Lab07
Serena Madsen
10/24/2021
Exercise 1
Set working directory, read in the file, load “maps”
setwd("~/Documents/geog6000/lab07")
read.csv("../datafiles/boston6k.csv")## ID TOWN TOWNNO TRACT LON LAT MEDV CMEDV
## 1 1 Boston Allston-Brighton 74 1 -71.13937 42.36245 17.8 17.8
## 2 2 Boston Allston-Brighton 74 2 -71.15855 42.35312 21.7 21.7
## 3 3 Boston Allston-Brighton 74 3 -71.16849 42.35061 22.7 22.7
## 4 4 Boston Allston-Brighton 74 4 -71.15616 42.34382 22.6 22.6
## 5 5 Boston Allston-Brighton 74 5 -71.15581 42.33732 25.0 25.0
## 6 6 Boston Allston-Brighton 74 6 -71.14548 42.35033 19.9 19.9
## 7 7 Boston Allston-Brighton 74 7 -71.13430 42.34912 20.8 20.8
## 8 8 Boston Allston-Brighton 74 8 -71.12496 42.35823 16.8 16.8
## 9 9 Boston Back Bay 75 101 -71.09913 42.35044 21.9 21.9
## 10 10 Boston Back Bay 75 102 -71.09924 42.34456 27.5 27.5
## 11 11 Boston Back Bay 75 104 -71.09024 42.34127 21.9 21.9
## 12 12 Boston Back Bay 75 105 -71.08481 42.34453 23.1 23.1
## 13 13 Boston Back Bay 75 107 -71.07967 42.35060 50.0 50.0
## 14 14 Boston Back Bay 75 108 -71.08310 42.35392 50.0 50.0
## 15 15 Boston Beacon Hill 76 201 -71.07225 42.35809 50.0 50.0
## 16 16 Boston Beacon Hill 76 202 -71.06910 42.36030 50.0 50.0
## 17 17 Boston Beacon Hill 76 203 -71.06674 42.36445 50.0 50.0
## 18 18 Boston North End 77 301 -71.05686 42.36684 13.8 13.8
## 19 19 Boston North End 77 302 -71.05804 42.36443 13.8 13.8
## 20 20 Boston Charlestown 78 401 -71.06069 42.37249 15.0 15.0
## 21 21 Boston Charlestown 78 402 -71.05763 42.37676 13.9 13.9
## 22 22 Boston Charlestown 78 403 -71.06283 42.37804 13.3 13.3
## 23 23 Boston Charlestown 78 404 -71.06667 42.37399 13.1 13.1
## 24 24 Boston Charlestown 78 405 -71.06616 42.37957 10.2 10.2
## 25 25 Boston Charlestown 78 406 -71.07462 42.37968 10.4 10.4
## 26 26 Boston East Boston 79 407 -71.06822 42.38522 10.9 10.9
## 27 27 Boston East Boston 79 501 -71.04006 42.38116 11.3 11.3
## 28 28 Boston East Boston 79 502 -71.03605 42.37771 12.3 12.3
## 29 29 Boston East Boston 79 503 -71.04389 42.37211 8.8 8.8
## 30 30 Boston East Boston 79 504 -71.03852 42.36815 7.2 7.2
## 31 31 Boston East Boston 79 506 -71.03806 42.37191 10.5 10.5
## 32 32 Boston East Boston 79 507 -71.03622 42.37449 7.4 7.4
## 33 33 Boston East Boston 79 508 -71.03272 42.37575 10.2 10.2
## 34 34 Boston East Boston 79 509 -71.02969 42.38224 11.5 11.5
## 35 35 Boston East Boston 79 510 -71.01603 42.38719 15.1 15.1
## 36 36 Boston East Boston 79 511 -71.00145 42.38799 23.2 23.2
## 37 37 Boston East Boston 79 512 -71.01585 42.36271 9.7 9.7
## 38 38 Boston South Boston 80 601 -71.02054 42.33696 13.8 13.8
## 39 39 Boston South Boston 80 602 -71.03358 42.33205 12.7 12.7
## 40 40 Boston South Boston 80 603 -71.03759 42.33310 13.1 13.1
## 41 41 Boston South Boston 80 604 -71.04351 42.33211 12.5 12.5
## 42 42 Boston South Boston 80 605 -71.03874 42.33920 8.5 8.5
## 43 43 Boston South Boston 80 606 -71.03635 42.34966 5.0 5.0
## 44 44 Boston South Boston 80 607 -71.05452 42.33840 6.3 6.3
## 45 45 Boston South Boston 80 608 -71.05419 42.33497 5.6 5.6
## 46 46 Boston South Boston 80 609 -71.05037 42.33562 7.2 7.2
## 47 47 Boston South Boston 80 610 -71.05061 42.33134 12.1 12.1
## 48 48 Boston South Boston 80 612 -71.05575 42.32950 8.3 8.3
## 49 49 Boston South Boston 80 613 -71.05884 42.33309 8.5 8.5
## 50 50 Boston South Boston 80 614 -71.05645 42.34233 5.0 5.0
## 51 51 Boston Downtown 81 702 -71.06473 42.34935 11.9 11.9
## 52 52 Boston Downtown 81 703 -71.07086 42.34969 27.9 27.9
## 53 53 Boston Downtown 81 705 -71.07267 42.34179 17.2 17.2
## 54 54 Boston Downtown 81 706 -71.07612 42.34310 27.5 27.5
## 55 55 Boston Downtown 81 707 -71.07666 42.34583 15.0 15.0
## 56 56 Boston Downtown 81 708 -71.08167 42.34096 17.2 17.2
## 57 57 Boston Downtown 81 709 -71.07881 42.33825 17.9 17.9
## 58 58 Boston Downtown 81 710 -71.07069 42.33604 16.3 16.3
## 59 59 Boston Roxbury 82 801 -71.06989 42.32987 7.0 7.0
## 60 60 Boston Roxbury 82 802 -71.07582 42.32528 7.2 7.2
## 61 61 Boston Roxbury 82 803 -71.07983 42.32722 7.5 7.5
## 62 62 Boston Roxbury 82 805 -71.08363 42.33461 10.4 10.4
## 63 63 Boston Roxbury 82 807 -71.08828 42.33085 8.8 8.8
## 64 64 Boston Roxbury 82 808 -71.09853 42.33343 8.4 8.4
## 65 65 Boston Roxbury 82 809 -71.10238 42.33215 16.7 16.7
## 66 66 Boston Roxbury 82 810 -71.10772 42.33460 14.2 14.2
## 67 67 Boston Roxbury 82 811 -71.10980 42.32809 20.8 20.8
## 68 68 Boston Roxbury 82 812 -71.10478 42.32442 13.4 13.4
## 69 69 Boston Roxbury 82 813 -71.09831 42.31925 11.7 11.7
## 70 70 Boston Roxbury 82 814 -71.09573 42.32817 8.3 8.3
## 71 71 Boston Roxbury 82 815 -71.09350 42.32070 10.2 10.2
## 72 72 Boston Roxbury 82 816 -71.09057 42.32700 10.9 10.9
## 73 73 Boston Roxbury 82 817 -71.08690 42.32245 11.0 11.0
## 74 74 Boston Roxbury 82 818 -71.08080 42.32014 9.5 9.5
## 75 75 Boston Roxbury 82 819 -71.09033 42.31528 14.5 14.5
## 76 76 Boston Roxbury 82 820 -71.08473 42.31347 14.1 14.1
## 77 77 Boston Roxbury 82 821 -71.08774 42.30920 16.1 16.1
## 78 78 Boston Savin Hill 83 901 -71.08234 42.30211 14.3 14.3
## 79 79 Boston Savin Hill 83 902 -71.07959 42.30694 11.7 11.7
## 80 80 Boston Savin Hill 83 903 -71.07707 42.31078 13.4 13.4
## 81 81 Boston Savin Hill 83 904 -71.07613 42.31546 9.6 9.6
## 82 82 Boston Savin Hill 83 905 -71.07421 42.31908 8.7 8.2
## 83 83 Boston Savin Hill 83 906 -71.07285 42.32275 8.4 8.4
## 84 84 Boston Savin Hill 83 907 -71.06191 42.32453 12.8 12.8
## 85 85 Boston Savin Hill 83 908 -71.05564 42.32149 10.5 10.5
## 86 86 Boston Savin Hill 83 910 -71.04994 42.30889 17.1 17.1
## 87 87 Boston Savin Hill 83 911 -71.05636 42.31534 18.4 14.8
## 88 88 Boston Savin Hill 83 912 -71.06275 42.31619 15.4 15.4
## 89 89 Boston Savin Hill 83 913 -71.06727 42.31970 10.8 10.8
## 90 90 Boston Savin Hill 83 914 -71.07037 42.31509 11.8 11.8
## 91 91 Boston Savin Hill 83 915 -71.06506 42.31134 14.9 14.9
## 92 92 Boston Savin Hill 83 916 -71.06149 42.30589 12.6 12.6
## 93 93 Boston Savin Hill 83 917 -71.06648 42.30356 14.1 14.1
## 94 94 Boston Savin Hill 83 918 -71.07127 42.30712 13.0 13.0
## 95 95 Boston Savin Hill 83 919 -71.07591 42.30053 13.4 13.4
## 96 96 Boston Savin Hill 83 920 -71.06784 42.29964 15.2 15.2
## 97 97 Boston Savin Hill 83 921 -71.05377 42.29842 16.1 16.1
## 98 98 Boston Savin Hill 83 922 -71.06677 42.29483 17.8 17.8
## 99 99 Boston Savin Hill 83 923 -71.07547 42.29379 14.9 14.4
## 100 100 Boston Savin Hill 83 924 -71.08553 42.29591 14.1 14.1
## 101 101 Boston Dorchester 84 1001 -71.08666 42.28983 12.7 12.7
## 102 102 Boston Dorchester 84 1002 -71.08629 42.28467 13.5 13.5
## 103 103 Boston Dorchester 84 1003 -71.08025 42.28261 14.9 14.9
## 104 104 Boston Dorchester 84 1004 -71.07114 42.28177 20.0 20.0
## 105 105 Boston Dorchester 84 1005 -71.07130 42.28821 16.4 16.4
## 106 106 Boston Dorchester 84 1006 -71.04731 42.29137 17.7 17.7
## 107 107 Boston Dorchester 84 1007 -71.04937 42.28232 19.5 19.5
## 108 108 Boston Dorchester 84 1008 -71.06109 42.27767 20.2 20.2
## 109 109 Boston Dorchester 84 1009 -71.07499 42.27359 21.4 21.4
## 110 110 Boston Dorchester 84 1010 -71.09482 42.27344 19.9 19.9
## 111 111 Boston Dorchester 84 1011 -71.09388 42.28033 19.0 19.0
## 112 112 Boston Mattapan 85 1101 -71.10200 42.29694 19.1 19.1
## 113 113 Boston Mattapan 85 1102 -71.11165 42.28067 19.1 19.1
## 114 114 Boston Mattapan 85 1103 -71.11383 42.28690 20.1 20.1
## 115 115 Boston Mattapan 85 1104 -71.12565 42.28072 19.9 19.9
## 116 116 Boston Mattapan 85 1105 -71.13735 42.28219 19.6 19.6
## 117 117 Boston Mattapan 85 1106 -71.13719 42.29326 23.2 23.2
## 118 118 Boston Forest Hills 86 1201 -71.12470 42.30779 29.8 29.8
## 119 119 Boston Forest Hills 86 1202 -71.10900 42.30514 13.8 13.8
## 120 120 Boston Forest Hills 86 1203 -71.10228 42.31224 13.3 13.3
## 121 121 Boston Forest Hills 86 1204 -71.11202 42.31393 16.7 16.7
## 122 122 Boston Forest Hills 86 1205 -71.10473 42.32044 12.0 12.0
## 123 123 Boston Forest Hills 86 1206 -71.10960 42.31906 14.6 14.6
## 124 124 Boston Forest Hills 86 1207 -71.11311 42.32389 21.4 21.4
## 125 125 Boston West Roxbury 87 1301 -71.17170 42.28979 23.0 23.0
## 126 126 Boston West Roxbury 87 1302 -71.15729 42.28703 23.7 23.7
## 127 127 Boston West Roxbury 87 1303 -71.15050 42.27859 25.0 25.0
## 128 128 Boston West Roxbury 87 1304 -71.16017 42.26804 21.8 21.8
## 129 129 Boston Hyde Park 88 1401 -71.13499 42.25789 20.6 20.6
## 130 130 Boston Hyde Park 88 1402 -71.12380 42.24330 21.2 21.2
## 131 131 Boston Hyde Park 88 1403 -71.11936 42.25886 19.1 19.1
## 132 132 Boston Hyde Park 88 1404 -71.11166 42.26934 20.6 20.6
## 133 133 Chelsea 89 1601 -71.02922 42.38877 15.2 15.2
## 134 134 Chelsea 89 1602 -71.03913 42.38738 7.0 7.0
## 135 135 Chelsea 89 1604 -71.04204 42.39521 8.1 8.1
## 136 136 Chelsea 89 1605 -71.02344 42.39652 13.6 13.6
## 137 137 Chelsea 89 1606 -71.03064 42.40489 20.1 20.1
## 138 138 Revere 90 1701 -71.02279 42.41043 21.8 21.8
## 139 139 Revere 90 1702 -71.02054 42.41666 24.5 24.5
## 140 140 Revere 90 1703 -71.01566 42.43089 23.1 23.1
## 141 141 Revere 90 1704 -70.99798 42.42310 19.7 19.7
## 142 142 Revere 90 1705 -70.98045 42.42789 18.3 18.3
## 143 143 Revere 90 1706 -71.00908 42.40735 21.2 21.2
## 144 144 Revere 90 1707 -70.99872 42.40245 17.5 17.5
## 145 145 Revere 90 1708 -70.98738 42.39584 16.8 16.8
## 146 146 Winthrop 91 1801 -70.97787 42.38598 22.4 22.4
## 147 147 Winthrop 91 1802 -70.98806 42.38004 20.6 20.6
## 148 148 Winthrop 91 1803 -70.99544 42.37000 23.9 23.9
## 149 149 Winthrop 91 1804 -70.97787 42.37475 22.0 22.0
## 150 150 Winthrop 91 1805 -70.97376 42.36691 11.9 19.0
## 151 151 Nahant 0 2011 -70.92747 42.42982 24.0 24.0
## 152 152 Swampscott 1 2021 -70.91549 42.47929 21.6 21.6
## 153 153 Swampscott 1 2022 -70.89789 42.47086 34.7 34.7
## 154 154 Marblehead 2 2031 -70.87974 42.48838 33.4 33.4
## 155 155 Marblehead 2 2032 -70.86917 42.49856 36.2 36.2
## 156 156 Marblehead 2 2033 -70.85986 42.51128 28.7 28.7
## 157 157 Salem 3 2041 -70.89597 42.49809 22.9 22.9
## 158 158 Salem 3 2042 -70.89700 42.51586 27.1 22.1
## 159 159 Salem 3 2043 -70.88648 42.51706 16.5 16.5
## 160 160 Salem 3 2044 -70.87617 42.52861 18.9 18.9
## 161 161 Salem 3 2045 -70.89130 42.53002 15.0 15.0
## 162 162 Salem 3 2046 -70.90479 42.53327 18.9 18.9
## 163 163 Salem 3 2047 -70.92075 42.50366 21.7 21.7
## 164 164 Lynn 4 2051 -70.94272 42.48655 20.4 20.4
## 165 165 Lynn 4 2052 -70.95338 42.48015 18.2 18.2
## 166 166 Lynn 4 2053 -70.96321 42.49026 19.9 19.9
## 167 167 Lynn 4 2054 -70.98685 42.49283 23.1 23.1
## 168 168 Lynn 4 2055 -70.96176 42.47502 17.5 17.5
## 169 169 Lynn 4 2056 -70.98665 42.46957 20.2 20.2
## 170 170 Lynn 4 2057 -70.97867 42.46560 18.2 18.2
## 171 171 Lynn 4 2058 -70.97458 42.45868 13.6 13.6
## 172 172 Lynn 4 2059 -70.96934 42.46858 19.6 19.6
## 173 173 Lynn 4 2060 -70.96333 42.46554 15.2 15.2
## 174 174 Lynn 4 2061 -70.95540 42.46569 14.5 14.5
## 175 175 Lynn 4 2062 -70.94956 42.46974 15.6 15.6
## 176 176 Lynn 4 2063 -70.94184 42.47386 13.9 13.9
## 177 177 Lynn 4 2064 -70.93359 42.47796 16.6 16.6
## 178 178 Lynn 4 2065 -70.93276 42.47118 14.8 14.8
## 179 179 Lynn 4 2066 -70.92833 42.46699 18.4 18.4
## 180 180 Lynn 4 2067 -70.93568 42.46299 21.0 21.0
## 181 181 Lynn 4 2068 -70.94445 42.46645 12.7 12.7
## 182 182 Lynn 4 2069 -70.94153 42.46001 14.5 14.5
## 183 183 Lynn 4 2070 -70.95161 42.45978 13.2 13.2
## 184 184 Lynn 4 2071 -70.96617 42.45957 13.1 13.1
## 185 185 Lynn 4 2072 -70.96366 42.45184 13.5 13.5
## 186 186 Sargus 5 2081 -70.99425 42.44481 18.9 18.9
## 187 187 Sargus 5 2082 -71.01348 42.45769 20.0 20.0
## 188 188 Sargus 5 2083 -71.00890 42.47807 21.0 21.0
## 189 189 Sargus 5 2084 -71.03394 42.48041 24.7 24.2
## 190 190 Lynnfield 6 2091 -71.02298 42.51940 30.8 30.8
## 191 191 Lynnfield 6 2092 -71.05160 42.54868 34.9 34.9
## 192 192 Peabody 7 2101 -71.01006 42.55763 26.6 26.6
## 193 193 Peabody 7 2102 -71.00579 42.53919 25.3 25.3
## 194 194 Peabody 7 2103 -70.96980 42.53742 24.7 24.7
## 195 195 Peabody 7 2104 -70.95345 42.52694 21.2 21.2
## 196 196 Peabody 7 2105 -70.96249 42.51005 19.3 19.3
## 197 197 Peabody 7 2106 -70.94230 42.50959 20.0 20.0
## 198 198 Peabody 7 2107 -70.92743 42.52080 16.6 16.6
## 199 199 Peabody 7 2108 -70.92585 42.52809 14.4 14.4
## 200 200 Peabody 7 2109 -70.92036 42.53517 19.4 19.4
## 201 201 Danvers 8 2111 -70.91999 42.55456 19.7 19.7
## 202 202 Danvers 8 2112 -70.93950 42.56054 20.5 20.5
## 203 203 Danvers 8 2113 -70.93229 42.58236 25.0 25.0
## 204 204 Danvers 8 2114 -70.96559 42.57731 23.4 23.4
## 205 205 Middleton 9 2121 -71.01693 42.60412 18.9 18.9
## 206 206 Topsfield 10 2141 -70.94295 42.63709 35.4 35.4
## 207 207 Hamilton 11 2151 -70.85846 42.62652 24.7 24.7
## 208 208 Wenham 12 2161 -70.88321 42.60062 31.6 31.6
## 209 209 Beverly 13 2171 -70.88283 42.57983 23.3 23.3
## 210 210 Beverly 13 2172 -70.90005 42.55683 19.6 19.6
## 211 211 Beverly 13 2173 -70.88541 42.56253 18.7 18.7
## 212 212 Beverly 13 2174 -70.88357 42.54357 16.0 16.0
## 213 213 Beverly 13 2175 -70.86961 42.55099 22.2 22.2
## 214 214 Beverly 13 2176 -70.83310 42.56780 25.0 25.0
## 215 215 Manchester 14 2181 -70.76935 42.58194 33.0 33.0
## 216 216 North Reading 15 3301 -71.07060 42.58404 23.5 23.5
## 217 217 North Reading 15 3302 -71.11536 42.57731 19.4 19.4
## 218 218 Wilmington 16 3311 -71.15160 42.56785 22.0 22.0
## 219 219 Wilmington 16 3312 -71.18078 42.57138 17.4 17.4
## 220 220 Wilmington 16 3313 -71.18509 42.54157 20.9 20.9
## 221 221 Burlington 17 3321 -71.20069 42.52558 24.2 24.2
## 222 222 Burlington 17 3322 -71.18212 42.50187 21.7 21.7
## 223 223 Burlington 17 3323 -71.21899 42.50760 22.8 22.8
## 224 224 Burlington 17 3324 -71.21100 42.48562 23.4 23.4
## 225 225 Woburn 18 3331 -71.18414 42.46417 24.1 24.1
## 226 226 Woburn 18 3332 -71.16726 42.47686 21.4 21.4
## 227 227 Woburn 18 3333 -71.15081 42.47112 20.0 20.0
## 228 228 Woburn 18 3334 -71.12774 42.48144 20.8 20.8
## 229 229 Woburn 18 3335 -71.14668 42.49205 21.2 21.2
## 230 230 Woburn 18 3336 -71.14734 42.51123 20.3 20.3
## 231 231 Reading 19 3341 -71.11713 42.51318 28.0 28.0
## 232 232 Reading 19 3342 -71.11826 42.52604 23.9 23.9
## 233 233 Reading 19 3343 -71.11318 42.54636 24.8 24.8
## 234 234 Reading 19 3344 -71.08954 42.53516 22.9 22.9
## 235 235 Wakefield 20 3351 -71.07492 42.51524 23.9 23.9
## 236 236 Wakefield 20 3352 -71.08545 42.50155 26.6 26.6
## 237 237 Wakefield 20 3353 -71.05339 42.50573 22.5 22.5
## 238 238 Wakefield 20 3354 -71.06520 42.48172 22.2 22.2
## 239 239 Melrose 21 3361 -71.07127 42.46574 23.6 23.6
## 240 240 Melrose 21 3362 -71.05459 42.46532 28.7 28.7
## 241 241 Melrose 21 3363 -71.04646 42.45084 22.6 22.6
## 242 242 Melrose 21 3364 -71.07098 42.44839 22.0 22.0
## 243 243 Stoneham 22 3371 -71.08909 42.46712 22.9 22.9
## 244 244 Stoneham 22 3372 -71.10448 42.49276 25.0 25.0
## 245 245 Stoneham 22 3373 -71.10645 42.46730 20.6 20.6
## 246 246 Winchester 23 3381 -71.12377 42.46575 28.4 28.4
## 247 247 Winchester 23 3382 -71.13764 42.46436 21.4 21.4
## 248 248 Winchester 23 3383 -71.14853 42.45423 38.7 38.7
## 249 249 Winchester 23 3384 -71.16511 42.44553 43.8 43.8
## 250 250 Winchester 23 3385 -71.13000 42.44860 33.2 33.2
## 251 251 Medford 24 3391 -71.11162 42.43556 27.5 27.5
## 252 252 Medford 24 3392 -71.13588 42.42786 26.5 26.5
## 253 253 Medford 24 3393 -71.13449 42.41895 18.6 18.6
## 254 254 Medford 24 3394 -71.12425 42.41473 19.3 19.3
## 255 255 Medford 24 3395 -71.11512 42.41223 20.1 20.1
## 256 256 Medford 24 3396 -71.11003 42.40331 19.5 19.5
## 257 257 Medford 24 3397 -71.10282 42.40547 19.5 19.5
## 258 258 Medford 24 3398 -71.08714 42.40758 20.4 20.4
## 259 259 Medford 24 3399 -71.09176 42.41816 19.8 19.8
## 260 260 Medford 24 3400 -71.09931 42.42298 19.4 19.4
## 261 261 Medford 24 3401 -71.09480 42.43277 21.7 21.7
## 262 262 Malden 25 3411 -71.08106 42.43346 22.8 22.8
## 263 263 Malden 25 3412 -71.08135 42.42114 18.8 18.8
## 264 264 Malden 25 3413 -71.07081 42.42748 18.7 18.7
## 265 265 Malden 25 3414 -71.06735 42.41828 18.5 18.5
## 266 266 Malden 25 3415 -71.05950 42.42466 18.3 18.3
## 267 267 Malden 25 3416 -71.06044 42.43607 21.2 21.2
## 268 268 Malden 25 3417 -71.04783 42.43631 19.2 19.2
## 269 269 Malden 25 3418 -71.04838 42.42753 20.4 20.4
## 270 270 Malden 25 3419 -71.03215 42.43477 19.3 19.3
## 271 271 Everett 26 3421 -71.03928 42.41589 22.0 22.0
## 272 272 Everett 26 3422 -71.05140 42.41770 20.3 20.3
## 273 273 Everett 26 3423 -71.06277 42.41225 20.5 20.5
## 274 274 Everett 26 3424 -71.06564 42.40697 17.3 17.3
## 275 275 Everett 26 3425 -71.05165 42.40721 18.8 18.8
## 276 276 Everett 26 3426 -71.04389 42.40477 21.4 21.4
## 277 277 Everett 26 3427 -71.06175 42.39576 15.7 15.7
## 278 278 Somerville 27 3501 -71.08639 42.39421 16.2 16.2
## 279 279 Somerville 27 3502 -71.09700 42.39097 18.0 18.0
## 280 280 Somerville 27 3503 -71.10688 42.39509 14.3 14.3
## 281 281 Somerville 27 3504 -71.11538 42.39834 19.2 19.2
## 282 282 Somerville 27 3505 -71.12268 42.39997 19.6 19.6
## 283 283 Somerville 27 3506 -71.12266 42.40482 23.0 23.0
## 284 284 Somerville 27 3507 -71.13049 42.40854 18.4 18.4
## 285 285 Somerville 27 3508 -71.12759 42.39989 15.6 15.6
## 286 286 Somerville 27 3509 -71.12059 42.39408 18.1 18.1
## 287 287 Somerville 27 3510 -71.11323 42.38913 17.4 17.4
## 288 288 Somerville 27 3511 -71.10503 42.38743 17.1 17.1
## 289 289 Somerville 27 3512 -71.10351 42.37951 13.3 13.3
## 290 290 Somerville 27 3513 -71.09572 42.38342 17.8 17.8
## 291 291 Somerville 27 3514 -71.08624 42.38492 14.0 14.0
## 292 292 Somerville 27 3515 -71.08552 42.37706 14.4 14.4
## 293 293 Cambridge 28 3521 -71.07586 42.36917 13.4 13.4
## 294 294 Cambridge 28 3522 -71.08605 42.37186 15.6 15.6
## 295 295 Cambridge 28 3523 -71.08405 42.36670 11.8 11.8
## 296 296 Cambridge 28 3524 -71.09070 42.36454 13.8 13.8
## 297 297 Cambridge 28 3525 -71.09844 42.36777 15.6 15.6
## 298 298 Cambridge 28 3526 -71.09186 42.36992 14.6 14.6
## 299 299 Cambridge 28 3527 -71.09441 42.37326 17.8 17.8
## 300 300 Cambridge 28 3528 -71.09749 42.37122 15.4 15.4
## 301 301 Cambridge 28 3529 -71.10398 42.37246 21.5 21.5
## 302 302 Cambridge 28 3530 -71.10453 42.36714 19.6 19.6
## 303 303 Cambridge 28 3531 -71.09371 42.35856 15.3 15.3
## 304 304 Cambridge 28 3532 -71.10653 42.35795 19.4 19.4
## 305 305 Cambridge 28 3533 -71.11191 42.35872 17.0 17.0
## 306 306 Cambridge 28 3534 -71.11405 42.36225 15.6 15.6
## 307 307 Cambridge 28 3535 -71.11123 42.36628 13.1 13.1
## 308 308 Cambridge 28 3536 -71.11551 42.38010 41.3 41.3
## 309 309 Cambridge 28 3537 -71.11338 42.37451 24.3 24.3
## 310 310 Cambridge 28 3538 -71.11051 42.37033 23.3 23.3
## 311 311 Cambridge 28 3539 -71.11785 42.36865 27.0 27.0
## 312 312 Cambridge 28 3540 -71.12272 42.38010 50.0 50.0
## 313 313 Cambridge 28 3541 -71.12624 42.37515 50.0 50.0
## 314 314 Cambridge 28 3542 -71.13808 42.37450 50.0 50.0
## 315 315 Cambridge 28 3543 -71.15074 42.38325 22.7 22.7
## 316 316 Cambridge 28 3544 -71.13817 42.38333 25.0 25.0
## 317 317 Cambridge 28 3545 -71.12413 42.38497 50.0 50.0
## 318 318 Cambridge 28 3546 -71.14212 42.38948 23.8 23.8
## 319 319 Cambridge 28 3547 -71.12343 42.38947 23.8 23.8
## 320 320 Cambridge 28 3548 -71.12844 42.39239 22.3 22.3
## 321 321 Cambridge 28 3549 -71.14230 42.39540 17.4 17.4
## 322 322 Cambridge 28 3550 -71.13255 42.39841 19.1 19.1
## 323 323 Arlington 29 3561 -71.14567 42.40148 23.1 23.1
## 324 324 Arlington 29 3562 -71.14314 42.40775 23.6 23.6
## 325 325 Arlington 29 3563 -71.14110 42.41365 22.6 22.6
## 326 326 Arlington 29 3564 -71.15910 42.42775 29.4 29.4
## 327 327 Arlington 29 3565 -71.18734 42.42455 23.2 23.2
## 328 328 Arlington 29 3566 -71.17773 42.41899 24.6 24.6
## 329 329 Arlington 29 3567 -71.16070 42.41166 29.9 29.9
## 330 330 Belmont 30 3571 -71.16654 42.40107 37.2 37.2
## 331 331 Belmont 30 3572 -71.16687 42.39107 39.8 39.8
## 332 332 Belmont 30 3573 -71.16068 42.38068 36.2 36.2
## 333 333 Belmont 30 3574 -71.16901 42.38126 37.9 37.9
## 334 334 Belmont 30 3575 -71.17643 42.38349 32.5 32.5
## 335 335 Belmont 30 3576 -71.18680 42.38323 26.4 26.4
## 336 336 Belmont 30 3577 -71.19455 42.39695 29.6 29.6
## 337 337 Belmont 30 3578 -71.18587 42.40313 50.0 50.0
## 338 338 Lexington 31 3581 -71.20717 42.42636 32.0 32.0
## 339 339 Lexington 31 3583 -71.23766 42.42429 29.8 29.8
## 340 340 Lexington 31 3584 -71.24417 42.43976 34.9 34.9
## 341 341 Lexington 31 3585 -71.20189 42.44772 37.0 33.0
## 342 342 Lexington 31 3586 -71.25168 42.45988 30.5 30.5
## 343 343 Lexington 31 3587 -71.23315 42.47020 36.4 36.4
## 344 344 Bedford 32 3591 -71.25787 42.50346 31.1 31.1
## 345 345 Bedford 32 3592 -71.27075 42.50371 29.1 29.1
## 346 346 Lincoln 33 3602 -71.31013 42.42516 50.0 50.0
## 347 347 Concord 34 3611 -71.37021 42.44212 33.3 33.3
## 348 348 Concord 34 3612 -71.40687 42.44641 30.3 30.3
## 349 349 Concord 34 3613 -71.34903 42.47699 34.6 34.6
## 350 350 Sudbury 35 3651 -71.41154 42.40346 34.9 34.9
## 351 351 Sudbury 35 3652 -71.43537 42.36643 32.9 32.9
## 352 352 Wayland 36 3661 -71.36667 42.32506 24.1 24.1
## 353 353 Wayland 36 3662 -71.35831 42.36510 42.3 42.3
## 354 354 Weston 37 3671 -71.30389 42.38477 48.5 48.5
## 355 355 Weston 37 3672 -71.29874 42.34617 50.0 50.0
## 356 356 Waltham 38 3681 -71.25424 42.40770 22.6 22.6
## 357 357 Waltham 38 3682 -71.26192 42.39038 24.4 24.4
## 358 358 Waltham 38 3683 -71.25416 42.37714 22.5 22.5
## 359 359 Waltham 38 3684 -71.25732 42.36591 24.4 24.4
## 360 360 Waltham 38 3685 -71.23845 42.36935 20.0 20.0
## 361 361 Waltham 38 3686 -71.24141 42.36223 21.7 21.7
## 362 362 Waltham 38 3687 -71.22772 42.36828 19.3 19.3
## 363 363 Waltham 38 3688 -71.22472 42.37349 22.4 22.4
## 364 364 Waltham 38 3689 -71.22804 42.39250 28.1 28.1
## 365 365 Waltham 38 3690 -71.21327 42.39703 23.7 23.7
## 366 366 Waltham 38 3691 -71.20687 42.38465 25.0 25.0
## 367 367 Watertown 39 3701 -71.19817 42.37176 23.3 23.3
## 368 368 Watertown 39 3702 -71.17663 42.37451 28.7 28.7
## 369 369 Watertown 39 3703 -71.15546 42.36734 21.5 21.5
## 370 370 Watertown 39 3704 -71.17713 42.36414 23.0 23.0
## 371 371 Newton 40 3731 -71.18423 42.35597 26.7 26.7
## 372 372 Newton 40 3732 -71.20135 42.36091 21.7 21.7
## 373 373 Newton 40 3733 -71.21028 42.35681 27.5 27.5
## 374 374 Newton 40 3734 -71.20280 42.34802 30.1 30.1
## 375 375 Newton 40 3735 -71.18327 42.34368 44.8 44.8
## 376 376 Newton 40 3736 -71.17559 42.32960 50.0 50.0
## 377 377 Newton 40 3737 -71.20487 42.33662 37.6 37.6
## 378 378 Newton 40 3738 -71.19289 42.32453 31.6 31.6
## 379 379 Newton 40 3739 -71.18300 42.30791 46.7 46.7
## 380 380 Newton 40 3740 -71.19782 42.29972 31.5 31.5
## 381 381 Newton 40 3741 -71.21603 42.31201 24.3 24.3
## 382 382 Newton 40 3742 -71.21398 42.32338 31.7 31.7
## 383 383 Newton 40 3743 -71.23695 42.32540 41.7 41.7
## 384 384 Newton 40 3744 -71.22640 42.33828 48.3 48.3
## 385 385 Newton 40 3745 -71.22319 42.35442 29.0 29.0
## 386 386 Newton 40 3746 -71.23131 42.35591 24.0 24.0
## 387 387 Newton 40 3747 -71.24878 42.35074 25.1 25.1
## 388 388 Newton 40 3748 -71.25272 42.33606 31.5 31.5
## 389 389 Natick 41 3821 -71.34272 42.31245 23.7 23.7
## 390 390 Natick 41 3822 -71.34051 42.29483 23.3 23.3
## 391 391 Natick 41 3823 -71.32688 42.26720 22.0 27.0
## 392 392 Natick 41 3824 -71.35888 42.27110 20.1 20.1
## 393 393 Natick 41 3825 -71.36734 42.29527 22.2 22.2
## 394 394 Natick 41 3826 -71.38780 42.28705 23.7 23.7
## 395 395 Framingham 42 3831 -71.40652 42.26941 17.6 17.6
## 396 396 Framingham 42 3832 -71.42786 42.26823 18.5 18.5
## 397 397 Framingham 42 3833 -71.43413 42.28238 24.3 24.3
## 398 398 Framingham 42 3834 -71.41149 42.28456 20.5 20.5
## 399 399 Framingham 42 3835 -71.42422 42.29470 24.5 24.5
## 400 400 Framingham 42 3836 -71.41487 42.30488 26.2 26.2
## 401 401 Framingham 42 3837 -71.39607 42.31728 24.4 24.4
## 402 402 Framingham 42 3838 -71.40588 42.33035 24.8 24.8
## 403 403 Framingham 42 3839 -71.45448 42.32784 29.6 29.6
## 404 404 Framingham 42 3840 -71.46760 42.29246 42.8 42.8
## 405 405 Ashland 43 3851 -71.48515 42.26586 21.9 21.9
## 406 406 Ashland 43 3852 -71.45008 42.24682 20.9 20.9
## 407 407 Sherborn 44 3861 -71.37553 42.23391 44.0 44.0
## 408 408 Brookline 45 4001 -71.11249 42.34540 50.0 50.0
## 409 409 Brookline 45 4002 -71.12043 42.34678 36.0 36.0
## 410 410 Brookline 45 4003 -71.12789 42.34675 30.1 30.1
## 411 411 Brookline 45 4004 -71.13311 42.34200 33.8 33.8
## 412 412 Brookline 45 4005 -71.13150 42.33714 43.1 43.1
## 413 413 Brookline 45 4006 -71.14011 42.33325 48.8 48.8
## 414 414 Brookline 45 4007 -71.12554 42.33301 31.0 31.0
## 415 415 Brookline 45 4008 -71.11827 42.33849 36.5 36.5
## 416 416 Brookline 45 4009 -71.11664 42.33300 22.8 22.8
## 417 417 Brookline 45 4010 -71.12170 42.32723 30.7 30.7
## 418 418 Brookline 45 4011 -71.14174 42.32280 50.0 50.0
## 419 419 Brookline 45 4012 -71.15634 42.31086 43.5 43.5
## 420 420 Dedham 46 4021 -71.17234 42.26026 20.7 20.7
## 421 421 Dedham 46 4022 -71.14572 42.23459 21.1 21.1
## 422 422 Dedham 46 4023 -71.15302 42.22387 25.2 25.2
## 423 423 Dedham 46 4024 -71.16712 42.23949 24.4 24.4
## 424 424 Dedham 46 4025 -71.19893 42.25151 35.2 35.2
## 425 425 Needham 47 4031 -71.20957 42.27980 32.4 32.4
## 426 426 Needham 47 4032 -71.22847 42.28804 32.0 32.0
## 427 427 Needham 47 4033 -71.24625 42.26646 33.2 33.2
## 428 428 Needham 47 4034 -71.26521 42.27922 33.1 33.1
## 429 429 Needham 47 4035 -71.23342 42.30222 29.1 29.1
## 430 430 Wellesley 48 4041 -71.24721 42.31311 35.1 35.1
## 431 431 Wellesley 48 4042 -71.27208 42.31177 45.4 45.4
## 432 432 Wellesley 48 4043 -71.30869 42.30735 35.4 35.4
## 433 433 Wellesley 48 4044 -71.29635 42.28812 46.0 46.0
## 434 434 Dover 49 4051 -71.28460 42.23638 50.0 50.0
## 435 435 Medfield 50 4061 -71.30524 42.18458 32.2 32.2
## 436 436 Millis 51 4071 -71.36284 42.16913 22.0 22.0
## 437 437 Norfolk 52 4091 -71.32959 42.11652 20.1 20.1
## 438 438 Walpole 53 4111 -71.25522 42.12167 23.2 23.2
## 439 439 Walpole 53 4112 -71.22163 42.15477 22.3 22.3
## 440 440 Walpole 53 4113 -71.26618 42.15842 24.8 24.8
## 441 441 Westwood 54 4121 -71.22828 42.20750 28.5 28.5
## 442 442 Westwood 54 4122 -71.22049 42.23423 37.3 37.3
## 443 443 Westwood 54 4123 -71.17229 42.21442 27.9 27.9
## 444 444 Norwood 55 4131 -71.17801 42.18834 23.9 23.9
## 445 445 Norwood 55 4132 -71.19527 42.20250 21.7 21.7
## 446 446 Norwood 55 4133 -71.21842 42.19407 28.6 28.6
## 447 447 Norwood 55 4134 -71.21599 42.18297 27.1 27.1
## 448 448 Norwood 55 4135 -71.19941 42.16790 20.3 20.3
## 449 449 Sharon 56 4141 -71.20514 42.12005 22.5 22.5
## 450 450 Sharon 56 4142 -71.16299 42.09192 29.0 29.0
## 451 451 Sharon 56 4143 -71.17099 42.12430 24.8 24.8
## 452 452 Canton 57 4151 -71.15126 42.16126 22.0 22.0
## 453 453 Canton 57 4152 -71.10404 42.16505 26.4 26.4
## 454 454 Canton 57 4153 -71.12627 42.19760 33.1 33.1
## 455 455 Milton 58 4161 -71.09121 42.23177 36.1 36.1
## 456 456 Milton 58 4162 -71.09656 42.25432 28.4 28.4
## 457 457 Milton 58 4163 -71.07864 42.26400 33.4 33.4
## 458 458 Milton 58 4164 -71.05003 42.26263 28.2 28.2
## 459 459 Quincy 59 4171 -71.02381 42.25948 22.8 22.8
## 460 460 Quincy 59 4172 -71.03437 42.27144 20.3 20.3
## 461 461 Quincy 59 4173 -71.03054 42.29703 16.1 16.1
## 462 462 Quincy 59 4174 -71.00174 42.30060 22.1 22.1
## 463 463 Quincy 59 4175 -71.01817 42.28267 19.4 19.4
## 464 464 Quincy 59 4176 -70.99157 42.28100 21.6 21.6
## 465 465 Quincy 59 4177 -70.99630 42.25633 23.8 23.8
## 466 466 Quincy 59 4178 -70.96261 42.26742 16.2 16.2
## 467 467 Quincy 59 4179 -70.98011 42.24588 17.8 17.8
## 468 468 Quincy 59 4180 -71.00764 42.23669 19.8 19.8
## 469 469 Quincy 59 4181 -71.01697 42.24955 23.1 23.1
## 470 470 Quincy 59 4182 -71.05312 42.22698 21.0 21.0
## 471 471 Braintree 60 4191 -71.02195 42.21756 23.8 23.8
## 472 472 Braintree 60 4192 -70.99478 42.22235 23.1 23.1
## 473 473 Braintree 60 4193 -70.98382 42.22773 20.4 20.4
## 474 474 Braintree 60 4194 -70.97054 42.23052 18.5 18.5
## 475 475 Braintree 60 4195 -70.97991 42.21070 25.0 25.0
## 476 476 Braintree 60 4196 -70.99304 42.18036 24.6 24.6
## 477 477 Braintree 60 4197 -71.00048 42.19247 23.0 23.0
## 478 478 Braintree 60 4198 -71.02312 42.20090 22.2 22.2
## 479 479 Randolph 61 4201 -71.04369 42.18847 19.3 19.3
## 480 480 Randolph 61 4202 -71.07374 42.18897 22.6 22.6
## 481 481 Randolph 61 4203 -71.04316 42.16073 19.8 19.8
## 482 482 Holbrook 62 4211 -71.01897 42.13780 17.1 17.1
## 483 483 Holbrook 62 4212 -70.99820 42.15233 19.4 19.4
## 484 484 Weymouth 63 4221 -70.96749 42.15921 22.2 22.2
## 485 485 Weymouth 63 4222 -70.94047 42.16522 20.7 20.7
## 486 486 Weymouth 63 4223 -70.94780 42.18938 21.1 21.1
## 487 487 Weymouth 63 4224 -70.95913 42.21036 19.5 19.5
## 488 488 Weymouth 63 4225 -70.93245 42.20920 18.5 18.5
## 489 489 Weymouth 63 4226 -70.93848 42.22769 20.6 20.6
## 490 490 Weymouth 63 4227 -70.94889 42.23914 19.0 19.0
## 491 491 Weymouth 63 4228 -70.93116 42.26458 18.7 18.7
## 492 492 Cohasset 64 4231 -70.81962 42.23582 32.7 32.7
## 493 493 Hull 65 5001 -70.88387 42.28517 16.5 16.5
## 494 494 Hingham 66 5011 -70.89334 42.25162 23.9 23.9
## 495 495 Hingham 66 5012 -70.88204 42.20163 31.2 31.2
## 496 496 Rockland 67 5021 -70.90759 42.11315 17.5 17.5
## 497 497 Rockland 67 5022 -70.91368 42.14872 17.2 17.2
## 498 498 Hanover 68 5031 -70.85693 42.12215 23.1 23.1
## 499 499 Norwell 69 5041 -70.81807 42.16055 24.5 24.5
## 500 500 Scituate 70 5051 -70.77468 42.21110 26.6 26.6
## 501 501 Scituate 70 5052 -70.73500 42.17794 22.9 22.9
## 502 502 Marshfield 71 5061 -70.73348 42.12808 24.1 24.1
## 503 503 Marshfield 71 5062 -70.68048 42.08674 18.6 18.6
## 504 504 Duxbury 72 5071 -70.71659 42.04673 30.1 30.1
## 505 505 Pembroke 73 5081 -70.80665 42.07781 18.2 18.2
## 506 506 Pembroke 73 5082 -70.79450 42.04597 20.6 20.6
## CRIM ZN INDUS CHAS NOX RM AGE DIS RAD TAX PTRATIO
## 1 8.98296 0.0 18.10 1 0.7700 6.212 97.4 2.1222 24 666 20.2
## 2 3.84970 0.0 18.10 1 0.7700 6.395 91.0 2.5052 24 666 20.2
## 3 5.20177 0.0 18.10 1 0.7700 6.127 83.4 2.7227 24 666 20.2
## 4 4.26131 0.0 18.10 0 0.7700 6.112 81.3 2.5091 24 666 20.2
## 5 4.54192 0.0 18.10 0 0.7700 6.398 88.0 2.5182 24 666 20.2
## 6 3.83684 0.0 18.10 0 0.7700 6.251 91.1 2.2955 24 666 20.2
## 7 3.67822 0.0 18.10 0 0.7700 5.362 96.2 2.1036 24 666 20.2
## 8 4.22239 0.0 18.10 1 0.7700 5.803 89.0 1.9047 24 666 20.2
## 9 3.47428 0.0 18.10 1 0.7180 8.780 82.9 1.9047 24 666 20.2
## 10 4.55587 0.0 18.10 0 0.7180 3.561 87.9 1.6132 24 666 20.2
## 11 3.69695 0.0 18.10 0 0.7180 4.963 91.4 1.7523 24 666 20.2
## 12 13.52220 0.0 18.10 0 0.6310 3.863 100.0 1.5106 24 666 20.2
## 13 4.89822 0.0 18.10 0 0.6310 4.970 100.0 1.3325 24 666 20.2
## 14 5.66998 0.0 18.10 1 0.6310 6.683 96.8 1.3567 24 666 20.2
## 15 6.53876 0.0 18.10 1 0.6310 7.016 97.5 1.2024 24 666 20.2
## 16 9.23230 0.0 18.10 0 0.6310 6.216 100.0 1.1691 24 666 20.2
## 17 8.26725 0.0 18.10 1 0.6680 5.875 89.6 1.1296 24 666 20.2
## 18 11.10810 0.0 18.10 0 0.6680 4.906 100.0 1.1742 24 666 20.2
## 19 18.49820 0.0 18.10 0 0.6680 4.138 100.0 1.1370 24 666 20.2
## 20 19.60910 0.0 18.10 0 0.6710 7.313 97.9 1.3163 24 666 20.2
## 21 15.28800 0.0 18.10 0 0.6710 6.649 93.3 1.3449 24 666 20.2
## 22 9.82349 0.0 18.10 0 0.6710 6.794 98.8 1.3580 24 666 20.2
## 23 23.64820 0.0 18.10 0 0.6710 6.380 96.2 1.3861 24 666 20.2
## 24 17.86670 0.0 18.10 0 0.6710 6.223 100.0 1.3861 24 666 20.2
## 25 88.97620 0.0 18.10 0 0.6710 6.968 91.9 1.4165 24 666 20.2
## 26 15.87440 0.0 18.10 0 0.6710 6.545 99.1 1.5192 24 666 20.2
## 27 9.18702 0.0 18.10 0 0.7000 5.536 100.0 1.5804 24 666 20.2
## 28 7.99248 0.0 18.10 0 0.7000 5.520 100.0 1.5331 24 666 20.2
## 29 20.08490 0.0 18.10 0 0.7000 4.368 91.2 1.4395 24 666 20.2
## 30 16.81180 0.0 18.10 0 0.7000 5.277 98.1 1.4261 24 666 20.2
## 31 24.39380 0.0 18.10 0 0.7000 4.652 100.0 1.4672 24 666 20.2
## 32 22.59710 0.0 18.10 0 0.7000 5.000 89.5 1.5184 24 666 20.2
## 33 14.33370 0.0 18.10 0 0.7000 4.880 100.0 1.5895 24 666 20.2
## 34 8.15174 0.0 18.10 0 0.7000 5.390 98.9 1.7281 24 666 20.2
## 35 6.96215 0.0 18.10 0 0.7000 5.713 97.0 1.9265 24 666 20.2
## 36 5.29305 0.0 18.10 0 0.7000 6.051 82.5 2.1678 24 666 20.2
## 37 11.57790 0.0 18.10 0 0.7000 5.036 97.0 1.7700 24 666 20.2
## 38 8.64476 0.0 18.10 0 0.6930 6.193 92.6 1.7912 24 666 20.2
## 39 13.35980 0.0 18.10 0 0.6930 5.887 94.7 1.7821 24 666 20.2
## 40 8.71675 0.0 18.10 0 0.6930 6.471 98.8 1.7257 24 666 20.2
## 41 5.87205 0.0 18.10 0 0.6930 6.405 96.0 1.6768 24 666 20.2
## 42 7.67202 0.0 18.10 0 0.6930 5.747 98.9 1.6334 24 666 20.2
## 43 38.35180 0.0 18.10 0 0.6930 5.453 100.0 1.4896 24 666 20.2
## 44 9.91655 0.0 18.10 0 0.6930 5.852 77.8 1.5004 24 666 20.2
## 45 25.04610 0.0 18.10 0 0.6930 5.987 100.0 1.5888 24 666 20.2
## 46 14.23620 0.0 18.10 0 0.6930 6.343 100.0 1.5741 24 666 20.2
## 47 9.59571 0.0 18.10 0 0.6930 6.404 100.0 1.6390 24 666 20.2
## 48 24.80170 0.0 18.10 0 0.6930 5.349 96.0 1.7028 24 666 20.2
## 49 41.52920 0.0 18.10 0 0.6930 5.531 85.4 1.6074 24 666 20.2
## 50 67.92080 0.0 18.10 0 0.6930 5.683 100.0 1.4254 24 666 20.2
## 51 20.71620 0.0 18.10 0 0.6590 4.138 100.0 1.1781 24 666 20.2
## 52 11.95110 0.0 18.10 0 0.6590 5.608 100.0 1.2852 24 666 20.2
## 53 7.40389 0.0 18.10 0 0.5970 5.617 97.9 1.4547 24 666 20.2
## 54 14.43830 0.0 18.10 0 0.5970 6.852 100.0 1.4655 24 666 20.2
## 55 51.13580 0.0 18.10 0 0.5970 5.757 100.0 1.4130 24 666 20.2
## 56 14.05070 0.0 18.10 0 0.5970 6.657 100.0 1.5275 24 666 20.2
## 57 18.81100 0.0 18.10 0 0.5970 4.628 100.0 1.5539 24 666 20.2
## 58 28.65580 0.0 18.10 0 0.5970 5.155 100.0 1.5894 24 666 20.2
## 59 45.74610 0.0 18.10 0 0.6930 4.519 100.0 1.6582 24 666 20.2
## 60 18.08460 0.0 18.10 0 0.6790 6.434 100.0 1.8347 24 666 20.2
## 61 10.83420 0.0 18.10 0 0.6790 6.782 90.8 1.8195 24 666 20.2
## 62 25.94060 0.0 18.10 0 0.6790 5.304 89.1 1.6475 24 666 20.2
## 63 73.53410 0.0 18.10 0 0.6790 5.957 100.0 1.8026 24 666 20.2
## 64 11.81230 0.0 18.10 0 0.7180 6.824 76.5 1.7940 24 666 20.2
## 65 11.08740 0.0 18.10 0 0.7180 6.411 100.0 1.8589 24 666 20.2
## 66 7.02259 0.0 18.10 0 0.7180 6.006 95.3 1.8746 24 666 20.2
## 67 12.04820 0.0 18.10 0 0.6140 5.648 87.6 1.9512 24 666 20.2
## 68 7.05042 0.0 18.10 0 0.6140 6.103 85.1 2.0218 24 666 20.2
## 69 8.79212 0.0 18.10 0 0.5840 5.565 70.6 2.0635 24 666 20.2
## 70 15.86030 0.0 18.10 0 0.6790 5.896 95.4 1.9096 24 666 20.2
## 71 12.24720 0.0 18.10 0 0.5840 5.837 59.7 1.9976 24 666 20.2
## 72 37.66190 0.0 18.10 0 0.6790 6.202 78.7 1.8629 24 666 20.2
## 73 7.36711 0.0 18.10 0 0.6790 6.193 78.1 1.9356 24 666 20.2
## 74 9.33889 0.0 18.10 0 0.6790 6.380 95.6 1.9682 24 666 20.2
## 75 8.49213 0.0 18.10 0 0.5840 6.348 86.1 2.0527 24 666 20.2
## 76 10.06230 0.0 18.10 0 0.5840 6.833 94.3 2.0882 24 666 20.2
## 77 6.44405 0.0 18.10 0 0.5840 6.425 74.8 2.2004 24 666 20.2
## 78 5.58107 0.0 18.10 0 0.7130 6.436 87.9 2.3158 24 666 20.2
## 79 13.91340 0.0 18.10 0 0.7130 6.208 95.0 2.2222 24 666 20.2
## 80 11.16040 0.0 18.10 0 0.7400 6.629 94.6 2.1247 24 666 20.2
## 81 14.42080 0.0 18.10 0 0.7400 6.461 93.3 2.0026 24 666 20.2
## 82 15.17720 0.0 18.10 0 0.7400 6.152 100.0 1.9142 24 666 20.2
## 83 13.67810 0.0 18.10 0 0.7400 5.935 87.9 1.8206 24 666 20.2
## 84 9.39063 0.0 18.10 0 0.7400 5.627 93.9 1.8172 24 666 20.2
## 85 22.05110 0.0 18.10 0 0.7400 5.818 92.4 1.8662 24 666 20.2
## 86 9.72418 0.0 18.10 0 0.7400 6.406 97.2 2.0651 24 666 20.2
## 87 5.66637 0.0 18.10 0 0.7400 6.219 100.0 2.0048 24 666 20.2
## 88 9.96654 0.0 18.10 0 0.7400 6.485 100.0 1.9784 24 666 20.2
## 89 12.80230 0.0 18.10 0 0.7400 5.854 96.6 1.8956 24 666 20.2
## 90 10.67180 0.0 18.10 0 0.7400 6.459 94.8 1.9879 24 666 20.2
## 91 6.28807 0.0 18.10 0 0.7400 6.341 96.4 2.0720 24 666 20.2
## 92 9.92485 0.0 18.10 0 0.7400 6.251 96.6 2.1980 24 666 20.2
## 93 9.32909 0.0 18.10 0 0.7130 6.185 98.7 2.2616 24 666 20.2
## 94 7.52601 0.0 18.10 0 0.7130 6.417 98.3 2.1850 24 666 20.2
## 95 6.71772 0.0 18.10 0 0.7130 6.749 92.6 2.3236 24 666 20.2
## 96 5.44114 0.0 18.10 0 0.7130 6.655 98.2 2.3552 24 666 20.2
## 97 5.09017 0.0 18.10 0 0.7130 6.297 91.8 2.3682 24 666 20.2
## 98 8.24809 0.0 18.10 0 0.7130 7.393 99.3 2.4527 24 666 20.2
## 99 9.51363 0.0 18.10 0 0.7130 6.728 94.1 2.4961 24 666 20.2
## 100 4.75237 0.0 18.10 0 0.7130 6.525 86.5 2.4358 24 666 20.2
## 101 4.66883 0.0 18.10 0 0.7130 5.976 87.9 2.5806 24 666 20.2
## 102 8.20058 0.0 18.10 0 0.7130 5.936 80.3 2.7792 24 666 20.2
## 103 7.75223 0.0 18.10 0 0.7130 6.301 83.7 2.7831 24 666 20.2
## 104 6.80117 0.0 18.10 0 0.7130 6.081 84.4 2.7175 24 666 20.2
## 105 4.81213 0.0 18.10 0 0.7130 6.701 90.0 2.5975 24 666 20.2
## 106 3.69311 0.0 18.10 0 0.7130 6.376 88.4 2.5671 24 666 20.2
## 107 6.65492 0.0 18.10 0 0.7130 6.317 83.0 2.7344 24 666 20.2
## 108 5.82115 0.0 18.10 0 0.7130 6.513 89.9 2.8016 24 666 20.2
## 109 7.83932 0.0 18.10 0 0.6550 6.209 65.4 2.9634 24 666 20.2
## 110 3.16360 0.0 18.10 0 0.6550 5.759 48.2 3.0665 24 666 20.2
## 111 3.77498 0.0 18.10 0 0.6550 5.952 84.7 2.8715 24 666 20.2
## 112 4.42228 0.0 18.10 0 0.5840 6.003 94.5 2.5403 24 666 20.2
## 113 15.57570 0.0 18.10 0 0.5800 5.926 71.0 2.9084 24 666 20.2
## 114 13.07510 0.0 18.10 0 0.5800 5.713 56.7 2.8237 24 666 20.2
## 115 4.34879 0.0 18.10 0 0.5800 6.167 84.0 3.0334 24 666 20.2
## 116 4.03841 0.0 18.10 0 0.5320 6.229 90.7 3.0993 24 666 20.2
## 117 3.56868 0.0 18.10 0 0.5800 6.437 75.0 2.8965 24 666 20.2
## 118 4.64689 0.0 18.10 0 0.6140 6.980 67.6 2.5329 24 666 20.2
## 119 8.05579 0.0 18.10 0 0.5840 5.427 95.4 2.4298 24 666 20.2
## 120 6.39312 0.0 18.10 0 0.5840 6.162 97.4 2.2060 24 666 20.2
## 121 4.87141 0.0 18.10 0 0.6140 6.484 93.6 2.3053 24 666 20.2
## 122 15.02340 0.0 18.10 0 0.6140 5.304 97.3 2.1007 24 666 20.2
## 123 10.23300 0.0 18.10 0 0.6140 6.185 96.7 2.1705 24 666 20.2
## 124 14.33370 0.0 18.10 0 0.6140 6.229 88.0 1.9512 24 666 20.2
## 125 5.82401 0.0 18.10 0 0.5320 6.242 64.7 3.4242 24 666 20.2
## 126 5.70818 0.0 18.10 0 0.5320 6.750 74.9 3.3317 24 666 20.2
## 127 5.73116 0.0 18.10 0 0.5320 7.061 77.0 3.4106 24 666 20.2
## 128 2.81838 0.0 18.10 0 0.5320 5.762 40.3 4.0983 24 666 20.2
## 129 2.37857 0.0 18.10 0 0.5830 5.871 41.9 3.7240 24 666 20.2
## 130 3.67367 0.0 18.10 0 0.5830 6.312 51.9 3.9917 24 666 20.2
## 131 5.69175 0.0 18.10 0 0.5830 6.114 79.8 3.5459 24 666 20.2
## 132 4.83567 0.0 18.10 0 0.5830 5.905 53.2 3.1523 24 666 20.2
## 133 0.15086 0.0 27.74 0 0.6090 5.454 92.7 1.8209 4 711 20.1
## 134 0.18337 0.0 27.74 0 0.6090 5.414 98.3 1.7554 4 711 20.1
## 135 0.20746 0.0 27.74 0 0.6090 5.093 98.0 1.8226 4 711 20.1
## 136 0.10574 0.0 27.74 0 0.6090 5.983 98.8 1.8681 4 711 20.1
## 137 0.11132 0.0 27.74 0 0.6090 5.983 83.5 2.1099 4 711 20.1
## 138 0.17331 0.0 9.69 0 0.5850 5.707 54.0 2.3817 6 391 19.2
## 139 0.27957 0.0 9.69 0 0.5850 5.926 42.6 2.3817 6 391 19.2
## 140 0.17899 0.0 9.69 0 0.5850 5.670 28.8 2.7986 6 391 19.2
## 141 0.28960 0.0 9.69 0 0.5850 5.390 72.9 2.7986 6 391 19.2
## 142 0.26838 0.0 9.69 0 0.5850 5.794 70.6 2.8927 6 391 19.2
## 143 0.23912 0.0 9.69 0 0.5850 6.019 65.3 2.4091 6 391 19.2
## 144 0.17783 0.0 9.69 0 0.5850 5.569 73.5 2.3999 6 391 19.2
## 145 0.22438 0.0 9.69 0 0.5850 6.027 79.7 2.4982 6 391 19.2
## 146 0.06263 0.0 11.93 0 0.5730 6.593 69.1 2.4786 1 273 21.0
## 147 0.04527 0.0 11.93 0 0.5730 6.120 76.7 2.2875 1 273 21.0
## 148 0.06076 0.0 11.93 0 0.5730 6.976 91.0 2.1675 1 273 21.0
## 149 0.10959 0.0 11.93 0 0.5730 6.794 89.3 2.3889 1 273 21.0
## 150 0.04741 0.0 11.93 0 0.5730 6.030 80.8 2.5050 1 273 21.0
## 151 0.00632 18.0 2.31 0 0.5380 6.575 65.2 4.0900 1 296 15.3
## 152 0.02731 0.0 7.07 0 0.4690 6.421 78.9 4.9671 2 242 17.8
## 153 0.02729 0.0 7.07 0 0.4690 7.185 61.1 4.9671 2 242 17.8
## 154 0.03237 0.0 2.18 0 0.4580 6.998 45.8 6.0622 3 222 18.7
## 155 0.06905 0.0 2.18 0 0.4580 7.147 54.2 6.0622 3 222 18.7
## 156 0.02985 0.0 2.18 0 0.4580 6.430 58.7 6.0622 3 222 18.7
## 157 0.08829 12.5 7.87 0 0.5240 6.012 66.6 5.5605 5 311 15.2
## 158 0.14455 12.5 7.87 0 0.5240 6.172 96.1 5.9505 5 311 15.2
## 159 0.21124 12.5 7.87 0 0.5240 5.631 100.0 6.0821 5 311 15.2
## 160 0.17004 12.5 7.87 0 0.5240 6.004 85.9 6.5921 5 311 15.2
## 161 0.22489 12.5 7.87 0 0.5240 6.377 94.3 6.3467 5 311 15.2
## 162 0.11747 12.5 7.87 0 0.5240 6.009 82.9 6.2267 5 311 15.2
## 163 0.09378 12.5 7.87 0 0.5240 5.889 39.0 5.4509 5 311 15.2
## 164 0.62976 0.0 8.14 0 0.5380 5.949 61.8 4.7075 4 307 21.0
## 165 0.63796 0.0 8.14 0 0.5380 6.096 84.5 4.4619 4 307 21.0
## 166 0.62739 0.0 8.14 0 0.5380 5.834 56.5 4.4986 4 307 21.0
## 167 1.05393 0.0 8.14 0 0.5380 5.935 29.3 4.4986 4 307 21.0
## 168 0.78420 0.0 8.14 0 0.5380 5.990 81.7 4.2579 4 307 21.0
## 169 0.80271 0.0 8.14 0 0.5380 5.456 36.6 3.7965 4 307 21.0
## 170 0.72580 0.0 8.14 0 0.5380 5.727 69.5 3.7965 4 307 21.0
## 171 1.25179 0.0 8.14 0 0.5380 5.570 98.1 3.7979 4 307 21.0
## 172 0.85204 0.0 8.14 0 0.5380 5.965 89.2 4.0123 4 307 21.0
## 173 1.23247 0.0 8.14 0 0.5380 6.142 91.7 3.9769 4 307 21.0
## 174 0.98843 0.0 8.14 0 0.5380 5.813 100.0 4.0952 4 307 21.0
## 175 0.75026 0.0 8.14 0 0.5380 5.924 94.1 4.3996 4 307 21.0
## 176 0.84054 0.0 8.14 0 0.5380 5.599 85.7 4.4546 4 307 21.0
## 177 0.67191 0.0 8.14 0 0.5380 5.813 90.3 4.6820 4 307 21.0
## 178 0.95577 0.0 8.14 0 0.5380 6.047 88.8 4.4534 4 307 21.0
## 179 0.77299 0.0 8.14 0 0.5380 6.495 94.4 4.4547 4 307 21.0
## 180 1.00245 0.0 8.14 0 0.5380 6.674 87.3 4.2390 4 307 21.0
## 181 1.13081 0.0 8.14 0 0.5380 5.713 94.1 4.2330 4 307 21.0
## 182 1.35472 0.0 8.14 0 0.5380 6.072 100.0 4.1750 4 307 21.0
## 183 1.38799 0.0 8.14 0 0.5380 5.950 82.0 3.9900 4 307 21.0
## 184 1.15172 0.0 8.14 0 0.5380 5.701 95.0 3.7872 4 307 21.0
## 185 1.61282 0.0 8.14 0 0.5380 6.096 96.9 3.7598 4 307 21.0
## 186 0.06417 0.0 5.96 0 0.4990 5.933 68.2 3.3603 5 279 19.2
## 187 0.09744 0.0 5.96 0 0.4990 5.841 61.4 3.3779 5 279 19.2
## 188 0.08014 0.0 5.96 0 0.4990 5.850 41.5 3.9342 5 279 19.2
## 189 0.17505 0.0 5.96 0 0.4990 5.966 30.2 3.8473 5 279 19.2
## 190 0.02763 75.0 2.95 0 0.4280 6.595 21.8 5.4011 3 252 18.3
## 191 0.03359 75.0 2.95 0 0.4280 7.024 15.8 5.4011 3 252 18.3
## 192 0.12744 0.0 6.91 0 0.4480 6.770 2.9 5.7209 3 233 17.9
## 193 0.14150 0.0 6.91 0 0.4480 6.169 6.6 5.7209 3 233 17.9
## 194 0.15936 0.0 6.91 0 0.4480 6.211 6.5 5.7209 3 233 17.9
## 195 0.12269 0.0 6.91 0 0.4480 6.069 40.0 5.7209 3 233 17.9
## 196 0.17142 0.0 6.91 0 0.4480 5.682 33.8 5.1004 3 233 17.9
## 197 0.18836 0.0 6.91 0 0.4480 5.786 33.3 5.1004 3 233 17.9
## 198 0.22927 0.0 6.91 0 0.4480 6.030 85.5 5.6894 3 233 17.9
## 199 0.25387 0.0 6.91 0 0.4480 5.399 95.3 5.8700 3 233 17.9
## 200 0.21977 0.0 6.91 0 0.4480 5.602 62.0 6.0877 3 233 17.9
## 201 0.08873 21.0 5.64 0 0.4390 5.963 45.7 6.8147 4 243 16.8
## 202 0.04337 21.0 5.64 0 0.4390 6.115 63.0 6.8147 4 243 16.8
## 203 0.05360 21.0 5.64 0 0.4390 6.511 21.1 6.8147 4 243 16.8
## 204 0.04981 21.0 5.64 0 0.4390 5.998 21.4 6.8147 4 243 16.8
## 205 0.01360 75.0 4.00 0 0.4100 5.888 47.6 7.3197 3 469 21.1
## 206 0.01311 90.0 1.22 0 0.4030 7.249 21.9 8.6966 5 226 17.9
## 207 0.02055 85.0 0.74 0 0.4100 6.383 35.7 9.1876 2 313 17.3
## 208 0.01432 100.0 1.32 0 0.4110 6.816 40.5 8.3248 5 256 15.1
## 209 0.15445 25.0 5.13 0 0.4530 6.145 29.2 7.8148 8 284 19.7
## 210 0.10328 25.0 5.13 0 0.4530 5.927 47.2 6.9320 8 284 19.7
## 211 0.14932 25.0 5.13 0 0.4530 5.741 66.2 7.2254 8 284 19.7
## 212 0.17171 25.0 5.13 0 0.4530 5.966 93.4 6.8185 8 284 19.7
## 213 0.11027 25.0 5.13 0 0.4530 6.456 67.8 7.2255 8 284 19.7
## 214 0.12650 25.0 5.13 0 0.4530 6.762 43.4 7.9809 8 284 19.7
## 215 0.01951 17.5 1.38 0 0.4161 7.104 59.5 9.2229 3 216 18.6
## 216 0.03584 80.0 3.37 0 0.3980 6.290 17.8 6.6115 4 337 16.1
## 217 0.04379 80.0 3.37 0 0.3980 5.787 31.1 6.6115 4 337 16.1
## 218 0.05789 12.5 6.07 0 0.4090 5.878 21.4 6.4980 4 345 18.9
## 219 0.13554 12.5 6.07 0 0.4090 5.594 36.8 6.4980 4 345 18.9
## 220 0.12816 12.5 6.07 0 0.4090 5.885 33.0 6.4980 4 345 18.9
## 221 0.08826 0.0 10.81 0 0.4130 6.417 6.6 5.2873 4 305 19.2
## 222 0.15876 0.0 10.81 0 0.4130 5.961 17.5 5.2873 4 305 19.2
## 223 0.09164 0.0 10.81 0 0.4130 6.065 7.8 5.2873 4 305 19.2
## 224 0.19539 0.0 10.81 0 0.4130 6.245 6.2 5.2873 4 305 19.2
## 225 0.07896 0.0 12.83 0 0.4370 6.273 6.0 4.2515 5 398 18.7
## 226 0.09512 0.0 12.83 0 0.4370 6.286 45.0 4.5026 5 398 18.7
## 227 0.10153 0.0 12.83 0 0.4370 6.279 74.5 4.0522 5 398 18.7
## 228 0.08707 0.0 12.83 0 0.4370 6.140 45.8 4.0905 5 398 18.7
## 229 0.05646 0.0 12.83 0 0.4370 6.232 53.7 5.0141 5 398 18.7
## 230 0.08387 0.0 12.83 0 0.4370 5.874 36.6 4.5026 5 398 18.7
## 231 0.04113 25.0 4.86 0 0.4260 6.727 33.5 5.4007 4 281 19.0
## 232 0.04462 25.0 4.86 0 0.4260 6.619 70.4 5.4007 4 281 19.0
## 233 0.03659 25.0 4.86 0 0.4260 6.302 32.2 5.4007 4 281 19.0
## 234 0.03551 25.0 4.86 0 0.4260 6.167 46.7 5.4007 4 281 19.0
## 235 0.05059 0.0 4.49 0 0.4490 6.389 48.0 4.7794 3 247 18.5
## 236 0.05735 0.0 4.49 0 0.4490 6.630 56.1 4.4377 3 247 18.5
## 237 0.05188 0.0 4.49 0 0.4490 6.015 45.1 4.4272 3 247 18.5
## 238 0.07151 0.0 4.49 0 0.4490 6.121 56.8 3.7476 3 247 18.5
## 239 0.05660 0.0 3.41 0 0.4890 7.007 86.3 3.4217 2 270 17.8
## 240 0.05302 0.0 3.41 0 0.4890 7.079 63.1 3.4145 2 270 17.8
## 241 0.04684 0.0 3.41 0 0.4890 6.417 66.1 3.0923 2 270 17.8
## 242 0.03932 0.0 3.41 0 0.4890 6.405 73.9 3.0921 2 270 17.8
## 243 0.04203 28.0 15.04 0 0.4640 6.442 53.6 3.6659 4 270 18.2
## 244 0.02875 28.0 15.04 0 0.4640 6.211 28.9 3.6659 4 270 18.2
## 245 0.04294 28.0 15.04 0 0.4640 6.249 77.3 3.6150 4 270 18.2
## 246 0.12204 0.0 2.89 0 0.4450 6.625 57.8 3.4952 2 276 18.0
## 247 0.11504 0.0 2.89 0 0.4450 6.163 69.6 3.4952 2 276 18.0
## 248 0.12083 0.0 2.89 0 0.4450 8.069 76.0 3.4952 2 276 18.0
## 249 0.08187 0.0 2.89 0 0.4450 7.820 36.9 3.4952 2 276 18.0
## 250 0.06860 0.0 2.89 0 0.4450 7.416 62.5 3.4952 2 276 18.0
## 251 0.14866 0.0 8.56 0 0.5200 6.727 79.9 2.7778 5 384 20.9
## 252 0.11432 0.0 8.56 0 0.5200 6.781 71.3 2.8561 5 384 20.9
## 253 0.22876 0.0 8.56 0 0.5200 6.405 85.4 2.7147 5 384 20.9
## 254 0.21161 0.0 8.56 0 0.5200 6.137 87.4 2.7147 5 384 20.9
## 255 0.13960 0.0 8.56 0 0.5200 6.167 90.0 2.4210 5 384 20.9
## 256 0.13262 0.0 8.56 0 0.5200 5.851 96.7 2.1069 5 384 20.9
## 257 0.17120 0.0 8.56 0 0.5200 5.836 91.9 2.2110 5 384 20.9
## 258 0.13117 0.0 8.56 0 0.5200 6.127 85.2 2.1224 5 384 20.9
## 259 0.12802 0.0 8.56 0 0.5200 6.474 97.1 2.4329 5 384 20.9
## 260 0.26363 0.0 8.56 0 0.5200 6.229 91.2 2.5451 5 384 20.9
## 261 0.10793 0.0 8.56 0 0.5200 6.195 54.4 2.7778 5 384 20.9
## 262 0.10084 0.0 10.01 0 0.5470 6.715 81.6 2.6775 6 432 17.8
## 263 0.12329 0.0 10.01 0 0.5470 5.913 92.9 2.3534 6 432 17.8
## 264 0.22212 0.0 10.01 0 0.5470 6.092 95.4 2.5480 6 432 17.8
## 265 0.14231 0.0 10.01 0 0.5470 6.254 84.2 2.2565 6 432 17.8
## 266 0.17134 0.0 10.01 0 0.5470 5.928 88.2 2.4631 6 432 17.8
## 267 0.13158 0.0 10.01 0 0.5470 6.176 72.5 2.7301 6 432 17.8
## 268 0.15098 0.0 10.01 0 0.5470 6.021 82.6 2.7474 6 432 17.8
## 269 0.13058 0.0 10.01 0 0.5470 5.872 73.1 2.4775 6 432 17.8
## 270 0.14476 0.0 10.01 0 0.5470 5.731 65.2 2.7592 6 432 17.8
## 271 0.06899 0.0 25.65 0 0.5810 5.870 69.7 2.2577 2 188 19.1
## 272 0.07165 0.0 25.65 0 0.5810 6.004 84.1 2.1974 2 188 19.1
## 273 0.09299 0.0 25.65 0 0.5810 5.961 92.9 2.0869 2 188 19.1
## 274 0.15038 0.0 25.65 0 0.5810 5.856 97.0 1.9444 2 188 19.1
## 275 0.09849 0.0 25.65 0 0.5810 5.879 95.8 2.0063 2 188 19.1
## 276 0.16902 0.0 25.65 0 0.5810 5.986 88.4 1.9929 2 188 19.1
## 277 0.38735 0.0 25.65 0 0.5810 5.613 95.6 1.7572 2 188 19.1
## 278 0.25915 0.0 21.89 0 0.6240 5.693 96.0 1.7883 4 437 21.2
## 279 0.32543 0.0 21.89 0 0.6240 6.431 98.8 1.8125 4 437 21.2
## 280 0.88125 0.0 21.89 0 0.6240 5.637 94.7 1.9799 4 437 21.2
## 281 0.34006 0.0 21.89 0 0.6240 6.458 98.9 2.1185 4 437 21.2
## 282 1.19294 0.0 21.89 0 0.6240 6.326 97.7 2.2710 4 437 21.2
## 283 0.59005 0.0 21.89 0 0.6240 6.372 97.9 2.3274 4 437 21.2
## 284 0.32982 0.0 21.89 0 0.6240 5.822 95.4 2.4699 4 437 21.2
## 285 0.97617 0.0 21.89 0 0.6240 5.757 98.4 2.3460 4 437 21.2
## 286 0.55778 0.0 21.89 0 0.6240 6.335 98.2 2.1107 4 437 21.2
## 287 0.32264 0.0 21.89 0 0.6240 5.942 93.5 1.9669 4 437 21.2
## 288 0.35233 0.0 21.89 0 0.6240 6.454 98.4 1.8498 4 437 21.2
## 289 0.24980 0.0 21.89 0 0.6240 5.857 98.2 1.6686 4 437 21.2
## 290 0.54452 0.0 21.89 0 0.6240 6.151 97.9 1.6687 4 437 21.2
## 291 0.29090 0.0 21.89 0 0.6240 6.174 93.6 1.6119 4 437 21.2
## 292 1.62864 0.0 21.89 0 0.6240 5.019 100.0 1.4394 4 437 21.2
## 293 3.32105 0.0 19.58 1 0.8710 5.403 100.0 1.3216 5 403 14.7
## 294 4.09740 0.0 19.58 0 0.8710 5.468 100.0 1.4118 5 403 14.7
## 295 2.77974 0.0 19.58 0 0.8710 4.903 97.8 1.3459 5 403 14.7
## 296 2.37934 0.0 19.58 0 0.8710 6.130 100.0 1.4191 5 403 14.7
## 297 2.15505 0.0 19.58 0 0.8710 5.628 100.0 1.5166 5 403 14.7
## 298 2.36862 0.0 19.58 0 0.8710 4.926 95.7 1.4608 5 403 14.7
## 299 2.33099 0.0 19.58 0 0.8710 5.186 93.8 1.5296 5 403 14.7
## 300 2.73397 0.0 19.58 0 0.8710 5.597 94.9 1.5257 5 403 14.7
## 301 1.65660 0.0 19.58 0 0.8710 6.122 97.3 1.6180 5 403 14.7
## 302 1.49632 0.0 19.58 0 0.8710 5.404 100.0 1.5916 5 403 14.7
## 303 1.12658 0.0 19.58 1 0.8710 5.012 88.0 1.6102 5 403 14.7
## 304 2.14918 0.0 19.58 0 0.8710 5.709 98.5 1.6232 5 403 14.7
## 305 1.41385 0.0 19.58 1 0.8710 6.129 96.0 1.7494 5 403 14.7
## 306 3.53501 0.0 19.58 1 0.8710 6.152 82.6 1.7455 5 403 14.7
## 307 2.44668 0.0 19.58 0 0.8710 5.272 94.0 1.7364 5 403 14.7
## 308 1.22358 0.0 19.58 0 0.6050 6.943 97.4 1.8773 5 403 14.7
## 309 1.34284 0.0 19.58 0 0.6050 6.066 100.0 1.7573 5 403 14.7
## 310 1.42502 0.0 19.58 0 0.8710 6.510 100.0 1.7659 5 403 14.7
## 311 1.27346 0.0 19.58 1 0.6050 6.250 92.6 1.7984 5 403 14.7
## 312 1.46336 0.0 19.58 0 0.6050 7.489 90.8 1.9709 5 403 14.7
## 313 1.83377 0.0 19.58 1 0.6050 7.802 98.2 2.0407 5 403 14.7
## 314 1.51902 0.0 19.58 1 0.6050 8.375 93.9 2.1620 5 403 14.7
## 315 2.24236 0.0 19.58 0 0.6050 5.854 91.8 2.4220 5 403 14.7
## 316 2.92400 0.0 19.58 0 0.6050 6.101 93.0 2.2834 5 403 14.7
## 317 2.01019 0.0 19.58 0 0.6050 7.929 96.2 2.0459 5 403 14.7
## 318 1.80028 0.0 19.58 0 0.6050 5.877 79.2 2.4259 5 403 14.7
## 319 2.30040 0.0 19.58 0 0.6050 6.319 96.1 2.1000 5 403 14.7
## 320 2.44953 0.0 19.58 0 0.6050 6.402 95.2 2.2625 5 403 14.7
## 321 1.20742 0.0 19.58 0 0.6050 5.875 94.6 2.4259 5 403 14.7
## 322 2.31390 0.0 19.58 0 0.6050 5.880 97.3 2.3887 5 403 14.7
## 323 0.13914 0.0 4.05 0 0.5100 5.572 88.5 2.5961 5 296 16.6
## 324 0.09178 0.0 4.05 0 0.5100 6.416 84.1 2.6463 5 296 16.6
## 325 0.08447 0.0 4.05 0 0.5100 5.859 68.7 2.7019 5 296 16.6
## 326 0.06664 0.0 4.05 0 0.5100 6.546 33.1 3.1323 5 296 16.6
## 327 0.07022 0.0 4.05 0 0.5100 6.020 47.2 3.5549 5 296 16.6
## 328 0.05425 0.0 4.05 0 0.5100 6.315 73.4 3.3175 5 296 16.6
## 329 0.06642 0.0 4.05 0 0.5100 6.860 74.4 2.9153 5 296 16.6
## 330 0.05780 0.0 2.46 0 0.4880 6.980 58.4 2.8290 3 193 17.8
## 331 0.06588 0.0 2.46 0 0.4880 7.765 83.3 2.7410 3 193 17.8
## 332 0.06888 0.0 2.46 0 0.4880 6.144 62.2 2.5979 3 193 17.8
## 333 0.09103 0.0 2.46 0 0.4880 7.155 92.2 2.7006 3 193 17.8
## 334 0.10008 0.0 2.46 0 0.4880 6.563 95.6 2.8470 3 193 17.8
## 335 0.08308 0.0 2.46 0 0.4880 5.604 89.8 2.9879 3 193 17.8
## 336 0.06047 0.0 2.46 0 0.4880 6.153 68.8 3.2797 3 193 17.8
## 337 0.05602 0.0 2.46 0 0.4880 7.831 53.6 3.1992 3 193 17.8
## 338 0.07875 45.0 3.44 0 0.4370 6.782 41.1 3.7886 5 398 15.2
## 339 0.12579 45.0 3.44 0 0.4370 6.556 29.1 4.5667 5 398 15.2
## 340 0.08370 45.0 3.44 0 0.4370 7.185 38.9 4.5667 5 398 15.2
## 341 0.09068 45.0 3.44 0 0.4370 6.951 21.5 6.4798 5 398 15.2
## 342 0.06911 45.0 3.44 0 0.4370 6.739 30.8 6.4798 5 398 15.2
## 343 0.08664 45.0 3.44 0 0.4370 7.178 26.3 6.4798 5 398 15.2
## 344 0.02187 60.0 2.93 0 0.4010 6.800 9.9 6.2196 1 265 15.6
## 345 0.01439 60.0 2.93 0 0.4010 6.604 18.8 6.2196 1 265 15.6
## 346 0.01381 80.0 0.46 0 0.4220 7.875 32.0 5.6484 4 255 14.4
## 347 0.04011 80.0 1.52 0 0.4040 7.287 34.1 7.3090 2 329 12.6
## 348 0.04666 80.0 1.52 0 0.4040 7.107 36.6 7.3090 2 329 12.6
## 349 0.03768 80.0 1.52 0 0.4040 7.274 38.3 7.3090 2 329 12.6
## 350 0.03150 95.0 1.47 0 0.4030 6.975 15.3 7.6534 3 402 17.0
## 351 0.01778 95.0 1.47 0 0.4030 7.135 13.9 7.6534 3 402 17.0
## 352 0.03445 82.5 2.03 0 0.4150 6.162 38.4 6.2700 2 348 14.7
## 353 0.02177 82.5 2.03 0 0.4150 7.610 15.7 6.2700 2 348 14.7
## 354 0.03510 95.0 2.68 0 0.4161 7.853 33.2 5.1180 4 224 14.7
## 355 0.02009 95.0 2.68 0 0.4161 8.034 31.9 5.1180 4 224 14.7
## 356 0.13642 0.0 10.59 0 0.4890 5.891 22.3 3.9454 4 277 18.6
## 357 0.22969 0.0 10.59 0 0.4890 6.326 52.5 4.3549 4 277 18.6
## 358 0.25199 0.0 10.59 0 0.4890 5.783 72.7 4.3549 4 277 18.6
## 359 0.13587 0.0 10.59 1 0.4890 6.064 59.1 4.2392 4 277 18.6
## 360 0.43571 0.0 10.59 1 0.4890 5.344 100.0 3.8750 4 277 18.6
## 361 0.17446 0.0 10.59 1 0.4890 5.960 92.1 3.8771 4 277 18.6
## 362 0.37578 0.0 10.59 1 0.4890 5.404 88.6 3.6650 4 277 18.6
## 363 0.21719 0.0 10.59 1 0.4890 5.807 53.8 3.6526 4 277 18.6
## 364 0.14052 0.0 10.59 0 0.4890 6.375 32.3 3.9454 4 277 18.6
## 365 0.28955 0.0 10.59 0 0.4890 5.412 9.8 3.5875 4 277 18.6
## 366 0.19802 0.0 10.59 0 0.4890 6.182 42.4 3.9454 4 277 18.6
## 367 0.04560 0.0 13.89 1 0.5500 5.888 56.0 3.1121 5 276 16.4
## 368 0.07013 0.0 13.89 0 0.5500 6.642 85.1 3.4211 5 276 16.4
## 369 0.11069 0.0 13.89 1 0.5500 5.951 93.8 2.8893 5 276 16.4
## 370 0.11425 0.0 13.89 1 0.5500 6.373 92.4 3.3633 5 276 16.4
## 371 0.35809 0.0 6.20 1 0.5070 6.951 88.5 2.8617 8 307 17.4
## 372 0.40771 0.0 6.20 1 0.5070 6.164 91.3 3.0480 8 307 17.4
## 373 0.62356 0.0 6.20 1 0.5070 6.879 77.7 3.2721 8 307 17.4
## 374 0.61470 0.0 6.20 0 0.5070 6.618 80.8 3.2721 8 307 17.4
## 375 0.31533 0.0 6.20 0 0.5040 8.266 78.3 2.8944 8 307 17.4
## 376 0.52693 0.0 6.20 0 0.5040 8.725 83.0 2.8944 8 307 17.4
## 377 0.38214 0.0 6.20 0 0.5040 8.040 86.5 3.2157 8 307 17.4
## 378 0.41238 0.0 6.20 0 0.5040 7.163 79.9 3.2157 8 307 17.4
## 379 0.29819 0.0 6.20 0 0.5040 7.686 17.0 3.3751 8 307 17.4
## 380 0.44178 0.0 6.20 0 0.5040 6.552 21.4 3.3751 8 307 17.4
## 381 0.53700 0.0 6.20 0 0.5040 5.981 68.1 3.6715 8 307 17.4
## 382 0.46296 0.0 6.20 0 0.5040 7.412 76.9 3.6715 8 307 17.4
## 383 0.57529 0.0 6.20 0 0.5070 8.337 73.3 3.8384 8 307 17.4
## 384 0.33147 0.0 6.20 0 0.5070 8.247 70.4 3.6519 8 307 17.4
## 385 0.44791 0.0 6.20 1 0.5070 6.726 66.5 3.6519 8 307 17.4
## 386 0.33045 0.0 6.20 0 0.5070 6.086 61.5 3.6519 8 307 17.4
## 387 0.52058 0.0 6.20 1 0.5070 6.631 76.5 4.1480 8 307 17.4
## 388 0.51183 0.0 6.20 0 0.5070 7.358 71.6 4.1480 8 307 17.4
## 389 0.08244 30.0 4.93 0 0.4280 6.481 18.5 6.1899 6 300 16.6
## 390 0.09252 30.0 4.93 0 0.4280 6.606 42.2 6.1899 6 300 16.6
## 391 0.11329 30.0 4.93 0 0.4280 6.897 54.3 6.3361 6 300 16.6
## 392 0.10612 30.0 4.93 0 0.4280 6.095 65.1 6.3361 6 300 16.6
## 393 0.10290 30.0 4.93 0 0.4280 6.358 52.9 7.0355 6 300 16.6
## 394 0.12757 30.0 4.93 0 0.4280 6.393 7.8 7.0355 6 300 16.6
## 395 0.20608 22.0 5.86 0 0.4310 5.593 76.5 7.9549 7 330 19.1
## 396 0.19133 22.0 5.86 0 0.4310 5.605 70.2 7.9549 7 330 19.1
## 397 0.33983 22.0 5.86 0 0.4310 6.108 34.9 8.0555 7 330 19.1
## 398 0.19657 22.0 5.86 0 0.4310 6.226 79.2 8.0555 7 330 19.1
## 399 0.16439 22.0 5.86 0 0.4310 6.433 49.1 7.8265 7 330 19.1
## 400 0.19073 22.0 5.86 0 0.4310 6.718 17.5 7.8265 7 330 19.1
## 401 0.14030 22.0 5.86 0 0.4310 6.487 13.0 7.3967 7 330 19.1
## 402 0.21409 22.0 5.86 0 0.4310 6.438 8.9 7.3967 7 330 19.1
## 403 0.08221 22.0 5.86 0 0.4310 6.957 6.8 8.9067 7 330 19.1
## 404 0.36894 22.0 5.86 0 0.4310 8.259 8.4 8.9067 7 330 19.1
## 405 0.04819 80.0 3.64 0 0.3920 6.108 32.0 9.2203 1 315 16.4
## 406 0.03548 80.0 3.64 0 0.3920 5.876 19.1 9.2203 1 315 16.4
## 407 0.01538 90.0 3.75 0 0.3940 7.454 34.2 6.3361 3 244 15.9
## 408 0.61154 20.0 3.97 0 0.6470 8.704 86.9 1.8010 5 264 13.0
## 409 0.66351 20.0 3.97 0 0.6470 7.333 100.0 1.8946 5 264 13.0
## 410 0.65665 20.0 3.97 0 0.6470 6.842 100.0 2.0107 5 264 13.0
## 411 0.54011 20.0 3.97 0 0.6470 7.203 81.8 2.1121 5 264 13.0
## 412 0.53412 20.0 3.97 0 0.6470 7.520 89.4 2.1398 5 264 13.0
## 413 0.52014 20.0 3.97 0 0.6470 8.398 91.5 2.2885 5 264 13.0
## 414 0.82526 20.0 3.97 0 0.6470 7.327 94.5 2.0788 5 264 13.0
## 415 0.55007 20.0 3.97 0 0.6470 7.206 91.6 1.9301 5 264 13.0
## 416 0.76162 20.0 3.97 0 0.6470 5.560 62.8 1.9865 5 264 13.0
## 417 0.78570 20.0 3.97 0 0.6470 7.014 84.6 2.1329 5 264 13.0
## 418 0.57834 20.0 3.97 0 0.5750 8.297 67.0 2.4216 5 264 13.0
## 419 0.54050 20.0 3.97 0 0.5750 7.470 52.6 2.8720 5 264 13.0
## 420 0.09065 20.0 6.96 1 0.4640 5.920 61.5 3.9175 3 223 18.6
## 421 0.29916 20.0 6.96 0 0.4640 5.856 42.1 4.4290 3 223 18.6
## 422 0.16211 20.0 6.96 0 0.4640 6.240 16.3 4.4290 3 223 18.6
## 423 0.11460 20.0 6.96 0 0.4640 6.538 58.7 3.9175 3 223 18.6
## 424 0.22188 20.0 6.96 1 0.4640 7.691 51.8 4.3665 3 223 18.6
## 425 0.05644 40.0 6.41 1 0.4470 6.758 32.9 4.0776 4 254 17.6
## 426 0.09604 40.0 6.41 0 0.4470 6.854 42.8 4.2673 4 254 17.6
## 427 0.10469 40.0 6.41 1 0.4470 7.267 49.0 4.7872 4 254 17.6
## 428 0.06127 40.0 6.41 1 0.4470 6.826 27.6 4.8628 4 254 17.6
## 429 0.07978 40.0 6.41 0 0.4470 6.482 32.1 4.1403 4 254 17.6
## 430 0.21038 20.0 3.33 0 0.4429 6.812 32.2 4.1007 5 216 14.9
## 431 0.03578 20.0 3.33 0 0.4429 7.820 64.5 4.6947 5 216 14.9
## 432 0.03705 20.0 3.33 0 0.4429 6.968 37.2 5.2447 5 216 14.9
## 433 0.06129 20.0 3.33 1 0.4429 7.645 49.7 5.2119 5 216 14.9
## 434 0.01501 90.0 1.21 1 0.4010 7.923 24.8 5.8850 1 198 13.6
## 435 0.00906 90.0 2.97 0 0.4000 7.088 20.8 7.3073 1 285 15.3
## 436 0.01096 55.0 2.25 0 0.3890 6.453 31.9 7.3073 1 300 15.3
## 437 0.01965 80.0 1.76 0 0.3850 6.230 31.5 9.0892 1 241 18.2
## 438 0.03871 52.5 5.32 0 0.4050 6.209 31.3 7.3172 6 293 16.6
## 439 0.04590 52.5 5.32 0 0.4050 6.315 45.6 7.3172 6 293 16.6
## 440 0.04297 52.5 5.32 0 0.4050 6.565 22.9 7.3172 6 293 16.6
## 441 0.03502 80.0 4.95 0 0.4110 6.861 27.9 5.1167 4 245 19.2
## 442 0.07886 80.0 4.95 0 0.4110 7.148 27.7 5.1167 4 245 19.2
## 443 0.03615 80.0 4.95 0 0.4110 6.630 23.4 5.1167 4 245 19.2
## 444 0.08265 0.0 13.92 0 0.4370 6.127 18.4 5.5027 4 289 16.0
## 445 0.08199 0.0 13.92 0 0.4370 6.009 42.3 5.5027 4 289 16.0
## 446 0.12932 0.0 13.92 0 0.4370 6.678 31.1 5.9604 4 289 16.0
## 447 0.05372 0.0 13.92 0 0.4370 6.549 51.0 5.9604 4 289 16.0
## 448 0.14103 0.0 13.92 0 0.4370 5.790 58.0 6.3200 4 289 16.0
## 449 0.06466 70.0 2.24 0 0.4000 6.345 20.1 7.8278 5 358 14.8
## 450 0.05561 70.0 2.24 0 0.4000 7.041 10.0 7.8278 5 358 14.8
## 451 0.04417 70.0 2.24 0 0.4000 6.871 47.4 7.8278 5 358 14.8
## 452 0.03537 34.0 6.09 0 0.4330 6.590 40.4 5.4917 7 329 16.1
## 453 0.09266 34.0 6.09 0 0.4330 6.495 18.4 5.4917 7 329 16.1
## 454 0.10000 34.0 6.09 0 0.4330 6.982 17.7 5.4917 7 329 16.1
## 455 0.05515 33.0 2.18 0 0.4720 7.236 41.1 4.0220 7 222 18.4
## 456 0.05479 33.0 2.18 0 0.4720 6.616 58.1 3.3700 7 222 18.4
## 457 0.07503 33.0 2.18 0 0.4720 7.420 71.9 3.0992 7 222 18.4
## 458 0.04932 33.0 2.18 0 0.4720 6.849 70.3 3.1827 7 222 18.4
## 459 0.49298 0.0 9.90 0 0.5440 6.635 82.5 3.3175 4 304 18.4
## 460 0.34940 0.0 9.90 0 0.5440 5.972 76.7 3.1025 4 304 18.4
## 461 2.63548 0.0 9.90 0 0.5440 4.973 37.8 2.5194 4 304 18.4
## 462 0.79041 0.0 9.90 0 0.5440 6.122 52.8 2.6403 4 304 18.4
## 463 0.26169 0.0 9.90 0 0.5440 6.023 90.4 2.8340 4 304 18.4
## 464 0.26938 0.0 9.90 0 0.5440 6.266 82.8 3.2628 4 304 18.4
## 465 0.36920 0.0 9.90 0 0.5440 6.567 87.3 3.6023 4 304 18.4
## 466 0.25356 0.0 9.90 0 0.5440 5.705 77.7 3.9450 4 304 18.4
## 467 0.31827 0.0 9.90 0 0.5440 5.914 83.2 3.9986 4 304 18.4
## 468 0.24522 0.0 9.90 0 0.5440 5.782 71.7 4.0317 4 304 18.4
## 469 0.40202 0.0 9.90 0 0.5440 6.382 67.2 3.5325 4 304 18.4
## 470 0.47547 0.0 9.90 0 0.5440 6.113 58.8 4.0019 4 304 18.4
## 471 0.16760 0.0 7.38 0 0.4930 6.426 52.3 4.5404 5 287 19.6
## 472 0.18159 0.0 7.38 0 0.4930 6.376 54.3 4.5404 5 287 19.6
## 473 0.35114 0.0 7.38 0 0.4930 6.041 49.9 4.7211 5 287 19.6
## 474 0.28392 0.0 7.38 0 0.4930 5.708 74.3 4.7211 5 287 19.6
## 475 0.34109 0.0 7.38 0 0.4930 6.415 40.1 4.7211 5 287 19.6
## 476 0.19186 0.0 7.38 0 0.4930 6.431 14.7 5.4159 5 287 19.6
## 477 0.30347 0.0 7.38 0 0.4930 6.312 28.9 5.4159 5 287 19.6
## 478 0.24103 0.0 7.38 0 0.4930 6.083 43.7 5.4159 5 287 19.6
## 479 0.06617 0.0 3.24 0 0.4600 5.868 25.8 5.2146 4 430 16.9
## 480 0.06724 0.0 3.24 0 0.4600 6.333 17.2 5.2146 4 430 16.9
## 481 0.04544 0.0 3.24 0 0.4600 6.144 32.2 5.8736 4 430 16.9
## 482 0.05023 35.0 6.06 0 0.4379 5.706 28.4 6.6407 1 304 16.9
## 483 0.03466 35.0 6.06 0 0.4379 6.031 23.3 6.6407 1 304 16.9
## 484 0.05083 0.0 5.19 0 0.5150 6.316 38.1 6.4584 5 224 20.2
## 485 0.03738 0.0 5.19 0 0.5150 6.310 38.5 6.4584 5 224 20.2
## 486 0.03961 0.0 5.19 0 0.5150 6.037 34.5 5.9853 5 224 20.2
## 487 0.03427 0.0 5.19 0 0.5150 5.869 46.3 5.2311 5 224 20.2
## 488 0.03041 0.0 5.19 0 0.5150 5.895 59.6 5.6150 5 224 20.2
## 489 0.03306 0.0 5.19 0 0.5150 6.059 37.3 4.8122 5 224 20.2
## 490 0.05497 0.0 5.19 0 0.5150 5.985 45.4 4.8122 5 224 20.2
## 491 0.06151 0.0 5.19 0 0.5150 5.968 58.5 4.8122 5 224 20.2
## 492 0.01301 35.0 1.52 0 0.4420 7.241 49.3 7.0379 1 284 15.5
## 493 0.02498 0.0 1.89 0 0.5180 6.540 59.7 6.2669 1 422 15.9
## 494 0.02543 55.0 3.78 0 0.4840 6.696 56.4 5.7321 5 370 17.6
## 495 0.03049 55.0 3.78 0 0.4840 6.874 28.1 6.4654 5 370 17.6
## 496 0.03113 0.0 4.39 0 0.4420 6.014 48.5 8.0136 3 352 18.8
## 497 0.06162 0.0 4.39 0 0.4420 5.898 52.3 8.0136 3 352 18.8
## 498 0.01870 85.0 4.15 0 0.4290 6.516 27.7 8.5353 4 351 17.9
## 499 0.01501 80.0 2.01 0 0.4350 6.635 29.7 8.3440 4 280 17.0
## 500 0.02899 40.0 1.25 0 0.4290 6.939 34.5 8.7921 1 335 19.7
## 501 0.06211 40.0 1.25 0 0.4290 6.490 44.4 8.7921 1 335 19.7
## 502 0.07950 60.0 1.69 0 0.4110 6.579 35.9 10.7103 4 411 18.3
## 503 0.07244 60.0 1.69 0 0.4110 5.884 18.5 10.7103 4 411 18.3
## 504 0.01709 90.0 2.02 0 0.4100 6.728 36.1 12.1265 5 187 17.0
## 505 0.04301 80.0 1.91 0 0.4130 5.663 21.9 10.5857 4 334 22.0
## 506 0.10659 80.0 1.91 0 0.4130 5.936 19.5 10.5857 4 334 22.0
## B LSTAT
## 1 377.73 17.60
## 2 391.34 13.27
## 3 395.43 11.48
## 4 390.74 12.67
## 5 374.56 7.79
## 6 350.65 14.19
## 7 380.79 10.19
## 8 353.04 14.64
## 9 354.55 5.29
## 10 354.70 7.12
## 11 316.03 14.00
## 12 131.42 13.33
## 13 375.52 3.26
## 14 375.33 3.73
## 15 392.05 2.96
## 16 366.15 9.53
## 17 347.88 8.88
## 18 396.90 34.77
## 19 396.90 37.97
## 20 396.90 13.44
## 21 363.02 23.24
## 22 396.90 21.24
## 23 396.90 23.69
## 24 393.74 21.78
## 25 396.90 17.21
## 26 396.90 21.08
## 27 396.90 23.60
## 28 396.90 24.56
## 29 285.83 30.63
## 30 396.90 30.81
## 31 396.90 28.28
## 32 396.90 31.99
## 33 372.92 30.62
## 34 396.90 20.85
## 35 394.43 17.11
## 36 378.38 18.76
## 37 396.90 25.68
## 38 396.90 15.17
## 39 396.90 16.35
## 40 391.98 17.12
## 41 396.90 19.37
## 42 393.10 19.92
## 43 396.90 30.59
## 44 338.16 29.97
## 45 396.90 26.77
## 46 396.90 20.32
## 47 376.11 20.31
## 48 396.90 19.77
## 49 329.46 27.38
## 50 384.97 22.98
## 51 370.22 23.34
## 52 332.09 12.13
## 53 314.64 26.40
## 54 179.36 19.78
## 55 2.60 10.11
## 56 35.05 21.22
## 57 28.79 34.37
## 58 210.97 20.08
## 59 88.27 36.98
## 60 27.25 29.05
## 61 21.57 25.79
## 62 127.36 26.64
## 63 16.45 20.62
## 64 48.45 22.74
## 65 318.75 15.02
## 66 319.98 15.70
## 67 291.55 14.10
## 68 2.52 23.29
## 69 3.65 17.16
## 70 7.68 24.39
## 71 24.65 15.69
## 72 18.82 14.52
## 73 96.73 21.52
## 74 60.72 24.08
## 75 83.45 17.64
## 76 81.33 19.69
## 77 97.95 12.03
## 78 100.19 16.22
## 79 100.63 15.17
## 80 109.85 23.27
## 81 27.49 18.05
## 82 9.32 26.45
## 83 68.95 34.02
## 84 396.90 22.88
## 85 391.45 22.11
## 86 385.96 19.52
## 87 395.69 16.59
## 88 386.73 18.85
## 89 240.52 23.79
## 90 43.06 23.98
## 91 318.01 17.79
## 92 388.52 16.44
## 93 396.90 18.13
## 94 304.21 19.31
## 95 0.32 17.44
## 96 355.29 17.73
## 97 385.09 17.27
## 98 375.87 16.74
## 99 6.68 18.71
## 100 50.92 18.13
## 101 10.48 19.01
## 102 3.50 16.94
## 103 272.21 16.23
## 104 396.90 14.70
## 105 255.23 16.42
## 106 391.43 14.65
## 107 396.90 13.99
## 108 393.82 10.29
## 109 396.90 13.22
## 110 334.40 14.13
## 111 22.01 17.15
## 112 331.29 21.32
## 113 368.74 18.13
## 114 396.90 14.76
## 115 396.90 16.29
## 116 395.33 12.87
## 117 393.37 14.36
## 118 374.68 11.66
## 119 352.58 18.14
## 120 302.76 24.10
## 121 396.21 18.68
## 122 349.48 24.91
## 123 379.70 18.03
## 124 383.32 13.11
## 125 396.90 10.74
## 126 393.07 7.74
## 127 395.28 7.01
## 128 392.92 10.42
## 129 370.73 13.34
## 130 388.62 10.58
## 131 392.68 14.98
## 132 388.22 11.45
## 133 395.09 18.06
## 134 344.05 23.97
## 135 318.43 29.68
## 136 390.11 18.07
## 137 396.90 13.35
## 138 396.90 12.01
## 139 396.90 13.59
## 140 393.29 17.60
## 141 396.90 21.14
## 142 396.90 14.10
## 143 396.90 12.92
## 144 395.77 15.10
## 145 396.90 14.33
## 146 391.99 9.67
## 147 396.90 9.08
## 148 396.90 5.64
## 149 393.45 6.48
## 150 396.90 7.88
## 151 396.90 4.98
## 152 396.90 9.14
## 153 392.83 4.03
## 154 394.63 2.94
## 155 396.90 5.33
## 156 394.12 5.21
## 157 395.60 12.43
## 158 396.90 19.15
## 159 386.63 29.93
## 160 386.71 17.10
## 161 392.52 20.45
## 162 396.90 13.27
## 163 390.50 15.71
## 164 396.90 8.26
## 165 380.02 10.26
## 166 395.62 8.47
## 167 386.85 6.58
## 168 386.75 14.67
## 169 288.99 11.69
## 170 390.95 11.28
## 171 376.57 21.02
## 172 392.53 13.83
## 173 396.90 18.72
## 174 394.54 19.88
## 175 394.33 16.30
## 176 303.42 16.51
## 177 376.88 14.81
## 178 306.38 17.28
## 179 387.94 12.80
## 180 380.23 11.98
## 181 360.17 22.60
## 182 376.73 13.04
## 183 232.60 27.71
## 184 358.77 18.35
## 185 248.31 20.34
## 186 396.90 9.68
## 187 377.56 11.41
## 188 396.90 8.77
## 189 393.43 10.13
## 190 395.63 4.32
## 191 395.62 1.98
## 192 385.41 4.84
## 193 383.37 5.81
## 194 394.46 7.44
## 195 389.39 9.55
## 196 396.90 10.21
## 197 396.90 14.15
## 198 392.74 18.80
## 199 396.90 30.81
## 200 396.90 16.20
## 201 395.56 13.45
## 202 393.97 9.43
## 203 396.90 5.28
## 204 396.90 8.43
## 205 396.90 14.80
## 206 395.93 4.81
## 207 396.90 5.77
## 208 392.90 3.95
## 209 390.68 6.86
## 210 396.90 9.22
## 211 395.11 13.15
## 212 378.08 14.44
## 213 396.90 6.73
## 214 395.58 9.50
## 215 393.24 8.05
## 216 396.90 4.67
## 217 396.90 10.24
## 218 396.21 8.10
## 219 396.90 13.09
## 220 396.90 8.79
## 221 383.73 6.72
## 222 376.94 9.88
## 223 390.91 5.52
## 224 377.17 7.54
## 225 394.92 6.78
## 226 383.23 8.94
## 227 373.66 11.97
## 228 386.96 10.27
## 229 386.40 12.34
## 230 396.06 9.10
## 231 396.90 5.29
## 232 395.63 7.22
## 233 396.90 6.72
## 234 390.64 7.51
## 235 396.90 9.62
## 236 392.30 6.53
## 237 395.99 12.86
## 238 395.15 8.44
## 239 396.90 5.50
## 240 396.06 5.70
## 241 392.18 8.81
## 242 393.55 8.20
## 243 395.01 8.16
## 244 396.33 6.21
## 245 396.90 10.59
## 246 357.98 6.65
## 247 391.83 11.34
## 248 396.90 4.21
## 249 393.53 3.57
## 250 396.90 6.19
## 251 394.76 9.42
## 252 395.58 7.67
## 253 70.80 10.63
## 254 394.47 13.44
## 255 392.69 12.33
## 256 394.05 16.47
## 257 395.67 18.66
## 258 387.69 14.09
## 259 395.24 12.27
## 260 391.23 15.55
## 261 393.49 13.00
## 262 395.59 10.16
## 263 394.95 16.21
## 264 396.90 17.09
## 265 388.74 10.45
## 266 344.91 15.76
## 267 393.30 12.04
## 268 394.51 10.30
## 269 338.63 15.37
## 270 391.50 13.61
## 271 389.15 14.37
## 272 377.67 14.27
## 273 378.09 17.93
## 274 370.31 25.41
## 275 379.38 17.58
## 276 385.02 14.81
## 277 359.29 27.26
## 278 392.11 17.19
## 279 396.90 15.39
## 280 396.90 18.34
## 281 395.04 12.60
## 282 396.90 12.26
## 283 385.76 11.12
## 284 388.69 15.03
## 285 262.76 17.31
## 286 394.67 16.96
## 287 378.25 16.90
## 288 394.08 14.59
## 289 392.04 21.32
## 290 396.90 18.46
## 291 388.08 24.16
## 292 396.90 34.41
## 293 396.90 26.82
## 294 396.90 26.42
## 295 396.90 29.29
## 296 172.91 27.80
## 297 169.27 16.65
## 298 391.71 29.53
## 299 356.99 28.32
## 300 351.85 21.45
## 301 372.80 14.10
## 302 341.60 13.28
## 303 343.28 12.12
## 304 261.95 15.79
## 305 321.02 15.12
## 306 88.01 15.02
## 307 88.63 16.14
## 308 363.43 4.59
## 309 353.89 6.43
## 310 364.31 7.39
## 311 338.92 5.50
## 312 374.43 1.73
## 313 389.61 1.92
## 314 388.45 3.32
## 315 395.11 11.64
## 316 240.16 9.81
## 317 369.30 3.70
## 318 227.61 12.14
## 319 297.09 11.10
## 320 330.04 11.32
## 321 292.29 14.43
## 322 348.13 12.03
## 323 396.90 14.69
## 324 395.50 9.04
## 325 393.23 9.64
## 326 390.96 5.33
## 327 393.23 10.11
## 328 395.60 6.29
## 329 391.27 6.92
## 330 396.90 5.04
## 331 395.56 7.56
## 332 396.90 9.45
## 333 394.12 4.82
## 334 396.90 5.68
## 335 391.00 13.98
## 336 387.11 13.15
## 337 392.63 4.45
## 338 393.87 6.68
## 339 382.84 4.56
## 340 396.90 5.39
## 341 377.68 5.10
## 342 389.71 4.69
## 343 390.49 2.87
## 344 393.37 5.03
## 345 376.70 4.38
## 346 394.23 2.97
## 347 396.90 4.08
## 348 354.31 8.61
## 349 392.20 6.62
## 350 396.90 4.56
## 351 384.30 4.45
## 352 393.77 7.43
## 353 395.38 3.11
## 354 392.78 3.81
## 355 390.55 2.88
## 356 396.90 10.87
## 357 394.87 10.97
## 358 389.43 18.06
## 359 381.32 14.66
## 360 396.90 23.09
## 361 393.25 17.27
## 362 395.24 23.98
## 363 390.94 16.03
## 364 385.81 9.38
## 365 348.93 29.55
## 366 393.63 9.47
## 367 392.80 13.51
## 368 392.78 9.69
## 369 396.90 17.92
## 370 393.74 10.50
## 371 391.70 9.71
## 372 395.24 21.46
## 373 390.39 9.93
## 374 396.90 7.60
## 375 385.05 4.14
## 376 382.00 4.63
## 377 387.38 3.13
## 378 372.08 6.36
## 379 377.51 3.92
## 380 380.34 3.76
## 381 378.35 11.65
## 382 376.14 5.25
## 383 385.91 2.47
## 384 378.95 3.95
## 385 360.20 8.05
## 386 376.75 10.88
## 387 388.45 9.54
## 388 390.07 4.73
## 389 379.41 6.36
## 390 383.78 7.37
## 391 391.25 11.38
## 392 394.62 12.40
## 393 372.75 11.22
## 394 374.71 5.19
## 395 372.49 12.50
## 396 389.13 18.46
## 397 390.18 9.16
## 398 376.14 10.15
## 399 374.71 9.52
## 400 393.74 6.56
## 401 396.28 5.90
## 402 377.07 3.59
## 403 386.09 3.53
## 404 396.90 3.54
## 405 392.89 6.57
## 406 395.18 9.25
## 407 386.34 3.11
## 408 389.70 5.12
## 409 383.29 7.79
## 410 391.93 6.90
## 411 392.80 9.59
## 412 388.37 7.26
## 413 386.86 5.91
## 414 393.42 11.25
## 415 387.89 8.10
## 416 392.40 10.45
## 417 384.07 14.79
## 418 384.54 7.44
## 419 390.30 3.16
## 420 391.34 13.65
## 421 388.65 13.00
## 422 396.90 6.59
## 423 394.96 7.73
## 424 390.77 6.58
## 425 396.90 3.53
## 426 396.90 2.98
## 427 389.25 6.05
## 428 393.45 4.16
## 429 396.90 7.19
## 430 396.90 4.85
## 431 387.31 3.76
## 432 392.23 4.59
## 433 377.07 3.01
## 434 395.52 3.16
## 435 394.72 7.85
## 436 394.72 8.23
## 437 341.60 12.93
## 438 396.90 7.14
## 439 396.90 7.60
## 440 371.72 9.51
## 441 396.90 3.33
## 442 396.90 3.56
## 443 396.90 4.70
## 444 396.90 8.58
## 445 396.90 10.40
## 446 396.90 6.27
## 447 392.85 7.39
## 448 396.90 15.84
## 449 368.24 4.97
## 450 371.58 4.74
## 451 390.86 6.07
## 452 395.75 9.50
## 453 383.61 8.67
## 454 390.43 4.86
## 455 393.68 6.93
## 456 393.36 8.93
## 457 396.90 6.47
## 458 396.90 7.53
## 459 396.90 4.54
## 460 396.24 9.97
## 461 350.45 12.64
## 462 396.90 5.98
## 463 396.30 11.72
## 464 393.39 7.90
## 465 395.69 9.28
## 466 396.42 11.50
## 467 390.70 18.33
## 468 396.90 15.94
## 469 395.21 10.36
## 470 396.23 12.73
## 471 396.90 7.20
## 472 396.90 6.87
## 473 396.90 7.70
## 474 391.13 11.74
## 475 396.90 6.12
## 476 393.68 5.08
## 477 396.90 6.15
## 478 396.90 12.79
## 479 382.44 9.97
## 480 375.21 7.34
## 481 368.57 9.09
## 482 394.02 12.43
## 483 362.25 7.83
## 484 389.71 5.68
## 485 389.40 6.75
## 486 396.90 8.01
## 487 396.90 9.80
## 488 394.81 10.56
## 489 396.14 8.51
## 490 396.90 9.74
## 491 396.90 9.29
## 492 394.74 5.49
## 493 389.96 8.65
## 494 396.90 7.18
## 495 387.97 4.61
## 496 385.64 10.53
## 497 364.61 12.67
## 498 392.43 6.36
## 499 390.94 5.99
## 500 389.85 5.89
## 501 396.90 5.98
## 502 370.78 5.49
## 503 392.33 7.79
## 504 384.46 4.50
## 505 382.80 8.05
## 506 376.04 5.57library(maps)## Warning: package 'maps' was built under R version 3.6.2library(fpc)## Warning: package 'fpc' was built under R version 3.6.2library(cluster)##
## Attaching package: 'cluster'## The following object is masked from 'package:maps':
##
## votes.repubK-means clustering:
bostonk1 <- read.csv("../datafiles/boston6k.csv")
bostonseq <- bostonk1[, seq(9,21)]
bostonscale <- scale(bostonseq)
ch.out <- rep(NA,20) ## Calinksi index
sil.out <- rep(NA,20) ## Silhouette index
for (i in 2:20) {
boston.kmeans <- kmeans(bostonscale, centers= i, nstart = 50)
ch.out[i] <- calinhara(bostonscale, boston.kmeans$cluster)
tmp <- silhouette(boston.kmeans$cluster, dist(bostonscale))
sil.out[i] <- mean(tmp[,3])}
plot(1:20, ch.out, type = 'b', lwd = 2, xlab = "N Groups", ylab = "C", main = "CalinHara Index")
Graphically, two clusters give us the best solution.
Is this the best solution?
In practice, this could be an oversimplification of reality and more clusters might tell more of a story. Boston is an old and complex city and would be better explained with more clusters.
Re-run K-means with a different number:
ngrp <- 5
boston.kmeans2 <- kmeans(bostonscale, ngrp, nstart = 50,iter.max = 20)
table(boston.kmeans2$cluster)##
## 1 2 3 4 5
## 34 84 39 230 119Using the aggregate() function, provide a table showing the median the variables used in clustering.
bostonagg <- aggregate(bostonscale, list(boston.kmeans2$cluster ),median)
bostonagg## Group.1 CRIM ZN INDUS CHAS NOX
## 1 1 -0.3638042 -0.4872402 0.4013236 3.6647712 -0.04051738
## 2 2 -0.4151037 1.8174059 -1.1219217 -0.2723291 -1.10198154
## 3 3 1.0037355 -0.4872402 1.0149946 -0.2723291 1.07272553
## 4 4 -0.4020968 -0.4872402 -0.5118948 -0.2723291 -0.38570897
## 5 5 0.2461926 -0.4872402 1.0149946 -0.2723291 1.19354259
## RM AGE DIS RAD TAX PTRATIO
## 1 -0.07633515 0.70962369 -0.39245320 -0.5224844 -0.6006817 -0.39517558
## 2 0.60113195 -1.33664025 1.48646163 -0.6373311 -0.6184819 -0.85708096
## 3 -0.13041866 0.87836941 -0.89321064 1.6596029 1.5294129 0.80577843
## 4 -0.20798580 0.04885096 -0.01963361 -0.5224844 -0.6303487 -0.02565127
## 5 -0.40083620 0.99560328 -0.91600580 1.6596029 1.5294129 0.80577843
## B LSTAT
## 1 0.3713897 -0.2328874
## 2 0.3986639 -0.9778747
## 3 -3.3761377 0.9980220
## 4 0.4007451 -0.3932277
## 5 0.3662415 0.7109499In 1-2 sentences, describe the characteristics of the clusters:
Cluster one has exceptionally high crime rates, high proportions of non-retail business acres, and high nitric oxcides concentration.
Cluster four has the lowest crim rates, the most residential land zoned, the lowest proportion of non-retail business acres, and is the newest area.
Cluster five has the oldest owner-occupied units, high accessibility to radial highways, and a somewhat high percent of lower status population.
Report the mean corrected house value per cluster
mean(bostonk1$CMEDV[boston.kmeans2$cluster==1])## [1] 27.80588Use anova() to test whether the values are significantly different between clusters. You will need the vector of house prices/values and the vector of clusters from kmeans(). Give the F-statistic and the p-value
bos.lm = lm(bostonk1$CMEDV ~ boston.kmeans2$cluster)
bos.lm##
## Call:
## lm(formula = bostonk1$CMEDV ~ boston.kmeans2$cluster)
##
## Coefficients:
## (Intercept) boston.kmeans2$cluster
## 32.158 -2.657anova(bos.lm)## Analysis of Variance Table
##
## Response: bostonk1$CMEDV
## Df Sum Sq Mean Sq F value Pr(>F)
## boston.kmeans2$cluster 1 5143 5142.9 69.241 8.223e-16 ***
## Residuals 504 37435 74.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1summary(anova(bos.lm))## Df Sum Sq Mean Sq F value
## Min. : 1.0 Min. : 5143 Min. : 74.28 Min. :69.24
## 1st Qu.:126.8 1st Qu.:13216 1st Qu.:1341.43 1st Qu.:69.24
## Median :252.5 Median :21289 Median :2608.58 Median :69.24
## Mean :252.5 Mean :21289 Mean :2608.58 Mean :69.24
## 3rd Qu.:378.2 3rd Qu.:29362 3rd Qu.:3875.73 3rd Qu.:69.24
## Max. :504.0 Max. :37435 Max. :5142.88 Max. :69.24
## NA's :1
## Pr(>F)
## Min. :0
## 1st Qu.:0
## Median :0
## Mean :0
## 3rd Qu.:0
## Max. :0
## NA's :1F statistic: 2.613
p-value: 0.1066
Exercise 2
Read in data & perform principal component analysis(PCA)
wnaclim2 <- read.csv("../datafiles/wnaclim2.csv")
library("fields")## Warning: package 'fields' was built under R version 3.6.2## Loading required package: spam## Warning: package 'spam' was built under R version 3.6.2## Loading required package: dotCall64## Warning: package 'dotCall64' was built under R version 3.6.2## Loading required package: grid## Spam version 2.6-0 (2020-12-14) is loaded.
## Type 'help( Spam)' or 'demo( spam)' for a short introduction
## and overview of this package.
## Help for individual functions is also obtained by adding the
## suffix '.spam' to the function name, e.g. 'help( chol.spam)'.##
## Attaching package: 'spam'## The following objects are masked from 'package:base':
##
## backsolve, forwardsolve## Loading required package: viridis## Loading required package: viridisLite## See https://github.com/NCAR/Fields for
## an extensive vignette, other supplements and source codeExtract temperature and precipitation, PCA, scale, screeplot, biplot
wnaclim = wnaclim2[, seq(3,26)]
#Principal component analysis & scale:
wnaclimtp.pca <- prcomp(wnaclim, scale = TRUE)
#makebiplot
biplot(wnaclimtp.pca)
#screeplot
screeplot(wnaclimtp.pca)
summary(wnaclimtp.pca)## Importance of components:
## PC1 PC2 PC3 PC4 PC5 PC6
## Standard deviation 3.4612 2.8065 1.5846 0.84733 0.63986 0.51316
## Proportion of Variance 0.4992 0.3282 0.1046 0.02992 0.01706 0.01097
## Cumulative Proportion 0.4992 0.8274 0.9320 0.96190 0.97896 0.98993
## PC7 PC8 PC9 PC10 PC11 PC12
## Standard deviation 0.29261 0.20707 0.17437 0.15014 0.13534 0.10798
## Proportion of Variance 0.00357 0.00179 0.00127 0.00094 0.00076 0.00049
## Cumulative Proportion 0.99350 0.99528 0.99655 0.99749 0.99825 0.99874
## PC13 PC14 PC15 PC16 PC17 PC18
## Standard deviation 0.09353 0.08322 0.06116 0.05676 0.04584 0.04161
## Proportion of Variance 0.00036 0.00029 0.00016 0.00013 0.00009 0.00007
## Cumulative Proportion 0.99910 0.99939 0.99955 0.99968 0.99977 0.99984
## PC19 PC20 PC21 PC22 PC23 PC24
## Standard deviation 0.03439 0.02946 0.02562 0.02411 0.01802 0.01392
## Proportion of Variance 0.00005 0.00004 0.00003 0.00002 0.00001 0.00001
## Cumulative Proportion 0.99989 0.99993 0.99995 0.99998 0.99999 1.00000Give the total variance from the second PCA. Calculate the total percentage of variance explained by axes 1 and 2 (use summary())
Total variance from PCA2: 32.82%
Total percentage of variance explained by axes 1 & 2: 82.74%
Examine Loadings
wnaclimtp.pca$rotation## PC1 PC2 PC3 PC4 PC5
## tjan 0.27154635 -0.07007925 0.080386417 -0.1634473814 0.29901716
## tfeb 0.27524689 -0.07830351 0.051384208 -0.0792929685 0.26587174
## tmar 0.27484658 -0.09367701 -0.001067899 0.0006366441 0.19086484
## tapr 0.26473010 -0.12257641 -0.076298000 0.1052955242 0.03981628
## tmay 0.23877755 -0.16889072 -0.127271902 0.1251598792 -0.21848109
## tjun 0.20220435 -0.21701738 -0.139841033 0.0811805985 -0.44268300
## tjul 0.20390908 -0.22851811 -0.090041235 0.0981226254 -0.35337585
## taug 0.22863878 -0.20271341 -0.057726655 0.1081761983 -0.22777782
## tsep 0.25186014 -0.16881584 -0.031188367 -0.0252319485 -0.11100418
## toct 0.26714245 -0.12423680 -0.014213457 0.0039586317 0.12864795
## tnov 0.27214789 -0.09552584 0.029032040 -0.0776651476 0.26276447
## tdec 0.27301687 -0.07380880 0.068758839 -0.1472904833 0.28523902
## pjan 0.16803736 0.25995212 0.198293078 -0.0491302786 -0.14878411
## pfeb 0.17102216 0.26393484 0.174815508 -0.0779200398 -0.13546314
## pmar 0.17796187 0.25650454 0.169544577 -0.0684787805 -0.08941670
## papr 0.17074339 0.27824680 0.066073520 0.0873621609 -0.01709438
## pmay 0.14748106 0.25905950 -0.096201569 0.4454588155 0.21475276
## pjun 0.05730680 0.23790590 -0.271290553 0.6551603362 0.14238968
## pjul 0.01369406 0.10097126 -0.573535723 -0.1391139500 0.07054361
## paug 0.03206302 0.14782502 -0.519764989 -0.4064516753 0.01206271
## psep 0.10354548 0.26528778 -0.300542026 -0.1481576621 -0.04780745
## poct 0.13939969 0.28759576 -0.081905529 -0.1479311802 -0.16441200
## pnov 0.16303542 0.27829605 0.141217106 -0.0566592085 -0.16857230
## pdec 0.16860662 0.26639834 0.170927455 -0.0622112513 -0.15532094
## PC6 PC7 PC8 PC9 PC10
## tjan -0.0284108206 0.006685677 0.150748941 -0.03370819 0.295282973
## tfeb 0.0003503783 0.136618117 0.096325727 0.05374427 0.146770345
## tmar 0.0472553831 0.299836795 0.107879864 0.12796171 -0.002868388
## tapr 0.1142053327 0.361840941 0.005051047 0.18027931 -0.245606706
## tmay 0.1162681105 0.391610249 0.152998679 0.14131428 -0.153895952
## tjun 0.0336846593 0.059413350 0.153361302 0.08729649 0.185251391
## tjul -0.0968873526 -0.282122219 0.078633470 -0.02281332 0.111072241
## taug -0.1100855056 -0.269202717 -0.078353138 -0.16060487 0.002348289
## tsep -0.0494334800 -0.197844681 -0.135371606 -0.17154105 0.019210005
## toct -0.0108001461 -0.228312237 -0.393469988 -0.13609013 -0.315583081
## tnov -0.0341735253 -0.123895015 -0.174524477 -0.10198795 -0.168381612
## tdec -0.0376637342 -0.070659399 0.019616400 -0.04699441 0.196876851
## pjan 0.2458067285 0.032089376 -0.048645619 -0.21338581 0.001100698
## pfeb 0.1820140769 -0.040185881 -0.011301000 0.07554311 -0.126403221
## pmar 0.2288319443 -0.177170757 0.160725487 0.13544683 -0.309717304
## papr -0.0925172437 -0.305189314 0.271689204 0.39781282 -0.204745692
## pmay -0.1948655497 -0.258064679 0.241986147 0.13372542 0.183453709
## pjun 0.1213474134 0.141181422 -0.086059500 -0.36227611 0.043038183
## pjul 0.4811346946 -0.176731790 -0.383344278 0.38567024 0.178533100
## paug 0.0604580646 -0.072069255 0.509760728 -0.38851386 -0.032443473
## psep -0.4843787725 0.196824537 -0.149665107 -0.09624515 -0.407497122
## poct -0.4759093700 0.159625862 -0.266370371 0.26037169 0.346421923
## pnov 0.0644439203 0.128788161 -0.117454901 -0.17604085 0.237115136
## pdec 0.1871590345 0.094644125 -0.105030745 -0.21895144 0.170211499
## PC11 PC12 PC13 PC14 PC15
## tjan -0.3177818979 0.084717452 -0.198073796 0.0306128664 -0.12524773
## tfeb -0.0850920746 0.207170982 0.215049963 -0.0248132032 0.07177408
## tmar 0.0837891432 0.151198192 0.338194830 -0.1213396869 -0.04343164
## tapr 0.2429592526 -0.018873516 0.244346289 0.0007484506 0.04381860
## tmay 0.0431667637 -0.232783794 -0.291244671 0.0480458427 -0.18616504
## tjun -0.0987876247 -0.033840012 -0.422444222 -0.0105642695 0.31526141
## tjul -0.0486904501 0.283065952 0.298939526 -0.0044454340 0.14450174
## taug -0.0152404625 0.136111286 0.291708371 -0.0496293283 -0.21486141
## tsep -0.0444107836 -0.120942065 -0.094460420 0.0209592856 -0.41993874
## toct 0.2093561076 -0.231921667 -0.011130377 0.0997939913 0.27607606
## tnov 0.1006998972 -0.233238733 -0.174605090 -0.0378639293 0.02149880
## tdec -0.1909224250 0.002929791 -0.196357064 0.0633928569 0.15143733
## pjan -0.0005762763 0.039714713 0.006401917 -0.3431345819 0.49814932
## pfeb -0.1595286785 0.149113176 0.045518203 0.2980140260 0.07726715
## pmar -0.0295711250 0.194223506 -0.064458463 0.5326818242 -0.13153712
## papr -0.3048488853 -0.403344025 0.133363364 -0.4467304855 -0.08102153
## pmay 0.5520813847 0.203821338 -0.246609418 0.0048849326 0.02882245
## pjun -0.4115111702 -0.123357939 0.112057802 0.1724675213 0.02767334
## pjul -0.0309151580 0.137303662 -0.039627958 -0.1174288399 -0.07339510
## paug 0.1609697226 -0.224188960 0.158706743 0.0989438683 0.06477934
## psep -0.1703085895 0.441341096 -0.234474281 -0.2164132305 -0.05426607
## poct 0.0248821147 -0.304950065 0.205141127 0.3425036906 0.16345751
## pnov 0.1821268769 -0.095799139 0.015392954 -0.1184016248 -0.41165840
## pdec 0.1898709898 0.053178843 -0.055907092 -0.2039300913 -0.10002376
## PC16 PC17 PC18 PC19 PC20
## tjan 0.148674822 -0.107041343 0.160823567 -0.0269825468 0.4272858093
## tfeb -0.017002651 0.234367308 -0.030332072 0.0627361960 0.0203446585
## tmar -0.035352024 -0.000212998 -0.023742455 -0.0452842790 -0.2687836322
## tapr 0.022030975 0.145866305 0.006613803 -0.0184863673 -0.0467386911
## tmay 0.142255714 -0.298105316 0.126282045 0.0006562435 0.3387549738
## tjun -0.160935797 0.249990410 -0.191135211 0.0289864553 -0.2723565962
## tjul -0.238251861 -0.162051895 -0.033972474 0.1319965479 0.2737881475
## taug 0.106065552 -0.250950490 0.035001101 -0.1434759326 -0.0549829727
## tsep 0.390707549 0.327566676 0.244781447 -0.0916673160 -0.3538791803
## toct 0.018144251 0.349455508 -0.075056635 0.0788151267 0.4142142645
## tnov -0.264971834 -0.588989556 -0.143864858 0.0332551632 -0.3245451022
## tdec -0.157870134 0.092966911 -0.097722453 0.0092514596 -0.1416159968
## pjan 0.206879187 -0.141990574 0.530872235 0.0890666735 -0.0947536147
## pfeb 0.530999363 -0.151466383 -0.533289719 0.2207678709 -0.0675137256
## pmar -0.380592388 0.074655676 0.335006369 -0.1362476881 -0.0616168429
## papr -0.056901612 0.106755938 -0.084786785 -0.0375141498 0.0485745440
## pmay 0.177758906 -0.022014450 0.025024070 0.0376327473 -0.0093294644
## pjun -0.094904165 0.013377094 -0.016298342 -0.0261197497 -0.0346808089
## pjul -0.005543386 -0.049203713 0.044870954 0.0112968029 0.0096717843
## paug 0.047348123 0.015708070 -0.052098593 0.0046396787 0.0009636633
## psep -0.040657537 0.041970363 -0.011347466 0.0246969815 0.0132694536
## poct 0.027120678 -0.090538295 0.148875670 -0.1375823255 -0.0299283689
## pnov -0.283906262 0.105283956 -0.052183791 0.6219718414 0.0532889852
## pdec -0.122022282 0.048156966 -0.325075890 -0.6730608587 0.1687923951
## PC21 PC22 PC23 PC24
## tjan 0.110569448 -0.174362955 0.466461484 0.1410538810
## tfeb 0.411083337 0.195963582 -0.553989382 0.3303973610
## tmar 0.190517645 -0.117562888 0.219088103 -0.6511559490
## tapr -0.404433770 -0.108135234 0.270516403 0.5155541679
## tmay -0.037106821 0.143632598 -0.348991274 -0.1986853412
## tjun 0.254278010 0.063546212 0.239743583 0.0692545700
## tjul -0.179763796 -0.459394939 -0.200353045 -0.0523957985
## taug 0.026308260 0.644090923 0.223105697 0.0795298706
## tsep -0.041652632 -0.338752088 -0.179241161 -0.0007117746
## toct 0.159245830 0.068434255 0.090617300 -0.2078886850
## tnov 0.183602516 -0.198760485 -0.051768256 0.1951652783
## tdec -0.671182075 0.274168418 -0.167825018 -0.2131251230
## pjan -0.025665936 0.023245016 -0.023533194 -0.0018978335
## pfeb -0.017169890 -0.043847725 0.001437087 -0.0140109546
## pmar 0.073977731 0.042827913 0.030519916 -0.0138651710
## papr -0.008348023 0.008701196 -0.001837501 0.0129567032
## pmay -0.007890496 0.009175983 -0.014398707 -0.0095682867
## pjun 0.019589810 -0.050004246 -0.001155038 -0.0001735104
## pjul -0.003853114 0.023997896 -0.014147625 -0.0044508995
## paug 0.004197034 0.012388955 0.011866533 0.0056221737
## psep -0.017989679 -0.007676584 -0.001546521 -0.0008137329
## poct 0.026887105 -0.009846198 -0.006560772 0.0004372792
## pnov -0.015092274 0.074152159 0.081791929 0.0084156928
## pdec -0.018484850 -0.087548286 -0.071983057 0.0171497426Sort it:
sort(wnaclimtp.pca$rotation[,1]) ## pjul paug pjun psep poct pmay
## 0.01369406 0.03206302 0.05730680 0.10354548 0.13939969 0.14748106
## pnov pjan pdec papr pfeb pmar
## 0.16303542 0.16803736 0.16860662 0.17074339 0.17102216 0.17796187
## tjun tjul taug tmay tsep tapr
## 0.20220435 0.20390908 0.22863878 0.23877755 0.25186014 0.26473010
## toct tjan tnov tdec tmar tfeb
## 0.26714245 0.27154635 0.27214789 0.27301687 0.27484658 0.27524689sort(wnaclimtp.pca$rotation[,2]) ## tjul tjun taug tmay tsep toct
## -0.22851811 -0.21701738 -0.20271341 -0.16889072 -0.16881584 -0.12423680
## tapr tnov tmar tfeb tdec tjan
## -0.12257641 -0.09552584 -0.09367701 -0.07830351 -0.07380880 -0.07007925
## pjul paug pjun pmar pmay pjan
## 0.10097126 0.14782502 0.23790590 0.25650454 0.25905950 0.25995212
## pfeb psep pdec papr pnov poct
## 0.26393484 0.26528778 0.26639834 0.27824680 0.27829605 0.28759576PCA 1:
On PCA1, temperatures in July (0.20390908) & August (0.22863878) are highly associated.
PCA 2:
On PCA2, precipitation in October (0.28759576) & November (0.27829605) are highly associated.
PCA 1:Map
wnaclimtp.pca.score <- wnaclimtp.pca$x[, 1]
quilt.plot(wnaclim2$Longitude, wnaclim2$Latitude, wnaclimtp.pca.score)
world(add = TRUE)
Does this map make sense?
Yes, this map makes sense. It shows the temperature across this area of North America. The higher values represent warmer temperatures while the lower values represent lower temperature. It makes sense with what we know about this region–the more northern areas are colder than the southern areas.
PCA2 Map:
wnaclim.pca.score2 <- wnaclimtp.pca$x[, 2]
quilt.plot(wnaclim2$Longitude, wnaclim2$Latitude, wnaclim.pca.score2)
world(add = TRUE)
This map shows the amount of precipitation across this part of North America. There is more precipitation where the values are higher and less precipitation where the values are lower.