 Sales
## 4 4459-VLPQUH-3OL 4 3 Male 23 16 Sales
## 5 8158-SMTQFB-CNO 2 2 Male 26 16 Sales
## 6 9662-FUSYIM-1IV 4 4 Male 64 17 Service
## UnionMember EmploymentLength Retired HHIncome DebtToIncomeRatio CreditDebt
## 1 Yes 0 No 31000 11.1 1.200909
## 2 No 0 No 15000 18.6 1.222020
## 3 No 16 No 35000 9.9 0.928620
## 4 No 0 No 20000 5.7 0.022800
## 5 No 1 No 23000 1.7 0.214659
## 6 No 22 No 107000 5.6 1.060584
## OtherDebt LoanDefault MaritalStatus HouseholdSize NumberPets NumberCats
## 1 2.240091 Yes Unmarried 3 0 0
## 2 1.567980 Yes Unmarried 2 6 0
## 3 2.536380 No Married 3 3 2
## 4 1.117200 Yes Married 5 0 0
## 5 0.176341 No Married 4 0 0
## 6 4.931416 No Unmarried 1 11 1
## NumberDogs NumberBirds HomeOwner CarsOwned CarOwnership CarBrand CarValue
## 1 0 0 0 2 Own Domestic 14300
## 2 0 0 1 2 Own Foreign 6800
## 3 1 0 1 3 Own Foreign 18800
## 4 0 0 1 3 Own Foreign 8700
## 5 0 0 0 1 Lease Foreign 10600
## 6 1 0 1 0 -1 -1 -1000
## CommuteTime PoliticalPartyMem Votes CreditCard CardTenure CardItemsMonthly
## 1 22 Yes Yes Mast 2 5
## 2 29 Yes No Visa 4 5
## 3 24 Yes No Visa 35 9
## 4 38 No No Visa 5 17
## 5 32 No No Disc 8 8
## 6 23 No No Visa 18 11
## CardSpendMonth ActiveLifestyle PhoneCoTenure VoiceLastMonth VoiceOverTenure
## 1 816.6 No 5 19.50 34.4
## 2 426.0 Yes 39 26.70 330.6
## 3 1842.2 No 65 85.20 1858.35
## 4 3409.9 Yes 36 18.00 199.45
## 5 2551.0 Yes 21 9.15 74.1
## 6 2282.7 No 28 24.30 264.9
## EquipmentRental EquipmentLastMonth EquipmentOverTenure CallingCard
## 1 Yes 29.50 126.10 Yes
## 2 Yes 54.85 1975.00 Yes
## 3 No 0.00 0.00 Yes
## 4 No 0.00 0.00 Yes
## 5 No 0.00 0.00 Yes
## 6 Yes 35.50 970.95 Yes
## WirelessData DataLastMonth DataOverTenure Multiline VM Pager Internet
## 1 No 0.00 0.00 Yes Yes Yes No
## 2 Yes 45.65 1683.55 Yes Yes Yes 4
## 3 No 0.00 0.00 Yes No No No
## 4 No 0.00 0.00 Yes No No 2
## 5 Yes 19.05 410.80 No Yes No 3
## 6 No 0.00 0.00 No No Yes No
## CallerID CallWait CallForward ThreeWayCalling EBilling TVWatchingHours OwnsPC
## 1 No Yes Yes Yes No 13 No
## 2 Yes No Yes No Yes 18 Yes
## 3 No No No No No 21 No
## 4 No No No No Yes 26 Yes
## 5 Yes Yes Yes Yes No 27 Yes
## 6 Yes Yes Yes Yes No 21 No
## OwnsMobileDevice OwnsGameSystem OwnsFax NewsSubscriber
## 1 Yes Yes No No
## 2 Yes Yes Yes Yes
## 3 No No No Yes
## 4 Yes Yes No Yes
## 5 No Yes No No
## 6 No No No No
#c last 6 rows of my data
tail(my_data)
## CustomerID Region TownSize Gender Age EducationYears JobCategory
## 4995 1973-VJDGJA-TQ6 3 1 Female 35 15 Sales
## 4996 3675-GZFGOT-QJN 2 2 Male 68 10 Professional
## 4997 4699-LEPCCE-3UD 3 3 Male 51 14 Professional
## 4998 8485-LLUICH-CVV 4 5 Male 75 17 Professional
## 4999 9325-URAAUT-7FA 1 1 Male 47 19 Sales
## 5000 8027-EXDZBF-OGR 3 5 Female 41 10 Crafts
## UnionMember EmploymentLength Retired HHIncome DebtToIncomeRatio CreditDebt
## 4995 No 1 No 53000 11.3 3.252027
## 4996 No 24 No 196000 8.0 7.934080
## 4997 No 6 No 83000 15.0 3.336600
## 4998 No 24 No 108000 10.8 3.557520
## 4999 No 3 No 189000 10.8 5.021352
## 5000 No 20 No 77000 6.2 2.267650
## OtherDebt LoanDefault MaritalStatus HouseholdSize NumberPets NumberCats
## 4995 2.736973 Yes Unmarried 2 1 0
## 4996 7.745920 No Unmarried 1 4 4
## 4997 9.113400 Yes Unmarried 1 1 0
## 4998 8.106480 No Unmarried 1 0 0
## 4999 15.390648 Yes Married 4 0 0
## 5000 2.506350 No Married 2 9 0
## NumberDogs NumberBirds HomeOwner CarsOwned CarOwnership CarBrand CarValue
## 4995 1 0 0 1 Own Foreign 31900
## 4996 0 0 1 1 Own Domestic 64500
## 4997 0 0 1 2 Own Foreign 40000
## 4998 0 0 1 3 Own Domestic 53600
## 4999 0 0 1 2 Own Foreign 96000
## 5000 0 0 1 2 Own Domestic 49300
## CommuteTime PoliticalPartyMem Votes CreditCard CardTenure CardItemsMonthly
## 4995 24 No Yes Mast 3 16
## 4996 21 No Yes AMEX 35 11
## 4997 26 No No Mast 15 6
## 4998 32 No No AMEX 40 11
## 4999 12 Yes No Mast 22 9
## 5000 32 Yes Yes Mast 16 7
## CardSpendMonth ActiveLifestyle PhoneCoTenure VoiceLastMonth
## 4995 4308.0 Yes 7 5.55
## 4996 8721.1 No 69 102.30
## 4997 2108.1 Yes 30 31.20
## 4998 8840.8 No 72 88.20
## 4999 3813.5 No 37 23.85
## 5000 2697.2 Yes 25 24.15
## VoiceOverTenure EquipmentRental EquipmentLastMonth EquipmentOverTenure
## 4995 11.75 No 0.00 0.00
## 4996 2405.9 No 0.00 0.00
## 4997 289 No 0.00 0.00
## 4998 2109.25 No 0.00 0.00
## 4999 282.7 Yes 29.55 1032.85
## 5000 197.25 No 0.00 0.00
## CallingCard WirelessData DataLastMonth DataOverTenure Multiline VM Pager
## 4995 No No 0.0 0.00 No No No
## 4996 Yes No 0.0 0.00 No No No
## 4997 Yes Yes 27.9 757.35 No No No
## 4998 Yes No 0.0 0.00 Yes No No
## 4999 Yes No 0.0 0.00 Yes No No
## 5000 Yes No 0.0 0.00 No No No
## Internet CallerID CallWait CallForward ThreeWayCalling EBilling
## 4995 No Yes No Yes No No
## 4996 No No No No No No
## 4997 No Yes Yes Yes Yes No
## 4998 No Yes Yes Yes Yes No
## 4999 3 No No No No Yes
## 5000 No No No No No No
## TVWatchingHours OwnsPC OwnsMobileDevice OwnsGameSystem OwnsFax
## 4995 23 No No Yes No
## 4996 19 No No No No
## 4997 14 No No No No
## 4998 16 No No No No
## 4999 24 Yes Yes Yes No
## 5000 19 No No No No
## NewsSubscriber
## 4995 No
## 4996 Yes
## 4997 No
## 4998 Yes
## 4999 Yes
## 5000 No
#d summery of my data
#To Obtain the summary statistics (Min, Median, Max, Mean and Std.) for Age, EducationYears, HHIncome, and CreditDebt. We may calculate all this summary statistics separately for each variables or by calculating the standard deviation and adding to the summary statistics obtained by the command summary() and we use [-c(2, 5)] to remove the 1st and 3rd quartaile from the summary statistics result
# calculate standard deviation of Age variable
age_sd <- sd(c(my_data$Age))
# create a new variable that includes the standard deviation in the output
age_summary<- c(summary(my_data$Age), sd = age_sd)
# print the new variable
age_summary[-c(2, 5)]
## Min. Median Mean Max. sd
## 18.00000 47.00000 47.02560 79.00000 17.77034
# calculate standard deviation of Education year variable
education_sd <- sd(c(my_data$EducationYears))
# create a new variable that includes the standard deviation in the output
education_summary<- c(summary(my_data$EducationYears), sd = education_sd)
# print the new variable
education_summary[-c(2, 5)]
## Min. Median Mean Max. sd
## 6.000000 14.000000 14.543000 23.000000 3.281083
# calculate standard deviation of HHIncome variable
income_sd <- sd(c(my_data$HHIncome))
# create a new variable that includes the standard deviation in the output
income_summary<- c(summary(my_data$HHIncome), sd = income_sd)
# print the new variable
income_summary[-c(2, 5)]
## Min. Median Mean Max. sd
## 9000.00 38000.00 54759.60 1073000.00 55377.51
# calculate standard deviation of CreditDebt variable
credit_sd <- sd(my_data$CreditDebt)
# create a new variable that includes the standard deviation in the output
credit_summary<- c(summary(my_data$CreditDebt), sd = credit_sd)
# print the new variable
credit_summary[-c(2, 5)]
## Min. Median Mean Max. sd
## 0.000000 0.926437 1.857326 109.072596 3.415732
summary(my_data[, c("Age", "EducationYears", "HHIncome", "CreditDebt")])
## Age EducationYears HHIncome CreditDebt
## Min. :18.00 Min. : 6.00 Min. : 9000 Min. : 0.0000
## 1st Qu.:31.00 1st Qu.:12.00 1st Qu.: 24000 1st Qu.: 0.3855
## Median :47.00 Median :14.00 Median : 38000 Median : 0.9264
## Mean :47.03 Mean :14.54 Mean : 54760 Mean : 1.8573
## 3rd Qu.:62.00 3rd Qu.:17.00 3rd Qu.: 67000 3rd Qu.: 2.0638
## Max. :79.00 Max. :23.00 Max. :1073000 Max. :109.0726
#E Obtain the mean of HH Income by MaritalStatus
#We Use aggregate() function to find summary statistics by group.
aggregate(HHIncome~MaritalStatus, data = my_data, mean)
## MaritalStatus HHIncome
## 1 Married 55326.53
## 2 Unmarried 54235.86
#F Obtain a pivot table of Loan Default vs. Job Category. Which Job Category has the highest and lowerst loan default rate?
#We use table() function to find the pivot table
mypivot= table(my_data$LoanDefault, my_data$JobCategory)
mypivot
##
## Agriculture Crafts Labor Professional Sales Service
## No 12 181 367 568 1032 1175 494
## Yes 3 31 85 118 348 460 126
#The output will show the count of customers in each job category who defaulted on their loans (Loan_Default = Yes(1)) and those who did not (Loan_Default = No(0)).
#To find the highest and lowest loan default rate by Job Category, we will need to calculate the proportion of customers in each category who defaulted on their loans by dividing the number of defaults by the total number of customers in each category.
job_default_rate<-mypivot[2,]/table(my_data$JobCategory)
job_default_rate
##
## Agriculture Crafts Labor Professional Sales
## 0.2000000 0.1462264 0.1880531 0.1720117 0.2521739 0.2813456
## Service
## 0.2032258
#Then we can sort the rates and pick the highest and lowest.
job_default_rate[order(job_default_rate, decreasing = TRUE)]
##
## Sales Professional Service Crafts Labor
## 0.2813456 0.2521739 0.2032258 0.2000000 0.1880531 0.1720117
## Agriculture
## 0.1462264
#The highest default rate will be the first column and the lowest will be the last column
#Therefore Sales have the highest loan default rate and Agriculture have the lowest loan default rate.
#g missing valus
is.na(my_data)
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## [1615,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [1630,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [1633,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [1665,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1666,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1667,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1668,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1669,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1670,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [1691,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1692,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1693,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1694,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## UnionMember EmploymentLength Retired HHIncome DebtToIncomeRatio
## [1,] FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE
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## CreditDebt OtherDebt LoanDefault MaritalStatus HouseholdSize NumberPets
## [1,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1180,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1183,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1190,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1193,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1195,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1196,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1197,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1199,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1200,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1201,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1215,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1231,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1234,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1236,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1260,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1264,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1265,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1266,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1267,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1268,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1269,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1270,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1271,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1272,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1278,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1280,] FALSE FALSE FALSE FALSE TRUE FALSE
## [1281,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1301,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1314,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1315,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1351,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1355,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1356,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1360,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1361,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1362,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1364,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1365,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1366,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1368,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1370,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1371,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1373,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1375,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1377,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1378,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1380,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1381,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1383,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1384,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1385,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1386,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1387,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1388,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1389,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1390,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1391,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1392,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1393,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1395,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1396,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1397,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1399,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1400,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1401,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1402,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1403,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1404,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1405,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1406,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1407,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1415,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1427,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1429,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1430,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1431,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1432,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1433,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1434,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1435,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1436,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1438,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1439,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1440,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1444,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1456,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1460,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1463,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1464,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1465,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1466,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1467,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1468,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1469,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1470,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1471,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1473,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1475,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1477,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1480,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1484,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1490,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1492,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1495,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1496,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1497,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1500,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1501,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1502,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1503,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1504,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1506,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1507,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1508,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1509,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1510,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1511,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1512,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1513,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1514,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1515,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1516,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1517,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1518,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1519,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1520,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1521,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1522,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1523,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1524,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1525,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1526,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1527,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1529,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1530,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1531,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1532,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1533,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1535,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1536,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1537,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1538,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1539,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1540,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1541,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1542,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1543,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1544,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1545,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1546,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1547,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1548,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1549,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1550,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1551,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1552,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1553,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1554,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1555,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1556,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1557,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1558,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1559,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1560,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1561,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1562,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1563,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1564,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1565,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1566,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1567,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1568,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1569,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1570,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1571,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1572,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1573,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1574,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1575,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1576,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1577,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1578,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1579,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1580,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1581,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1582,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1583,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1584,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1585,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1586,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1587,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1588,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1589,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1590,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1591,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1592,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1593,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1594,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1595,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1596,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1597,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1598,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1599,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1600,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1601,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1602,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1603,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1604,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1605,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1606,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1607,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1608,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1609,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1610,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1611,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1612,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1613,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1614,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1615,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1616,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1617,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1618,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1619,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1620,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1621,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1622,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1623,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1624,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1625,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1626,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1627,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1628,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1629,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1630,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1631,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1632,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1633,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1634,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1635,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1636,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1637,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1638,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1639,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1640,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1641,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1642,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1643,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1644,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1645,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1646,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1647,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1648,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1649,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1650,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1651,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1652,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1653,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1654,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1655,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1656,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1657,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1658,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1659,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1660,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1661,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1662,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1663,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1664,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1665,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1666,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1667,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1668,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1669,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1670,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1671,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1672,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1673,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1674,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1675,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1676,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1677,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1678,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1679,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1680,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1681,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1682,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1683,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1684,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1685,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1686,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1687,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1688,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1689,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1690,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1691,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1692,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1693,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1694,] FALSE FALSE FALSE FALSE FALSE FALSE
## NumberCats NumberDogs NumberBirds HomeOwner CarsOwned CarOwnership
## [1,] FALSE FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE FALSE FALSE
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## CarBrand CarValue CommuteTime PoliticalPartyMem Votes CreditCard
## [1,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1600,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1602,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1603,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1604,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1610,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1621,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1624,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1625,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1626,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1627,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1628,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1629,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1630,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1631,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1632,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1635,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1636,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1638,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1639,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1640,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1641,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1642,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1643,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1644,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1645,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1646,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1647,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1648,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1649,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1650,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1651,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1655,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1656,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1659,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1660,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1661,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1662,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1663,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1664,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1665,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1666,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1667,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1668,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1669,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1670,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1671,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1672,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1673,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1674,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1675,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1676,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1677,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1678,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1679,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1680,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1681,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1682,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1683,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1684,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1685,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [1688,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1689,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1690,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1691,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1692,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1693,] FALSE FALSE FALSE FALSE FALSE FALSE
## [1694,] FALSE FALSE FALSE FALSE FALSE FALSE
## CardTenure CardItemsMonthly CardSpendMonth ActiveLifestyle
## [1,] FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE
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## [30,] FALSE FALSE FALSE FALSE
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## [78,] FALSE FALSE FALSE FALSE
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## [110,] FALSE FALSE FALSE FALSE
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## [127,] FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE
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## [1691,] FALSE FALSE FALSE FALSE
## [1692,] FALSE FALSE FALSE FALSE
## [1693,] FALSE FALSE FALSE FALSE
## [1694,] FALSE FALSE FALSE FALSE
## PhoneCoTenure VoiceLastMonth VoiceOverTenure EquipmentRental
## [1,] FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE
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## [90,] FALSE FALSE FALSE FALSE
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## [1614,] FALSE FALSE FALSE FALSE
## [1615,] FALSE FALSE FALSE FALSE
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## [1617,] FALSE FALSE FALSE FALSE
## [1618,] FALSE FALSE FALSE FALSE
## [1619,] FALSE FALSE FALSE FALSE
## [1620,] FALSE FALSE FALSE FALSE
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## [1624,] FALSE FALSE FALSE FALSE
## [1625,] FALSE FALSE FALSE FALSE
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## [1627,] FALSE FALSE FALSE FALSE
## [1628,] FALSE FALSE FALSE FALSE
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## [1633,] FALSE FALSE FALSE FALSE
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## [1635,] FALSE FALSE FALSE FALSE
## [1636,] FALSE FALSE FALSE FALSE
## [1637,] FALSE FALSE FALSE FALSE
## [1638,] FALSE FALSE FALSE FALSE
## [1639,] FALSE FALSE FALSE FALSE
## [1640,] FALSE FALSE FALSE FALSE
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## [1656,] FALSE FALSE FALSE FALSE
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## [1659,] FALSE FALSE FALSE FALSE
## [1660,] FALSE FALSE FALSE FALSE
## [1661,] FALSE FALSE FALSE FALSE
## [1662,] FALSE FALSE FALSE FALSE
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## [1690,] FALSE FALSE FALSE FALSE
## [1691,] FALSE FALSE FALSE FALSE
## [1692,] FALSE FALSE FALSE FALSE
## [1693,] FALSE FALSE FALSE FALSE
## [1694,] FALSE FALSE FALSE FALSE
## DataLastMonth DataOverTenure Multiline VM Pager Internet CallerID
## [1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [127,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [164,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [208,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## CallWait CallForward ThreeWayCalling EBilling TVWatchingHours OwnsPC
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## OwnsMobileDevice OwnsGameSystem OwnsFax NewsSubscriber
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## [ reached getOption("max.print") -- omitted 3306 rows ]
colSums(is.na(my_data))
## CustomerID Region TownSize Gender
## 0 0 0 0
## Age EducationYears JobCategory UnionMember
## 0 0 0 0
## EmploymentLength Retired HHIncome DebtToIncomeRatio
## 0 0 0 0
## CreditDebt OtherDebt LoanDefault MaritalStatus
## 0 0 0 0
## HouseholdSize NumberPets NumberCats NumberDogs
## 8 6 7 8
## NumberBirds HomeOwner CarsOwned CarOwnership
## 34 13 0 0
## CarBrand CarValue CommuteTime PoliticalPartyMem
## 0 0 0 0
## Votes CreditCard CardTenure CardItemsMonthly
## 0 0 0 0
## CardSpendMonth ActiveLifestyle PhoneCoTenure VoiceLastMonth
## 0 0 0 0
## VoiceOverTenure EquipmentRental EquipmentLastMonth EquipmentOverTenure
## 0 0 0 0
## CallingCard WirelessData DataLastMonth DataOverTenure
## 0 0 0 0
## Multiline VM Pager Internet
## 0 0 0 0
## CallerID CallWait CallForward ThreeWayCalling
## 0 0 0 0
## EBilling TVWatchingHours OwnsPC OwnsMobileDevice
## 0 0 0 0
## OwnsGameSystem OwnsFax NewsSubscriber
## 0 0 0
rowSums(is.na(my_data))
## [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [223] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [260] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 2 1 0
## [297] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [334] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [371] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [408] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [445] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [482] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [519] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [556] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [593] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [630] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [667] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [704] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [741] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [778] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [815] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [852] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [889] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [926] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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## [4959] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [4996] 0 0 0 0 0
print("Count of total missing values - ")
## [1] "Count of total missing values - "
sum(is.na(my_data))
## [1] 76
#There are 76 missing values in the customer datasets.
#H Plot scatter plots and comment on the relationship between variables
#The Scatter Plot for four previous variables are:
pairs(~Age + EducationYears+ HHIncome + CreditDebt, data = my_data)
plot(x = my_data$Age, y = my_data$EducationYears, main = "Scatter Plot of Age and Education Years", xlab = "Age", ylab = "Education Years")
#From the scatter plot, we can see that there seems to be no clear relationship between the variables “Age” and “EducationYears” in the data set. The points on the scatter plot are scattered across the plot, indicating a lack of correlation between the two variables. This suggests that there is no clear relationship between age and education years in the data set.
plot(x = my_data$Age, y = my_data$HHIncome, main = "Scatter Plot of Age and Household Income", xlab = "Age", ylab = "Household Income")
#From the scatter plot, we can see that there seems to be a positive relationship between the variables “Age” and “HHIncome” in the data set. The points on the scatter plot generally trend upward from left to right, indicating a positive correlation between the two variables. This suggests that as the age of the customers increases, their household income tends to also increase.
plot(x = my_data$Age, y = my_data$CreditDebt, main = "Scatter Plot of Age and Credit Debt", xlab = "Age", ylab = "Credit Debt")
#From the scatter plot, we can see that there seems to be no clear relationship between the variables “Age” and “CreditDebt” in the data set. The points on the scatter plot are scattered across the plot, indicating a lack of correlation between the two variables. This suggests that there is no clear relationship between Age and Credit Debt in the data set.
library(ggplot2)
ggplot(data=my_data , aes(x = EducationYears, y = CreditDebt)) +
geom_point() +
ggtitle("Scatterplot of Education Years vs Credit Debt")
#The plotted scatterplot of EducationYears vs CreditDebt shows a weak positive linear correlation between the two variables. As EducationYears increases, so does CreditDebt. This suggests that customers with more education tend to have more debt.
ggplot(my_data, aes(x=EducationYears, y=HHIncome)) + geom_point() + theme_bw()
#From the scatter plot between EducationYears and HHIncome, we can see that there is a positive correlation between the two variables. As EducationYears increase, HHIncome also increases, suggesting that people with higher levels of education generally have higher incomes.
ggplot(data = my_data, aes(x = HHIncome, y = CreditDebt)) +
geom_point() +
labs (x = "HouseHold Income", y = "Credit Debt")
#The scatter plot shows that as the household incomes increases, credit debts also increases. There is a direct relationship between household income and credit debt meaning that as household income increases, credit debt increases. The data points appear to form a linear trendline, which suggests a moderate linear correlation between the two variables.
#To do this question I first download a library called LearnBayes by this command install.packages(LearnBayes), hence after I call the library.```
library(LearnBayes)
studentdata
## Student Height Gender Shoes Number Dvds ToSleep WakeUp Haircut Job Drink
## 1 1 67.000 female 10.0 5 10.0 -2.5 5.50 60.00 30.0 water
## 2 2 64.000 female 20.0 7 5.0 1.5 8.00 0.00 20.0 pop
## 3 3 61.000 female 12.0 2 6.0 -1.5 7.50 48.00 0.0 milk
## 4 4 61.000 female 3.0 6 40.0 2.0 8.50 10.00 0.0 water
## 5 5 70.000 male 4.0 5 6.0 0.0 9.00 15.00 17.5 pop
## 6 6 63.000 female NA 3 5.0 1.0 8.50 25.00 0.0 water
## 7 7 61.000 female 12.0 3 53.0 1.5 7.50 35.00 20.0 water
## 8 8 64.000 female 25.0 4 20.0 0.5 7.50 25.00 0.0 pop
## 9 9 66.000 female 30.0 3 40.0 -0.5 7.00 30.00 25.0 water
## 10 10 65.000 male 10.0 7 22.0 2.5 8.50 12.00 0.0 milk
## 11 11 72.000 male 5.0 7 6.0 0.0 6.50 13.00 15.0 milk
## 12 12 63.000 female 20.0 4 60.0 -1.0 7.00 38.00 0.0 water
## 13 13 67.000 female NA 7 0.0 2.5 6.50 35.00 12.0 pop
## 14 14 63.500 female 20.0 6 3.0 -1.0 7.50 110.00 27.0 milk
## 15 15 72.000 male 5.0 NA 83.0 2.5 8.50 15.00 28.0 pop
## 16 16 65.000 female 40.0 7 50.0 -0.5 7.00 15.00 0.0 water
## 17 17 62.000 female 8.0 7 NA 0.0 8.50 40.00 0.0 water
## 18 18 66.000 male 3.0 7 20.0 2.5 8.00 13.00 0.0 pop
## 19 19 71.000 male 6.0 7 0.0 0.5 7.50 12.00 12.5 water
## 20 20 64.000 female 4.0 7 8.0 -1.5 7.50 30.00 16.0 water
## 21 21 71.000 male 9.0 7 12.0 1.5 8.00 0.00 12.0 water
## 22 22 61.000 female 20.0 5 10.0 1.5 7.50 20.00 5.0 water
## 23 23 56.000 female 164.0 8 5.0 1.0 8.00 40.00 12.5 water
## 24 24 71.000 male 11.0 3 13.0 2.0 10.00 12.00 20.0 milk
## 25 25 63.000 female 15.0 3 100.0 0.0 9.00 50.00 12.5 pop
## 26 26 65.000 female 5.0 8 10.0 -0.5 6.00 10.00 22.0 water
## 27 27 68.000 male 9.0 7 2.0 0.5 8.00 10.00 NA water
## 28 28 64.000 female 15.0 3 7.0 1.5 10.00 65.00 15.0 pop
## 29 29 59.000 female 25.0 6 10.0 0.5 8.50 25.00 0.0 water
## 30 30 61.500 female 25.0 7 52.0 1.5 8.50 87.60 0.0 water
## 31 31 70.000 male 5.0 4 15.0 3.0 11.00 15.00 10.0 water
## 32 32 64.000 female 15.0 6 45.0 1.5 7.50 10.00 18.0 water
## 33 33 63.000 female 32.0 7 15.0 2.0 9.00 42.00 11.5 pop
## 34 34 71.000 male 6.0 5 15.0 1.0 9.50 11.00 0.0 water
## 35 35 73.000 male 4.0 7 60.0 0.5 8.50 5.00 25.0 water
## 36 36 66.000 female 10.0 4 20.0 1.0 7.00 30.00 12.0 water
## 37 37 66.000 female 32.0 5 46.0 0.5 9.00 30.00 0.0 pop
## 38 38 63.000 female 30.0 6 1.0 2.0 7.25 95.00 20.0 milk
## 39 39 67.000 female 10.0 7 30.0 1.5 8.50 60.00 12.5 pop
## 40 40 76.000 female 12.0 2 20.0 -0.5 9.50 15.00 8.0 water
## 41 41 61.000 female 15.0 5 30.0 2.0 10.00 17.00 15.0 water
## 42 42 63.000 female 20.0 2 15.0 -0.5 9.50 21.00 10.0 water
## 43 43 62.000 female 60.0 3 15.0 0.5 7.50 50.00 10.0 pop
## 44 44 65.000 female 15.0 7 17.0 -1.0 9.50 25.00 0.0 milk
## 45 45 68.000 female 35.0 7 29.0 -1.0 6.50 25.00 0.0 water
## 46 46 63.000 female 30.0 5 20.0 1.0 6.00 180.00 6.0 water
## 47 47 62.000 female 30.0 4 100.0 2.5 8.00 28.00 0.0 water
## 48 48 72.000 male 2.0 1 150.0 1.0 8.50 0.00 0.0 pop
## 49 49 66.000 female 20.0 8 15.0 2.0 10.00 25.00 10.0 pop
## 50 50 62.000 female 5.0 10 10.0 -0.5 8.50 40.00 0.0 water
## 51 51 67.000 female 35.0 7 10.0 1.5 9.00 0.00 0.0 milk
## 52 52 64.500 female 14.0 7 2.0 -0.5 9.00 45.00 8.0 pop
## 53 53 66.000 female 15.0 3 10.0 2.5 9.50 17.00 15.0 pop
## 54 54 65.000 female 20.0 7 18.0 2.0 9.00 0.00 15.0 water
## 55 55 NA female 8.0 8 20.0 1.5 8.50 28.00 10.0 water
## 56 56 65.000 female 10.0 6 0.0 0.0 9.00 15.00 NA pop
## 57 57 65.000 female 20.0 9 12.0 0.5 8.50 50.00 20.0 milk
## 58 58 67.000 female 15.0 7 30.0 4.0 11.00 30.00 0.0 pop
## 59 59 64.000 female 5.0 7 30.0 0.5 9.00 15.00 12.0 pop
## 60 60 67.000 female 20.0 4 5.0 0.0 8.00 55.00 10.0 water
## 61 61 64.000 female 50.0 7 40.0 -1.0 7.00 60.00 0.0 water
## 62 62 66.000 female 10.0 2 10.0 0.5 7.50 27.00 10.0 water
## 63 63 67.000 male 3.0 3 70.0 3.0 9.00 25.00 0.0 water
## 64 64 65.000 female 20.0 6 25.0 0.0 6.00 35.00 12.5 water
## 65 65 72.000 male 7.0 7 10.0 0.5 9.00 11.00 15.0 water
## 66 66 73.000 male 4.0 1 5.0 -1.0 8.00 10.00 0.0 milk
## 67 67 71.000 male 5.0 1 25.0 1.5 7.50 11.00 15.0 pop
## 68 68 73.000 male 8.0 3 20.0 1.5 10.50 0.00 4.0 pop
## 69 69 72.000 male 8.0 3 4.0 0.0 11.00 20.00 8.0 pop
## 70 70 68.000 male 5.0 8 10.0 2.0 10.00 0.00 0.0 water
## 71 71 64.000 female 54.0 3 30.0 2.5 8.00 14.00 16.0 water
## 72 72 68.000 female 25.0 5 10.0 3.0 8.50 15.00 0.0 water
## 73 73 62.000 female 30.0 3 5.0 1.5 6.50 40.00 0.0 pop
## 74 74 66.000 male 3.0 7 25.0 -0.5 7.50 15.00 0.0 water
## 75 75 76.000 male 8.0 5 10.0 0.5 9.50 0.00 17.5 pop
## 76 76 55.000 female 20.0 2 10.0 3.0 10.50 115.00 0.0 pop
## 77 77 69.000 female 23.0 3 0.0 -1.0 9.50 0.00 NA water
## 78 78 71.000 male 9.0 4 90.0 2.5 7.50 7.00 25.0 pop
## 79 79 68.000 female 25.0 2 15.0 -0.5 10.50 30.00 16.0 pop
## 80 80 68.000 male 9.0 8 10.0 3.5 7.00 13.00 10.0 milk
## 81 81 62.000 female 70.0 4 30.0 1.5 11.00 25.00 22.5 water
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## 641 641 63.000 female 10.0 3 6.0 1.5 11.00 11.00 0.0 water
## 642 642 66.000 female 24.0 3 12.0 -1.0 8.00 30.00 20.0 water
## 643 643 57.750 female 40.0 7 10.0 0.0 6.80 10.00 17.5 water
## 644 644 66.000 female 15.0 8 15.0 0.5 10.00 7.00 15.0 pop
## 645 645 64.000 female 25.0 5 1.0 1.5 12.50 25.00 0.0 pop
## 646 646 68.000 female 20.0 7 30.0 2.0 8.50 25.00 12.5 pop
## 647 647 67.000 female 10.0 3 2.0 0.0 7.00 35.00 10.0 pop
## 648 648 68.000 female 8.0 7 3.0 -0.5 7.50 0.00 20.0 water
## 649 649 65.000 female 15.0 5 60.0 4.5 11.00 25.00 25.0 pop
## 650 650 74.000 male 4.0 2 70.0 1.5 6.50 20.00 7.0 water
## 651 651 72.000 male 7.0 7 40.0 3.5 12.50 15.00 10.0 milk
## 652 652 68.000 female 30.0 6 4.0 0.5 9.50 20.00 15.0 water
## 653 653 71.000 female 15.0 8 25.0 -1.0 9.00 0.00 0.0 water
## 654 654 66.000 female 25.0 5 1.0 -1.5 9.00 0.00 12.0 pop
## 655 655 67.000 female 10.0 7 10.0 0.0 9.50 0.00 10.0 pop
## 656 656 68.000 male 3.0 5 15.0 2.5 7.70 15.00 20.0 pop
## 657 657 69.000 male 4.0 6 20.0 3.5 11.50 0.00 NA water
View(studentdata)
##2.1 Construct a histogram of this variable using the hist command.
hist(studentdata$Dvds,main= "Movie DVDs owned by students", xlab = " DVDs", ylab = "Frequency", col = "blue")
##2.2 Summarize this variable using the summary command
summary(studentdata$Dvds)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 10.00 20.00 30.93 30.00 1000.00 16
##2.3 Use the table command to construct a frequency table
#Use the table command to construct a frequency table of the individual values of Dvds that were observed. If one constructs a barplot of these tabled values using the command barplot(table(Dvds)) one will see that particular response values are very popular. Is there any explanation for these popular values for the number of DVDs owned?
table(studentdata$Dvds)
##
## 0 1 2 2.5 3 4 5 6 7 8 9 10 11 12 13 14
## 26 10 13 1 18 9 27 14 12 12 7 78 3 20 7 4
## 15 16 17 17.5 18 20 21 22 22.5 23 24 25 27.5 28 29 30
## 46 1 3 1 4 83 3 3 1 3 2 31 3 1 1 45
## 31 33 35 36 37 40 41 42 45 46 48 50 52 53 55 60
## 1 1 12 4 1 26 1 1 5 1 2 26 1 2 1 7
## 62 65 67 70 73 75 80 83 85 90 97 100 120 122 130 137
## 1 2 1 4 1 3 4 1 1 1 1 10 2 1 2 1
## 150 152 157 175 200 250 500 900 1000
## 6 1 1 1 8 1 1 1 1
barplot(table(studentdata$Dvds), main = "barplot of tabled values", xlab = "tabled values", ylab = "frequency", col = "green")
#There are clusters at numbers rounded by 10: 10,20,30. Students don’t know exactly how many DVDs they have and are likely to approximate with these values.
##2.4 Student heights
#The variable Height contains the height (in inches) of each student in the class.
###2.4.1 Construct parallel boxplots of the heights
#Construct parallel boxplots of the heights using the Gender variable.If one assigns the boxplot output to a variable output=boxplot(Height~Gender) then output is a list that contains statistics used in constructing the boxplots. Print output to see the statistics that are stored.
boxplot(studentdata$Height ~ studentdata$Gender
, ylab = "Height (inches)", fill=studentdata$Gender)
output = boxplot(studentdata$Height ~ studentdata$Gender
, ylab = "Height (inches)")
output
## $stats
## [,1] [,2]
## [1,] 57.75 65
## [2,] 63.00 69
## [3,] 64.50 71
## [4,] 67.00 72
## [5,] 73.00 76
##
## $n
## [1] 428 219
##
## $conf
## [,1] [,2]
## [1,] 64.19451 70.6797
## [2,] 64.80549 71.3203
##
## $out
## [1] 56 76 55 56 76 54 54 84 78 77 56 63 77 79 62 62 61 79 59 61 78 62
##
## $group
## [1] 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2
##
## $names
## [1] "female" "male"
#2.4.2 On average, how much taller are male students than female students?
mean(studentdata[studentdata$Gender=="male",]$Height, na.rm = TRUE) -
mean(studentdata[studentdata$Gender=="female",]$Height, na.rm = TRUE)
## [1] 5.750657
##2.5 Sleeping times:
#The variables ToSleep and WakeUp contain, respectively, the time to bed and wake-up time for each student the previous evening. (The data are recorded as hours past midnight, so a value of -2 indicates 10 p.m.)
###2.5.1 Construct a scatterplot of ToSleep and WakeUp.
plot(studentdata$ToSleep, studentdata$WakeUp)
###2.5.2 Find a least-squares fit to these data using the lm command.
fit = lm(studentdata$WakeUp ~ studentdata$ToSleep)
###2.5.3 Place the least-squares fit on the scatterplot using the abline command.
plot(studentdata$ToSleep, studentdata$WakeUp)
abline(fit, col = "red")
###2.5.4 Use the line to predict the wake-up time
#Use the line to predict the wake-up time for a student who went to bed at midnight
fit
##
## Call:
## lm(formula = studentdata$WakeUp ~ studentdata$ToSleep)
##
## Coefficients:
## (Intercept) studentdata$ToSleep
## 7.9628 0.4247
#3 Use Forbes2000 data set and answer the following
library(HSAUR2)
## Loading required package: tools
library(tidyverse)
## ── Attaching packages
## ───────────────────────────────────────
## tidyverse 1.3.2 ──
## ✔ tibble 3.1.8 ✔ dplyr 1.0.10
## ✔ tidyr 1.2.1 ✔ stringr 1.5.0
## ✔ purrr 1.0.1 ✔ forcats 0.5.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
library(knitr)
Forbes2000
## rank name country
## 1 1 Citigroup United States
## 2 2 General Electric United States
## 3 3 American Intl Group United States
## 4 4 ExxonMobil United States
## 5 5 BP United Kingdom
## 6 6 Bank of America United States
## 7 7 HSBC Group United Kingdom
## 8 8 Toyota Motor Japan
## 9 9 Fannie Mae United States
## 10 10 Wal-Mart Stores United States
## 11 11 UBS Switzerland
## 12 12 ING Group Netherlands
## 13 13 Royal Dutch/Shell Group Netherlands/ United Kingdom
## 14 14 Berkshire Hathaway United States
## 15 15 JP Morgan Chase United States
## 16 16 IBM United States
## 17 17 Total France
## 18 18 BNP Paribas France
## 19 19 Royal Bank of Scotland United Kingdom
## 20 20 Freddie Mac United States
## 21 21 DaimlerChrysler Germany
## 22 22 Altria Group United States
## 23 23 ChevronTexaco United States
## 24 24 Pfizer United States
## 25 25 Wells Fargo United States
## 26 26 Verizon Commun United States
## 27 27 Barclays United Kingdom
## 28 28 Morgan Stanley United States
## 29 29 General Motors United States
## 30 30 Nippon Tel & Tel Japan
## 31 31 Microsoft United States
## 32 32 Nestle Switzerland
## 33 33 SBC Communications United States
## 34 34 Deutsche Bank Group Germany
## 35 35 Siemens Group Germany
## 36 36 HBOS United Kingdom
## 37 37 ENI Italy
## 38 38 ConocoPhillips United States
## 39 39 Banco Santander Central Spain
## 40 40 Merrill Lynch United States
## 41 41 Wachovia United States
## 42 42 Time Warner United States
## 43 43 Hewlett-Packard United States
## 44 44 Procter & Gamble United States
## 45 45 Samsung Electronics South Korea
## 46 46 Johnson & Johnson United States
## 47 47 Lloyds TSB Group United Kingdom
## 48 48 ABN-Amro Holding Netherlands
## 49 49 Honda Motor Japan
## 50 50 American Express United States
## 51 51 Nissan Motor Japan
## 52 52 Bank One United States
## 53 53 AXA Group France
## 54 54 Societe Generale Group France
## 55 55 PetroChina China
## 56 56 Goldman Sachs Group United States
## 57 57 BBVA-Banco Bilbao Vizcaya Spain
## 58 58 Intel United States
## 59 59 MetLife United States
## 60 60 Home Depot United States
## 61 61 Viacom United States
## 62 62 Allstate United States
## 63 63 Merck & Co United States
## 64 64 Novartis Group Switzerland
## 65 65 ENEL Italy
## 66 66 Unilever Netherlands/ United Kingdom
## 67 67 Washington Mutual United States
## 68 68 Credit Agricole France
## 69 69 Deutsche Post Germany
## 70 70 Comcast United States
## 71 71 Volkswagen Group Germany
## 72 72 Tokyo Electric Power Japan
## 73 73 Munich Re Germany
## 74 74 BMW-Bayerische Motor Germany
## 75 75 Ford Motor United States
## 76 76 Tyco International Bermuda
## 77 77 US Bancorp United States
## 78 78 Roche Group Switzerland
## 79 79 Royal Bank of Canada Canada
## 80 80 GlaxoSmithKline United Kingdom
## 81 81 China Petroleum & Chemical China
## 82 82 Sony Japan
## 83 83 Nokia Finland
## 84 84 BellSouth United States
## 85 85 Walt Disney United States
## 86 86 Natl Australia Bank Australia
## 87 87 Gazprom Russia
## 88 88 Carrefour Group France
## 89 89 Cisco Systems United States
## 90 90 FleetBoston Finl United States
## 91 91 RWE Group Germany
## 92 92 UniCredito Italiano Italy
## 93 93 BT Group United Kingdom
## 94 94 United Parcel Service United States
## 95 95 United Technologies United States
## 96 96 Fortis Netherlands
## 97 97 Dow Chemical United States
## 98 98 Aegon Insurance Group Netherlands
## 99 99 Dexia Belgium
## 100 100 Renault Group France
## 101 101 Target United States
## 102 102 Coca-Cola United States
## 103 103 Lehman Bros Holdings United States
## 104 104 PepsiCo United States
## 105 105 Prudential United Kingdom
## 106 106 Bank of Nova Scotia Canada
## 107 107 Boeing United States
## 108 108 Aventis France
## 109 109 Repsol-YPF Spain
## 110 110 News Corp Australia
## 111 111 BASF Group Germany
## 112 112 China Mobile (HK) Hong Kong/China
## 113 113 Dell United States
## 114 114 Peugeot Groupe France
## 115 115 Endesa Group Spain
## 116 116 AT&T United States
## 117 117 Statoil Group Norway
## 118 118 Bristol-Myers Squibb United States
## 119 119 AstraZeneca United Kingdom
## 120 120 Tesco United Kingdom
## 121 121 Abbott Laboratories United States
## 122 122 BHP Billiton Australia/ United Kingdom
## 123 123 Bayer Group Germany
## 124 124 Prudential Financial United States
## 125 125 MBNA United States
## 126 126 Commonwealth Bank Group Australia
## 127 127 Petrobras-Petrsleo Brasil Brazil
## 128 128 Sanpaolo IMI Italy
## 129 129 Wyeth United States
## 130 130 Canadian Imperial Bank Canada
## 131 131 Motorola United States
## 132 132 EI du Pont de Nemours United States
## 133 133 Den Danske Bank Denmark
## 134 134 Caterpillar United States
## 135 135 Honeywell United States
## 136 136 Nordea Sweden
## 137 137 Anglo American United Kingdom
## 138 138 Canon Japan
## 139 139 Travelers Property Cas United States
## 140 140 Cendant United States
## 141 141 Sun Life Financial Canada
## 142 142 Saint-Gobain France
## 143 143 East Japan Railway Japan
## 144 144 Hutchison Whampoa Hong Kong/China
## 145 145 Cardinal Health United States
## 146 146 Bank of Montreal Canada
## 147 147 Alcoa United States
## 148 148 National City United States
## 149 149 Westpac Banking Group Australia
## 150 150 Lowe`s Cos United States
## 151 151 Toronto-Dominion Bank Canada
## 152 152 Korea Electric Power South Korea
## 153 153 Moller-Maersk Denmark
## 154 154 Kookmin Bank South Korea
## 155 155 British Amer Tobacco United Kingdom
## 156 156 Mitsubishi Japan
## 157 157 Kansai Electric Power Japan
## 158 158 Almanij Belgium
## 159 159 Millea Holdings Japan
## 160 160 ANZ Banking Australia
## 161 161 Countrywide Financial United States
## 162 162 Lockheed Martin United States
## 163 163 M United States
## 164 164 Telstra Australia
## 165 165 Eli Lilly and Co United States
## 166 166 UnitedHealth Group United States
## 167 167 Pinault-Printemps-Redoute France
## 168 168 Norsk Hydro Norway
## 169 169 Northrop Grumman United States
## 170 170 Manulife Financial Canada
## 171 171 Chubu Electric Power Japan
## 172 172 Sears Roebuck United States
## 173 173 Exelon United States
## 174 174 McDonald`s United States
## 175 175 BCE Canada
## 176 176 HCA United States
## 177 177 Aflac United States
## 178 178 Southern Co United States
## 179 179 Fifth Third Bancorp United States
## 180 180 Hyundai Motor South Korea
## 181 181 Amgen United States
## 182 182 National Grid Transco United Kingdom
## 183 183 Kroger United States
## 184 184 Lukoil Holding Russia
## 185 185 SunTrust Banks United States
## 186 186 L`Oreal Group France
## 187 187 AT&T Wireless United States
## 188 188 Rio Tinto United Kingdom/ Australia
## 189 189 Iberdrola Spain
## 190 190 Capital One Financial United States
## 191 191 Dominion Resources United States
## 192 192 Union Pacific United States
## 193 193 Nextel Commun United States
## 194 194 ACE Bermuda
## 195 195 Bank of New York United States
## 196 196 Volvo Group Sweden
## 197 197 Walgreen United States
## 198 198 Aetna United States
## 199 199 UES of Russia
## 200 200 Standard Chartered Group United Kingdom
## 201 201 Anheuser-Busch Cos United States
## 202 202 China Telecom China
## 203 203 CNP Assurances France
## 204 204 Kimberly-Clark United States
## 205 205 Hitachi Japan
## 206 206 ThyssenKrupp Group Germany
## 207 207 Sprint FON United States
## 208 208 Clear Channel Commun United States
## 209 209 Denso Japan
## 210 210 John Hancock Financial United States
## 211 211 KDDI Japan
## 212 212 BB&T United States
## 213 213 Yukos Russia
## 214 214 Marathon Oil United States
## 215 215 Groupe Danone France
## 216 216 First Data United States
## 217 217 Qwest Communications United States
## 218 218 Metro AG Germany
## 219 219 Bouygues Group France
## 220 220 Emerson Electric United States
## 221 221 Allied Irish Banks Ireland
## 222 222 Principal Financial United States
## 223 223 Svenska Handelsbanken Sweden
## 224 224 Costco Wholesale United States
## 225 225 Mitsui & Co Japan
## 226 226 Takeda Chemical Inds Japan
## 227 227 Chubb United States
## 228 228 Veolia Environnement France
## 229 229 Bear Stearns Cos United States
## 230 230 Banca Intesa Italy
## 231 231 FedEx United States
## 232 232 Central Japan Railway Japan
## 233 233 Texas Instruments United States
## 234 234 Japan Tobacco Japan
## 235 235 Deere & Co United States
## 236 236 KT South Korea
## 237 237 Sara Lee United States
## 238 238 Oracle United States
## 239 239 PNC Financial Services United States
## 240 240 WellPoint Health United States
## 241 241 General Dynamics United States
## 242 242 Marsh & McLennan United States
## 243 243 Indian Oil India
## 244 244 Lafarge France
## 245 245 Centrica United Kingdom
## 246 246 Coca-Cola Enterprises United States
## 247 247 Banco Bradesco Group Brazil
## 248 248 Medtronic United States
## 249 249 J Sainsbury United Kingdom
## 250 250 Fuji Photo Film Japan
## 251 251 State Bank of India Group India
## 252 252 General Mills United States
## 253 253 State Street United States
## 254 254 Automatic Data United States
## 255 255 Waste Management United States
## 256 256 Entergy United States
## 257 257 Progressive United States
## 258 258 Pub Svc Enterprise United States
## 259 259 Carnival Corp Panama/ United Kingdom
## 260 260 Bank of Ireland Ireland
## 261 261 ConAgra Foods United States
## 262 262 KeyCorp United States
## 263 263 Monte dei Paschi Italy
## 264 264 Schlumberger Netherlands
## 265 265 Occidental Petroleum United States
## 266 266 Ito-Yokado Japan
## 267 267 Cigna United States
## 268 268 SEB-Skand Enskilda Sweden
## 269 269 FPL Group United States
## 270 270 Burlington Santa Fe United States
## 271 271 St Paul Cos United States
## 272 272 Alcan Canada
## 273 273 Oil & Natural Gas India
## 274 274 Thomson Corp Canada
## 275 275 Posco South Korea
## 276 276 Archer Daniels United States
## 277 277 Mitsui Sumitomo Ins Japan
## 278 278 Sanofi-Synthelabo France
## 279 279 McKesson United States
## 280 280 CVS United States
## 281 281 Tohoku Electric Power Japan
## 282 282 Fortum Finland
## 283 283 Raytheon United States
## 284 284 Weyerhaeuser United States
## 285 285 Kyushu Electric Power Japan
## 286 286 Akzo Nobel Group Netherlands
## 287 287 Johnson Controls United States
## 288 288 SLM United States
## 289 289 Devon Energy United States
## 290 290 Albertsons United States
## 291 291 Alltel United States
## 292 292 Illinois Tool Works United States
## 293 293 Ricoh Japan
## 294 294 Surgutneftegas Oil Russia
## 295 295 Aeon Japan
## 296 296 Gap United States
## 297 297 Gillette United States
## 298 298 Progress Energy United States
## 299 299 Anthem United States
## 300 300 CIC Group France
## 301 301 Xerox United States
## 302 302 Golden West Finl United States
## 303 303 Reliance Industries India
## 304 304 Edison International United States
## 305 305 Sysco United States
## 306 306 Gannett United States
## 307 307 Baxter International United States
## 308 308 Scottish Power United Kingdom
## 309 309 Mitsubishi Heavy Inds Japan
## 310 310 EnCana Canada
## 311 311 Bridgestone Japan
## 312 312 Cathay Financial Taiwan
## 313 313 Best Buy United States
## 314 314 Sumitomo Japan
## 315 315 Eurohypo Germany
## 316 316 Deutsche Lufthansa Germany
## 317 317 Vinci Group France
## 318 318 Singapore Telecom Singapore
## 319 319 Power Corp of Canada Canada
## 320 320 Swisscom Switzerland
## 321 321 Banco do Brasil Brazil
## 322 322 Nortel Networks Canada
## 323 323 Schneider Electric France
## 324 324 Forenings Sparbanken Sweden
## 325 325 Aire Liquide Group France
## 326 326 BOC Hong Kong Hong Kong/China
## 327 327 XL Capital Bermuda
## 328 328 Masco United States
## 329 329 Toshiba Japan
## 330 330 Aon United States
## 331 331 Cadbury Schweppes United Kingdom
## 332 332 Sharp Japan
## 333 333 Valero Energy United States
## 334 334 Consolidated Edison United States
## 335 335 Mellon Finl United States
## 336 336 UPM-Kymmene Finland
## 337 337 Colgate-Palmolive United States
## 338 338 Federated Dept Strs United States
## 339 339 Anadarko Petroleum United States
## 340 340 Schering-Plough United States
## 341 341 Compass Group United Kingdom
## 342 342 Petro-Canada Canada
## 343 343 JC Penney United States
## 344 344 Marks & Spencer United Kingdom
## 345 345 Nippon Oil Japan
## 346 346 Omnicom Group United States
## 347 347 International Paper United States
## 348 348 Old Mutual United Kingdom
## 349 349 EMC United States
## 350 350 Allianz Worldwide Germany
## 351 351 CRH Ireland
## 352 352 Kingfisher United Kingdom
## 353 353 Kellogg United States
## 354 354 Vodafone United Kingdom
## 355 355 Medco Health Solutions United States
## 356 356 NIKE United States
## 357 357 Tribune United States
## 358 358 Telenor Norway
## 359 359 Standard Bank Group South Africa
## 360 360 Chunghwa Telecom Taiwan
## 361 361 SCA-Svenska Cellulosa Sweden
## 362 362 Michelin Group France
## 363 363 Erste Bank Austria
## 364 364 Deutsche Telekom Germany
## 365 365 DBS Group Singapore
## 366 366 SAP Germany
## 367 367 GUS United Kingdom
## 368 368 Holcim Switzerland
## 369 369 Tokyo Gas Japan
## 370 370 Ingersoll-Rand Bermuda
## 371 371 AmerisourceBergen United States
## 372 372 Credit Suisse Group Switzerland
## 373 373 FirstEnergy United States
## 374 374 France Telecom France
## 375 375 Cemex Mexico
## 376 376 May Dept Stores United States
## 377 377 Firstrand South Africa
## 378 378 Accenture Bermuda
## 379 379 Banco Popular Espaqol Spain
## 380 380 George Weston Canada
## 381 381 Sberbank of Russia Russia
## 382 382 Generali Group Italy
## 383 383 China Unicom Hong Kong/China
## 384 384 JFE Holdings Japan
## 385 385 Christian Dior France
## 386 386 Henkel Group Germany
## 387 387 Lincoln National United States
## 388 388 Kyocera Japan
## 389 389 Shin-Etsu Chemical Japan
## 390 390 Woori Finance Holdings South Korea
## 391 391 Mitsubishi Estate Japan
## 392 392 Georgia-Pacific United States
## 393 393 Centex United States
## 394 394 Areva Group France
## 395 395 TPG Netherlands
## 396 396 Sumitomo Mitsui Financial Japan
## 397 397 E.ON Germany
## 398 398 Mitsubishi Tokyo Finl Japan
## 399 399 West Japan Railway Japan
## 400 400 Taiwan Semiconductor Taiwan
## 401 401 Alliance & Leicester United Kingdom
## 402 402 Aviva United Kingdom
## 403 403 Mizuho Financial Japan
## 404 404 Computer Sciences United States
## 405 405 Zurich Financial Services Switzerland
## 406 406 Diageo United Kingdom
## 407 407 HJ Heinz United States
## 408 408 SouthTrust United States
## 409 409 Telefsnica Spain
## 410 410 Stora Enso Finland
## 411 411 Imperial Tobacco Group United Kingdom
## 412 412 Telecom Italia Italy
## 413 413 Kohl`s United States
## 414 414 Degussa Germany
## 415 415 Matsushita Electric Indl Japan
## 416 416 Comerica United States
## 417 417 Sasol South Africa
## 418 418 Interbrew Belgium
## 419 419 Amerada Hess United States
## 420 420 Regions Financial United States
## 421 421 Sempra Energy United States
## 422 422 TDC Group Denmark
## 423 423 Itochu Japan
## 424 424 Norfolk Southern United States
## 425 425 STMicroelectronics Switzerland
## 426 426 PPL United States
## 427 427 Suez Group France
## 428 428 Constellation Energy United States
## 429 429 Sun Hung Kai Properties China
## 430 430 Unocal United States
## 431 431 HVB-HypoVereinsbank Germany
## 432 432 Magna International Canada
## 433 433 Qualcomm United States
## 434 434 Electrolux Group Sweden
## 435 435 Vivendi Universal France
## 436 436 CIT Group United States
## 437 437 DTE Energy United States
## 438 438 Swiss Re Group Switzerland
## 439 439 United Overseas Bank Singapore
## 440 440 Chugoku Electric Power Japan
## 441 441 Apache United States
## 442 442 Portugal Telecom Portugal
## 443 443 Eastman Kodak United States
## 444 444 UFJ Holdings Japan
## 445 445 M&T Bank United States
## 446 446 Northern Rock United Kingdom
## 447 447 Wolseley United Kingdom
## 448 448 Paccar United States
## 449 449 EDP-Elec de Portugal Portugal
## 450 450 Mitsui Fudosan Japan
## 451 451 Depfa Bank Ireland
## 452 452 Suzuki Motor Japan
## 453 453 Charles Schwab United States
## 454 454 Itazsa Brazil
## 455 455 BG Group United Kingdom
## 456 456 Staples United States
## 457 457 Pepsi Bottling Group United States
## 458 458 SABMiller United Kingdom
## 459 459 Accor France
## 460 460 Philips Group Netherlands
## 461 461 PTT Public Company Thailand
## 462 462 ABB Group Switzerland
## 463 463 Gas Natural SDG Spain
## 464 464 Dai Nippon Printing Japan
## 465 465 Burlington Resources United States
## 466 466 Hartford Finl Service United States
## 467 467 Marriott Intl United States
## 468 468 TransCanada Canada
## 469 469 InterActiveCorp United States
## 470 470 Legal & General Group United Kingdom
## 471 471 Safeco United States
## 472 472 Tyson Foods United States
## 473 473 Altadis Spain
## 474 474 PPG Industries United States
## 475 475 Shinhan Financial South Korea
## 476 476 AmSouth Bancorp United States
## 477 477 Equity Office Prop United States
## 478 478 Sibneft Russia
## 479 479 Limited Brands United States
## 480 480 Solvay Group Belgium
## 481 481 Takefuji Japan
## 482 482 EADS Netherlands
## 483 483 BCP-Bco Com Portugujs Portugal
## 484 484 Kirin Brewery Japan
## 485 485 Singapore Airlines Singapore
## 486 486 Textron United States
## 487 487 Marubeni Japan
## 488 488 Duke Energy United States
## 489 489 Eletrobras Brazil
## 490 490 Acom Japan
## 491 491 Nomura Holdings Japan
## 492 492 Mitsubishi Motors Japan
## 493 493 Nationwide Financial United States
## 494 494 Abbey National United Kingdom
## 495 495 Scottish & Southern United Kingdom
## 496 496 Jefferson-Pilot United States
## 497 497 Vale do Rio Doce Brazil
## 498 498 Husky Energy Canada
## 499 499 Orix Japan
## 500 500 Commerzbank Germany
## 501 501 Air Prods & Chems United States
## 502 502 Southwest Airlines United States
## 503 503 Charter One Finl United States
## 504 504 Aiful Japan
## 505 505 BPVN Group Italy
## 506 506 Praxair United States
## 507 507 Campbell Soup United States
## 508 508 National Bank of Canada Canada
## 509 509 Carso Global Telecom Mexico
## 510 510 Suncor Energy Canada
## 511 511 Hannover Re Germany
## 512 512 DR Horton United States
## 513 513 Reckitt Benckiser United Kingdom
## 514 514 TJX Cos United States
## 515 515 Malayan Banking Malaysia
## 516 516 Assoc British Foods United Kingdom
## 517 517 St George Bank Australia
## 518 518 Porsche Germany
## 519 519 Ameren United States
## 520 520 Marshall & Ilsley United States
## 521 521 Yum Brands United States
## 522 522 ABSA Group South Africa
## 523 523 Finmeccanica Italy
## 524 524 Fujitsu Japan
## 525 525 Eaton United States
## 526 526 Fortune Brands United States
## 527 527 Cheung Kong Hong Kong/China
## 528 528 Toppan Printing Japan
## 529 529 Ahold Netherlands
## 530 530 Unisn Fenosa Spain
## 531 531 Danaher United States
## 532 532 Nintendo Japan
## 533 533 Cepsa Spain
## 534 534 Kao Japan
## 535 535 Loews United States
## 536 536 Newmont Mining United States
## 537 537 Sekisui House Japan
## 538 538 NEC Japan
## 539 539 AutoNation United States
## 540 540 Adecco Switzerland
## 541 541 Northern Trust United States
## 542 542 Brascan Canada
## 543 543 Heineken Holding Netherlands
## 544 544 Mitsubishi Chemical Japan
## 545 545 LM Ericsson Sweden
## 546 546 DnB Holding Norway
## 547 547 Boots United Kingdom
## 548 548 Richemont Switzerland
## 549 549 Pulte Homes United States
## 550 550 Lennar United States
## 551 551 Nippon Steel Japan
## 552 552 Fiat Group Italy
## 553 553 EnBW-Energie Baden Germany
## 554 554 Fubon Financial Taiwan
## 555 555 KeySpan United States
## 556 556 CSX United States
## 557 557 Fidelity National Finl United States
## 558 558 Novo-Nordisk Denmark
## 559 559 Natexis Banques Populaire France
## 560 560 Linde Germany
## 561 561 Alcatel France
## 562 562 Sumitomo Chemical Japan
## 563 563 Resona Holdings Japan
## 564 564 BAA United Kingdom
## 565 565 Bunge Bermuda
## 566 566 Turkiye Is Bankasi Turkey
## 567 567 Canadian National Canada
## 568 568 American Electric United States
## 569 569 Pitney Bowes United States
## 570 570 Daiei Japan
## 571 571 Aisin Seiki Japan
## 572 572 Vattenfall Europe Germany
## 573 573 CNOOC Hong Kong/China
## 574 574 Nan Ya Plastic Taiwan
## 575 575 Cinergy United States
## 576 576 McGraw-Hill Cos United States
## 577 577 Royal KPN Netherlands
## 578 578 National Bank of Greece Greece
## 579 579 Rohm and Haas United States
## 580 580 Coles Myer Australia
## 581 581 BOC Group United Kingdom
## 582 582 Promise Japan
## 583 583 WPP United Kingdom
## 584 584 Schering Group Germany
## 585 585 Harley-Davidson United States
## 586 586 Mitsubishi Electric Japan
## 587 587 Norilsk Nickel Russia
## 588 588 Toyota Industries Japan
## 589 589 Formosa Petrochemical Taiwan
## 590 590 Lear United States
## 591 591 Tenaga Nasional Malaysia
## 592 592 CLP Holdings China
## 593 593 Syngenta Switzerland
## 594 594 Woolworths Australia
## 595 595 Arcelor Luxembourg
## 596 596 Delhaize Group Belgium
## 597 597 China Life Insurance China
## 598 598 Banche Popolari Unite Italy
## 599 599 Whirlpool United States
## 600 600 Yamanouchi Pharm Japan
## 601 601 H & M Hennes & Mauritz Sweden
## 602 602 Assurant United States
## 603 603 American Standard United States
## 604 604 Allied Domecq United Kingdom
## 605 605 Safeway Plc United Kingdom
## 606 606 Grupo Ferrovial Spain
## 607 607 Osaka Gas Japan
## 608 608 Banca Antonveneta Italy
## 609 609 Williams Cos United States
## 610 610 Becton Dickinson United States
## 611 611 Popular United States
## 612 612 Atlas Copco Sweden
## 613 613 Baoshan Iron & Steel China
## 614 614 Sovereign Bancorp United States
## 615 615 Thales France
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## 1304 1304 Tupras-Turkiye Petrol Turkey
## 1305 1305 LG Corp South Korea
## 1306 1306 Essilor International France
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## 1308 1308 AU Optronics Taiwan
## 1309 1309 Brunswick United States
## 1310 1310 Smith International United States
## 1311 1311 ITC India
## 1312 1312 Dogan Holding Turkey
## 1313 1313 Scor France
## 1314 1314 Acer Taiwan
## 1315 1315 Level 3 Commun United States
## 1316 1316 Barratt Developments United Kingdom
## 1317 1317 Universal Health United States
## 1318 1318 Brisa Portugal
## 1319 1319 Helvetia Patria Switzerland
## 1320 1320 Infosys Technologies India
## 1321 1321 Boise Cascade United States
## 1322 1322 KKPC-Korea Kumho South Korea
## 1323 1323 Brinker International United States
## 1324 1324 Thai Airways Intl Thailand
## 1325 1325 Banca Popolare di Lodi Italy
## 1326 1326 Kelda Group United Kingdom
## 1327 1327 Avalonbay Communities United States
## 1328 1328 Webster Financial United States
## 1329 1329 AmerUs Group United States
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## 1331 1331 China Resources Ent Hong Kong/China
## 1332 1332 IKON Office Solutions United States
## 1333 1333 Alps Electric Japan
## 1334 1334 Imerys France
## 1335 1335 Nikon Japan
## 1336 1336 Smithfield Foods United States
## 1337 1337 Funai Electric Japan
## 1338 1338 RR Donnelley & Sons United States
## 1339 1339 T Rowe Price United States
## 1340 1340 Sky Financial Group United States
## 1341 1341 Daiichi Pharmaceutical Japan
## 1342 1342 Franz Colruyt Belgium
## 1343 1343 Wipro India
## 1344 1344 Bank of India India
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## 1346 1346 Premcor United States
## 1347 1347 Arrow Electronics United States
## 1348 1348 Mitchells & Butlers United Kingdom
## 1349 1349 Aareal Bank Germany
## 1350 1350 Sonae SGPS Portugal
## 1351 1351 Diamond Lease Japan
## 1352 1352 Enterprise Inns United Kingdom
## 1353 1353 Coca-Cola Amatil Australia
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## 1355 1355 Check Point Israel
## 1356 1356 Hillenbrand Inds United States
## 1357 1357 KLM Netherlands
## 1358 1358 Bank of Baroda India
## 1359 1359 Hachijuni Bank Japan
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## 1362 1362 Adolph Coors United States
## 1363 1363 Hasbro United States
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## 1365 1365 Clariant Switzerland
## 1366 1366 Dollar Tree Stores United States
## 1367 1367 Banca Carige Italy
## 1368 1368 BOK Financial United States
## 1369 1369 Slough Estates United Kingdom
## 1370 1370 Industrivarden Sweden
## 1371 1371 Celanese Germany
## 1372 1372 Hagemeyer Netherlands
## 1373 1373 Banque Nat de Belgique Belgium
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## 1375 1375 KLA-Tencor United States
## 1376 1376 Oneok United States
## 1377 1377 Espirito Santo Finl Luxembourg
## 1378 1378 Groupe Bruxelles Lambert Belgium
## 1379 1379 Vendex KBB Netherlands
## 1380 1380 HDFC-Housing Devel India
## 1381 1381 Citizens Commun United States
## 1382 1382 Lyondell Chemical United States
## 1383 1383 Nippon Meat Packers Japan
## 1384 1384 Altera United States
## 1385 1385 Barnes & Noble United States
## 1386 1386 SAS Group Sweden
## 1387 1387 Joyo Bank Japan
## 1388 1388 Colonial BancGroup United States
## 1389 1389 Rhodia France
## 1390 1390 McCormick & Co United States
## 1391 1391 Nippon Shinpan Japan
## 1392 1392 Maxis Communications Malaysia
## 1393 1393 Steel Authority of India India
## 1394 1394 Valley Natl Bancorp United States
## 1395 1395 Fuji Electric Japan
## 1396 1396 Thermo Electron United States
## 1397 1397 Crown Holdings United States
## 1398 1398 Rank Group United Kingdom
## 1399 1399 Whole Foods Market United States
## 1400 1400 PeopleSoft United States
## 1401 1401 Hiroshima Bank Japan
## 1402 1402 Hanwha Chemical South Korea
## 1403 1403 Bank of Fukuoka Japan
## 1404 1404 Technip France
## 1405 1405 CarMax United States
## 1406 1406 Energizer Holdings United States
## 1407 1407 Dillard`s United States
## 1408 1408 Wiener Stadtische Austria
## 1409 1409 Kumho Industrial South Korea
## 1410 1410 Pakistan Telecom Pakistan
## 1411 1411 Tech Data United States
## 1412 1412 Annaly Mortgage Mgmt United States
## 1413 1413 Kawasaki Kisen Kaisha Japan
## 1414 1414 KT&G South Korea
## 1415 1415 Ryanair Holdings Ireland
## 1416 1416 Alitalia Group Italy
## 1417 1417 Kuraya Sanseido Japan
## 1418 1418 Brother Inds Japan
## 1419 1419 MedImmune United States
## 1420 1420 ITV United Kingdom
## 1421 1421 New Century Financial United States
## 1422 1422 Chang Hwa Com Bank Taiwan
## 1423 1423 Amdocs United Kingdom
## 1424 1424 Amvescap United Kingdom
## 1425 1425 US Airways Group United States
## 1426 1426 Orient Japan
## 1427 1427 Amadeus Global Travel Spain
## 1428 1428 Schindler Holding Switzerland
## 1429 1429 Placer Dome Canada
## 1430 1430 Westfield Holdings Australia
## 1431 1431 Watson Pharma United States
## 1432 1432 Shoppers Drug Mart Canada
## 1433 1433 International Power United Kingdom
## 1434 1434 Tiffany United States
## 1435 1435 Signet Group United Kingdom
## 1436 1436 Sacyr-Vallehermoso Spain
## 1437 1437 Cattolica Assicurazioni Italy
## 1438 1438 Daily Mail & General United Kingdom
## 1439 1439 SMC Japan
## 1440 1440 Coca-Cola Femsa Mexico
## 1441 1441 TECO Energy United States
## 1442 1442 Peninsular & Oriental United Kingdom
## 1443 1443 Seiyu Japan
## 1444 1444 Cesky Telecom Czech Republic
## 1445 1445 Imperial Holdings South Africa
## 1446 1446 Circuit City Stores United States
## 1447 1447 Benq Taiwan
## 1448 1448 Ono Pharmaceutical Japan
## 1449 1449 Hyundai Merchant Marine South Korea
## 1450 1450 Federal-Mogul United States
## 1451 1451 Severstal Russia
## 1452 1452 Gudang Garam Indonesia
## 1453 1453 PepsiAmericas United States
## 1454 1454 Hovnanian Enterprises United States
## 1455 1455 Markel United States
## 1456 1456 New World Development Hong Kong/China
## 1457 1457 IndyMac Bancorp United States
## 1458 1458 Phoenix Cos United States
## 1459 1459 Credit Saison Japan
## 1460 1460 Barloworld South Africa
## 1461 1461 Nippon Electric Glass Japan
## 1462 1462 Michaels Stores United States
## 1463 1463 SEM-Samsung Electro South Korea
## 1464 1464 First BanCorp United States
## 1465 1465 StanCorp Financial United States
## 1466 1466 Buhrmann Netherlands
## 1467 1467 US Commercial Mexico
## 1468 1468 Oki Electric Industry Japan
## 1469 1469 Kerry Group Ireland
## 1470 1470 Chesapeake Energy United States
## 1471 1471 Alberto-Culver United States
## 1472 1472 Hammerson United Kingdom
## 1473 1473 FirstMerit United States
## 1474 1474 Credito Emiliano Italy
## 1475 1475 Applera-Applied Biosys United States
## 1476 1476 Genzyme-General United States
## 1477 1477 Nurnberger Beteiligungs Germany
## 1478 1478 Outback Steakhouse United States
## 1479 1479 Westcorp United States
## 1480 1480 CH Robinson Worldwide United States
## 1481 1481 Grupo Mexico Mexico
## 1482 1482 BCV Group Switzerland
## 1483 1483 SGS Switzerland
## 1484 1484 LG International South Korea
## 1485 1485 PCCW Hong Kong/China
## 1486 1486 Bank of Hawaii United States
## 1487 1487 Daewoo Ship & Marine South Korea
## 1488 1488 Garmin Cayman Islands
## 1489 1489 Investec United Kingdom/ South Africa
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## 1491 1491 Fulton Financial United States
## 1492 1492 Givaudan Switzerland
## 1493 1493 Noble Corp Cayman Islands
## 1494 1494 Acerinox Spain
## 1495 1495 Beckman Coulter United States
## 1496 1496 H Lundbeck Denmark
## 1497 1497 Eurotunnel France/ United Kingdom
## 1498 1498 Saks United States
## 1499 1499 Uniqa Austria
## 1500 1500 Williams-Sonoma United States
## 1501 1501 Ryland Group United States
## 1502 1502 Singapore Press Singapore
## 1503 1503 Nok Japan
## 1504 1504 Owens Corning United States
## 1505 1505 Inchcape United Kingdom
## 1506 1506 Jacobs Engineering United States
## 1507 1507 Domtar Canada
## 1508 1508 Cummins United States
## 1509 1509 Toyoda Gosei Japan
## 1510 1510 American Axle & Mfg United States
## 1511 1511 American Natl Ins United States
## 1512 1512 Gunma Bank Japan
## 1513 1513 William Hill Org United Kingdom
## 1514 1514 Wilmington Trust United States
## 1515 1515 Scientific-Atlanta United States
## 1516 1516 Henry Schein United States
## 1517 1517 Network Appliance United States
## 1518 1518 Expeditors Intl United States
## 1519 1519 Amer Power Conversion United States
## 1520 1520 Kawasho Japan
## 1521 1521 Ispat International Netherlands
## 1522 1522 Barr Pharmaceuticals United States
## 1523 1523 Polo Ralph Lauren United States
## 1524 1524 CR Bard United States
## 1525 1525 Synopsys United States
## 1526 1526 Sage Group United Kingdom
## 1527 1527 Holmen Sweden
## 1528 1528 BorgWarner United States
## 1529 1529 Mandalay Resort Group United States
## 1530 1530 Tata Iron & Steel India
## 1531 1531 Chugoku Bank Japan
## 1532 1532 Atos Origin France
## 1533 1533 Randstad Holding Netherlands
## 1534 1534 LandAmerica Financial United States
## 1535 1535 Pilkington United Kingdom
## 1536 1536 Louisiana-Pacific United States
## 1537 1537 Harman International United States
## 1538 1538 Iscor South Africa
## 1539 1539 Sapporo Hokuyo Japan
## 1540 1540 Waters United States
## 1541 1541 Neiman Marcus Group United States
## 1542 1542 Empire Canada
## 1543 1543 Varian Medical Systems United States
## 1544 1544 MONY Group United States
## 1545 1545 Pusan Bank South Korea
## 1546 1546 Tokyu Land Japan
## 1547 1547 Independence Community United States
## 1548 1548 Legend Group China
## 1549 1549 Boral Australia
## 1550 1550 Sigma-Aldrich United States
## 1551 1551 Ssangyong Motor South Korea
## 1552 1552 Vedior Netherlands
## 1553 1553 UTStarcom United States
## 1554 1554 Storebrand Norway
## 1555 1555 Indl Dev Bank of India India
## 1556 1556 Potash of Saskatchewan Canada
## 1557 1557 Finansbank Turkey
## 1558 1558 Hokugin Financial Group Japan
## 1559 1559 Agricultural Bank Greece Greece
## 1560 1560 SNCF Participations France
## 1561 1561 Microchip Technology United States
## 1562 1562 Aracruz Celulose Brazil
## 1563 1563 Bank Japan
## 1564 1564 Manor Care United States
## 1565 1565 AG Edwards United States
## 1566 1566 Puma Germany
## 1567 1567 voestalpine Austria
## 1568 1568 M6-Metropole Television France
## 1569 1569 Daegu Bank South Korea
## 1570 1570 NCC Group Sweden
## 1571 1571 Cimpor-Cimentos Portugal Portugal
## 1572 1572 Maytag United States
## 1573 1573 USG United States
## 1574 1574 Hays United Kingdom
## 1575 1575 TransAlta Canada
## 1576 1576 Financiere de l`Odet France
## 1577 1577 Esprit Holdings Hong Kong/China
## 1578 1578 Arch Capital Group Bermuda
## 1579 1579 AMB Property United States
## 1580 1580 OGE Energy United States
## 1581 1581 Keihin Electric Express Japan
## 1582 1582 Johnson Electric Holdings Hong Kong/China
## 1583 1583 Beijing Datang Power China
## 1584 1584 Iyo Bank Japan
## 1585 1585 W Holding United States
## 1586 1586 Air Canada Canada
## 1587 1587 Bank of Kyoto Japan
## 1588 1588 Impac Mortgage Holding United States
## 1589 1589 Lite-On Technology Taiwan
## 1590 1590 BancorpSouth United States
## 1591 1591 Yamaguchi Bank Japan
## 1592 1592 Mitsukoshi Japan
## 1593 1593 Fuji Fire & Marine Japan
## 1594 1594 Nissay Dowa General Ins Japan
## 1595 1595 Singapore Technologies Singapore
## 1596 1596 Developers Diversified Realty United States
## 1597 1597 Provident Finl Group United States
## 1598 1598 BJ`s Wholesale Club United States
## 1599 1599 Cullen/Frost Bankers United States
## 1600 1600 Hyundai South Korea
## 1601 1601 Kanematsu Japan
## 1602 1602 Advance Auto Parts United States
## 1603 1603 Perodua Malaysia
## 1604 1604 Nanto Bank Japan
## 1605 1605 Reebok International United States
## 1606 1606 Bilfinger & Berger Germany
## 1607 1607 Investors Financial United States
## 1608 1608 Daishi Bank Japan
## 1609 1609 Danisco Denmark
## 1610 1610 Japan Securities Fin Japan
## 1611 1611 UBE Industries Japan
## 1612 1612 Kimberly-Clark de Mexico Mexico
## 1613 1613 Petsmart United States
## 1614 1614 WPS Resources United States
## 1615 1615 Dun & Bradstreet United States
## 1616 1616 Pogo Producing United States
## 1617 1617 Fremont General United States
## 1618 1618 Juroku Bank Japan
## 1619 1619 Nishi-Nippon Bank Japan
## 1620 1620 Tiger Brands South Africa
## 1621 1621 Ranbaxy Laboratories India
## 1622 1622 Nishimatsu Construction Japan
## 1623 1623 Petronas Gas Malaysia
## 1624 1624 Enagas Spain
## 1625 1625 MDU Resources United States
## 1626 1626 Shiga Bank Japan
## 1627 1627 Shenzhen Development Bk China
## 1628 1628 Canary Wharf Group United Kingdom
## 1629 1629 Doosan South Korea
## 1630 1630 Lincare Holdings United States
## 1631 1631 Commercial Bank of Greece Greece
## 1632 1632 Terumo Japan
## 1633 1633 Hyakugo Bank Japan
## 1634 1634 Beazer Homes USA United States
## 1635 1635 ASML Holding Netherlands
## 1636 1636 San-In Godo Bank Japan
## 1637 1637 Metso Finland
## 1638 1638 CapitaLand Singapore
## 1639 1639 Molex United States
## 1640 1640 Hyakujushi Bank Japan
## 1641 1641 Federated Investors United States
## 1642 1642 Union Bank of India India
## 1643 1643 NSK Japan
## 1644 1644 Kaneka Japan
## 1645 1645 IVAX United States
## 1646 1646 Banca CR Firenze Italy
## 1647 1647 Israel Discount Bank Israel
## 1648 1648 Montpelier Re Holdings Bermuda
## 1649 1649 Leucadia National United States
## 1650 1650 Yamada Denki Japan
## 1651 1651 SembCorp Industries Singapore
## 1652 1652 FirstGroup United Kingdom
## 1653 1653 Hokkaido Bank Japan
## 1654 1654 Kanebo Japan
## 1655 1655 Grupo Bimbo Mexico
## 1656 1656 Winn-Dixie Stores United States
## 1657 1657 Higo Bank Japan
## 1658 1658 Ogaki Kyoritsu Bank Japan
## 1659 1659 Sumitomo Metal Mining Japan
## 1660 1660 Shinko Securities Japan
## 1661 1661 Tokyo Leasing Japan
## 1662 1662 Tesoro Petroleum United States
## 1663 1663 BW Bank Germany
## 1664 1664 Liberty Property United States
## 1665 1665 Provident Financial Plc United Kingdom
## 1666 1666 EON-Edaran Otomobil Malaysia
## 1667 1667 Nomura Research Institute Japan
## 1668 1668 Taiwan Business Bank Taiwan
## 1669 1669 Autogrill Italy
## 1670 1670 Tatung Taiwan
## 1671 1671 Seino Transportation Japan
## 1672 1672 Bemis United States
## 1673 1673 Schroders United Kingdom
## 1674 1674 San Miguel Philippines
## 1675 1675 Storage Technology United States
## 1676 1676 MDC Holdings United States
## 1677 1677 CJ South Korea
## 1678 1678 Molson Canada
## 1679 1679 Intl Flavors & Frags United States
## 1680 1680 CSM Netherlands
## 1681 1681 Van Lanschot Netherlands
## 1682 1682 Yanzhou Coal Mining China
## 1683 1683 Fraser & Neave Singapore
## 1684 1684 Grupo Financiero Inbursa Mexico
## 1685 1685 Western Digital United States
## 1686 1686 Great A&P Tea United States
## 1687 1687 NOVA Chemicals Canada
## 1688 1688 Genting Malaysia
## 1689 1689 Diebold United States
## 1690 1690 People`s Bank United States
## 1691 1691 Nidec Japan
## 1692 1692 Gilead Sciences United States
## 1693 1693 Toda Japan
## 1694 1694 Fisher Scientific United States
## 1695 1695 Kagoshima Bank Japan
## 1696 1696 Regal Entertainment Group United States
## 1697 1697 Allergan United States
## 1698 1698 Hong Leong Credit Malaysia
## 1699 1699 Washington Federal United States
## 1700 1700 GTech Holdings United States
## 1701 1701 Equifax United States
## 1702 1702 Broadcom United States
## 1703 1703 Dentsply Intl United States
## 1704 1704 EMAP United Kingdom
## 1705 1705 Neptune Orient Lines Singapore
## 1706 1706 Nissin Food Products Japan
## 1707 1707 Patterson Dental United States
## 1708 1708 Fukuoka City Bank Japan
## 1709 1709 Cephalon United States
## 1710 1710 Downey Financial United States
## 1711 1711 Hokkoku Bank Japan
## 1712 1712 Jean Coutu Group Canada
## 1713 1713 Guoco Group Hong Kong/China
## 1714 1714 Allete United States
## 1715 1715 Dassault Systemes France
## 1716 1716 Dow Jones United States
## 1717 1717 City Developments Singapore
## 1718 1718 Isetan Japan
## 1719 1719 Leopalace21 Japan
## 1720 1720 Jaccs Japan
## 1721 1721 Suruga Bank Japan
## 1722 1722 Hanjin Shipping South Korea
## 1723 1723 Musashino Bank Japan
## 1724 1724 Sonic Automotive United States
## 1725 1725 Metro Inc Canada
## 1726 1726 Kiyo Bank Japan
## 1727 1727 Sumisho Lease Japan
## 1728 1728 AmeriCredit United States
## 1729 1729 Toho Bank Japan
## 1730 1730 Weight Watchers Intl United States
## 1731 1731 Pentair United States
## 1732 1732 BEA Systems United States
## 1733 1733 Momiji Holdings Japan
## 1734 1734 Group 4 Falck Denmark
## 1735 1735 Shanghai Automotive China
## 1736 1736 Bank of Nagoya Japan
## 1737 1737 Maxtor United States
## 1738 1738 Shire Pharmaceuticals United Kingdom
## 1739 1739 Central Leasing Japan
## 1740 1740 Fresh Del Monte Cayman Islands
## 1741 1741 Sankyo (machinery) Japan
## 1742 1742 Kyushu-Shinwa Holdings Japan
## 1743 1743 Denway Motors Hong Kong/China
## 1744 1744 Bank of Bermuda Bermuda
## 1745 1745 Juniper Networks United States
## 1746 1746 Keiyo Bank Japan
## 1747 1747 Ebara Japan
## 1748 1748 Erie Indemnity United States
## 1749 1749 Kumagai Gumi Japan
## 1750 1750 Travis Perkins United Kingdom
## 1751 1751 Jyske Bank Denmark
## 1752 1752 Maruha Japan
## 1753 1753 Shionogi & Co Japan
## 1754 1754 Teekay Shipping Bahamas
## 1755 1755 Rent-A-Center United States
## 1756 1756 TabCorp Holdings Australia
## 1757 1757 QLogic United States
## 1758 1758 Health Care Property United States
## 1759 1759 Transmontaigne United States
## 1760 1760 IDB Holding Israel
## 1761 1761 Yamazaki Baking Japan
## 1762 1762 Buderus Germany
## 1763 1763 SEI Investments United States
## 1764 1764 Oita Bank Japan
## 1765 1765 Kuhne & Nagel Intl Switzerland
## 1766 1766 Hyundai Eng & Const South Korea
## 1767 1767 Puget Energy United States
## 1768 1768 Shikoku Bank Japan
## 1769 1769 Community Health Sys United States
## 1770 1770 Awa Bank Japan
## 1771 1771 Toto Japan
## 1772 1772 JSR Japan
## 1773 1773 Stanley Works United States
## 1774 1774 AWG United Kingdom
## 1775 1775 Yamanashi Chou Bank Japan
## 1776 1776 Maeda Japan
## 1777 1777 Macerich United States
## 1778 1778 Jiangsu Expressway China
## 1779 1779 R&G Financial United States
## 1780 1780 Questar United States
## 1781 1781 Britannic Group United Kingdom
## 1782 1782 Marconi United Kingdom
## 1783 1783 Hanshin Construction South Korea
## 1784 1784 Tokyo Tomin Bank Japan
## 1785 1785 Teck Cominco Canada
## 1786 1786 Service Corp Intl United States
## 1787 1787 Bank of Iwate Japan
## 1788 1788 Hudson United Bancorp United States
## 1789 1789 Swedish Match Sweden
## 1790 1790 Aichi Bank Japan
## 1791 1791 AK Steel Holding United States
## 1792 1792 Sonoco Products United States
## 1793 1793 Casio Computer Japan
## 1794 1794 Abercrombie & Fitch United States
## 1795 1795 BPB United Kingdom
## 1796 1796 Commercial Federal United States
## 1797 1797 Intl Bancshares United States
## 1798 1798 Soriana Mexico
## 1799 1799 Akita Bank Japan
## 1800 1800 United Auto Group United States
## 1801 1801 Endurance Specialty Bermuda
## 1802 1802 South Financial Group United States
## 1803 1803 CNF United States
## 1804 1804 Sumitomo Heavy Inds Japan
## 1805 1805 INI Steel South Korea
## 1806 1806 Great Plains Energy United States
## 1807 1807 Rashid Hussain Malaysia
## 1808 1808 Eighteenth Bank Japan
## 1809 1809 DaVita United States
## 1810 1810 Seat-Pagine Gialle Italy
## 1811 1811 Aomori Bank Japan
## 1812 1812 Big Food Group United Kingdom
## 1813 1813 Enka Turkey
## 1814 1814 Allegheny Energy United States
## 1815 1815 Convergys United States
## 1816 1816 Mabuchi Motor Japan
## 1817 1817 Pall United States
## 1818 1818 National Fuel Gas United States
## 1819 1819 ChoicePoint United States
## 1820 1820 Vimpel Communications Russia
## 1821 1821 Chi Mei Optoelectronics Taiwan
## 1822 1822 Shin Kong Financial Taiwan
## 1823 1823 Mitsui Engineering & Ship Japan
## 1824 1824 Trustmark United States
## 1825 1825 Fukui Bank Japan
## 1826 1826 Pacific Century Regional Singapore
## 1827 1827 Standard Pacific United States
## 1828 1828 Redwood Trust United States
## 1829 1829 Shaw Communications Canada
## 1830 1830 DPL United States
## 1831 1831 YTL Malaysia
## 1832 1832 Minara Resources Australia
## 1833 1833 Salzgitter Germany
## 1834 1834 Santos Australia
## 1835 1835 Tochigi Bank Japan
## 1836 1836 Hawaiian Electric United States
## 1837 1837 Gambro Sweden
## 1838 1838 Moore Wallace Canada
## 1839 1839 Nippon Light Metal Japan
## 1840 1840 LogicaCMG United Kingdom
## 1841 1841 Chiba Kogyo Bank Japan
## 1842 1842 Guangdong Electric Power China
## 1843 1843 Michinoku Bank Japan
## 1844 1844 ISS Denmark
## 1845 1845 Career Education United States
## 1846 1846 Basler Kantonalbank Switzerland
## 1847 1847 Sumikin Bussan Japan
## 1848 1848 Bowater United States
## 1849 1849 Somerfield United Kingdom
## 1850 1850 United Mizrahi Bank Israel
## 1851 1851 CSK Japan
## 1852 1852 Mercury General United States
## 1853 1853 Ensco International United States
## 1854 1854 Belo United States
## 1855 1855 Bank of Ikeda Japan
## 1856 1856 Hyosung South Korea
## 1857 1857 Merloni Elettrodomestici Italy
## 1858 1858 Bank of Saga Japan
## 1859 1859 ServiceMaster United States
## 1860 1860 Hokuetsu Bank Japan
## 1861 1861 Mercantil Servicios Fin Venezuela
## 1862 1862 Arriva United Kingdom
## 1863 1863 International Steel Group United States
## 1864 1864 Metro Cash and Carry South Africa
## 1865 1865 Siam Commercial Bank Thailand
## 1866 1866 Pixar United States
## 1867 1867 Aplus Japan
## 1868 1868 Woodside Petroleum Australia
## 1869 1869 AVA Germany
## 1870 1870 McClatchy United States
## 1871 1871 Central European Media Bermuda
## 1872 1872 Trizec Properties United States
## 1873 1873 Bayerische Immobilien Germany
## 1874 1874 Cosco Pacific Hong Kong/China
## 1875 1875 MyTravel Group United Kingdom
## 1876 1876 Piraeus Bank Greece
## 1877 1877 Northumbrian Water United Kingdom
## 1878 1878 Tosoh Japan
## 1879 1879 Far EasTone Telecom Taiwan
## 1880 1880 Nisshin Steel Japan
## 1881 1881 Del Monte Foods United States
## 1882 1882 Kangwon Land South Korea
## 1883 1883 AMMB Holdings Malaysia
## 1884 1884 Ceridian United States
## 1885 1885 Vishay Intertech United States
## 1886 1886 Viad United States
## 1887 1887 SPAR Handels Germany
## 1888 1888 Newfield Exploration United States
## 1889 1889 Yamagata Bank Japan
## 1890 1890 Sierra Pacific Res United States
## 1891 1891 Advantest Japan
## 1892 1892 Farmers Bank of China Taiwan
## 1893 1893 Banco Pastor Spain
## 1894 1894 Daimaru Japan
## 1895 1895 Samsung Heavy Industries South Korea
## 1896 1896 Balfour Beatty United Kingdom
## 1897 1897 Towa Bank Japan
## 1898 1898 Red Eectrica de Espaqa Spain
## 1899 1899 China Motor Taiwan
## 1900 1900 Daio Paper Japan
## 1901 1901 Old National Bncp United States
## 1902 1902 Dah Sing Financial Hong Kong/China
## 1903 1903 AEM Italy
## 1904 1904 Antofagasta United Kingdom
## 1905 1905 Research In Motion Canada
## 1906 1906 Nippon Steel Trading Japan
## 1907 1907 SpectraSite United States
## 1908 1908 Capitol Federal Finl United States
## 1909 1909 Laidlaw International United States
## 1910 1910 Higashi-Nippon Bank Japan
## 1911 1911 Tokyo Broadcasting System Japan
## 1912 1912 Investkredit Bank Austria
## 1913 1913 CBD-Brasil Distribuieco Brazil
## 1914 1914 WMC Resources Australia
## 1915 1915 Brasil Telecom Brazil
## 1916 1916 BEKB-BCBE Switzerland
## 1917 1917 Stockland Australia Australia
## 1918 1918 Miyazaki Bank Japan
## 1919 1919 Associated British Ports United Kingdom
## 1920 1920 Equitable Resources United States
## 1921 1921 Siebel Systems United States
## 1922 1922 Mahanagar Telephone Nigam India
## 1923 1923 Greater Bay Bancorp United States
## 1924 1924 Meiji Dairies Japan
## 1925 1925 Natl Semiconductor United States
## 1926 1926 Borders United States
## 1927 1927 FIBI Holding Israel
## 1928 1928 Snow Brand Milk Japan
## 1929 1929 JDS Uniphase United States
## 1930 1930 Arthur J Gallagher United States
## 1931 1931 LG Construction South Korea
## 1932 1932 Gamesa Spain
## 1933 1933 Berkeley Group United Kingdom
## 1934 1934 Hanjaya Mandala Sampoerna Indonesia
## 1935 1935 Agere Systems United States
## 1936 1936 Daisan Bank Japan
## 1937 1937 OKO Bank Finland
## 1938 1938 First Citizens Bcshs United States
## 1939 1939 Bausch & Lomb United States
## 1940 1940 St Galler Kantonalbank Switzerland
## 1941 1941 Wing Lung Bank Hong Kong/China
## 1942 1942 Avtovaz Russia
## 1943 1943 Arcelik Turkey
## 1944 1944 Buenaventura Peru
## 1945 1945 Whitney Holding United States
## 1946 1946 Chukyo Bank Japan
## 1947 1947 Axel Springer Germany
## 1948 1948 ICAP United Kingdom
## 1949 1949 Metro-Goldwyn-Mayer United States
## 1950 1950 Ehime Bank Japan
## 1951 1951 CMPC Chile
## 1952 1952 Finova Group United States
## 1953 1953 Grupo Imsa Mexico
## 1954 1954 Hanwa Japan
## 1955 1955 Hewitt Associates United States
## 1956 1956 Punch Taverns United Kingdom
## 1957 1957 Falabella Chile
## 1958 1958 Laurus Netherlands
## 1959 1959 Alliant Techsystems United States
## 1960 1960 Luzerner Kantonalbank Switzerland
## 1961 1961 Custodia Holding Germany
## 1962 1962 Iwataya Department Store Japan
## 1963 1963 Laurentian Bank Canada
## 1964 1964 Bca Popolare di Sondrio Italy
## 1965 1965 Valiant Holding Switzerland
## 1966 1966 Aquila United States
## 1967 1967 BayWa Germany
## 1968 1968 Hirose Electric Japan
## 1969 1969 Hellenic Petroleum Greece
## 1970 1970 Performance Food United States
## 1971 1971 Citrix Systems United States
## 1972 1972 SEB France
## 1973 1973 China Southern Airlines China
## 1974 1974 Cameco Canada
## 1975 1975 Neyveli Lignite India
## 1976 1976 SinoPac Holdings Taiwan
## 1977 1977 Universal United States
## 1978 1978 Daewoo Intl South Korea
## 1979 1979 Banco di Sardegna Italy
## 1980 1980 Petroplus Intl Netherlands
## 1981 1981 CSN-Cia Siderurgica Brazil
## 1982 1982 Sumitomo Forestry Japan
## 1983 1983 Bharti Tele-Ventures India
## 1984 1984 Indian Overseas Bank India
## 1985 1985 Cousins Properties United States
## 1986 1986 Bank of Ryukyus Japan
## 1987 1987 Bank Philippine Islands Philippines
## 1988 1988 Haseko Japan
## 1989 1989 Stanley Electric Japan
## 1990 1990 Mack-Cali Realty United States
## 1991 1991 Peabody Energy United States
## 1992 1992 Origin Energy Australia
## 1993 1993 Sogecable Spain
## 1994 1994 Mobilcom Germany
## 1995 1995 AMEC United Kingdom
## 1996 1996 Siam City Bank Thailand
## 1997 1997 Yokogawa Electric Japan
## 1998 1998 Hindalco Industries India
## 1999 1999 Nexans France
## 2000 2000 Oriental Bank of Commerce India
## category sales profits assets marketvalue
## 1 Banking 94.71 17.85 1264.03 255.30
## 2 Conglomerates 134.19 15.59 626.93 328.54
## 3 Insurance 76.66 6.46 647.66 194.87
## 4 Oil & gas operations 222.88 20.96 166.99 277.02
## 5 Oil & gas operations 232.57 10.27 177.57 173.54
## 6 Banking 49.01 10.81 736.45 117.55
## 7 Banking 44.33 6.66 757.60 177.96
## 8 Consumer durables 135.82 7.99 171.71 115.40
## 9 Diversified financials 53.13 6.48 1019.17 76.84
## 10 Retailing 256.33 9.05 104.91 243.74
## 11 Diversified financials 48.95 5.15 853.23 85.07
## 12 Diversified financials 94.72 4.73 752.49 54.59
## 13 Oil & gas operations 133.50 8.40 100.72 163.45
## 14 Insurance 56.22 6.95 172.24 141.14
## 15 Banking 44.39 4.47 792.70 81.94
## 16 Technology hardware & equipment 89.13 7.58 104.46 171.54
## 17 Oil & gas operations 131.64 8.84 87.84 116.64
## 18 Banking 47.74 4.73 745.09 59.29
## 19 Banking 35.65 4.95 663.45 90.21
## 20 Diversified financials 46.26 10.09 752.25 44.25
## 21 Consumer durables 157.13 5.12 195.58 47.43
## 22 Food drink & tobacco 60.70 9.20 96.18 111.02
## 23 Oil & gas operations 112.94 7.43 82.36 92.49
## 24 Drugs & biotechnology 40.36 6.20 120.06 285.27
## 25 Banking 31.80 6.20 387.80 97.53
## 26 Telecommunications services 67.75 2.57 165.97 103.97
## 27 Banking 33.69 4.90 791.54 61.33
## 28 Diversified financials 33.00 3.64 580.63 64.81
## 29 Consumer durables 185.52 3.82 450.00 27.47
## 30 Telecommunications services 92.41 2.17 150.87 73.00
## 31 Software & services 34.27 8.88 85.94 287.02
## 32 Food drink & tobacco 64.56 5.48 62.15 106.55
## 33 Telecommunications services 39.16 5.97 100.17 82.93
## 34 Diversified financials 58.85 1.53 792.49 50.23
## 35 Conglomerates 86.62 2.81 85.47 75.77
## 36 Banking 32.68 3.09 571.76 52.87
## 37 Oil & gas operations 53.29 4.82 67.91 76.13
## 38 Oil & gas operations 90.49 4.83 81.95 46.72
## 39 Banking 28.70 3.28 442.24 56.78
## 40 Diversified financials 26.64 3.47 485.77 57.52
## 41 Banking 24.47 4.25 400.87 62.35
## 42 Media 38.08 2.65 121.78 77.95
## 43 Technology hardware & equipment 73.06 2.54 74.71 70.20
## 44 Household & personal products 46.99 5.81 53.86 131.89
## 45 Semiconductors 50.22 5.95 54.58 72.72
## 46 Drugs & biotechnology 40.01 6.74 46.66 160.96
## 47 Banking 24.48 2.87 406.99 48.11
## 48 Banking 23.64 3.98 704.95 39.29
## 49 Consumer durables 67.44 3.61 63.09 40.61
## 50 Diversified financials 24.17 3.00 175.00 68.89
## 51 Consumer durables 57.77 4.19 60.56 41.71
## 52 Banking 21.04 3.40 290.01 58.38
## 53 Insurance 90.10 1.00 456.13 41.39
## 54 Banking 35.52 1.61 526.54 40.61
## 55 Oil & gas operations 29.53 5.67 58.36 90.49
## 56 Diversified financials 22.84 2.54 394.14 50.12
## 57 Banking 24.10 2.81 288.80 44.67
## 58 Semiconductors 30.14 5.64 47.14 196.87
## 59 Insurance 35.79 2.24 326.84 26.34
## 60 Retailing 62.90 4.04 35.37 82.29
## 61 Media 25.85 2.47 90.94 68.66
## 62 Insurance 32.15 2.73 134.14 32.90
## 63 Drugs & biotechnology 30.78 7.33 42.59 108.76
## 64 Drugs & biotechnology 26.77 5.40 46.92 116.43
## 65 Utilities 38.99 2.11 71.36 46.84
## 66 Food drink & tobacco 50.70 2.24 45.49 72.19
## 67 Banking 18.01 3.88 275.18 39.69
## 68 Banking 31.77 1.12 531.01 38.80
## 69 Transportation 41.23 1.64 169.33 26.83
## 70 Media 18.35 3.24 109.16 67.30
## 71 Consumer durables 91.33 2.71 112.87 17.42
## 72 Utilities 41.62 1.40 116.68 30.63
## 73 Insurance 45.85 1.14 191.33 26.63
## 74 Consumer durables 52.23 2.12 58.11 29.03
## 75 Consumer durables 164.20 0.76 312.56 26.29
## 76 Conglomerates 37.57 1.19 62.80 58.41
## 77 Banking 14.57 3.73 189.29 52.88
## 78 Drugs & biotechnology 25.18 2.48 45.77 95.38
## 79 Banking 18.82 2.28 305.01 31.82
## 80 Drugs & biotechnology 34.16 6.34 29.19 124.79
## 81 Oil & gas operations 39.16 1.94 45.32 50.09
## 82 Consumer durables 63.23 0.98 68.04 38.00
## 83 Technology hardware & equipment 37.05 4.52 29.15 104.30
## 84 Telecommunications services 22.58 3.59 49.62 54.08
## 85 Media 28.44 1.92 51.52 55.06
## 86 Banking 15.34 2.69 269.94 36.51
## 87 Oil & gas operations 19.21 3.81 77.15 36.28
## 88 Food markets 96.94 1.45 40.11 37.19
## 89 Technology hardware & equipment 19.82 4.35 36.59 166.09
## 90 Banking 14.22 2.13 196.40 47.19
## 91 Utilities 45.68 1.10 97.35 23.76
## 92 Banking 16.53 1.89 223.60 33.53
## 93 Telecommunications services 29.58 4.24 44.42 28.73
## 94 Transportation 32.81 3.54 28.37 79.62
## 95 Conglomerates 31.03 2.36 34.65 48.77
## 96 Diversified financials 52.51 0.56 507.98 30.19
## 97 Chemicals 32.63 1.74 41.89 39.85
## 98 Insurance 17.75 1.63 266.59 23.49
## 99 Banking 19.62 1.36 368.37 21.64
## 100 Consumer durables 38.17 2.05 54.04 19.64
## 101 Retailing 46.65 1.70 31.42 37.52
## 102 Food drink & tobacco 21.03 4.35 27.34 125.37
## 103 Diversified financials 17.10 1.47 291.64 23.01
## 104 Food drink & tobacco 26.97 3.49 25.33 86.73
## 105 Insurance 38.22 0.72 242.97 18.84
## 106 Banking 13.09 1.88 216.00 26.46
## 107 Aerospace & defense 50.49 0.70 52.99 35.54
## 108 Drugs & biotechnology 21.66 2.29 31.06 62.98
## 109 Oil & gas operations 29.14 2.05 39.34 26.22
## 110 Media 20.16 1.22 45.65 55.43
## 111 Chemicals 33.84 1.58 35.59 30.00
## 112 Telecommunications services 15.53 3.96 34.36 67.08
## 113 Technology hardware & equipment 41.44 2.65 19.31 88.46
## 114 Consumer durables 68.23 1.89 58.34 12.36
## 115 Utilities 20.43 1.65 57.92 21.10
## 116 Telecommunications services 34.53 1.85 47.99 15.84
## 117 Oil & gas operations 35.02 2.36 29.01 23.55
## 118 Drugs & biotechnology 19.89 2.90 26.53 56.05
## 119 Drugs & biotechnology 20.46 3.29 23.57 83.03
## 120 Food markets 41.48 1.49 25.90 33.99
## 121 Drugs & biotechnology 18.99 2.44 26.15 69.27
## 122 Materials 17.86 2.13 28.43 57.43
## 123 Chemicals 30.42 1.11 42.78 21.90
## 124 Insurance 27.73 0.50 325.77 24.92
## 125 Diversified financials 11.38 2.17 58.71 35.71
## 126 Banking 10.75 1.36 178.29 31.95
## 127 Oil & gas operations 22.61 2.29 27.06 35.52
## 128 Banking 13.49 0.93 212.16 24.60
## 129 Drugs & biotechnology 15.33 3.29 28.24 56.35
## 130 Banking 13.00 1.56 209.00 18.27
## 131 Technology hardware & equipment 27.06 0.89 32.10 40.08
## 132 Chemicals 26.20 0.72 37.39 44.32
## 133 Banking 12.64 1.57 308.62 16.39
## 134 Capital goods 22.76 1.10 37.01 26.63
## 135 Aerospace & defense 23.10 1.34 29.34 31.39
## 136 Banking 13.42 0.93 262.20 20.14
## 137 Materials 16.16 1.67 32.95 35.27
## 138 Business services & supplies 24.76 1.61 23.34 42.84
## 139 Insurance 14.54 1.70 62.69 18.46
## 140 Hotels restaurants & leisure 17.49 1.42 41.07 23.08
## 141 Insurance 17.02 1.01 111.43 16.58
## 142 Construction 37.22 1.09 31.67 18.87
## 143 Transportation 21.71 0.83 56.79 20.07
## 144 Conglomerates 9.65 1.83 63.53 35.38
## 145 Health care equipment & services 61.30 1.45 19.52 28.31
## 146 Banking 10.08 1.38 194.35 21.63
## 147 Materials 21.50 0.99 31.71 32.14
## 148 Banking 9.59 2.12 113.93 21.51
## 149 Banking 9.45 1.49 150.08 24.44
## 150 Retailing 30.03 1.79 18.68 45.29
## 151 Banking 11.88 0.82 207.09 22.26
## 152 Utilities 18.01 2.57 58.38 11.84
## 153 Transportation 19.20 1.53 24.09 37.67
## 154 Banking 13.97 1.07 157.59 14.44
## 155 Food drink & tobacco 17.07 1.86 25.89 31.33
## 156 Trading companies 112.76 0.46 67.69 15.13
## 157 Utilities 22.12 0.68 60.52 17.56
## 158 Diversified financials 20.64 0.75 265.53 12.16
## 159 Insurance 24.16 0.48 83.23 22.97
## 160 Banking 8.79 1.60 132.44 23.40
## 161 Diversified financials 9.88 2.37 97.94 16.34
## 162 Aerospace & defense 31.82 1.05 25.34 22.27
## 163 Conglomerates 18.23 2.40 17.59 62.48
## 164 Telecommunications services 13.81 2.31 23.99 47.18
## 165 Drugs & biotechnology 12.58 2.56 21.68 82.53
## 166 Health care equipment & services 28.57 1.83 17.63 35.01
## 167 Retailing 30.64 1.67 31.20 12.84
## 168 Conglomerates 23.53 1.27 29.65 17.64
## 169 Aerospace & defense 23.94 0.87 33.66 18.98
## 170 Insurance 12.85 1.19 59.81 16.91
## 171 Utilities 18.41 0.90 52.08 15.59
## 172 Retailing 41.12 3.40 27.74 10.60
## 173 Utilities 15.81 0.79 41.62 21.44
## 174 Hotels restaurants & leisure 16.48 1.04 25.23 33.80
## 175 Telecommunications services 14.70 1.40 30.35 20.20
## 176 Health care equipment & services 21.81 1.33 21.06 21.65
## 177 Insurance 11.27 0.91 49.24 20.65
## 178 Utilities 11.17 1.53 33.89 21.60
## 179 Banking 6.47 1.77 91.14 32.74
## 180 Consumer durables 40.57 1.21 37.83 8.85
## 181 Drugs & biotechnology 8.36 2.26 26.18 83.02
## 182 Utilities 14.85 0.62 39.34 23.73
## 183 Food markets 53.23 1.04 20.61 14.09
## 184 Oil & gas operations 15.25 1.83 21.68 21.65
## 185 Banking 7.07 1.33 125.39 20.80
## 186 Household & personal products 17.65 1.89 14.13 56.46
## 187 Telecommunications services 16.70 0.44 47.80 27.28
## 188 Materials 10.01 1.64 24.08 43.52
## 189 Utilities 11.94 1.33 30.99 18.78
## 190 Diversified financials 9.78 1.15 46.28 17.17
## 191 Utilities 11.78 0.72 41.54 20.44
## 192 Transportation 11.55 1.31 33.46 16.55
## 193 Telecommunications services 10.15 2.37 21.44 29.81
## 194 Insurance 10.67 1.39 49.52 12.60
## 195 Banking 6.34 1.16 92.30 25.27
## 196 Capital goods 24.28 0.60 32.68 14.12
## 197 Retailing 33.74 1.20 12.10 35.33
## 198 Health care equipment & services 18.12 0.78 41.06 11.82
## 199 Utilities 15.76 1.10 32.94 12.72
## 200 Banking 7.40 0.90 112.77 20.15
## 201 Food drink & tobacco 14.15 2.08 14.69 42.34
## 202 Telecommunications services 9.12 2.04 24.85 29.92
## 203 Insurance 26.35 0.60 158.05 8.00
## 204 Household & personal products 13.99 1.60 16.41 30.59
## 205 Business services & supplies 69.30 0.24 77.32 21.09
## 206 Materials 42.17 0.60 33.85 10.23
## 207 Telecommunications services 14.19 1.62 21.86 16.60
## 208 Media 8.85 1.14 28.17 27.86
## 209 Consumer durables 19.74 0.94 19.60 17.20
## 210 Insurance 9.27 0.83 108.87 12.38
## 211 Telecommunications services 23.56 0.49 23.36 23.55
## 212 Banking 6.24 1.06 90.47 20.43
## 213 Oil & gas operations 10.86 3.04 14.21 39.81
## 214 Oil & gas operations 36.68 1.32 19.06 10.39
## 215 Food drink & tobacco 16.52 1.06 16.27 23.37
## 216 Software & services 8.32 1.36 26.29 29.06
## 217 Telecommunications services 14.51 4.45 30.46 8.45
## 218 Food markets 54.12 0.47 22.94 14.38
## 219 Construction 23.37 0.70 25.12 12.35
## 220 Conglomerates 14.33 1.12 15.71 26.88
## 221 Banking 6.80 1.10 89.95 15.04
## 222 Diversified financials 9.24 0.79 103.77 11.69
## 223 Banking 7.37 0.84 147.16 13.68
## 224 Retailing 43.87 0.74 14.33 17.23
## 225 Trading companies 111.98 0.28 54.88 12.30
## 226 Drugs & biotechnology 8.85 2.30 17.37 37.96
## 227 Insurance 10.85 0.79 38.09 13.29
## 228 Utilities 35.97 0.36 44.04 12.09
## 229 Diversified financials 6.91 1.06 209.69 12.16
## 230 Banking 19.20 0.21 291.90 26.26
## 231 Transportation 22.98 0.65 16.21 20.56
## 232 Transportation 11.53 0.42 46.05 20.66
## 233 Semiconductors 9.83 1.20 15.51 53.25
## 234 Food drink & tobacco 16.46 0.64 24.48 14.84
## 235 Capital goods 14.01 0.64 26.26 15.75
## 236 Telecommunications services 13.82 1.64 24.11 10.98
## 237 Food drink & tobacco 18.66 1.11 14.91 17.08
## 238 Software & services 9.71 2.49 11.78 72.09
## 239 Banking 6.09 0.99 72.28 15.82
## 240 Health care equipment & services 20.36 0.94 14.79 16.18
## 241 Aerospace & defense 15.72 0.88 15.88 18.99
## 242 Insurance 11.11 1.48 14.49 25.96
## 243 Oil & gas operations 25.26 1.39 13.74 12.93
## 244 Construction 17.18 0.48 27.98 14.05
## 245 Utilities 23.05 0.77 13.96 17.21
## 246 Food drink & tobacco 17.33 0.68 25.71 10.76
## 247 Banking 15.76 0.80 60.89 6.83
## 248 Health care equipment & services 8.57 1.88 13.44 57.38
## 249 Food markets 27.54 0.72 18.87 10.51
## 250 Household & personal products 21.20 0.41 24.30 15.00
## 251 Banking 10.37 0.88 104.80 7.34
## 252 Food drink & tobacco 10.77 1.00 18.78 16.81
## 253 Banking 5.46 0.72 87.53 18.17
## 254 Business services & supplies 7.01 0.97 24.70 25.86
## 255 Business services & supplies 11.57 0.72 20.66 16.87
## 256 Utilities 8.97 0.92 28.57 13.27
## 257 Insurance 11.27 1.05 16.16 17.79
## 258 Utilities 11.23 0.91 26.94 10.74
## 259 Hotels restaurants & leisure 5.93 1.18 23.40 37.96
## 260 Banking 5.40 0.91 97.46 14.02
## 261 Food drink & tobacco 19.84 0.84 14.53 14.05
## 262 Banking 5.73 0.90 84.49 13.18
## 263 Banking 8.02 0.61 134.48 10.11
## 264 Oil & gas operations 13.89 0.38 19.94 37.49
## 265 Oil & gas operations 8.94 1.54 17.71 17.22
## 266 Food markets 28.32 0.38 20.97 14.46
## 267 Health care equipment & services 18.69 0.43 90.17 7.45
## 268 Banking 7.43 0.61 142.77 10.21
## 269 Utilities 9.67 0.88 25.16 11.89
## 270 Transportation 9.29 0.78 26.94 12.03
## 271 Insurance 8.47 0.88 40.36 9.86
## 272 Materials 14.59 0.31 31.25 16.77
## 273 Oil & gas operations 7.01 2.20 15.75 23.26
## 274 Media 8.14 0.90 18.68 21.07
## 275 Materials 12.10 0.92 16.04 13.23
## 276 Food drink & tobacco 31.73 0.49 17.69 10.93
## 277 Insurance 15.98 0.28 54.50 12.49
## 278 Drugs & biotechnology 10.12 2.62 8.77 51.88
## 279 Health care equipment & services 66.45 0.61 15.95 8.33
## 280 Retailing 26.59 0.85 10.54 14.81
## 281 Utilities 13.48 0.52 34.49 8.67
## 282 Oil & gas operations 14.33 0.97 20.83 8.78
## 283 Aerospace & defense 18.11 0.37 23.41 13.22
## 284 Materials 19.87 0.29 28.11 13.95
## 285 Utilities 12.02 0.54 34.69 8.48
## 286 Chemicals 16.42 1.02 14.04 11.16
## 287 Consumer durables 23.85 0.71 13.67 11.14
## 288 Diversified financials 3.91 1.40 64.61 18.21
## 289 Oil & gas operations 5.89 1.73 27.16 12.51
## 290 Food markets 35.90 0.63 15.25 8.79
## 291 Telecommunications services 8.11 1.32 16.45 15.84
## 292 Capital goods 10.04 1.02 11.19 24.29
## 293 Business services & supplies 14.71 0.61 15.11 13.50
## 294 Oil & gas operations 6.29 1.56 16.57 21.36
## 295 Retailing 26.14 0.43 16.75 11.31
## 296 Retailing 15.62 0.92 10.18 18.10
## 297 Household & personal products 9.25 1.39 9.96 37.48
## 298 Utilities 8.73 0.80 24.14 11.19
## 299 Health care equipment & services 16.77 0.77 13.44 11.64
## 300 Banking 12.76 0.40 170.76 6.64
## 301 Business services & supplies 15.70 0.36 24.59 11.95
## 302 Banking 3.84 1.11 82.55 16.28
## 303 Oil & gas operations 9.57 0.84 13.49 18.40
## 304 Utilities 11.95 0.61 35.62 7.11
## 305 Food markets 27.54 0.84 7.31 24.28
## 306 Media 6.62 1.20 14.40 23.96
## 307 Health care equipment & services 8.92 0.90 13.78 18.73
## 308 Utilities 8.29 0.75 21.89 12.31
## 309 Capital goods 21.94 0.29 30.59 9.82
## 310 Oil & gas operations 6.37 0.79 19.92 19.10
## 311 Consumer durables 18.93 0.38 17.07 12.86
## 312 Insurance 6.40 0.38 60.09 14.65
## 313 Retailing 23.09 0.55 10.08 17.42
## 314 Trading companies 78.08 0.24 40.69 7.78
## 315 Banking 12.65 0.31 237.41 7.15
## 316 Transportation 17.83 0.75 19.89 7.07
## 317 Construction 22.77 0.50 20.94 7.68
## 318 Telecommunications services 5.82 0.79 18.55 23.85
## 319 Diversified financials 12.10 0.41 44.36 7.76
## 320 Telecommunications services 10.52 0.60 11.98 22.63
## 321 Banking 12.09 0.57 57.80 5.77
## 322 Technology hardware & equipment 10.49 0.41 13.72 34.08
## 323 Capital goods 11.04 0.54 14.37 15.39
## 324 Banking 6.24 0.43 108.47 10.42
## 325 Chemicals 10.55 0.74 11.51 17.55
## 326 Banking 3.38 0.86 94.30 21.22
## 327 Insurance 8.02 0.41 40.76 10.61
## 328 Construction 10.56 0.91 12.20 12.71
## 329 Business services & supplies 47.85 0.16 39.73 13.27
## 330 Insurance 9.58 0.59 26.21 8.09
## 331 Food drink & tobacco 8.53 0.88 12.30 16.88
## 332 Business services & supplies 16.95 0.28 16.65 18.21
## 333 Oil & gas operations 34.51 0.58 15.25 6.70
## 334 Utilities 9.83 0.54 20.97 9.77
## 335 Banking 4.55 0.71 33.98 14.25
## 336 Materials 12.51 0.46 18.26 10.16
## 337 Household & personal products 9.90 1.42 7.48 29.56
## 338 Retailing 15.23 0.57 14.75 8.92
## 339 Oil & gas operations 5.12 1.25 20.55 12.92
## 340 Drugs & biotechnology 8.82 0.40 14.34 27.05
## 341 Hotels restaurants & leisure 18.65 0.31 14.11 14.91
## 342 Oil & gas operations 9.42 1.29 11.26 11.82
## 343 Retailing 32.34 0.34 18.60 7.71
## 344 Retailing 12.76 0.76 10.67 11.73
## 345 Oil & gas operations 26.44 0.27 28.03 7.50
## 346 Media 8.23 0.66 12.68 15.79
## 347 Materials 25.00 0.13 34.64 20.85
## 348 Diversified financials 14.90 0.25 78.44 6.73
## 349 Technology hardware & equipment 6.24 0.50 14.09 33.49
## 350 Insurance 96.88 -1.23 851.24 48.07
## 351 Construction 11.05 0.65 11.09 11.43
## 352 Retailing 17.67 0.28 15.12 12.81
## 353 Food drink & tobacco 8.81 0.79 10.23 15.77
## 354 Telecommunications services 47.99 -15.51 256.28 174.61
## 355 Health care equipment & services 34.26 0.43 10.26 9.45
## 356 Household & personal products 11.25 0.81 7.38 19.03
## 357 Media 5.55 0.75 14.27 17.07
## 358 Telecommunications services 7.93 0.68 13.04 12.30
## 359 Banking 5.14 0.58 45.45 8.10
## 360 Telecommunications services 5.08 1.25 13.44 15.89
## 361 Materials 10.14 0.66 12.58 9.52
## 362 Consumer durables 19.33 0.40 17.09 6.92
## 363 Banking 7.50 0.27 126.93 8.12
## 364 Telecommunications services 56.40 -25.83 132.01 84.18
## 365 Banking 3.36 0.59 86.02 13.43
## 366 Software & services 8.84 1.36 5.62 54.10
## 367 Retailing 11.29 0.40 11.41 14.17
## 368 Construction 9.42 0.37 18.62 10.27
## 369 Utilities 9.54 0.50 13.80 10.30
## 370 Conglomerates 9.88 0.64 10.66 11.56
## 371 Health care equipment & services 50.58 0.46 11.81 6.35
## 372 Diversified financials 38.01 -2.40 683.44 44.13
## 373 Utilities 12.41 0.18 33.49 12.37
## 374 Telecommunications services 57.99 -21.78 107.86 64.36
## 375 Construction 7.19 0.63 15.88 9.93
## 376 Retailing 13.34 0.43 12.04 10.04
## 377 Banking 4.69 0.61 52.81 7.62
## 378 Software & services 13.64 0.55 6.70 22.04
## 379 Banking 3.32 0.67 44.01 14.38
## 380 Food markets 17.46 0.44 10.57 9.78
## 381 Banking 5.63 0.97 34.20 5.95
## 382 Insurance 57.90 -0.79 239.21 35.11
## 383 Telecommunications services 4.90 0.55 17.93 15.67
## 384 Materials 20.53 0.13 31.50 14.42
## 385 Household & personal products 15.69 0.19 27.48 10.92
## 386 Household & personal products 11.87 0.67 8.60 11.71
## 387 Insurance 4.80 0.38 100.83 8.30
## 388 Business services & supplies 9.05 0.37 13.83 13.27
## 389 Chemicals 6.75 0.62 10.98 16.32
## 390 Banking 7.22 0.50 96.45 4.93
## 391 Diversified financials 5.77 0.30 25.43 14.84
## 392 Materials 20.26 0.23 24.41 7.64
## 393 Construction 10.44 0.74 15.58 6.17
## 394 Materials 8.68 0.25 30.84 9.90
## 395 Transportation 12.25 0.63 8.29 11.51
## 396 Banking 29.17 -3.94 868.42 31.87
## 397 Utilities 37.95 -0.73 115.57 43.96
## 398 Banking 20.65 -1.37 827.48 49.92
## 399 Transportation 9.86 0.35 20.06 7.91
## 400 Semiconductors 4.68 0.62 10.99 39.11
## 401 Banking 4.08 0.55 66.42 8.01
## 402 Insurance 52.46 -0.86 287.58 22.96
## 403 Banking 24.40 -20.11 1115.90 30.87
## 404 Software & services 13.86 0.49 11.11 8.04
## 405 Insurance 47.46 -3.96 263.85 21.83
## 406 Food drink & tobacco 11.25 0.13 26.27 41.30
## 407 Food drink & tobacco 8.28 0.66 9.41 12.76
## 408 Banking 3.11 0.71 51.92 11.38
## 409 Telecommunications services 29.84 -5.86 60.65 86.39
## 410 Materials 15.31 0.18 22.55 11.02
## 411 Food drink & tobacco 5.32 0.70 11.53 15.42
## 412 Telecommunications services 32.99 -0.81 85.03 46.57
## 413 Retailing 9.90 0.62 7.14 16.54
## 414 Chemicals 12.36 0.36 15.53 7.59
## 415 Consumer durables 62.62 -0.16 60.46 33.02
## 416 Banking 3.30 0.66 52.59 10.08
## 417 Oil & gas operations 8.64 1.05 9.36 9.33
## 418 Food drink & tobacco 7.34 0.49 11.50 12.90
## 419 Oil & gas operations 14.31 0.64 13.98 5.42
## 420 Banking 3.73 0.64 48.79 8.23
## 421 Utilities 7.49 0.58 18.05 7.02
## 422 Telecommunications services 7.23 0.64 12.81 8.92
## 423 Trading companies 88.51 0.17 37.20 5.46
## 424 Transportation 6.47 0.42 20.60 8.71
## 425 Semiconductors 7.98 0.28 11.98 24.11
## 426 Utilities 5.57 0.73 17.13 8.01
## 427 Utilities 48.41 -0.91 88.39 22.35
## 428 Utilities 9.70 0.48 15.80 6.68
## 429 Diversified financials 2.94 0.84 20.66 24.02
## 430 Oil & gas operations 6.40 0.73 11.80 9.58
## 431 Banking 40.52 -0.87 705.36 14.49
## 432 Consumer durables 12.94 0.52 9.97 7.65
## 433 Technology hardware & equipment 4.12 0.94 9.03 46.45
## 434 Consumer durables 15.34 0.59 9.50 6.93
## 435 Media 32.05 -5.10 72.79 29.12
## 436 Diversified financials 3.73 0.57 46.34 8.06
## 437 Utilities 7.03 0.52 19.94 6.60
## 438 Insurance 27.53 -0.07 112.20 23.44
## 439 Banking 2.68 0.61 61.92 12.77
## 440 Utilities 8.54 0.37 23.36 6.41
## 441 Oil & gas operations 4.20 1.10 12.42 12.82
## 442 Telecommunications services 5.87 0.41 12.64 14.25
## 443 Household & personal products 13.32 0.27 14.76 8.32
## 444 Banking 17.16 -5.15 665.67 23.71
## 445 Banking 2.96 0.57 49.83 11.35
## 446 Banking 4.30 0.49 66.36 6.12
## 447 Trading companies 13.24 0.48 7.81 9.08
## 448 Consumer durables 8.19 0.53 9.94 9.62
## 449 Utilities 6.71 0.35 18.47 8.39
## 450 Diversified financials 9.16 0.22 24.36 8.52
## 451 Diversified financials 6.85 0.25 153.20 5.61
## 452 Consumer durables 17.05 0.26 12.35 8.04
## 453 Diversified financials 3.84 0.25 43.76 17.09
## 454 Banking 9.22 0.43 32.39 4.19
## 455 Oil & gas operations 4.20 0.66 10.88 18.39
## 456 Retailing 12.84 0.44 6.32 12.64
## 457 Food drink & tobacco 10.27 0.42 11.54 7.33
## 458 Food drink & tobacco 6.93 0.30 12.87 13.37
## 459 Hotels restaurants & leisure 8.59 0.38 11.84 8.99
## 460 Conglomerates 33.42 -3.37 32.71 41.58
## 461 Oil & gas operations 9.27 0.57 6.83 12.37
## 462 Capital goods 20.41 0.11 29.53 12.12
## 463 Utilities 5.53 0.85 9.25 11.28
## 464 Media 11.07 0.24 11.86 11.16
## 465 Oil & gas operations 4.07 1.03 12.58 11.12
## 466 Insurance 17.73 -0.29 211.37 18.56
## 467 Hotels restaurants & leisure 9.01 0.50 8.18 10.30
## 468 Utilities 4.13 0.66 15.85 9.86
## 469 Retailing 6.33 0.17 21.59 22.72
## 470 Insurance 36.10 -0.29 167.94 12.22
## 471 Insurance 7.17 0.26 35.84 6.31
## 472 Food drink & tobacco 25.25 0.36 10.42 5.78
## 473 Food drink & tobacco 9.45 0.46 8.66 9.48
## 474 Chemicals 8.76 0.50 8.42 10.03
## 475 Banking 3.97 0.51 56.20 5.81
## 476 Banking 2.94 0.62 44.34 8.83
## 477 Diversified financials 3.11 0.66 24.19 11.35
## 478 Oil & gas operations 4.70 1.14 7.55 15.88
## 479 Retailing 8.67 0.68 7.28 9.80
## 480 Chemicals 9.50 0.54 9.50 7.12
## 481 Diversified financials 3.57 0.80 16.33 10.32
## 482 Aerospace & defense 31.41 -0.31 47.82 18.17
## 483 Banking 4.12 0.29 64.97 7.96
## 484 Food drink & tobacco 9.07 0.27 14.20 8.66
## 485 Transportation 5.96 0.60 10.88 8.58
## 486 Conglomerates 9.86 0.27 15.09 7.60
## 487 Trading companies 74.39 0.26 35.23 3.00
## 488 Utilities 21.58 -1.16 54.99 19.41
## 489 Utilities 5.46 0.31 33.94 6.34
## 490 Diversified financials 3.70 0.64 18.44 9.56
## 491 Diversified financials 7.59 0.09 178.14 31.06
## 492 Consumer durables 32.87 0.32 19.86 3.46
## 493 Insurance 3.91 0.39 105.38 5.84
## 494 Banking 15.28 -1.93 331.21 15.47
## 495 Utilities 6.42 0.70 7.76 10.63
## 496 Insurance 3.65 0.49 32.70 7.55
## 497 Materials 4.15 0.58 9.45 20.96
## 498 Oil & gas operations 5.91 1.02 9.09 7.86
## 499 Diversified financials 5.19 0.21 50.03 7.89
## 500 Banking 22.43 -0.31 437.86 11.00
## 501 Chemicals 6.54 0.40 9.79 11.43
## 502 Transportation 5.84 0.44 9.88 11.49
## 503 Banking 2.81 0.63 42.63 8.25
## 504 Diversified financials 3.80 0.51 19.17 8.95
## 505 Banking 3.54 0.45 50.48 6.61
## 506 Chemicals 5.61 0.59 8.31 11.61
## 507 Food drink & tobacco 6.88 0.65 6.74 11.37
## 508 Banking 3.47 0.47 62.24 6.02
## 509 Telecommunications services 10.89 0.28 16.72 5.47
## 510 Oil & gas operations 4.87 0.84 7.95 11.55
## 511 Insurance 9.37 0.28 27.45 4.61
## 512 Construction 9.19 0.70 7.17 7.07
## 513 Household & personal products 5.69 0.66 5.64 17.95
## 514 Retailing 12.73 0.57 4.45 11.62
## 515 Banking 2.51 0.53 42.08 9.76
## 516 Food drink & tobacco 7.73 0.52 7.42 8.80
## 517 Banking 2.94 0.45 42.66 8.07
## 518 Consumer durables 6.28 0.64 7.18 10.07
## 519 Utilities 4.59 0.51 14.32 7.53
## 520 Banking 2.75 0.53 33.75 8.78
## 521 Hotels restaurants & leisure 8.38 0.62 5.62 10.39
## 522 Diversified financials 4.99 0.43 34.06 4.46
## 523 Aerospace & defense 8.17 0.21 17.52 7.70
## 524 Technology hardware & equipment 39.06 -1.03 33.77 12.32
## 525 Capital goods 8.06 0.39 8.22 9.05
## 526 Conglomerates 5.91 0.58 7.44 10.34
## 527 Diversified financials 0.31 1.14 25.80 22.05
## 528 Media 10.59 0.25 10.91 7.81
## 529 Food markets 70.57 -1.27 25.51 13.30
## 530 Utilities 6.13 0.36 15.71 6.35
## 531 Capital goods 5.29 0.54 6.89 14.21
## 532 Consumer durables 4.26 0.57 9.06 12.80
## 533 Oil & gas operations 8.85 0.48 6.31 9.29
## 534 Household & personal products 7.32 0.53 5.87 11.86
## 535 Insurance 16.10 -0.72 77.79 11.98
## 536 Materials 3.21 0.51 11.05 19.73
## 537 Construction 10.84 0.29 10.19 6.88
## 538 Technology hardware & equipment 39.72 -0.21 29.93 12.22
## 539 Retailing 18.20 0.49 8.22 4.49
## 540 Business services & supplies 18.17 0.26 6.13 10.22
## 541 Banking 2.62 0.37 40.74 10.78
## 542 Diversified financials 5.07 0.44 16.32 6.01
## 543 Food drink & tobacco 9.47 0.42 8.17 6.88
## 544 Chemicals 15.97 0.18 17.13 5.71
## 545 Technology hardware & equipment 16.79 -2.19 21.16 44.06
## 546 Banking 4.30 0.34 55.51 4.85
## 547 Food markets 8.41 0.48 5.69 10.99
## 548 Household & personal products 3.95 0.79 7.72 13.98
## 549 Construction 9.05 0.62 8.07 5.71
## 550 Construction 8.66 0.69 6.22 7.38
## 551 Materials 23.26 -0.44 31.14 13.38
## 552 Consumer durables 58.22 -4.15 96.92 6.92
## 553 Utilities 9.09 0.16 22.19 7.35
## 554 Diversified financials 3.97 0.27 33.38 7.56
## 555 Utilities 6.85 0.40 13.00 5.79
## 556 Transportation 7.79 0.19 21.75 6.76
## 557 Insurance 7.26 0.84 7.40 6.37
## 558 Drugs & biotechnology 4.49 0.82 5.81 15.75
## 559 Banking 10.08 0.11 140.13 5.78
## 560 Capital goods 9.17 0.25 12.67 6.61
## 561 Technology hardware & equipment 17.38 -4.98 25.58 20.43
## 562 Chemicals 9.40 0.26 12.36 6.31
## 563 Banking 8.97 -7.09 358.44 13.41
## 564 Transportation 3.00 0.59 14.77 10.69
## 565 Food drink & tobacco 22.17 0.41 9.88 3.69
## 566 Banking 4.23 0.31 23.73 6.68
## 567 Transportation 3.89 0.36 12.04 11.74
## 568 Utilities 15.58 -0.16 36.08 13.21
## 569 Business services & supplies 4.58 0.50 8.89 9.62
## 570 Retailing 18.61 1.15 19.01 0.94
## 571 Consumer durables 11.91 0.41 10.16 4.41
## 572 Utilities 9.31 0.20 17.55 5.78
## 573 Oil & gas operations 3.19 1.12 7.38 16.96
## 574 Chemicals 4.96 0.40 9.47 9.27
## 575 Utilities 4.42 0.45 13.63 6.85
## 576 Media 4.83 0.66 5.25 14.63
## 577 Telecommunications services 12.38 -10.02 26.36 20.64
## 578 Banking 3.47 0.22 56.65 7.51
## 579 Chemicals 6.42 0.29 9.45 8.82
## 580 Food markets 17.52 0.33 5.32 7.34
## 581 Chemicals 6.19 0.36 8.03 8.68
## 582 Diversified financials 3.47 0.51 15.63 7.40
## 583 Media 6.29 0.14 15.53 13.57
## 584 Drugs & biotechnology 6.07 0.56 5.66 9.95
## 585 Consumer durables 4.62 0.76 4.92 16.07
## 586 Capital goods 30.79 -0.10 26.24 10.28
## 587 Materials 3.08 0.58 9.69 14.48
## 588 Consumer durables 9.05 0.19 13.94 7.08
## 589 Oil & gas operations 4.89 0.33 8.82 11.10
## 590 Consumer durables 15.75 0.38 8.57 4.35
## 591 Utilities 4.33 0.29 15.78 7.74
## 592 Utilities 3.35 0.91 7.79 11.99
## 593 Chemicals 7.08 0.29 9.86 7.32
## 594 Food markets 17.74 0.44 3.85 9.14
## 595 Materials 25.77 -0.20 25.54 10.23
## 596 Food markets 23.66 0.19 11.37 4.91
## 597 Insurance 8.59 -0.27 37.90 19.46
## 598 Banking 4.02 0.20 66.12 5.73
## 599 Consumer durables 12.18 0.42 7.36 5.00
## 600 Drugs & biotechnology 4.29 0.51 7.32 11.02
## 601 Retailing 6.39 0.85 3.40 22.29
## 602 Insurance 6.92 0.32 22.87 3.51
## 603 Capital goods 8.57 0.41 5.89 7.70
## 604 Food drink & tobacco 4.31 0.54 7.78 8.98
## 605 Food markets 13.65 0.27 7.81 5.79
## 606 Construction 5.29 0.48 11.78 5.11
## 607 Utilities 8.02 0.25 9.91 6.71
## 608 Banking 3.71 0.23 51.82 5.73
## 609 Utilities 17.80 0.10 30.30 5.25
## 610 Health care equipment & services 4.53 0.55 5.57 12.35
## 611 Banking 2.66 0.45 35.78 5.99
## 612 Capital goods 6.20 0.45 6.37 7.79
## 613 Materials 4.07 0.52 7.43 10.34
## 614 Banking 2.45 0.40 43.51 6.69
## 615 Aerospace & defense 11.67 0.12 19.13 6.68
## 616 Transportation 14.19 0.20 9.97 5.58
## 617 Health care equipment & services 3.48 0.47 5.70 34.90
## 618 Telecommunications services 4.53 0.41 9.30 7.69
## 619 Construction 5.83 0.30 10.93 6.00
## 620 Food markets 7.40 0.35 8.24 5.91
## 621 Insurance 14.41 -0.25 43.23 8.09
## 622 Media 10.12 -0.30 18.95 23.56
## 623 Media 4.00 0.43 10.82 7.37
## 624 Transportation 12.15 0.11 20.33 6.36
## 625 Utilities 9.36 0.29 20.06 3.16
## 626 Banking 1.99 0.38 48.40 9.66
## 627 Food drink & tobacco 4.45 0.43 7.92 8.44
## 628 Banking 3.04 0.31 27.01 6.67
## 629 Chemicals 7.61 0.29 11.82 4.64
## 630 Food drink & tobacco 5.52 0.22 13.42 6.71
## 631 Banking 4.83 0.49 56.06 2.55
## 632 Chemicals 9.86 0.29 8.80 5.04
## 633 Drugs & biotechnology 7.85 0.21 7.69 9.06
## 634 Food drink & tobacco 8.36 0.28 7.02 7.42
## 635 Capital goods 11.26 0.19 9.37 6.54
## 636 Consumer durables 20.00 0.20 13.80 3.44
## 637 Oil & gas operations 15.87 0.31 6.93 4.51
## 638 Insurance 1.47 0.61 30.27 9.35
## 639 Hotels restaurants & leisure 3.94 0.31 11.89 7.80
## 640 Oil & gas operations 3.75 0.54 10.52 6.62
## 641 Transportation 4.24 0.51 9.18 6.53
## 642 Consumer durables 19.24 -0.62 21.65 9.43
## 643 Capital goods 18.87 0.14 11.82 5.35
## 644 Consumer durables 11.98 0.24 8.50 5.22
## 645 Food drink & tobacco 9.18 0.36 6.99 5.33
## 646 Food markets 35.55 -0.17 15.12 9.92
## 647 Software & services 21.48 -0.27 18.28 9.98
## 648 Aerospace & defense 13.00 -1.10 24.94 10.11
## 649 Consumer durables 11.61 0.28 11.09 3.55
## 650 Oil & gas operations 16.27 -0.81 15.47 13.86
## 651 Retailing 12.36 0.30 6.15 5.42
## 652 Utilities 9.91 -1.80 27.76 11.46
## 653 Insurance 20.61 -1.51 86.56 5.20
## 654 Business services & supplies 4.43 0.30 8.90 8.60
## 655 Technology hardware & equipment 7.44 0.49 3.81 11.64
## 656 Banking 3.28 0.27 63.86 4.49
## 657 Banking 2.40 0.50 31.91 5.67
## 658 Utilities 3.59 0.50 10.87 6.49
## 659 Transportation 2.46 0.56 8.13 20.61
## 660 Transportation 8.22 0.41 5.37 6.65
## 661 Household & personal products 6.55 0.60 3.36 15.99
## 662 Banking 2.69 0.47 24.47 5.67
## 663 Transportation 17.63 0.10 18.03 5.99
## 664 Retailing 9.22 0.33 6.53 5.49
## 665 Capital goods 5.61 0.40 5.65 8.36
## 666 Diversified financials 5.22 0.23 18.59 4.86
## 667 Diversified financials 2.19 0.48 15.68 10.79
## 668 Technology hardware & equipment 6.67 0.74 4.04 7.90
## 669 Transportation 7.66 0.23 11.42 4.92
## 670 Drugs & biotechnology 4.82 0.29 7.50 9.23
## 671 Banking 9.61 -0.30 146.67 6.36
## 672 Diversified financials 2.75 0.56 7.42 14.54
## 673 Materials 10.36 0.14 17.44 4.60
## 674 Telecommunications services 6.85 -0.93 21.97 22.51
## 675 Hotels restaurants & leisure 3.78 0.28 11.32 8.09
## 676 Banking 2.41 0.39 21.02 7.55
## 677 Telecommunications services 12.69 -0.66 21.85 9.54
## 678 Conglomerates 5.63 0.40 5.95 7.10
## 679 Oil & gas operations 36.59 -2.02 34.91 4.99
## 680 Insurance 4.11 0.43 12.68 4.82
## 681 Capital goods 5.45 0.32 7.56 6.58
## 682 Diversified financials 3.44 0.26 25.79 5.30
## 683 Utilities 10.77 -4.09 30.77 7.89
## 684 Construction 6.90 0.26 11.55 4.39
## 685 Banking 5.74 0.10 86.49 5.90
## 686 Aerospace & defense 15.55 -0.40 18.61 8.68
## 687 Telecommunications services 7.70 -16.03 21.12 14.69
## 688 Banking 3.75 0.40 27.75 3.33
## 689 Health care equipment & services 19.31 0.25 5.75 4.68
## 690 Technology hardware & equipment 11.20 -1.45 12.22 18.51
## 691 Media 5.67 -0.14 24.42 20.48
## 692 Semiconductors 2.96 0.45 6.76 13.52
## 693 Hotels restaurants & leisure 12.84 0.18 8.81 5.08
## 694 Insurance 3.06 0.30 14.96 6.95
## 695 Technology hardware & equipment 8.65 -0.17 15.42 18.36
## 696 Business services & supplies 5.59 0.50 4.83 6.89
## 697 Household & personal products 4.96 0.54 4.51 8.07
## 698 Business services & supplies 3.34 0.33 6.97 13.07
## 699 Consumer durables 28.10 -0.06 20.90 5.93
## 700 Insurance 15.75 -1.23 113.34 4.26
## 701 Transportation 13.82 0.13 13.61 4.42
## 702 Banking 2.41 0.36 30.10 5.26
## 703 Food markets 19.78 0.25 6.12 3.93
## 704 Diversified financials 4.75 0.53 29.86 2.26
## 705 Diversified financials 1.95 0.69 12.46 9.94
## 706 Business services & supplies 3.66 0.65 4.46 10.64
## 707 Transportation 2.82 0.28 13.78 8.23
## 708 Health care equipment & services 3.70 0.33 4.64 19.51
## 709 Insurance 1.27 0.62 16.75 8.15
## 710 Construction 10.96 -0.03 14.73 10.75
## 711 Media 4.49 0.18 11.10 7.68
## 712 Chemicals 5.36 0.28 8.41 5.46
## 713 Materials 10.26 0.10 13.52 6.35
## 714 Insurance 2.88 0.43 13.22 5.66
## 715 Utilities 7.37 0.22 13.11 3.59
## 716 Hotels restaurants & leisure 8.82 0.16 8.17 6.48
## 717 Retailing 11.50 0.22 10.70 3.19
## 718 Utilities 2.97 0.44 13.26 5.16
## 719 Construction 13.91 0.13 15.41 3.66
## 720 Oil & gas operations 7.44 0.33 6.30 4.45
## 721 Health care equipment & services 4.74 0.44 4.30 8.51
## 722 Insurance 10.53 -0.50 55.20 4.87
## 723 Media 5.27 0.32 3.03 27.26
## 724 Insurance 3.81 0.30 14.97 4.24
## 725 Technology hardware & equipment 11.19 0.11 10.05 7.06
## 726 Banking 5.30 0.29 21.29 2.77
## 727 Hotels restaurants & leisure 3.91 0.24 10.71 6.15
## 728 Utilities 4.95 0.22 11.96 4.65
## 729 Consumer durables 11.61 0.23 7.54 3.65
## 730 Retailing 2.17 0.45 5.82 44.31
## 731 Retailing 5.52 0.53 3.72 7.75
## 732 Banking 0.91 0.32 23.44 8.35
## 733 Conglomerates 5.00 0.36 4.27 8.33
## 734 Chemicals 8.91 0.17 10.04 4.29
## 735 Construction 5.77 0.29 7.14 4.99
## 736 Transportation 10.57 0.12 10.81 5.22
## 737 Diversified financials 2.71 0.28 40.81 3.92
## 738 Food drink & tobacco 3.80 0.41 5.47 7.75
## 739 Materials 3.13 0.49 5.79 8.60
## 740 Transportation 11.72 0.03 20.86 6.16
## 741 Consumer durables 8.36 0.36 4.05 5.90
## 742 Business services & supplies 5.33 0.22 6.31 7.09
## 743 Capital goods 6.52 0.21 5.80 6.84
## 744 Food drink & tobacco 3.49 0.41 5.61 8.29
## 745 Materials 7.22 0.24 6.31 5.20
## 746 Banking 4.48 0.90 19.83 1.86
## 747 Household & personal products 5.88 0.38 3.44 9.94
## 748 Banking 1.44 0.22 44.01 8.11
## 749 Banking 1.74 0.47 22.99 6.24
## 750 Business services & supplies 9.45 0.30 4.47 5.03
## 751 Insurance 5.21 0.29 24.05 2.49
## 752 Insurance 1.83 0.41 26.36 6.20
## 753 Household & personal products 5.43 0.31 3.97 9.47
## 754 Banking 4.16 -0.62 131.13 8.06
## 755 Transportation 0.99 0.54 12.96 8.46
## 756 Media 7.62 -0.27 19.09 8.52
## 757 Telecommunications services 5.54 0.14 10.92 6.22
## 758 Insurance 10.22 0.06 49.34 4.36
## 759 Construction 7.98 0.16 7.83 5.55
## 760 Business services & supplies 4.75 0.44 3.45 10.76
## 761 Insurance 9.42 0.05 50.55 4.43
## 762 Technology hardware & equipment 6.74 0.14 6.97 8.50
## 763 Household & personal products 4.28 0.47 3.24 13.52
## 764 Household & personal products 7.89 0.33 4.30 5.32
## 765 Utilities 8.42 -0.44 29.61 5.68
## 766 Diversified financials 1.69 0.36 14.23 9.37
## 767 Banking 1.27 0.40 20.96 6.67
## 768 Business services & supplies 13.82 -0.35 9.51 9.68
## 769 Oil & gas operations 7.93 -3.22 42.68 5.14
## 770 Household & personal products 4.17 0.50 3.60 10.17
## 771 Utilities 9.20 -0.19 18.26 6.88
## 772 Insurance 5.40 NA 42.94 6.70
## 773 Conglomerates 2.86 0.50 7.33 6.45
## 774 Diversified financials 2.16 0.17 47.54 7.10
## 775 Health care equipment & services 9.07 0.29 2.47 8.06
## 776 Oil & gas operations 5.29 0.13 6.30 12.12
## 777 Drugs & biotechnology 3.95 0.35 4.85 7.85
## 778 Food drink & tobacco 4.17 0.46 3.58 10.26
## 779 Diversified financials 1.82 0.54 11.47 8.04
## 780 Transportation 11.03 -0.43 19.18 5.62
## 781 Utilities 2.23 0.47 6.09 13.07
## 782 Hotels restaurants & leisure 4.08 0.31 6.45 5.72
## 783 Health care equipment & services 3.63 0.45 3.16 17.99
## 784 Insurance 3.18 0.44 9.56 4.36
## 785 Media 2.45 -0.98 55.88 32.69
## 786 Health care equipment & services 15.02 0.20 3.76 6.01
## 787 Capital goods 12.60 -0.17 13.46 6.38
## 788 Banking 1.99 0.30 38.38 4.77
## 789 Aerospace & defense 9.32 0.09 11.61 6.69
## 790 Retailing 16.61 0.17 10.72 2.62
## 791 Telecommunications services 2.40 0.93 4.74 9.18
## 792 Drugs & biotechnology 2.52 0.41 4.63 17.17
## 793 Telecommunications services 4.76 0.21 6.64 6.10
## 794 Insurance 3.87 0.47 10.90 3.03
## 795 Banking 1.89 0.34 28.56 5.25
## 796 Health care equipment & services 15.17 -0.40 13.48 5.68
## 797 Insurance 8.87 -0.22 26.57 4.98
## 798 Semiconductors 7.18 -0.51 11.79 10.73
## 799 Utilities 4.39 0.22 11.85 3.76
## 800 Hotels restaurants & leisure 21.33 0.03 16.00 4.28
## 801 Transportation 7.70 0.12 8.82 5.50
## 802 Health care equipment & services 12.10 0.23 5.29 3.51
## 803 Banking 1.44 0.30 29.74 5.53
## 804 Oil & gas operations 11.97 0.32 4.70 3.22
## 805 Food drink & tobacco 3.19 0.31 6.29 7.16
## 806 Banking 1.58 0.34 25.74 5.39
## 807 Conglomerates 4.35 0.23 4.93 8.25
## 808 Utilities 5.40 -0.73 19.11 8.43
## 809 Aerospace & defense 4.89 0.26 5.82 5.33
## 810 Materials 4.64 0.16 21.35 3.41
## 811 Utilities 1.49 0.88 7.26 9.04
## 812 Insurance 6.12 -0.11 49.37 4.75
## 813 Software & services 5.91 0.26 5.47 4.78
## 814 Banking 1.57 0.31 22.89 5.95
## 815 Diversified financials 3.28 -0.05 79.82 8.75
## 816 Oil & gas operations 2.78 0.32 7.38 7.17
## 817 Semiconductors 4.48 -0.15 10.31 36.61
## 818 Hotels restaurants & leisure 4.35 0.30 3.08 14.54
## 819 Retailing 4.23 0.36 2.78 12.34
## 820 Banking 2.57 0.24 22.94 4.22
## 821 Insurance 1.72 0.30 34.88 4.69
## 822 Oil & gas operations 4.97 0.30 4.62 5.64
## 823 Drugs & biotechnology 2.43 0.72 3.23 27.26
## 824 Software & services 4.03 0.50 3.86 6.76
## 825 Software & services 2.70 0.32 7.21 7.54
## 826 Retailing 6.67 0.31 2.59 7.68
## 827 Banking 1.81 0.34 26.16 4.98
## 828 Insurance 9.10 0.12 20.86 2.84
## 829 Food drink & tobacco 5.09 0.27 5.79 4.69
## 830 Semiconductors 2.18 0.20 9.29 14.66
## 831 Aerospace & defense 3.61 0.33 7.01 4.87
## 832 Health care equipment & services 12.92 0.24 3.29 5.54
## 833 Construction 15.86 0.09 16.41 3.40
## 834 Food markets 7.07 0.30 3.28 6.76
## 835 Utilities 9.33 0.12 26.04 2.50
## 836 Utilities 4.03 0.26 9.33 3.92
## 837 Food drink & tobacco 6.70 0.12 10.50 4.66
## 838 Banking 2.32 0.14 89.11 4.91
## 839 Transportation 8.69 0.25 14.16 0.96
## 840 Media 7.54 0.14 2.51 20.46
## 841 Capital goods 5.75 0.28 5.05 4.41
## 842 Telecommunications services 2.59 0.28 7.30 8.42
## 843 Household & personal products 5.13 0.37 4.28 4.83
## 844 Insurance 6.69 0.11 20.21 3.47
## 845 Media 6.96 -0.18 10.97 8.85
## 846 Utilities 4.65 0.21 10.54 3.43
## 847 Media 3.07 0.15 10.98 7.15
## 848 Consumer durables 5.01 0.31 4.16 5.48
## 849 Insurance 9.38 0.04 29.83 3.57
## 850 Banking 1.98 0.19 26.56 6.32
## 851 Conglomerates 5.00 0.21 7.14 4.25
## 852 Chemicals 10.10 -0.57 9.96 6.90
## 853 Oil & gas operations 2.22 0.37 8.50 6.80
## 854 Consumer durables 9.64 0.15 9.48 3.17
## 855 Banking 2.05 0.18 30.17 5.88
## 856 Oil & gas operations 10.16 0.31 3.84 3.61
## 857 Utilities 4.08 0.18 13.09 3.74
## 858 Media 2.39 0.38 4.34 13.93
## 859 Hotels restaurants & leisure 2.25 0.48 4.34 13.01
## 860 Diversified financials 0.98 0.29 10.95 8.86
## 861 Health care equipment & services 7.89 0.15 9.28 3.32
## 862 Materials 9.86 0.04 13.55 5.22
## 863 Insurance 1.98 0.41 11.43 5.67
## 864 Software & services 2.82 0.50 3.34 13.28
## 865 Trading companies 21.80 0.16 8.07 2.46
## 866 Utilities 7.45 0.04 15.70 5.63
## 867 Utilities 1.10 0.38 9.98 7.43
## 868 Diversified financials 2.01 0.20 26.04 5.40
## 869 Diversified financials 7.46 -0.38 117.96 2.98
## 870 Conglomerates 4.92 0.18 4.81 6.89
## 871 Food drink & tobacco 3.07 0.45 2.52 12.74
## 872 Capital goods 23.26 -1.50 25.03 2.70
## 873 Business services & supplies 4.76 0.27 4.11 6.04
## 874 Semiconductors 2.19 0.36 4.30 18.83
## 875 Banking 0.81 0.21 17.03 7.43
## 876 Diversified financials 4.75 0.30 16.34 0.21
## 877 Construction 4.64 0.19 5.16 6.24
## 878 Household & personal products 5.26 0.21 5.23 4.95
## 879 Diversified financials 1.41 0.45 11.00 5.65
## 880 Retailing 6.31 0.20 4.37 5.42
## 881 Consumer durables 10.64 0.03 10.20 5.74
## 882 Business services & supplies 7.57 0.17 4.12 6.08
## 883 Diversified financials 11.10 0.04 12.04 4.80
## 884 Oil & gas operations 4.55 0.49 7.14 2.63
## 885 Diversified financials 1.45 0.30 10.39 7.90
## 886 Food drink & tobacco 3.48 0.23 7.67 4.82
## 887 Health care equipment & services 12.92 0.18 5.12 3.29
## 888 Insurance 3.38 0.16 11.44 5.14
## 889 Construction 2.97 0.26 5.18 7.90
## 890 Household & personal products 3.55 0.34 3.77 7.79
## 891 Banking 4.03 0.10 55.11 3.28
## 892 Insurance 3.44 0.32 8.88 3.34
## 893 Capital goods 4.14 0.31 4.04 6.07
## 894 Capital goods 9.22 0.03 10.50 5.84
## 895 Telecommunications services 6.71 -10.32 11.59 6.74
## 896 Telecommunications services 2.64 0.42 4.55 7.48
## 897 Banking 0.74 0.25 25.56 4.72
## 898 Consumer durables 8.57 0.22 5.72 3.10
## 899 Technology hardware & equipment 6.06 -1.79 6.30 17.80
## 900 Drugs & biotechnology 2.17 0.42 4.40 11.93
## 901 Technology hardware & equipment 10.79 -0.11 7.76 6.80
## 902 Capital goods 4.06 0.27 4.90 5.24
## 903 Banking 1.13 0.26 16.95 5.58
## 904 Capital goods 1.81 0.33 5.94 13.46
## 905 Health care equipment & services 4.77 0.21 4.98 5.24
## 906 Media 5.46 -0.50 6.61 18.86
## 907 Utilities 3.34 0.29 7.79 3.91
## 908 Retailing 5.28 0.32 3.64 5.15
## 909 Business services & supplies 5.40 0.16 13.79 2.74
## 910 Food drink & tobacco 4.73 0.28 6.28 3.40
## 911 Software & services 1.63 0.24 5.93 30.50
## 912 Health care equipment & services 10.44 0.24 4.62 2.98
## 913 Diversified financials 0.78 0.42 9.49 6.13
## 914 Software & services 2.87 0.37 4.00 8.48
## 915 Materials 2.06 0.23 7.66 11.24
## 916 Construction 13.11 0.06 15.18 3.48
## 917 Materials 7.55 0.00 12.49 5.50
## 918 Business services & supplies 5.15 0.10 5.95 9.10
## 919 Construction 11.34 0.03 16.11 3.47
## 920 Insurance 4.54 0.21 8.87 3.16
## 921 Chemicals 2.51 0.32 5.21 7.50
## 922 Transportation 10.29 -0.24 11.78 4.43
## 923 Diversified financials 2.41 -0.18 48.16 9.74
## 924 Diversified financials 2.78 0.20 14.28 3.92
## 925 Media 2.42 0.19 9.71 6.67
## 926 Banking 9.43 -0.74 182.69 2.30
## 927 Transportation 17.15 -1.65 29.94 2.42
## 928 Business services & supplies 3.60 0.46 2.79 6.91
## 929 Banking 5.49 0.04 54.39 3.28
## 930 Media 5.90 -0.33 11.27 6.64
## 931 Household & personal products 4.36 0.34 4.06 4.59
## 932 Diversified financials 1.80 0.20 19.52 5.73
## 933 Household & personal products 3.21 0.36 3.38 8.78
## 934 Household & personal products 8.74 0.05 10.58 5.30
## 935 Trading companies 54.72 -1.00 26.80 0.88
## 936 Materials 10.19 0.01 15.50 3.49
## 937 Conglomerates 5.00 0.20 6.06 3.70
## 938 Transportation 2.82 0.31 7.68 4.05
## 939 Consumer durables 5.00 0.22 4.73 4.18
## 940 Hotels restaurants & leisure 3.45 0.14 8.34 6.06
## 941 Banking 1.14 0.15 33.64 5.46
## 942 Insurance 9.48 0.01 54.64 2.39
## 943 Construction 10.02 -0.77 8.06 5.64
## 944 Diversified financials 1.27 0.31 9.08 6.61
## 945 Diversified financials 1.59 0.37 5.82 9.01
## 946 Consumer durables 6.03 0.14 5.17 5.21
## 947 Diversified financials 0.72 0.22 14.30 5.81
## 948 Retailing 4.89 0.25 2.04 6.63
## 949 Diversified financials 0.69 0.19 14.21 7.05
## 950 Insurance 6.54 -0.07 21.17 3.65
## 951 Diversified financials 3.39 0.24 6.45 4.34
## 952 Insurance 5.87 0.12 15.45 2.73
## 953 Retailing 3.63 0.35 1.56 7.24
## 954 Drugs & biotechnology 3.23 0.24 4.17 7.71
## 955 Banking 2.79 0.14 46.07 2.93
## 956 Diversified financials 0.90 0.44 8.78 5.26
## 957 Software & services 1.77 0.28 5.40 14.02
## 958 Household & personal products 7.75 -0.05 7.48 6.94
## 959 Diversified financials 2.31 0.06 37.70 9.34
## 960 Consumer durables 4.48 0.29 4.22 4.11
## 961 Technology hardware & equipment 4.12 0.31 2.88 6.47
## 962 Banking 1.33 0.23 22.78 4.19
## 963 Retailing 4.66 0.15 5.94 4.95
## 964 Insurance 3.58 0.13 15.76 3.38
## 965 Banking 3.42 -0.82 102.63 4.05
## 966 Materials 2.65 0.15 9.01 6.89
## 967 Hotels restaurants & leisure 4.88 0.05 8.55 8.86
## 968 Technology hardware & equipment 3.09 -0.22 10.75 16.67
## 969 Software & services 3.24 -0.16 10.20 15.89
## 970 Construction 16.77 -0.10 8.84 3.72
## 971 Capital goods 4.84 0.18 3.98 6.00
## 972 Capital goods 7.84 -0.07 9.01 5.58
## 973 Transportation 7.42 0.19 3.94 4.30
## 974 Insurance 1.78 0.49 5.92 6.55
## 975 Telecommunications services 2.38 0.34 7.90 3.95
## 976 Banking 1.25 0.19 22.71 4.53
## 977 Construction 7.25 0.11 7.73 3.57
## 978 Insurance 3.49 0.10 10.83 5.94
## 979 Banking 2.12 0.14 31.48 4.35
## 980 Chemicals 2.20 0.29 5.02 8.28
## 981 Technology hardware & equipment 11.04 -3.51 6.70 5.52
## 982 Business services & supplies 12.18 0.14 4.38 3.45
## 983 Materials 11.57 -0.74 10.14 3.62
## 984 Telecommunications services 4.46 -0.15 10.85 6.95
## 985 Chemicals 3.76 0.28 3.23 7.04
## 986 Insurance 6.25 -0.46 40.52 2.72
## 987 Chemicals 4.40 -0.11 9.18 8.30
## 988 Retailing 4.66 0.28 2.22 5.43
## 989 Media 2.97 0.30 3.69 7.14
## 990 Utilities 2.93 0.16 9.57 4.66
## 991 Diversified financials 1.31 0.37 8.55 5.04
## 992 Banking 1.49 0.11 69.10 5.26
## 993 Health care equipment & services 5.35 0.35 2.16 3.84
## 994 Banking 1.58 0.26 16.58 3.69
## 995 Materials 7.73 -0.10 10.31 4.35
## 996 Consumer durables 5.32 0.16 5.27 3.76
## 997 Household & personal products 4.73 0.14 4.24 6.49
## 998 Oil & gas operations 6.26 0.16 4.25 4.39
## 999 Diversified financials 1.16 0.25 8.86 6.52
## 1000 Utilities 6.73 0.13 10.97 2.48
## 1001 Utilities 6.17 0.25 7.87 1.76
## 1002 Oil & gas operations 5.16 0.29 4.20 3.15
## 1003 Insurance 5.98 0.44 4.28 2.36
## 1004 Diversified financials 4.52 0.04 16.92 4.42
## 1005 Banking 1.33 0.25 17.57 3.58
## 1006 Retailing 29.89 0.07 18.39 1.98
## 1007 Transportation 5.80 0.09 13.24 3.25
## 1008 Software & services 1.70 0.32 4.18 12.52
## 1009 Media 2.69 0.25 3.81 8.67
## 1010 Materials 6.90 0.22 7.78 1.60
## 1011 Household & personal products 4.92 0.20 4.09 4.18
## 1012 Conglomerates 5.07 0.28 3.73 3.61
## 1013 Construction 5.59 0.36 4.12 2.68
## 1014 Drugs & biotechnology 2.74 0.34 2.31 8.22
## 1015 Health care equipment & services 2.48 0.29 3.41 10.51
## 1016 Banking 2.16 0.22 31.67 2.57
## 1017 Materials 5.16 0.18 5.93 3.14
## 1018 Diversified financials 0.45 0.19 8.55 8.27
## 1019 Media 5.76 -0.65 5.33 9.63
## 1020 Hotels restaurants & leisure 4.66 0.11 9.55 3.62
## 1021 Materials 4.98 0.23 4.07 3.61
## 1022 Media 2.68 0.29 4.09 6.14
## 1023 Diversified financials 2.85 3.27 6.45 0.36
## 1024 Software & services 3.44 -0.85 7.73 13.17
## 1025 Transportation 12.71 -0.81 25.76 1.21
## 1026 Media 2.81 0.16 5.82 6.52
## 1027 Consumer durables 4.39 0.21 3.89 4.66
## 1028 Drugs & biotechnology 2.32 0.30 4.71 5.83
## 1029 Diversified financials 1.23 0.25 6.86 7.10
## 1030 Materials 3.53 0.24 4.70 4.03
## 1031 Banking 3.41 0.09 51.90 2.80
## 1032 Health care equipment & services 10.93 0.19 3.45 3.23
## 1033 Banking 2.44 0.13 37.76 2.94
## 1034 Diversified financials 7.57 -0.08 56.44 1.89
## 1035 Oil & gas operations 18.30 0.03 13.45 2.34
## 1036 Construction 3.59 0.17 6.11 4.13
## 1037 Diversified financials 7.06 -0.06 11.44 3.57
## 1038 Banking 0.86 0.32 10.39 3.69
## 1039 Transportation 13.58 -3.78 22.37 0.18
## 1040 Utilities 11.23 -2.00 16.62 2.37
## 1041 Banking 0.61 0.22 15.63 3.65
## 1042 Food drink & tobacco 3.32 0.21 5.62 3.77
## 1043 Banking 1.58 0.15 29.01 3.85
## 1044 Food drink & tobacco 5.27 -3.57 9.68 4.99
## 1045 Diversified financials 1.46 0.30 8.10 4.74
## 1046 Hotels restaurants & leisure 2.83 0.24 5.54 4.23
## 1047 Banking 1.13 0.19 24.55 3.36
## 1048 Utilities 2.95 0.18 9.11 3.43
## 1049 Diversified financials 3.50 0.23 5.94 3.17
## 1050 Banking 1.18 0.20 22.46 3.30
## 1051 Conglomerates 1.11 1.11 3.89 5.62
## 1052 Media 1.19 0.13 8.01 11.84
## 1053 Semiconductors 1.23 0.35 2.60 17.32
## 1054 Materials 9.33 -0.41 7.83 3.69
## 1055 Software & services 7.40 -0.54 5.44 6.27
## 1056 Diversified financials 1.78 0.25 6.81 6.11
## 1057 Health care equipment & services 1.57 0.33 1.24 18.74
## 1058 Construction 2.82 0.32 3.80 5.15
## 1059 Banking 1.37 0.17 30.05 3.26
## 1060 Transportation 0.80 0.21 6.78 7.43
## 1061 Food drink & tobacco 2.07 0.43 3.06 9.57
## 1062 Materials 2.21 0.20 4.72 8.24
## 1063 Technology hardware & equipment 3.31 0.29 2.68 5.72
## 1064 Health care equipment & services 2.94 0.32 3.41 5.58
## 1065 Materials 6.83 0.19 3.20 3.85
## 1066 Construction 4.56 0.17 4.34 4.02
## 1067 Business services & supplies 1.20 0.30 3.66 13.17
## 1068 Semiconductors 3.51 -0.96 7.55 9.59
## 1069 Capital goods 10.49 0.11 9.63 1.74
## 1070 Capital goods 4.63 0.23 2.60 4.41
## 1071 Materials 4.62 0.43 4.97 1.00
## 1072 Banking 3.66 0.10 39.59 2.24
## 1073 Oil & gas operations 4.41 0.28 3.99 3.08
## 1074 Insurance 1.37 0.48 5.25 4.72
## 1075 Transportation 4.71 0.17 4.85 3.34
## 1076 Banking 0.98 0.23 15.25 3.26
## 1077 Insurance 1.38 0.39 6.45 4.32
## 1078 Retailing 4.66 0.18 1.31 5.60
## 1079 Transportation 5.47 0.07 10.69 3.72
## 1080 Health care equipment & services 1.93 0.34 2.56 12.77
## 1081 Diversified financials 0.73 0.25 6.37 5.86
## 1082 Diversified financials 0.79 0.35 6.11 4.73
## 1083 Materials 4.14 0.03 7.27 7.31
## 1084 Diversified financials 0.63 0.20 11.33 4.23
## 1085 Insurance 5.68 NA 51.65 2.07
## 1086 Materials 5.84 0.17 6.57 2.32
## 1087 Food drink & tobacco 5.03 0.14 6.51 2.74
## 1088 Oil & gas operations 7.52 0.09 6.78 3.20
## 1089 Materials 3.69 0.14 7.63 3.32
## 1090 Banking 0.87 0.11 29.17 4.65
## 1091 Telecommunications services 3.50 NA 10.59 5.94
## 1092 Consumer durables 3.52 0.34 2.83 4.12
## 1093 Diversified financials 0.85 0.32 4.74 6.13
## 1094 Consumer durables 14.74 -1.44 14.60 1.53
## 1095 Household & personal products 4.20 0.26 2.55 4.04
## 1096 Construction 8.91 0.16 3.29 3.31
## 1097 Telecommunications services 2.46 0.24 3.54 7.54
## 1098 Oil & gas operations 4.18 -0.14 9.92 5.07
## 1099 Oil & gas operations 1.82 0.44 4.75 5.07
## 1100 Health care equipment & services 4.54 0.25 1.98 3.79
## 1101 Oil & gas operations 2.43 0.02 11.66 9.26
## 1102 Hotels restaurants & leisure 2.87 0.30 0.81 5.79
## 1103 Materials 5.97 0.13 10.24 1.66
## 1104 Banking 0.92 0.21 14.29 3.37
## 1105 Telecommunications services 3.28 0.01 8.76 7.58
## 1106 Retailing 5.66 0.21 3.43 3.34
## 1107 Banking 0.77 0.20 13.70 3.54
## 1108 Banking 1.06 0.22 11.32 3.67
## 1109 Diversified financials 2.01 0.15 26.96 2.95
## 1110 Media 3.44 0.36 3.04 3.85
## 1111 Insurance 4.45 0.03 8.63 5.09
## 1112 Diversified financials 0.99 0.95 4.33 3.84
## 1113 Health care equipment & services 8.97 0.14 5.27 2.42
## 1114 Diversified financials 5.63 -0.39 8.51 3.96
## 1115 Trading companies 6.30 -0.17 31.88 0.36
## 1116 Insurance 3.43 0.14 19.86 2.05
## 1117 Hotels restaurants & leisure 4.81 0.22 2.81 3.66
## 1118 Trading companies 34.77 0.06 9.50 1.52
## 1119 Aerospace & defense 4.38 0.12 5.95 3.57
## 1120 Retailing 16.34 0.02 6.34 2.94
## 1121 Diversified financials 0.46 0.32 5.79 4.60
## 1122 Health care equipment & services 2.71 0.30 3.34 5.48
## 1123 Drugs & biotechnology 1.72 0.23 4.20 9.60
## 1124 Consumer durables 11.04 -0.10 9.45 2.60
## 1125 Utilities 1.85 0.28 7.69 3.95
## 1126 Banking 1.70 0.28 13.03 2.77
## 1127 Utilities 0.88 0.40 2.59 9.37
## 1128 Chemicals 3.20 0.16 3.15 8.08
## 1129 Retailing 5.26 0.04 2.16 18.71
## 1130 Technology hardware & equipment 21.74 0.09 4.87 2.54
## 1131 Banking 1.02 0.16 17.64 3.48
## 1132 Transportation 3.55 0.01 9.88 5.52
## 1133 Banking 3.87 0.03 21.81 3.03
## 1134 Business services & supplies 1.44 0.27 1.54 13.63
## 1135 Telecommunications services 3.74 0.10 6.53 4.61
## 1136 Business services & supplies 14.41 -0.09 12.24 1.87
## 1137 Trading companies 4.78 0.14 1.03 5.60
## 1138 Business services & supplies 2.22 0.35 2.44 6.70
## 1139 Consumer durables 17.66 -1.21 10.96 1.47
## 1140 Food drink & tobacco 4.17 0.14 3.69 5.31
## 1141 Media 7.64 0.10 10.83 1.34
## 1142 Business services & supplies 1.17 0.35 0.79 9.68
## 1143 Telecommunications services 3.17 0.14 4.16 5.81
## 1144 Diversified financials 0.55 0.29 6.51 4.19
## 1145 Software & services 1.68 0.34 2.60 9.61
## 1146 Semiconductors 0.68 0.27 2.14 13.19
## 1147 Construction 3.68 0.42 1.36 3.13
## 1148 Banking 2.13 0.13 34.03 2.56
## 1149 Health care equipment & services 1.38 0.63 1.48 6.37
## 1150 Banking 1.25 0.15 24.00 3.13
## 1151 Retailing 25.80 -1.99 6.12 2.58
## 1152 Banking 2.46 0.20 18.94 1.92
## 1153 Oil & gas operations 1.88 0.19 5.59 6.89
## 1154 Retailing 3.79 0.21 1.56 4.55
## 1155 Media 1.80 0.26 4.65 6.46
## 1156 Semiconductors 3.90 -0.35 4.36 11.71
## 1157 Construction 4.39 1.24 1.53 1.32
## 1158 Health care equipment & services 1.49 0.31 1.75 10.22
## 1159 Banking 0.51 0.19 7.56 5.29
## 1160 Utilities 2.90 0.19 7.61 2.87
## 1161 Insurance 1.37 0.62 4.71 3.58
## 1162 Health care equipment & services 2.11 0.26 2.22 9.05
## 1163 Aerospace & defense 2.61 0.28 2.71 5.88
## 1164 Construction 4.19 0.31 3.66 2.71
## 1165 Health care equipment & services 1.13 0.28 1.53 11.54
## 1166 Oil & gas operations 16.10 0.03 10.52 1.36
## 1167 Retailing 9.99 0.11 7.31 2.07
## 1168 Household & personal products 4.44 0.15 4.13 3.48
## 1169 Telecommunications services 1.69 0.43 4.42 4.38
## 1170 Diversified financials 0.48 0.31 4.60 5.19
## 1171 Materials 4.31 0.20 2.12 3.83
## 1172 Materials 1.93 0.15 5.11 8.58
## 1173 Materials 3.55 0.30 3.18 3.46
## 1174 Insurance 1.90 0.18 23.30 2.56
## 1175 Retailing 4.66 0.19 2.70 3.62
## 1176 Semiconductors 1.30 0.22 2.80 14.31
## 1177 Health care equipment & services 3.50 0.19 3.40 4.61
## 1178 Diversified financials 0.87 0.02 183.47 3.97
## 1179 Chemicals 5.68 0.11 8.10 2.32
## 1180 Transportation 1.43 0.35 3.88 5.82
## 1181 Construction 7.85 0.05 11.69 2.36
## 1182 Consumer durables 7.32 -0.02 6.90 3.30
## 1183 Business services & supplies 2.49 0.22 4.40 4.13
## 1184 Utilities 2.18 0.16 7.27 4.28
## 1185 Construction 3.56 0.25 4.08 2.88
## 1186 Construction 2.89 0.21 3.64 4.69
## 1187 Chemicals 8.54 -0.13 6.45 3.18
## 1188 Construction 7.19 0.13 6.31 1.84
## 1189 Technology hardware & equipment 4.00 0.15 2.98 5.21
## 1190 Food drink & tobacco 1.74 0.49 1.61 6.08
## 1191 Health care equipment & services 5.38 0.20 3.04 3.04
## 1192 Household & personal products 2.53 0.31 2.58 4.73
## 1193 Telecommunications services 3.60 0.03 5.26 7.76
## 1194 Conglomerates 3.61 0.21 3.80 3.28
## 1195 Business services & supplies 2.14 0.26 2.69 7.49
## 1196 Hotels restaurants & leisure 3.15 0.24 3.16 4.41
## 1197 Chemicals 7.53 -0.18 8.72 2.67
## 1198 Food drink & tobacco 4.20 0.19 2.39 3.82
## 1199 Technology hardware & equipment 3.38 0.23 2.72 4.07
## 1200 Semiconductors 0.85 0.35 0.88 7.08
## 1201 Media 4.22 0.03 6.25 5.21
## 1202 Chemicals 3.71 0.24 2.93 3.53
## 1203 Materials 4.97 -0.19 5.88 4.50
## 1204 Conglomerates 4.95 0.13 6.96 2.21
## 1205 Food drink & tobacco 2.46 0.25 2.43 5.70
## 1206 Transportation 6.76 -0.40 10.62 2.51
## 1207 Software & services 1.29 0.27 1.56 9.19
## 1208 Banking 0.75 0.19 13.02 2.96
## 1209 Banking 1.53 -0.71 37.67 4.77
## 1210 Diversified financials 1.22 0.12 15.91 3.78
## 1211 Materials 1.86 0.40 2.57 6.55
## 1212 Technology hardware & equipment 5.60 0.06 5.50 4.31
## 1213 Retailing 5.06 0.19 3.78 2.64
## 1214 Materials 1.58 0.46 2.18 5.81
## 1215 Materials 3.39 0.17 6.49 2.55
## 1216 Insurance 3.89 0.12 10.08 2.31
## 1217 Oil & gas operations 2.45 0.13 4.93 5.73
## 1218 Diversified financials 1.13 0.20 6.42 4.44
## 1219 Trading companies 17.62 -0.57 7.99 1.12
## 1220 Materials 6.27 0.06 4.49 4.78
## 1221 Consumer durables 8.26 0.13 5.43 1.57
## 1222 Media 3.63 0.13 3.93 4.82
## 1223 Transportation 4.04 -0.76 14.09 2.86
## 1224 Materials 8.16 -0.23 11.71 2.15
## 1225 Utilities 8.58 -1.01 12.31 1.43
## 1226 Diversified financials 1.55 -0.77 38.48 4.47
## 1227 Retailing 2.65 0.18 1.88 6.70
## 1228 Conglomerates 4.80 0.26 4.22 1.31
## 1229 Retailing 10.03 0.03 6.80 2.59
## 1230 Retailing 6.96 0.09 9.51 2.13
## 1231 Construction 4.59 0.13 8.84 1.52
## 1232 Aerospace & defense 2.19 0.33 3.14 5.16
## 1233 Utilities 2.61 0.20 4.23 3.93
## 1234 Telecommunications services 3.35 -0.12 7.46 5.46
## 1235 Oil & gas operations 2.27 0.22 2.84 6.79
## 1236 Food markets 8.89 0.20 3.47 1.77
## 1237 Materials 3.86 -0.45 7.07 4.74
## 1238 Utilities 2.39 0.35 3.14 4.25
## 1239 Oil & gas operations 1.91 0.13 6.13 6.79
## 1240 Insurance 2.94 0.12 8.54 2.95
## 1241 Materials 2.03 0.17 3.85 8.17
## 1242 Semiconductors 3.52 -0.27 7.09 5.21
## 1243 Materials 5.89 0.07 7.12 3.19
## 1244 Utilities 2.91 0.20 6.09 2.60
## 1245 Capital goods 7.47 -0.21 9.19 2.45
## 1246 Diversified financials 0.65 0.14 9.29 4.21
## 1247 Media 4.79 -1.99 21.45 1.37
## 1248 Capital goods 8.62 -0.08 11.17 1.76
## 1249 Drugs & biotechnology 1.39 0.33 1.88 6.52
## 1250 Food drink & tobacco 4.17 0.04 5.32 5.35
## 1251 Capital goods 6.01 -0.96 9.91 2.52
## 1252 Capital goods 2.93 0.15 3.78 5.20
## 1253 Technology hardware & equipment 4.24 0.04 4.10 7.40
## 1254 Food drink & tobacco 4.36 0.21 3.82 2.53
## 1255 Construction 3.18 0.21 2.85 4.13
## 1256 Technology hardware & equipment 2.08 0.17 2.29 10.37
## 1257 Transportation 8.87 0.04 10.65 0.97
## 1258 Consumer durables 11.42 -1.22 8.61 1.44
## 1259 Telecommunications services 3.35 0.02 9.45 4.08
## 1260 Capital goods 7.93 -2.28 6.50 2.75
## 1261 Banking 1.82 0.28 14.05 2.02
## 1262 Media 1.79 0.25 2.88 8.05
## 1263 Chemicals 5.80 -0.27 6.25 3.27
## 1264 Oil & gas operations 1.97 0.29 4.01 4.42
## 1265 Banking 1.54 0.07 66.85 3.42
## 1266 Business services & supplies 4.80 0.14 5.28 2.32
## 1267 Drugs & biotechnology 0.50 0.16 2.24 14.25
## 1268 Utilities 5.81 -4.45 14.16 0.20
## 1269 Technology hardware & equipment 9.49 0.01 4.82 3.00
## 1270 Consumer durables 3.44 0.38 2.79 2.56
## 1271 Banking 1.76 0.22 17.53 1.32
## 1272 Oil & gas operations 5.81 -0.47 13.84 1.62
## 1273 Insurance 3.27 0.09 25.01 1.97
## 1274 Transportation 3.55 0.13 4.40 3.49
## 1275 Technology hardware & equipment 0.79 0.20 2.06 9.43
## 1276 Diversified financials 1.07 0.13 8.99 4.22
## 1277 Banking 0.76 0.10 21.02 3.46
## 1278 Diversified financials 3.60 -0.12 8.33 3.72
## 1279 Software & services 2.41 0.20 3.44 5.02
## 1280 Semiconductors 3.96 -1.65 9.41 3.25
## 1281 Construction 12.61 0.05 7.51 1.85
## 1282 Materials 3.14 0.20 3.71 3.41
## 1283 Banking 0.58 0.15 36.74 1.42
## 1284 Insurance 2.34 0.09 8.11 5.32
## 1285 Media 2.85 0.17 3.98 3.75
## 1286 Banking 1.91 0.20 18.54 1.63
## 1287 Telecommunications services 1.86 0.27 2.92 6.80
## 1288 Construction 6.77 0.08 6.04 2.71
## 1289 Transportation 5.44 0.08 11.83 1.04
## 1290 Oil & gas operations 1.30 0.40 3.95 3.68
## 1291 Materials 1.19 0.19 4.39 5.48
## 1292 Diversified financials 0.59 0.18 19.12 2.20
## 1293 Diversified financials 0.31 0.14 7.55 4.45
## 1294 Insurance 0.89 0.29 4.79 3.47
## 1295 Construction 2.76 0.26 3.79 3.04
## 1296 Conglomerates 6.30 0.18 1.92 2.43
## 1297 Retailing 5.64 0.16 2.81 2.72
## 1298 Oil & gas operations 1.19 0.29 3.61 5.22
## 1299 Oil & gas operations 6.36 0.23 3.23 1.19
## 1300 Household & personal products 1.30 0.23 1.64 7.57
## 1301 Business services & supplies 4.53 0.00 4.26 5.44
## 1302 Technology hardware & equipment 5.17 0.08 3.52 5.72
## 1303 Diversified financials 6.35 -0.48 4.79 3.47
## 1304 Oil & gas operations 7.76 0.17 3.01 2.26
## 1305 Chemicals 4.15 0.11 7.48 2.33
## 1306 Health care equipment & services 2.25 0.19 2.27 6.17
## 1307 Diversified financials 0.74 0.18 5.55 4.43
## 1308 Technology hardware & equipment 2.18 0.17 3.67 5.91
## 1309 Consumer durables 4.13 0.14 3.60 3.41
## 1310 Oil & gas operations 3.59 0.12 3.10 5.05
## 1311 Food drink & tobacco 1.30 0.29 1.80 5.81
## 1312 Capital goods 5.64 0.10 7.77 1.35
## 1313 Insurance 4.80 -0.48 14.96 1.70
## 1314 Technology hardware & equipment 3.10 0.25 3.14 3.20
## 1315 Telecommunications services 3.95 -0.72 8.29 3.25
## 1316 Construction 3.59 0.34 3.16 2.38
## 1317 Health care equipment & services 3.53 0.20 2.44 3.26
## 1318 Transportation 0.51 0.22 4.32 4.42
## 1319 Insurance 4.16 -0.26 18.88 1.01
## 1320 Business services & supplies 0.77 0.20 0.75 7.91
## 1321 Materials 7.69 0.02 5.07 2.90
## 1322 Chemicals 6.51 -0.02 10.53 0.14
## 1323 Hotels restaurants & leisure 3.47 0.18 2.02 3.53
## 1324 Transportation 3.36 0.31 4.06 2.03
## 1325 Banking 2.45 0.03 37.74 2.48
## 1326 Utilities 1.08 0.20 7.10 3.16
## 1327 Diversified financials 0.62 0.24 4.97 3.55
## 1328 Banking 0.89 0.16 14.57 2.38
## 1329 Insurance 1.68 0.16 21.54 1.47
## 1330 Chemicals 8.14 0.02 8.55 1.67
## 1331 Conglomerates 3.70 0.18 3.64 2.84
## 1332 Business services & supplies 4.71 0.12 6.64 1.74
## 1333 Business services & supplies 5.09 0.15 4.00 2.30
## 1334 Construction 3.01 0.15 3.80 3.59
## 1335 Semiconductors 3.97 -0.07 4.73 4.85
## 1336 Food drink & tobacco 7.99 0.07 5.01 2.76
## 1337 Consumer durables 2.80 0.16 1.60 4.70
## 1338 Media 4.75 0.13 3.19 3.31
## 1339 Diversified financials 0.99 0.23 1.55 6.54
## 1340 Banking 0.84 0.16 12.90 2.51
## 1341 Drugs & biotechnology 2.72 0.11 4.22 4.79
## 1342 Food markets 3.42 0.15 1.38 3.96
## 1343 Business services & supplies 0.90 0.18 0.88 8.38
## 1344 Banking 1.59 0.18 16.16 0.72
## 1345 Health care equipment & services 3.81 0.13 4.48 2.65
## 1346 Oil & gas operations 8.80 0.12 3.72 2.26
## 1347 Technology hardware & equipment 8.09 0.01 5.04 2.67
## 1348 Hotels restaurants & leisure 2.52 0.21 6.29 2.23
## 1349 Diversified financials 2.28 0.09 39.14 1.14
## 1350 Conglomerates 6.59 -0.06 8.18 2.20
## 1351 Diversified financials 4.50 0.07 13.55 1.70
## 1352 Hotels restaurants & leisure 0.80 0.21 4.56 3.94
## 1353 Food drink & tobacco 2.53 0.15 4.33 3.62
## 1354 Household & personal products 1.12 0.20 0.86 7.04
## 1355 Software & services 0.43 0.24 1.71 5.82
## 1356 Health care equipment & services 2.04 0.14 5.41 4.33
## 1357 Transportation 7.06 -0.20 8.75 1.00
## 1358 Banking 1.61 0.18 16.48 1.62
## 1359 Banking 1.36 0.08 48.17 2.92
## 1360 Construction 2.76 0.28 2.85 2.99
## 1361 Banking 0.97 0.25 10.57 1.44
## 1362 Food drink & tobacco 3.96 0.16 4.29 2.34
## 1363 Household & personal products 3.01 0.16 3.25 3.81
## 1364 Oil & gas operations 6.30 0.13 4.31 0.91
## 1365 Chemicals 6.39 -0.47 5.91 2.62
## 1366 Retailing 2.90 0.18 1.49 3.78
## 1367 Banking 1.01 0.07 16.10 4.43
## 1368 Banking 0.87 0.16 13.58 2.33
## 1369 Diversified financials 0.47 0.16 6.81 3.42
## 1370 Construction 0.57 0.50 2.55 3.45
## 1371 Chemicals 4.54 0.12 5.81 2.07
## 1372 Trading companies 8.76 0.14 3.39 1.19
## 1373 Banking 1.61 0.11 39.50 1.52
## 1374 Diversified financials 1.53 0.13 10.18 3.10
## 1375 Semiconductors 1.27 0.14 3.07 10.67
## 1376 Utilities 2.71 0.23 5.55 1.82
## 1377 Banking 2.60 -0.05 47.89 0.94
## 1378 Diversified financials 0.32 -0.25 7.96 7.86
## 1379 Retailing 5.08 0.22 2.39 1.53
## 1380 Diversified financials 0.65 0.16 6.08 3.65
## 1381 Telecommunications services 2.55 0.09 7.70 3.51
## 1382 Chemicals 3.80 -0.30 7.63 3.03
## 1383 Food drink & tobacco 7.70 0.04 5.07 2.55
## 1384 Semiconductors 0.83 0.16 1.49 8.46
## 1385 Retailing 5.59 0.13 3.55 2.43
## 1386 Transportation 7.48 -0.02 7.52 1.53
## 1387 Banking 1.23 0.07 56.68 2.71
## 1388 Banking 0.91 0.15 15.83 2.19
## 1389 Chemicals 6.95 0.00 7.87 0.82
## 1390 Food drink & tobacco 2.27 0.21 2.15 4.21
## 1391 Diversified financials 2.62 0.01 41.78 0.96
## 1392 Telecommunications services 0.99 0.25 1.66 5.17
## 1393 Materials 3.70 -0.10 4.94 4.31
## 1394 Banking 0.61 0.15 9.87 2.66
## 1395 Capital goods 7.04 0.03 7.73 1.55
## 1396 Health care equipment & services 2.10 0.20 3.39 4.63
## 1397 Materials 6.58 -0.25 8.02 1.53
## 1398 Hotels restaurants & leisure 2.36 0.22 2.79 3.67
## 1399 Food markets 3.34 0.12 1.28 4.51
## 1400 Software & services 2.27 0.09 4.22 8.20
## 1401 Banking 1.09 0.09 47.69 2.32
## 1402 Chemicals 2.84 0.03 28.78 0.95
## 1403 Banking 1.35 0.07 58.63 2.63
## 1404 Oil & gas operations 4.68 -0.03 5.44 3.07
## 1405 Retailing 4.26 0.11 0.99 3.55
## 1406 Household & personal products 2.47 0.20 2.83 3.71
## 1407 Retailing 7.69 0.03 7.02 1.42
## 1408 Insurance 3.58 -0.02 11.71 2.39
## 1409 Consumer durables 5.42 -0.07 9.26 0.10
## 1410 Telecommunications services 1.23 0.41 2.35 3.50
## 1411 Technology hardware & equipment 16.50 -0.24 4.00 2.30
## 1412 Diversified financials 0.34 0.18 12.99 1.94
## 1413 Transportation 5.35 0.09 4.28 2.75
## 1414 Food drink & tobacco 1.71 0.29 3.34 3.95
## 1415 Transportation 0.92 0.26 2.69 4.71
## 1416 Transportation 4.98 0.10 6.03 1.28
## 1417 Health care equipment & services 10.78 0.04 5.27 1.73
## 1418 Business services & supplies 3.46 0.19 2.69 2.75
## 1419 Drugs & biotechnology 1.05 0.18 2.79 6.44
## 1420 Media 2.36 0.02 3.99 10.79
## 1421 Diversified financials 0.98 0.25 8.89 1.72
## 1422 Banking 1.38 -0.71 34.69 2.83
## 1423 Business services & supplies 1.57 0.19 2.83 6.07
## 1424 Diversified financials 2.07 -0.03 7.34 6.20
## 1425 Transportation 5.50 NA 8.58 0.24
## 1426 Diversified financials 2.54 -0.87 34.55 1.54
## 1427 Business services & supplies 2.43 0.20 1.34 3.60
## 1428 Capital goods 5.71 0.01 3.56 3.89
## 1429 Materials 1.21 0.12 3.96 7.03
## 1430 Diversified financials 0.74 0.19 2.08 5.79
## 1431 Drugs & biotechnology 1.46 0.20 3.28 5.30
## 1432 Retailing 2.56 0.13 1.98 5.15
## 1433 Utilities 1.15 0.18 6.47 2.83
## 1434 Retailing 1.89 0.19 2.29 5.71
## 1435 Retailing 2.65 0.21 2.00 3.16
## 1436 Diversified financials 0.88 0.22 3.75 4.09
## 1437 Insurance 3.87 0.06 12.73 1.99
## 1438 Media 3.22 0.10 3.09 5.22
## 1439 Capital goods 1.75 0.13 3.57 7.53
## 1440 Food drink & tobacco 1.70 0.25 1.56 4.52
## 1441 Utilities 2.95 -0.91 10.46 2.78
## 1442 Transportation 4.31 -0.29 5.74 2.93
## 1443 Food markets 9.65 -0.77 5.27 2.02
## 1444 Telecommunications services 1.76 0.14 5.20 3.94
## 1445 Transportation 4.32 0.20 2.86 2.18
## 1446 Retailing 9.69 -0.09 4.41 2.31
## 1447 Technology hardware & equipment 3.18 0.21 2.36 2.61
## 1448 Drugs & biotechnology 1.14 0.22 2.94 5.00
## 1449 Transportation 4.27 0.13 4.85 0.99
## 1450 Consumer durables 5.49 -0.18 8.05 0.02
## 1451 Materials 2.24 0.19 3.20 4.18
## 1452 Food drink & tobacco 2.35 0.23 1.73 3.25
## 1453 Food drink & tobacco 3.24 0.16 3.58 2.74
## 1454 Construction 3.20 0.26 2.33 2.33
## 1455 Insurance 2.09 0.12 8.53 2.65
## 1456 Construction 2.70 -0.62 14.97 2.47
## 1457 Banking 0.96 0.16 12.07 1.89
## 1458 Insurance 2.56 -0.04 27.56 1.26
## 1459 Diversified financials 1.80 -0.05 10.77 4.74
## 1460 Conglomerates 4.98 0.16 3.34 2.05
## 1461 Business services & supplies 2.78 0.12 4.15 3.25
## 1462 Retailing 3.00 0.16 1.76 3.22
## 1463 Technology hardware & equipment 3.29 0.18 3.00 2.74
## 1464 Banking 0.66 0.15 12.67 1.66
## 1465 Insurance 2.07 0.16 9.99 1.97
## 1466 Business services & supplies 10.13 -0.17 4.66 1.34
## 1467 Diversified financials 3.84 0.23 1.50 0.62
## 1468 Business services & supplies 4.95 -0.06 5.05 2.69
## 1469 Food drink & tobacco 3.94 0.11 2.67 3.38
## 1470 Oil & gas operations 1.61 0.27 4.26 2.79
## 1471 Household & personal products 2.96 0.13 2.03 3.75
## 1472 Diversified financials 0.33 0.12 7.01 3.39
## 1473 Banking 0.81 0.15 10.65 2.23
## 1474 Banking 1.36 0.12 19.99 2.02
## 1475 Health care equipment & services 1.67 0.20 2.06 4.82
## 1476 Drugs & biotechnology 1.54 -0.09 4.33 12.41
## 1477 Insurance 3.00 -0.03 15.97 0.93
## 1478 Hotels restaurants & leisure 2.61 0.17 1.40 3.41
## 1479 Banking 1.36 0.12 14.62 2.16
## 1480 Transportation 3.61 0.11 0.91 3.36
## 1481 Materials 2.39 0.00 8.29 3.49
## 1482 Banking 1.19 -0.87 25.27 2.72
## 1483 Business services & supplies 1.98 0.18 1.63 4.60
## 1484 Trading companies 22.57 0.08 2.70 0.45
## 1485 Telecommunications services 2.58 -1.00 6.44 3.80
## 1486 Banking 0.64 0.14 9.46 2.47
## 1487 Capital goods 2.94 0.22 2.98 2.48
## 1488 Technology hardware & equipment 0.57 0.18 0.86 5.19
## 1489 Diversified financials 2.06 -0.10 23.46 2.51
## 1490 Media 2.08 -0.03 5.45 6.42
## 1491 Banking 0.57 0.14 9.77 2.36
## 1492 Household & personal products 1.94 0.19 3.22 4.46
## 1493 Oil & gas operations 0.99 0.17 3.19 5.32
## 1494 Materials 2.63 0.18 2.70 3.05
## 1495 Health care equipment & services 2.19 0.21 2.56 3.35
## 1496 Drugs & biotechnology 1.34 0.18 1.30 5.02
## 1497 Transportation 1.01 -2.83 14.88 3.29
## 1498 Retailing 5.93 0.07 4.95 2.33
## 1499 Insurance 3.16 0.00 13.67 1.34
## 1500 Retailing 2.61 0.13 1.37 3.84
## 1501 Construction 3.44 0.24 2.01 1.94
## 1502 Media 0.51 0.22 1.92 4.12
## 1503 Chemicals 2.52 0.11 2.40 5.35
## 1504 Construction 4.90 0.03 7.21 0.02
## 1505 Trading companies 5.50 0.12 1.99 2.25
## 1506 Construction 4.62 0.13 1.67 2.41
## 1507 Materials 3.69 0.09 4.52 2.73
## 1508 Capital goods 6.30 0.07 5.13 2.19
## 1509 Consumer durables 2.92 0.15 2.37 3.15
## 1510 Consumer durables 3.68 0.20 2.40 2.13
## 1511 Insurance 2.44 0.05 14.31 2.42
## 1512 Banking 1.21 0.03 47.85 2.21
## 1513 Hotels restaurants & leisure 5.42 0.03 1.43 3.57
## 1514 Banking 0.63 0.13 8.82 2.45
## 1515 Technology hardware & equipment 1.60 0.17 2.09 5.01
## 1516 Health care equipment & services 3.15 0.13 1.70 3.11
## 1517 Technology hardware & equipment 1.01 0.12 1.44 7.49
## 1518 Transportation 2.62 0.12 1.04 4.12
## 1519 Technology hardware & equipment 1.46 0.18 1.81 4.77
## 1520 Trading companies 9.79 0.03 4.22 0.37
## 1521 Materials 6.00 0.07 5.63 0.97
## 1522 Drugs & biotechnology 1.15 0.16 1.21 5.31
## 1523 Household & personal products 2.52 0.17 2.13 3.17
## 1524 Health care equipment & services 1.43 0.17 1.69 4.92
## 1525 Software & services 1.18 0.15 2.31 5.52
## 1526 Software & services 0.93 0.17 2.04 4.81
## 1527 Materials 2.20 0.20 3.66 2.80
## 1528 Consumer durables 3.07 0.17 3.03 2.56
## 1529 Hotels restaurants & leisure 2.10 0.13 4.73 3.15
## 1530 Materials 1.92 0.22 2.69 3.59
## 1531 Banking 0.98 0.03 46.10 2.17
## 1532 Business services & supplies 3.81 0.07 3.00 4.86
## 1533 Business services & supplies 5.72 0.06 1.46 3.36
## 1534 Insurance 3.24 0.23 2.16 1.01
## 1535 Construction 3.81 0.11 4.28 2.31
## 1536 Materials 2.30 0.28 3.20 2.48
## 1537 Technology hardware & equipment 2.34 0.12 1.74 4.83
## 1538 Materials 2.55 0.34 2.46 2.06
## 1539 Banking 1.37 0.02 55.89 1.80
## 1540 Health care equipment & services 0.96 0.17 1.13 4.63
## 1541 Retailing 3.19 0.14 2.17 2.83
## 1542 Food markets 7.41 0.11 3.15 1.39
## 1543 Health care equipment & services 1.10 0.14 1.08 5.65
## 1544 Insurance 2.32 0.04 21.32 1.47
## 1545 Banking 0.91 0.12 12.42 0.89
## 1546 Diversified financials 4.30 0.04 7.48 1.22
## 1547 Banking 0.55 0.14 9.55 2.19
## 1548 Technology hardware & equipment 2.59 0.13 0.87 3.56
## 1549 Construction 2.58 0.19 2.65 2.70
## 1550 Chemicals 1.30 0.19 1.55 3.95
## 1551 Consumer durables 2.88 0.27 1.85 0.87
## 1552 Business services & supplies 7.51 -0.24 1.80 2.78
## 1553 Technology hardware & equipment 1.96 0.20 2.23 3.50
## 1554 Insurance 2.29 -0.13 21.36 1.86
## 1555 Banking 1.56 0.11 15.49 1.08
## 1556 Chemicals 2.64 -0.14 4.57 4.37
## 1557 Banking 1.37 0.16 8.34 0.46
## 1558 Banking 1.03 0.02 46.65 1.28
## 1559 Banking 1.06 0.02 17.48 2.70
## 1560 Transportation 6.70 -0.02 4.72 0.55
## 1561 Semiconductors 0.67 0.12 1.58 6.29
## 1562 Materials 1.06 0.30 2.77 2.87
## 1563 Banking 0.99 0.07 44.08 2.06
## 1564 Health care equipment & services 3.03 0.12 2.40 3.22
## 1565 Diversified financials 2.31 0.13 4.18 2.99
## 1566 Household & personal products 1.60 0.23 0.53 3.40
## 1567 Materials 4.78 0.08 4.84 1.90
## 1568 Media 1.48 0.17 1.20 4.37
## 1569 Banking 1.00 0.11 13.87 0.71
## 1570 Construction 5.20 0.09 4.06 0.75
## 1571 Construction 1.38 0.19 3.36 3.67
## 1572 Consumer durables 4.79 0.12 3.02 2.20
## 1573 Construction 3.67 0.14 3.80 0.83
## 1574 Business services & supplies 3.80 -0.86 1.91 4.40
## 1575 Utilities 1.94 0.18 4.67 2.58
## 1576 Transportation 5.75 0.03 5.06 0.78
## 1577 Retailing 1.59 0.15 0.92 4.71
## 1578 Insurance 1.93 0.24 5.20 1.19
## 1579 Diversified financials 0.62 0.13 5.42 2.93
## 1580 Utilities 3.79 0.11 4.35 2.13
## 1581 Transportation 2.65 0.07 6.11 3.22
## 1582 Capital goods 0.96 0.15 0.85 4.73
## 1583 Utilities 0.97 0.17 3.23 4.05
## 1584 Banking 0.91 0.01 34.98 2.10
## 1585 Banking 0.47 0.11 11.52 2.16
## 1586 Transportation 6.25 -0.53 4.72 0.13
## 1587 Banking 0.81 0.03 38.87 1.71
## 1588 Diversified financials 0.34 0.13 10.67 1.08
## 1589 Technology hardware & equipment 3.01 0.15 2.60 2.60
## 1590 Banking 0.72 0.13 10.30 1.73
## 1591 Banking 0.73 -0.22 37.31 1.84
## 1592 Retailing 7.98 0.05 4.12 2.05
## 1593 Insurance 3.49 -0.04 8.68 1.08
## 1594 Insurance 3.30 -0.04 9.41 1.73
## 1595 Aerospace & defense 1.66 0.19 2.38 3.62
## 1596 Diversified financials 0.43 0.18 3.92 3.12
## 1597 Banking 1.59 0.09 17.61 1.70
## 1598 Retailing 6.51 0.10 1.70 1.67
## 1599 Banking 0.58 0.13 9.65 2.12
## 1600 Trading companies 15.11 -0.15 0.83 0.05
## 1601 Trading companies 7.10 0.02 4.28 0.47
## 1602 Retailing 3.42 0.10 2.01 3.09
## 1603 Consumer durables 2.44 0.30 2.12 1.42
## 1604 Banking 0.78 0.05 34.49 1.16
## 1605 Household & personal products 3.49 0.16 1.99 2.21
## 1606 Construction 4.16 0.12 3.74 1.34
## 1607 Diversified financials 0.58 0.09 9.22 2.80
## 1608 Banking 0.69 0.02 34.29 1.34
## 1609 Food drink & tobacco 2.49 0.15 3.96 2.46
## 1610 Diversified financials 0.24 0.01 34.10 0.53
## 1611 Chemicals 4.34 0.07 6.25 1.32
## 1612 Household & personal products 1.55 0.22 2.21 3.21
## 1613 Retailing 2.90 0.11 1.32 3.46
## 1614 Utilities 4.36 0.09 4.29 1.57
## 1615 Business services & supplies 1.34 0.17 1.51 3.97
## 1616 Oil & gas operations 1.10 0.28 2.56 2.82
## 1617 Banking 0.74 0.14 8.66 1.50
## 1618 Banking 0.89 -0.28 33.02 1.57
## 1619 Banking 0.97 -0.06 32.93 0.91
## 1620 Food drink & tobacco 3.32 0.18 1.58 2.09
## 1621 Drugs & biotechnology 0.99 0.16 0.68 4.11
## 1622 Construction 4.28 0.04 6.23 0.97
## 1623 Oil & gas operations 0.59 0.17 2.62 3.80
## 1624 Oil & gas operations 1.97 0.18 3.89 2.83
## 1625 Utilities 2.29 0.18 3.33 2.70
## 1626 Banking 0.67 0.02 32.06 1.14
## 1627 Banking 0.73 0.05 19.86 2.41
## 1628 Diversified financials 0.41 -0.02 11.19 3.08
## 1629 Trading companies 4.76 -0.22 5.40 0.20
## 1630 Health care equipment & services 1.15 0.23 1.43 3.07
## 1631 Banking 1.25 0.05 17.74 2.48
## 1632 Health care equipment & services 1.70 0.15 2.35 4.24
## 1633 Banking 0.70 0.02 30.99 1.32
## 1634 Construction 3.29 0.18 2.45 1.37
## 1635 Software & services 1.94 -0.16 3.61 9.44
## 1636 Banking 0.96 0.05 30.40 1.35
## 1637 Capital goods 5.35 -0.32 4.81 1.86
## 1638 Diversified financials 2.26 0.06 10.34 2.56
## 1639 Technology hardware & equipment 1.96 0.10 2.49 6.52
## 1640 Banking 0.60 -0.25 28.87 2.08
## 1641 Diversified financials 0.82 0.19 0.88 3.44
## 1642 Banking 1.08 0.12 10.75 0.55
## 1643 Capital goods 4.42 -0.02 4.97 2.24
## 1644 Chemicals 3.15 0.11 3.06 2.91
## 1645 Drugs & biotechnology 1.35 0.13 2.19 5.01
## 1646 Banking 1.50 0.09 18.44 2.07
## 1647 Banking 1.86 -0.02 29.27 1.06
## 1648 Insurance 0.68 0.38 2.61 2.36
## 1649 Diversified financials 0.32 0.18 2.77 3.50
## 1650 Retailing 6.72 0.05 2.59 2.60
## 1651 Capital goods 2.73 0.17 3.89 1.50
## 1652 Transportation 3.62 0.15 2.73 1.97
## 1653 Banking 0.64 -0.47 28.65 0.40
## 1654 Household & personal products 4.38 0.00 5.67 0.63
## 1655 Food drink & tobacco 4.28 0.10 3.08 2.49
## 1656 Food markets 11.78 0.03 2.68 0.93
## 1657 Banking 0.58 0.03 28.13 1.65
## 1658 Banking 0.60 -0.14 27.96 1.78
## 1659 Materials 3.01 -0.01 3.87 3.77
## 1660 Diversified financials 0.68 -0.27 18.23 2.38
## 1661 Retailing 3.07 0.03 9.02 0.45
## 1662 Oil & gas operations 8.73 0.06 3.68 1.04
## 1663 Banking 1.45 0.03 27.41 1.80
## 1664 Diversified financials 0.61 0.16 3.76 3.22
## 1665 Diversified financials 1.41 0.19 2.94 3.31
## 1666 Retailing 1.96 0.13 8.47 0.55
## 1667 Business services & supplies 1.97 0.13 2.16 4.34
## 1668 Banking 1.06 -0.03 26.67 1.21
## 1669 Hotels restaurants & leisure 3.95 0.01 2.37 3.55
## 1670 Conglomerates 4.37 -0.15 5.53 1.35
## 1671 Transportation 3.46 0.12 4.12 1.51
## 1672 Materials 2.64 0.15 2.29 2.64
## 1673 Diversified financials 0.75 0.04 7.31 3.88
## 1674 Food drink & tobacco 2.55 0.12 3.31 3.05
## 1675 Technology hardware & equipment 2.18 0.15 2.31 3.24
## 1676 Construction 2.83 0.20 1.83 1.96
## 1677 Food drink & tobacco 4.60 0.10 3.63 1.33
## 1678 Food drink & tobacco 1.71 0.21 2.66 3.04
## 1679 Chemicals 1.90 0.17 2.31 3.47
## 1680 Food drink & tobacco 3.37 0.16 2.35 1.76
## 1681 Diversified financials 0.86 0.10 11.84 1.48
## 1682 Materials 0.77 0.15 1.56 3.95
## 1683 Food drink & tobacco 2.10 0.19 4.46 1.80
## 1684 Banking 0.76 0.08 6.19 3.77
## 1685 Technology hardware & equipment 2.94 0.16 1.12 2.30
## 1686 Food markets 10.63 -0.12 2.78 0.30
## 1687 Chemicals 4.22 0.03 4.41 2.40
## 1688 Hotels restaurants & leisure 0.93 0.20 3.01 3.15
## 1689 Business services & supplies 1.99 0.14 1.80 3.85
## 1690 Banking 0.77 0.06 11.67 2.76
## 1691 Capital goods 2.53 0.05 2.54 6.02
## 1692 Drugs & biotechnology 0.87 -0.07 1.55 11.81
## 1693 Construction 4.57 -0.17 5.08 1.09
## 1694 Health care equipment & services 3.56 0.08 2.86 3.50
## 1695 Banking 0.65 0.04 25.42 1.17
## 1696 Media 2.21 0.16 2.34 2.97
## 1697 Drugs & biotechnology 1.77 -0.05 1.75 11.72
## 1698 Diversified financials 0.65 0.10 12.53 1.40
## 1699 Banking 0.45 0.14 7.54 2.06
## 1700 Hotels restaurants & leisure 1.04 0.18 1.49 3.42
## 1701 Business services & supplies 1.23 0.16 1.55 3.55
## 1702 Semiconductors 1.61 -0.96 2.02 11.70
## 1703 Health care equipment & services 1.57 0.17 2.45 3.45
## 1704 Media 1.53 0.14 1.39 4.31
## 1705 Transportation 4.78 -0.34 4.74 1.46
## 1706 Food drink & tobacco 2.67 0.12 2.71 2.99
## 1707 Health care equipment & services 1.78 0.13 1.42 4.57
## 1708 Banking 0.79 -0.43 24.63 0.40
## 1709 Drugs & biotechnology 0.62 0.19 2.34 3.18
## 1710 Banking 0.61 0.10 11.65 1.51
## 1711 Banking 0.61 0.01 24.42 1.77
## 1712 Retailing 2.96 0.12 1.24 2.72
## 1713 Diversified financials 0.25 0.16 4.63 2.51
## 1714 Conglomerates 1.62 0.24 3.10 2.74
## 1715 Software & services 0.81 0.11 0.90 5.35
## 1716 Media 1.52 0.14 1.30 3.99
## 1717 Diversified financials 1.32 0.09 6.49 3.26
## 1718 Retailing 5.09 0.07 3.47 2.58
## 1719 Diversified financials 3.02 0.16 3.42 1.65
## 1720 Diversified financials 1.21 -0.01 23.63 0.73
## 1721 Banking 0.70 0.07 23.49 1.65
## 1722 Transportation 4.72 0.05 4.71 1.42
## 1723 Banking 0.49 0.04 23.43 1.02
## 1724 Retailing 7.32 0.08 2.43 0.98
## 1725 Food markets 4.13 0.12 1.12 1.53
## 1726 Banking 0.52 -0.05 23.34 0.69
## 1727 Diversified financials 2.91 0.08 8.25 1.22
## 1728 Diversified financials 1.03 0.08 8.10 2.94
## 1729 Banking 0.57 0.03 23.25 0.84
## 1730 Business services & supplies 0.92 0.13 0.77 4.21
## 1731 Conglomerates 2.72 0.14 2.78 2.54
## 1732 Software & services 0.98 0.11 2.08 5.14
## 1733 Banking 0.59 -0.43 22.83 0.38
## 1734 Business services & supplies 4.55 0.09 2.78 2.39
## 1735 Consumer durables 0.58 0.13 1.29 4.31
## 1736 Banking 0.63 0.02 22.51 1.03
## 1737 Technology hardware & equipment 4.09 0.10 2.72 2.36
## 1738 Drugs & biotechnology 1.15 -0.95 5.05 5.01
## 1739 Diversified financials 2.96 0.01 8.19 0.39
## 1740 Food drink & tobacco 2.40 0.24 1.45 1.44
## 1741 Consumer durables 1.05 0.16 2.27 3.50
## 1742 Banking 0.56 0.01 22.40 0.60
## 1743 Consumer durables 0.19 0.14 0.51 3.91
## 1744 Banking 0.56 0.09 12.85 1.31
## 1745 Technology hardware & equipment 0.70 0.04 2.41 10.37
## 1746 Banking 0.54 0.02 22.22 0.76
## 1747 Capital goods 4.38 -0.24 4.97 1.32
## 1748 Insurance 1.13 0.19 2.75 3.09
## 1749 Construction 4.42 -2.50 4.86 0.18
## 1750 Retailing 2.28 0.15 1.52 2.82
## 1751 Banking 1.15 0.07 21.65 2.02
## 1752 Food drink & tobacco 6.80 0.01 3.75 0.44
## 1753 Drugs & biotechnology 2.41 0.05 3.11 5.83
## 1754 Transportation 1.35 0.20 3.62 2.55
## 1755 Retailing 2.23 0.18 1.83 2.54
## 1756 Hotels restaurants & leisure 1.28 0.17 1.57 3.27
## 1757 Semiconductors 0.52 0.13 0.93 4.17
## 1758 Diversified financials 0.34 0.14 2.83 3.68
## 1759 Oil & gas operations 9.13 0.02 0.99 0.27
## 1760 Diversified financials 2.48 -0.08 10.52 0.74
## 1761 Food drink & tobacco 6.09 0.06 3.88 1.77
## 1762 Construction 1.95 0.25 1.51 2.46
## 1763 Diversified financials 0.64 0.14 0.59 3.67
## 1764 Banking 0.53 -0.09 20.96 0.68
## 1765 Transportation 4.46 0.00 1.91 2.91
## 1766 Construction 4.62 -0.01 4.55 0.57
## 1767 Utilities 2.15 0.13 5.53 2.09
## 1768 Banking 0.46 -0.26 20.84 1.34
## 1769 Health care equipment & services 2.62 0.12 3.19 2.74
## 1770 Banking 0.62 -0.08 20.75 1.43
## 1771 Construction 3.72 0.03 3.74 2.88
## 1772 Chemicals 2.09 0.09 2.35 5.14
## 1773 Consumer durables 2.68 0.11 2.42 3.09
## 1774 Utilities 2.75 -0.10 8.81 1.46
## 1775 Banking 0.42 -0.07 20.35 0.79
## 1776 Construction 3.88 -0.06 5.41 0.61
## 1777 Diversified financials 0.45 0.14 4.03 2.89
## 1778 Transportation 0.27 0.10 1.64 5.36
## 1779 Banking 0.58 0.12 7.84 1.55
## 1780 Utilities 1.40 0.19 3.08 2.97
## 1781 Insurance 1.44 -0.40 19.87 1.08
## 1782 Technology hardware & equipment 3.00 -1.76 4.91 2.63
## 1783 Construction 0.38 0.38 0.27 0.06
## 1784 Banking 0.50 0.01 19.26 0.60
## 1785 Materials 1.86 0.11 4.06 3.36
## 1786 Business services & supplies 2.31 0.04 10.84 2.09
## 1787 Banking 0.39 0.03 19.09 0.79
## 1788 Banking 0.53 0.12 8.10 1.70
## 1789 Food drink & tobacco 1.57 0.16 1.76 3.22
## 1790 Banking 0.45 0.02 19.07 0.66
## 1791 Materials 4.04 -0.56 5.03 0.52
## 1792 Materials 2.76 0.14 2.52 2.39
## 1793 Business services & supplies 3.73 0.05 3.76 2.75
## 1794 Retailing 1.68 0.20 1.16 2.73
## 1795 Construction 3.05 -0.01 3.50 3.53
## 1796 Banking 0.80 0.09 12.19 1.14
## 1797 Banking 0.45 0.12 7.51 2.10
## 1798 Retailing 3.10 0.15 2.18 1.60
## 1799 Banking 0.44 0.03 18.77 0.79
## 1800 Retailing 8.39 0.07 2.97 1.24
## 1801 Insurance 1.26 0.26 3.46 2.24
## 1802 Banking 0.51 0.10 10.72 1.77
## 1803 Transportation 5.10 0.09 2.75 1.55
## 1804 Capital goods 4.07 0.02 4.88 1.31
## 1805 Materials 3.09 0.13 3.56 1.26
## 1806 Utilities 2.08 0.18 3.64 2.40
## 1807 Banking 0.88 -0.01 18.46 0.16
## 1808 Banking 0.50 0.01 18.30 0.73
## 1809 Health care equipment & services 1.97 0.17 2.04 2.86
## 1810 Business services & supplies 1.52 0.06 3.08 8.63
## 1811 Banking 0.38 -0.12 17.80 0.71
## 1812 Food markets 8.00 0.02 2.14 1.13
## 1813 Construction 1.44 0.21 2.71 2.64
## 1814 Utilities 2.38 -0.62 10.12 1.69
## 1815 Business services & supplies 2.29 0.17 1.81 2.41
## 1816 Capital goods 0.98 0.15 2.06 3.29
## 1817 Health care equipment & services 1.66 0.15 2.02 3.29
## 1818 Utilities 2.09 0.19 3.84 2.12
## 1819 Business services & supplies 0.80 0.15 1.04 3.37
## 1820 Telecommunications services 0.76 0.13 1.69 3.77
## 1821 Technology hardware & equipment 1.72 0.13 2.62 3.68
## 1822 Insurance 1.65 -0.41 17.47 2.01
## 1823 Capital goods 3.98 0.04 4.83 1.26
## 1824 Banking 0.53 0.12 7.63 1.75
## 1825 Banking 0.45 0.02 17.34 1.07
## 1826 Telecommunications services 2.89 0.02 7.43 0.68
## 1827 Construction 2.36 0.20 2.46 1.61
## 1828 Diversified financials 0.28 0.08 14.90 1.07
## 1829 Media 1.50 -0.06 5.49 3.92
## 1830 Utilities 1.18 0.14 4.39 2.54
## 1831 Utilities 1.06 0.13 6.25 1.60
## 1832 Materials 0.17 0.34 0.40 1.21
## 1833 Materials 4.98 0.07 3.99 0.78
## 1834 Oil & gas operations 0.83 0.18 2.98 2.87
## 1835 Banking 0.40 0.01 16.78 0.61
## 1836 Utilities 1.76 0.10 9.03 1.94
## 1837 Health care equipment & services 3.18 0.07 4.00 2.85
## 1838 Business services & supplies 2.51 0.12 3.02 2.84
## 1839 Materials 4.35 0.06 4.37 1.18
## 1840 Business services & supplies 2.84 -1.48 1.95 4.14
## 1841 Banking 0.38 0.02 16.65 0.26
## 1842 Utilities 0.67 0.14 1.43 3.39
## 1843 Banking 0.42 0.02 16.60 0.88
## 1844 Business services & supplies 5.37 0.03 3.12 2.41
## 1845 Business services & supplies 0.95 0.10 1.00 5.25
## 1846 Banking 0.73 0.05 16.57 0.43
## 1847 Trading companies 6.96 0.01 3.32 0.21
## 1848 Materials 2.72 -0.20 5.62 2.49
## 1849 Food markets 7.47 0.06 2.48 1.61
## 1850 Banking 1.09 0.06 16.26 0.71
## 1851 Software & services 3.02 0.09 2.53 2.90
## 1852 Insurance 2.15 0.15 3.00 2.66
## 1853 Oil & gas operations 0.79 0.11 3.18 4.42
## 1854 Media 1.42 0.13 3.58 3.19
## 1855 Banking 0.42 0.02 16.04 0.97
## 1856 Household & personal products 3.88 0.05 4.77 0.31
## 1857 Consumer durables 3.78 0.11 2.93 1.98
## 1858 Banking 0.38 0.01 16.00 0.63
## 1859 Business services & supplies 3.57 -0.22 2.96 3.17
## 1860 Banking 0.41 0.00 15.81 0.44
## 1861 Diversified financials 0.98 0.12 6.69 0.47
## 1862 Transportation 3.36 0.13 2.11 1.34
## 1863 Materials 3.15 -0.01 2.41 3.49
## 1864 Food markets 7.10 0.06 1.27 0.66
## 1865 Banking 0.95 -0.29 15.67 1.80
## 1866 Media 0.26 0.12 1.00 3.64
## 1867 Diversified financials 0.90 0.01 15.59 0.10
## 1868 Oil & gas operations 1.26 -0.05 2.81 7.77
## 1869 Retailing 7.04 0.02 1.29 1.22
## 1870 Media 1.07 0.14 1.86 3.25
## 1871 Media 0.11 0.31 0.30 0.53
## 1872 Diversified financials 0.89 0.12 5.30 2.46
## 1873 Diversified financials 0.42 0.16 2.14 3.01
## 1874 Transportation 0.24 0.15 1.76 3.07
## 1875 Hotels restaurants & leisure 6.97 -1.52 2.55 0.12
## 1876 Banking 0.99 0.07 15.47 2.06
## 1877 Utilities 0.81 0.15 5.19 1.12
## 1878 Chemicals 3.99 0.04 4.49 2.03
## 1879 Telecommunications services 1.00 0.23 1.66 2.40
## 1880 Materials 3.49 -0.02 5.22 1.69
## 1881 Food drink & tobacco 2.78 0.10 3.92 2.31
## 1882 Hotels restaurants & leisure 0.40 0.19 0.67 2.67
## 1883 Diversified financials 1.11 0.07 15.24 1.54
## 1884 Business services & supplies 1.24 0.11 4.27 2.93
## 1885 Technology hardware & equipment 2.06 -0.11 4.50 3.75
## 1886 Business services & supplies 1.57 0.08 10.07 2.22
## 1887 Food markets 6.84 -0.40 1.64 0.40
## 1888 Oil & gas operations 1.02 0.19 2.73 2.59
## 1889 Banking 0.37 0.01 15.06 0.77
## 1890 Utilities 2.81 -0.14 6.95 0.92
## 1891 Software & services 0.83 -0.11 2.13 7.53
## 1892 Banking 0.58 -0.33 14.89 0.60
## 1893 Banking 0.49 0.08 13.12 1.79
## 1894 Retailing 6.72 0.04 3.12 1.71
## 1895 Capital goods 3.60 0.09 3.90 1.17
## 1896 Construction 4.99 0.09 2.57 1.92
## 1897 Banking 0.30 -0.11 14.70 0.42
## 1898 Utilities 1.14 0.15 4.28 2.36
## 1899 Consumer durables 1.58 0.17 1.52 2.77
## 1900 Materials 3.26 0.01 5.51 0.94
## 1901 Banking 0.68 0.09 9.52 1.44
## 1902 Banking 0.43 0.11 7.71 1.98
## 1903 Utilities 1.09 0.12 3.39 3.49
## 1904 Materials 0.92 0.10 2.46 4.37
## 1905 Technology hardware & equipment 0.32 -0.16 0.86 7.42
## 1906 Trading companies 6.56 -0.01 2.52 0.18
## 1907 Telecommunications services 0.33 0.29 1.53 1.74
## 1908 Banking 0.43 0.03 8.38 2.67
## 1909 Transportation 4.48 NA 3.98 1.49
## 1910 Banking 0.36 -0.06 14.24 0.41
## 1911 Media 2.49 0.09 3.74 2.84
## 1912 Banking 1.22 0.03 14.16 0.57
## 1913 Trading companies 3.74 0.08 2.99 2.64
## 1914 Materials 0.82 -0.02 4.08 4.94
## 1915 Telecommunications services 2.00 0.12 4.22 2.45
## 1916 Banking 0.57 0.05 13.99 1.08
## 1917 Diversified financials 0.35 0.04 4.01 5.04
## 1918 Banking 0.37 0.01 13.97 0.56
## 1919 Transportation 0.69 0.16 2.72 2.75
## 1920 Utilities 1.08 0.17 2.80 2.73
## 1921 Software & services 1.35 0.00 2.85 6.94
## 1922 Telecommunications services 1.22 0.19 4.06 1.90
## 1923 Banking 0.60 0.10 7.79 1.47
## 1924 Food drink & tobacco 6.20 0.03 3.06 1.24
## 1925 Semiconductors 1.73 0.06 2.08 6.93
## 1926 Retailing 3.61 0.11 2.41 1.86
## 1927 Banking 0.66 -0.01 13.76 0.24
## 1928 Food drink & tobacco 6.15 -0.23 2.14 0.68
## 1929 Technology hardware & equipment 0.63 -0.28 2.45 6.90
## 1930 Insurance 1.26 0.15 2.90 2.96
## 1931 Construction 2.83 0.14 2.72 0.79
## 1932 Capital goods 1.15 0.14 2.04 3.02
## 1933 Construction 1.84 0.25 2.55 2.16
## 1934 Food drink & tobacco 1.69 0.19 1.10 2.51
## 1935 Semiconductors 1.92 -0.23 2.31 6.56
## 1936 Banking 0.35 0.01 13.39 0.72
## 1937 Banking 0.64 0.07 13.35 1.17
## 1938 Banking 0.76 0.08 12.56 1.26
## 1939 Health care equipment & services 2.02 0.13 3.01 3.00
## 1940 Banking 0.58 0.07 13.25 1.03
## 1941 Banking 0.31 0.10 7.91 1.56
## 1942 Consumer durables 3.74 0.03 4.35 0.30
## 1943 Consumer durables 1.92 0.19 1.46 2.43
## 1944 Materials 0.17 0.11 0.62 3.68
## 1945 Banking 0.43 0.10 7.75 1.67
## 1946 Banking 0.32 0.01 13.17 0.76
## 1947 Media 2.92 0.07 1.63 3.41
## 1948 Diversified financials 1.05 0.12 1.61 3.43
## 1949 Media 1.96 -0.16 4.21 4.14
## 1950 Banking 0.35 -0.16 13.10 0.49
## 1951 Materials 1.23 0.09 3.76 3.67
## 1952 Diversified financials 0.33 0.27 2.47 0.03
## 1953 Capital goods 2.63 0.15 3.02 1.15
## 1954 Trading companies 5.78 0.05 2.38 0.54
## 1955 Business services & supplies 2.03 0.11 1.66 3.37
## 1956 Hotels restaurants & leisure 0.68 0.15 3.96 2.32
## 1957 Retailing 1.18 0.10 1.44 4.34
## 1958 Food markets 5.75 -0.06 1.30 0.90
## 1959 Aerospace & defense 2.31 0.15 2.55 2.28
## 1960 Banking 0.56 0.06 12.72 1.36
## 1961 Diversified financials 0.01 0.26 0.33 0.62
## 1962 Retailing 1.20 0.26 0.71 0.17
## 1963 Banking 0.89 0.07 12.69 0.49
## 1964 Banking 0.59 0.05 10.66 2.24
## 1965 Banking 0.44 0.06 12.65 1.28
## 1966 Utilities 2.38 -1.72 7.67 0.82
## 1967 Food drink & tobacco 5.62 0.03 2.36 0.67
## 1968 Technology hardware & equipment 0.57 0.10 1.63 4.29
## 1969 Oil & gas operations 3.80 0.07 2.73 2.63
## 1970 Food markets 5.52 0.07 1.74 1.49
## 1971 Business services & supplies 0.59 0.13 1.34 3.20
## 1972 Consumer durables 2.95 0.12 1.75 1.98
## 1973 Transportation 2.18 0.07 4.49 3.16
## 1974 Materials 0.64 0.16 2.59 2.60
## 1975 Materials 0.54 0.24 2.02 2.12
## 1976 Banking 0.69 0.04 12.20 1.98
## 1977 Food drink & tobacco 2.86 0.13 2.38 1.22
## 1978 Trading companies 5.50 0.07 1.81 0.35
## 1979 Banking 0.76 0.06 12.01 0.81
## 1980 Trading companies 5.48 -0.03 1.50 0.25
## 1981 Materials 1.46 -0.06 4.22 4.24
## 1982 Construction 5.46 -0.13 2.92 1.67
## 1983 Telecommunications services 0.64 -0.04 1.91 6.29
## 1984 Banking 0.84 0.09 8.68 0.54
## 1985 Diversified financials 0.19 0.25 1.14 1.51
## 1986 Banking 0.34 0.04 11.79 0.38
## 1987 Banking 0.58 0.10 7.42 1.50
## 1988 Construction 3.84 0.04 4.08 0.71
## 1989 Consumer durables 2.00 0.11 1.82 3.23
## 1990 Diversified financials 0.58 0.14 3.71 2.46
## 1991 Materials 2.76 0.04 5.28 2.15
## 1992 Utilities 2.24 0.11 2.21 2.75
## 1993 Media 1.03 -0.06 1.53 6.02
## 1994 Telecommunications services 2.16 -3.62 8.67 1.42
## 1995 Construction 5.17 0.02 2.62 1.53
## 1996 Banking 0.48 0.02 11.27 1.47
## 1997 Business services & supplies 2.78 -0.22 2.96 3.29
## 1998 Materials 1.35 0.14 2.47 2.76
## 1999 Capital goods 5.09 0.00 2.71 0.88
## 2000 Banking 0.81 0.10 7.16 1.17
#3.1 Calculate the median profit for the companies in the US and the median profit for the companies in the UK, France and Germany
#and the median profit for the companies in the UK, France and Germany.
sub.forbes <- subset(Forbes2000,country %in% c("United States","UK","France","Germany"))
library("plyr")
## ------------------------------------------------------------------------------
## You have loaded plyr after dplyr - this is likely to cause problems.
## If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
## library(plyr); library(dplyr)
## ------------------------------------------------------------------------------
##
## Attaching package: 'plyr'
## The following objects are masked from 'package:dplyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarize
## The following object is masked from 'package:purrr':
##
## compact
ddply(sub.forbes,c("country"),function(df){median(df$profits,na.rm=T)})
## country V1
## 1 France 0.19
## 2 Germany 0.23
## 3 United States 0.24
#alternatively this can be tested
median(Forbes2000[Forbes2000$country=="France",]$profits,na.rm=T)
## [1] 0.19
#From the result we see that the median profit for United States companies are 0.240, 0.205 for United Kingdom companies, 0.230 for Germany companies, and 0.190 is for France Companies.```
####or
#alternatively this can be tested
median(Forbes2000[Forbes2000$country=="France",]$profits,na.rm=T)
## [1] 0.19
#3.2 Find all German companies with negative profit.
Forbes2000[Forbes2000$country=="Germany" & Forbes2000$profits < 0,"name"]
## [1] "Allianz Worldwide" "Deutsche Telekom"
## [3] "E.ON" "HVB-HypoVereinsbank"
## [5] "Commerzbank" "Infineon Technologies"
## [7] "BHW Holding" "Bankgesellschaft Berlin"
## [9] "W&W-Wustenrot" "mg technologies"
## [11] "Nurnberger Beteiligungs" "SPAR Handels"
## [13] "Mobilcom"
#test with
Forbes2000[Forbes2000$country=="Germany" & Forbes2000$profits < 0,]
## rank name country category sales
## 350 350 Allianz Worldwide Germany Insurance 96.88
## 364 364 Deutsche Telekom Germany Telecommunications services 56.40
## 397 397 E.ON Germany Utilities 37.95
## 431 431 HVB-HypoVereinsbank Germany Banking 40.52
## 500 500 Commerzbank Germany Banking 22.43
## 798 798 Infineon Technologies Germany Semiconductors 7.18
## 869 869 BHW Holding Germany Diversified financials 7.46
## 926 926 Bankgesellschaft Berlin Germany Banking 9.43
## 1034 1034 W&W-Wustenrot Germany Diversified financials 7.57
## 1187 1187 mg technologies Germany Chemicals 8.54
## 1477 1477 Nurnberger Beteiligungs Germany Insurance 3.00
## 1887 1887 SPAR Handels Germany Food markets 6.84
## 1994 1994 Mobilcom Germany Telecommunications services 2.16
## profits assets marketvalue
## 350 -1.23 851.24 48.07
## 364 -25.83 132.01 84.18
## 397 -0.73 115.57 43.96
## 431 -0.87 705.36 14.49
## 500 -0.31 437.86 11.00
## 798 -0.51 11.79 10.73
## 869 -0.38 117.96 2.98
## 926 -0.74 182.69 2.30
## 1034 -0.08 56.44 1.89
## 1187 -0.13 6.45 3.18
## 1477 -0.03 15.97 0.93
## 1887 -0.40 1.64 0.40
## 1994 -3.62 8.67 1.42
#There are 13 German companies with negative profits. Deutsche Telekom is a German comapny with the highest negative profit and Nurnberger Beteiligungs is the lowest negative profit.```
#3.3 To which business category do most of the Bermuda island companies belong?
#Most of the Bermuda Island companies Insurance category. which is about 10 companies. ## For the 50 companies in the Forbes data set with the highest profits…
#For the 50 companies in the Forbes data set with the highest profits.
#Bermuda island working in?
sort(table(Forbes2000[Forbes2000$country=="Bermuda","category"]),decreasing=T)
##
## Insurance Conglomerates
## 10 2
## Oil & gas operations Banking
## 2 1
## Capital goods Food drink & tobacco
## 1 1
## Food markets Media
## 1 1
## Software & services Aerospace & defense
## 1 0
## Business services & supplies Chemicals
## 0 0
## Construction Consumer durables
## 0 0
## Diversified financials Drugs & biotechnology
## 0 0
## Health care equipment & services Hotels restaurants & leisure
## 0 0
## Household & personal products Materials
## 0 0
## Retailing Semiconductors
## 0 0
## Technology hardware & equipment Telecommunications services
## 0 0
## Trading companies Transportation
## 0 0
## Utilities
## 0
#3.4 Find the average value of sales for the companies
#Find the average value of sales for the companies in each country in the Forbes data set
#plot sales against assets (or some suitable transformation of each variable),
#labelling each point with the appropriate country name which may need
#to be abbreviated (using abbreviate) to avoid making the plot look too
#'messy'.
attach(Forbes2000)
Forbes2000.orderd <- Forbes2000[order(profits,decreasing=T),]
detach(Forbes2000)
plot(log(Forbes2000.orderd[1:50,"assets"]),log(Forbes2000.orderd[1:50,"sales"])
,ylab="log(sales)",xlab="log(assets)",main="sales vs assets")
text(x=log(Forbes2000.orderd[1:50,"assets"]),y=log(Forbes2000.orderd[1:50,"sales"]),labels=abbreviate(Forbes2000.orderd$country[1:50]),col="blue",font=1,pos=1)
# OR plot with ggplot2
qplot(log(assets),log(sales),data=Forbes2000.orderd[1:50,],color=country)
## Warning: `qplot()` was deprecated in ggplot2 3.4.0.
# Ex. 1.5 Find the average value of sales for the companies in each country
# in the Forbes data set, and find the number of companies in each country
# with profits above 5 billion US dollars.
Forbes2000.5bilion <- Forbes2000[Forbes2000$profits > 5.0 ,]
ddply(Forbes2000.5bilion,c("country"),function(df){c(nrow(df),mean(df$sales))})
## country V1 V2
## 1 China 1 29.5300
## 2 France 1 131.6400
## 3 Germany 1 157.1300
## 4 Japan 1 135.8200
## 5 Netherlands/ United Kingdom 1 133.5000
## 6 South Korea 1 50.2200
## 7 Switzerland 3 46.7600
## 8 United Kingdom 3 103.6867
## 9 United States 20 77.2835
## 10 <NA> 5 NA
#There is around 32 companies withe a profit mare than 5 billion US dollars, among those companies 20 of them were belong to United States and 3 of them were belong to United Kingdom.```
#4 Mortality rates per 100, 000 from male suicides for a number of age groups and a number of countries are given in below. Construct sideby-side box plots for the data from different age groups, and comment on what the graphic tells us about the data
Q4 <- data.frame(Country=rep(c('Canada', 'Israel', 'Japan', 'Austria','France','Germany','Hungary',
'Italy', 'Netherlands', 'Poland','Spain','Sweden', 'Switzerland', 'UK','USA'), each=5),
Ages=c(22, 27, 31, 34, 24,
9, 19, 10, 14, 27,
22, 19, 21, 31, 49,
29, 40, 52, 53, 69,
16, 25, 36, 47, 56,
28, 35, 41, 49, 52,
48, 65, 84, 81, 107,
7, 8, 11, 18, 27,
8, 11, 18, 20, 28,
26, 29, 36, 32, 28,
4, 7, 10, 16, 22,
28, 41, 46, 51, 35,
22, 34, 41, 50, 51,
10, 13, 15, 17, 22,
20, 22, 28, 33, 37
))
ggplot(Q4, aes(x=Country, y=Ages, fill=Country)) +
geom_boxplot() +
ggtitle('side by side boxplots of Country Ages')
#The boxplots show that there are large variations in the ages among the countries. Canada, Israel, UK and USA have similar distributions they have a normal distributions, with most of their ages clustering around 15 and 25. Hungary has a higher median age than the other countries, with its ages peaking at around 81. Austria,France, Germany, Sweden and Switzerland have relatively more even distributions of ages, with their medians ranging from 36 to 52. Spain, Italy, and Israel have a much lower range of ages, with its median at around the range 10 and 14. Canada, Poland, Japan and Netherlands have slightly higher medians ranging from 18 to 29. The Hungary, Austria, and Netherlands have a positive-skewed boxplots. ```
#5 Flury and Riedwyl (1988) report data
#Flury and Riedwyl (1988) report data that give various lengths measurements on 200 Swiss bank notes. The data are available from package alr3 or otrimle (Weisberg, 2008)
#Use whatever graphical techniques you think are appropriate to investigate whether there is any ‘pattern’ or structure in the data. Do you observe something suspicious?
#The first graphical technique that could be used is a scatterplot matrix to visualize the relationship between the variables in the dataset. A scatterplot could be used to compare the variance, skewness, curtosis and entropy between each of the four features. This could be used to identify any potential correlations that exist between the variables.
#A boxplot could also be used to identify any potential outliers in the dataset. This could be used to identify data points that may be suspicious.
#A histogram could also be used to identify any underlying patterns in the distribution of each variable
#and could be used to identify any underlying distributions
#Finally, a line graph could be used to identify any trends in the data. This could be used to observe any changes over time and identify any potential suspicious patterns.
#so, we use a line graph to identify the patterns of the variables in the data.
library(otrimle)
##
## OTRIMLE: Robust Model-Based Clustering
## Type 'citation("otrimle")' for citing this R package in publications.
##
## OTRIMLE: Robust Model-Based Clustering
## Type 'citation("otrimle")' for citing this R package in publications.
otrimle::banknote
## Class Length Left Right Bottom Top Diagonal
## 1 genuine 214.8 131.0 131.1 9.0 9.7 141.0
## 2 genuine 214.6 129.7 129.7 8.1 9.5 141.7
## 3 genuine 214.8 129.7 129.7 8.7 9.6 142.2
## 4 genuine 214.8 129.7 129.6 7.5 10.4 142.0
## 5 genuine 215.0 129.6 129.7 10.4 7.7 141.8
## 6 genuine 215.7 130.8 130.5 9.0 10.1 141.4
## 7 genuine 215.5 129.5 129.7 7.9 9.6 141.6
## 8 genuine 214.5 129.6 129.2 7.2 10.7 141.7
## 9 genuine 214.9 129.4 129.7 8.2 11.0 141.9
## 10 genuine 215.2 130.4 130.3 9.2 10.0 140.7
## 11 genuine 215.3 130.4 130.3 7.9 11.7 141.8
## 12 genuine 215.1 129.5 129.6 7.7 10.5 142.2
## 13 genuine 215.2 130.8 129.6 7.9 10.8 141.4
## 14 genuine 214.7 129.7 129.7 7.7 10.9 141.7
## 15 genuine 215.1 129.9 129.7 7.7 10.8 141.8
## 16 genuine 214.5 129.8 129.8 9.3 8.5 141.6
## 17 genuine 214.6 129.9 130.1 8.2 9.8 141.7
## 18 genuine 215.0 129.9 129.7 9.0 9.0 141.9
## 19 genuine 215.2 129.6 129.6 7.4 11.5 141.5
## 20 genuine 214.7 130.2 129.9 8.6 10.0 141.9
## 21 genuine 215.0 129.9 129.3 8.4 10.0 141.4
## 22 genuine 215.6 130.5 130.0 8.1 10.3 141.6
## 23 genuine 215.3 130.6 130.0 8.4 10.8 141.5
## 24 genuine 215.7 130.2 130.0 8.7 10.0 141.6
## 25 genuine 215.1 129.7 129.9 7.4 10.8 141.1
## 26 genuine 215.3 130.4 130.4 8.0 11.0 142.3
## 27 genuine 215.5 130.2 130.1 8.9 9.8 142.4
## 28 genuine 215.1 130.3 130.3 9.8 9.5 141.9
## 29 genuine 215.1 130.0 130.0 7.4 10.5 141.8
## 30 genuine 214.8 129.7 129.3 8.3 9.0 142.0
## 31 genuine 215.2 130.1 129.8 7.9 10.7 141.8
## 32 genuine 214.8 129.7 129.7 8.6 9.1 142.3
## 33 genuine 215.0 130.0 129.6 7.7 10.5 140.7
## 34 genuine 215.6 130.4 130.1 8.4 10.3 141.0
## 35 genuine 215.9 130.4 130.0 8.9 10.6 141.4
## 36 genuine 214.6 130.2 130.2 9.4 9.7 141.8
## 37 genuine 215.5 130.3 130.0 8.4 9.7 141.8
## 38 genuine 215.3 129.9 129.4 7.9 10.0 142.0
## 39 genuine 215.3 130.3 130.1 8.5 9.3 142.1
## 40 genuine 213.9 130.3 129.0 8.1 9.7 141.3
## 41 genuine 214.4 129.8 129.2 8.9 9.4 142.3
## 42 genuine 214.8 130.1 129.6 8.8 9.9 140.9
## 43 genuine 214.9 129.6 129.4 9.3 9.0 141.7
## 44 genuine 214.9 130.4 129.7 9.0 9.8 140.9
## 45 genuine 214.8 129.4 129.1 8.2 10.2 141.0
## 46 genuine 214.3 129.5 129.4 8.3 10.2 141.8
## 47 genuine 214.8 129.9 129.7 8.3 10.2 141.5
## 48 genuine 214.8 129.9 129.7 7.3 10.9 142.0
## 49 genuine 214.6 129.7 129.8 7.9 10.3 141.1
## 50 genuine 214.5 129.0 129.6 7.8 9.8 142.0
## 51 genuine 214.6 129.8 129.4 7.2 10.0 141.3
## 52 genuine 215.3 130.6 130.0 9.5 9.7 141.1
## 53 genuine 214.5 130.1 130.0 7.8 10.9 140.9
## 54 genuine 215.4 130.2 130.2 7.6 10.9 141.6
## 55 genuine 214.5 129.4 129.5 7.9 10.0 141.4
## 56 genuine 215.2 129.7 129.4 9.2 9.4 142.0
## 57 genuine 215.7 130.0 129.4 9.2 10.4 141.2
## 58 genuine 215.0 129.6 129.4 8.8 9.0 141.1
## 59 genuine 215.1 130.1 129.9 7.9 11.0 141.3
## 60 genuine 215.1 130.0 129.8 8.2 10.3 141.4
## 61 genuine 215.1 129.6 129.3 8.3 9.9 141.6
## 62 genuine 215.3 129.7 129.4 7.5 10.5 141.5
## 63 genuine 215.4 129.8 129.4 8.0 10.6 141.5
## 64 genuine 214.5 130.0 129.5 8.0 10.8 141.4
## 65 genuine 215.0 130.0 129.8 8.6 10.6 141.5
## 66 genuine 215.2 130.6 130.0 8.8 10.6 140.8
## 67 genuine 214.6 129.5 129.2 7.7 10.3 141.3
## 68 genuine 214.8 129.7 129.3 9.1 9.5 141.5
## 69 genuine 215.1 129.6 129.8 8.6 9.8 141.8
## 70 genuine 214.9 130.2 130.2 8.0 11.2 139.6
## 71 genuine 213.8 129.8 129.5 8.4 11.1 140.9
## 72 genuine 215.2 129.9 129.5 8.2 10.3 141.4
## 73 genuine 215.0 129.6 130.2 8.7 10.0 141.2
## 74 genuine 214.4 129.9 129.6 7.5 10.5 141.8
## 75 genuine 215.2 129.9 129.7 7.2 10.6 142.1
## 76 genuine 214.1 129.6 129.3 7.6 10.7 141.7
## 77 genuine 214.9 129.9 130.1 8.8 10.0 141.2
## 78 genuine 214.6 129.8 129.4 7.4 10.6 141.0
## 79 genuine 215.2 130.5 129.8 7.9 10.9 140.9
## 80 genuine 214.6 129.9 129.4 7.9 10.0 141.8
## 81 genuine 215.1 129.7 129.7 8.6 10.3 140.6
## 82 genuine 214.9 129.8 129.6 7.5 10.3 141.0
## 83 genuine 215.2 129.7 129.1 9.0 9.7 141.9
## 84 genuine 215.2 130.1 129.9 7.9 10.8 141.3
## 85 genuine 215.4 130.7 130.2 9.0 11.1 141.2
## 86 genuine 215.1 129.9 129.6 8.9 10.2 141.5
## 87 genuine 215.2 129.9 129.7 8.7 9.5 141.6
## 88 genuine 215.0 129.6 129.2 8.4 10.2 142.1
## 89 genuine 214.9 130.3 129.9 7.4 11.2 141.5
## 90 genuine 215.0 129.9 129.7 8.0 10.5 142.0
## 91 genuine 214.7 129.7 129.3 8.6 9.6 141.6
## 92 genuine 215.4 130.0 129.9 8.5 9.7 141.4
## 93 genuine 214.9 129.4 129.5 8.2 9.9 141.5
## 94 genuine 214.5 129.5 129.3 7.4 10.7 141.5
## 95 genuine 214.7 129.6 129.5 8.3 10.0 142.0
## 96 genuine 215.6 129.9 129.9 9.0 9.5 141.7
## 97 genuine 215.0 130.4 130.3 9.1 10.2 141.1
## 98 genuine 214.4 129.7 129.5 8.0 10.3 141.2
## 99 genuine 215.1 130.0 129.8 9.1 10.2 141.5
## 100 genuine 214.7 130.0 129.4 7.8 10.0 141.2
## 101 counterfeit 214.4 130.1 130.3 9.7 11.7 139.8
## 102 counterfeit 214.9 130.5 130.2 11.0 11.5 139.5
## 103 counterfeit 214.9 130.3 130.1 8.7 11.7 140.2
## 104 counterfeit 215.0 130.4 130.6 9.9 10.9 140.3
## 105 counterfeit 214.7 130.2 130.3 11.8 10.9 139.7
## 106 counterfeit 215.0 130.2 130.2 10.6 10.7 139.9
## 107 counterfeit 215.3 130.3 130.1 9.3 12.1 140.2
## 108 counterfeit 214.8 130.1 130.4 9.8 11.5 139.9
## 109 counterfeit 215.0 130.2 129.9 10.0 11.9 139.4
## 110 counterfeit 215.2 130.6 130.8 10.4 11.2 140.3
## 111 counterfeit 215.2 130.4 130.3 8.0 11.5 139.2
## 112 counterfeit 215.1 130.5 130.3 10.6 11.5 140.1
## 113 counterfeit 215.4 130.7 131.1 9.7 11.8 140.6
## 114 counterfeit 214.9 130.4 129.9 11.4 11.0 139.9
## 115 counterfeit 215.1 130.3 130.0 10.6 10.8 139.7
## 116 counterfeit 215.5 130.4 130.0 8.2 11.2 139.2
## 117 counterfeit 214.7 130.6 130.1 11.8 10.5 139.8
## 118 counterfeit 214.7 130.4 130.1 12.1 10.4 139.9
## 119 counterfeit 214.8 130.5 130.2 11.0 11.0 140.0
## 120 counterfeit 214.4 130.2 129.9 10.1 12.0 139.2
## 121 counterfeit 214.8 130.3 130.4 10.1 12.1 139.6
## 122 counterfeit 215.1 130.6 130.3 12.3 10.2 139.6
## 123 counterfeit 215.3 130.8 131.1 11.6 10.6 140.2
## 124 counterfeit 215.1 130.7 130.4 10.5 11.2 139.7
## 125 counterfeit 214.7 130.5 130.5 9.9 10.3 140.1
## 126 counterfeit 214.9 130.0 130.3 10.2 11.4 139.6
## 127 counterfeit 215.0 130.4 130.4 9.4 11.6 140.2
## 128 counterfeit 215.5 130.7 130.3 10.2 11.8 140.0
## 129 counterfeit 215.1 130.2 130.2 10.1 11.3 140.3
## 130 counterfeit 214.5 130.2 130.6 9.8 12.1 139.9
## 131 counterfeit 214.3 130.2 130.0 10.7 10.5 139.8
## 132 counterfeit 214.5 130.2 129.8 12.3 11.2 139.2
## 133 counterfeit 214.9 130.5 130.2 10.6 11.5 139.9
## 134 counterfeit 214.6 130.2 130.4 10.5 11.8 139.7
## 135 counterfeit 214.2 130.0 130.2 11.0 11.2 139.5
## 136 counterfeit 214.8 130.1 130.1 11.9 11.1 139.5
## 137 counterfeit 214.6 129.8 130.2 10.7 11.1 139.4
## 138 counterfeit 214.9 130.7 130.3 9.3 11.2 138.3
## 139 counterfeit 214.6 130.4 130.4 11.3 10.8 139.8
## 140 counterfeit 214.5 130.5 130.2 11.8 10.2 139.6
## 141 counterfeit 214.8 130.2 130.3 10.0 11.9 139.3
## 142 counterfeit 214.7 130.0 129.4 10.2 11.0 139.2
## 143 counterfeit 214.6 130.2 130.4 11.2 10.7 139.9
## 144 counterfeit 215.0 130.5 130.4 10.6 11.1 139.9
## 145 counterfeit 214.5 129.8 129.8 11.4 10.0 139.3
## 146 counterfeit 214.9 130.6 130.4 11.9 10.5 139.8
## 147 counterfeit 215.0 130.5 130.4 11.4 10.7 139.9
## 148 counterfeit 215.3 130.6 130.3 9.3 11.3 138.1
## 149 counterfeit 214.7 130.2 130.1 10.7 11.0 139.4
## 150 counterfeit 214.9 129.9 130.0 9.9 12.3 139.4
## 151 counterfeit 214.9 130.3 129.9 11.9 10.6 139.8
## 152 counterfeit 214.6 129.9 129.7 11.9 10.1 139.0
## 153 counterfeit 214.6 129.7 129.3 10.4 11.0 139.3
## 154 counterfeit 214.5 130.1 130.1 12.1 10.3 139.4
## 155 counterfeit 214.5 130.3 130.0 11.0 11.5 139.5
## 156 counterfeit 215.1 130.0 130.3 11.6 10.5 139.7
## 157 counterfeit 214.2 129.7 129.6 10.3 11.4 139.5
## 158 counterfeit 214.4 130.1 130.0 11.3 10.7 139.2
## 159 counterfeit 214.8 130.4 130.6 12.5 10.0 139.3
## 160 counterfeit 214.6 130.6 130.1 8.1 12.1 137.9
## 161 counterfeit 215.6 130.1 129.7 7.4 12.2 138.4
## 162 counterfeit 214.9 130.5 130.1 9.9 10.2 138.1
## 163 counterfeit 214.6 130.1 130.0 11.5 10.6 139.5
## 164 counterfeit 214.7 130.1 130.2 11.6 10.9 139.1
## 165 counterfeit 214.3 130.3 130.0 11.4 10.5 139.8
## 166 counterfeit 215.1 130.3 130.6 10.3 12.0 139.7
## 167 counterfeit 216.3 130.7 130.4 10.0 10.1 138.8
## 168 counterfeit 215.6 130.4 130.1 9.6 11.2 138.6
## 169 counterfeit 214.8 129.9 129.8 9.6 12.0 139.6
## 170 counterfeit 214.9 130.0 129.9 11.4 10.9 139.7
## 171 counterfeit 213.9 130.7 130.5 8.7 11.5 137.8
## 172 counterfeit 214.2 130.6 130.4 12.0 10.2 139.6
## 173 counterfeit 214.8 130.5 130.3 11.8 10.5 139.4
## 174 counterfeit 214.8 129.6 130.0 10.4 11.6 139.2
## 175 counterfeit 214.8 130.1 130.0 11.4 10.5 139.6
## 176 counterfeit 214.9 130.4 130.2 11.9 10.7 139.0
## 177 counterfeit 214.3 130.1 130.1 11.6 10.5 139.7
## 178 counterfeit 214.5 130.4 130.0 9.9 12.0 139.6
## 179 counterfeit 214.8 130.5 130.3 10.2 12.1 139.1
## 180 counterfeit 214.5 130.2 130.4 8.2 11.8 137.8
## 181 counterfeit 215.0 130.4 130.1 11.4 10.7 139.1
## 182 counterfeit 214.8 130.6 130.6 8.0 11.4 138.7
## 183 counterfeit 215.0 130.5 130.1 11.0 11.4 139.3
## 184 counterfeit 214.6 130.5 130.4 10.1 11.4 139.3
## 185 counterfeit 214.7 130.2 130.1 10.7 11.1 139.5
## 186 counterfeit 214.7 130.4 130.0 11.5 10.7 139.4
## 187 counterfeit 214.5 130.4 130.0 8.0 12.2 138.5
## 188 counterfeit 214.8 130.0 129.7 11.4 10.6 139.2
## 189 counterfeit 214.8 129.9 130.2 9.6 11.9 139.4
## 190 counterfeit 214.6 130.3 130.2 12.7 9.1 139.2
## 191 counterfeit 215.1 130.2 129.8 10.2 12.0 139.4
## 192 counterfeit 215.4 130.5 130.6 8.8 11.0 138.6
## 193 counterfeit 214.7 130.3 130.2 10.8 11.1 139.2
## 194 counterfeit 215.0 130.5 130.3 9.6 11.0 138.5
## 195 counterfeit 214.9 130.3 130.5 11.6 10.6 139.8
## 196 counterfeit 215.0 130.4 130.3 9.9 12.1 139.6
## 197 counterfeit 215.1 130.3 129.9 10.3 11.5 139.7
## 198 counterfeit 214.8 130.3 130.4 10.6 11.1 140.0
## 199 counterfeit 214.7 130.7 130.8 11.2 11.2 139.4
## 200 counterfeit 214.3 129.9 129.9 10.2 11.5 139.6
plot(banknote$Length , type = "l")
#Yes, it appears that there may be some anomalies in the Length data for the banknote set. Some of the points appear to stand out from the general trend, indicating that there may be some outliers present.
plot(banknote$Left , type = "l")
#Yes, it appears to be a sharp downward spike in the data around the 0 and 50 point. This could be the result of an anomalous outlier or an error in data entry.
plot(banknote$Bottom , type = "l")
#Yes, there appears to be a sharp peak in the middle of the data. From the 0 up-to the half of the data (100) the graph goes with a constant variation and the increase until it reaches around 140’s unit then it becomes constant.
plot(banknote$Top , type = "l")
#Yes, there appears to be a suspicious peak in the middle of the graph that could indicate the presence of an anomaly.
plot(banknote$Diagonal , type = "l")
#From the 0 up-to the half of the data (100) the graph goes with a constant variation and the decreased unfortunately until it reaches around 120’s unit then it becomes constant.```