Hafta_2_Ogrenme_Gunlugu
Asli_Ece_Kocak
2025-03-09
HAFTA 2 - OGRENME GUNLUGU: KAYIP VERI
R PAKETLERI
library(tidyverse)
library(stevemisc)
library(knitr)
library(haven)
library(dplyr)
library(summarytools)
library(outliers)
library(ggplot2)
library(plotly)
library(ggpmisc)
library(psych)
library(sur)
library(moments)
library(corrplot)
library(olsrr)
library(summarytools)
library(knitr)
library(outliers)
library(DT)
library(labelled)
library(moments)
library(PerformanceAnalytics)
library(naniar)
library(finalfit)VERI SETI
- Bu calisma gunlugu icin PISA 2022 USA ogrenci anketi veri setinde yer alan bazi degiskenler secilerek 7, 8,9, 95, 97, 99 gibi degerler kayip veri gibi davrandigi kabul edilerek derste islenen SCREEN datasina benzer bir veri seti elde edilmistir.
- Veri seti yukleme ve veri setindeki degiskenlerin “etiketlerini” kaldirmak icin “expss” paketinde yer alan “drop_var_labs()” fonksiyonu kullanma:
orj_USA <- read_sav("C:/Users/User/Desktop/USA.SAV")
orj_USA <- expss::drop_var_labs(orj_USA)
head(orj_USA)## # A tibble: 6 × 34
## CNT CNTSTUID AGE GRADE IMMIG LANGN REPEAT MISSSC SKIPPING TARDYSD EXERPRAC
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 USA 84000002 15.4 0 1 313 0 0 0 0 10
## 2 USA 84000003 15.5 0 1 313 0 0 1 0 10
## 3 USA 84000004 16.1 0 1 313 0 0 0 0 5
## 4 USA 84000005 15.6 0 1 313 0 0 1 0 0
## 5 USA 84000006 16.3 1 1 313 0 0 0 2 5
## 6 USA 84000008 15.6 0 2 313 0 1 0 0 4
## # ℹ 23 more variables: STUDYHMW <dbl>, WORKPAY <dbl>, WORKHOME <dbl>,
## # EXPECEDU <dbl>, MATHPREF <dbl>, MATHEASE <dbl>, MATHMOT <dbl>,
## # DURECEC <dbl>, SISCO <dbl>, MISCED <dbl>, FISCED <dbl>, HISCED <dbl>,
## # PAREDINT <dbl>, BMMJ1 <dbl>, BFMJ2 <dbl>, HISEI <dbl>, ICTRES <dbl>,
## # HOMEPOS <dbl>, ESCS <dbl>, FCFMLRTY <dbl>, ICTAVSCH <dbl>, ICTHOME <dbl>,
## # ICTAVHOM <dbl>- Excel ile benim tarafimdan temizlenmeye calisilmis USA datasi “.csv” formatinda yuklenerek bu calisma icin en uygun olacak sekilde umarim kullanilacak hale getirilmesi:
## CNT CNTSTUID AGE GRADE IMMIG LANGN REPEAT MISSSC SKIPPING TARDYSD EXERPRAC
## 1 USA 84000002 15.42 0 1 313 0 0 0 0 10
## 2 USA 84000003 15.50 0 1 313 0 0 1 0 10
## 3 USA 84000004 16.08 0 1 313 0 0 0 0 5
## 4 USA 84000005 15.58 0 1 313 0 0 1 0 0
## 5 USA 84000006 16.33 1 1 313 0 0 0 2 5
## 6 USA 84000008 15.58 0 2 313 0 1 0 0 4
## STUDYHMW WORKPAY WORKHOME EXPECEDU MATHPREF MATHEASE MATHMOT DURECEC SISCO
## 1 2 0 2 9 0 0 0 2 1
## 2 6 0 0 4 0 0 0 NA 0
## 3 9 0 5 8 1 0 0 2 1
## 4 3 10 10 4 0 0 0 3 1
## 5 1 5 0 9 0 0 0 2 1
## 6 10 0 0 9 NA 0 NA 4 0
## MISCED FISCED HISCED PAREDINT BMMJ1 BFMJ2 HISEI ICTRES HOMEPOS ESCS
## 1 7 9 9 16 NA 79.05 79.05 0.5500 1.1179 1.2582
## 2 6 6 6 12 73.91 59.89 73.91 0.4946 0.7300 0.3488
## 3 9 9 9 16 67.94 82.41 82.41 1.0020 1.1761 1.3463
## 4 5 3 5 12 24.98 NA 24.98 -0.7480 -0.9389 -1.3108
## 5 5 5 5 12 NA 16.50 16.50 1.7606 0.2333 -0.4500
## 6 10 3 10 16 85.85 51.92 85.85 1.4757 0.4713 1.1127
## FCFMLRTY ICTAVSCH ICTHOME ICTAVHOM
## 1 11 7 0.3346 6
## 2 9 7 0.3346 6
## 3 15 7 0.3346 6
## 4 10 7 0.3346 6
## 5 10 7 0.3346 6
## 6 0 3 -1.5118 5KAYIP VERI INCELEME
- Kayip veri siniflandirma:
- Tamamen rastgele olarak kayip veri “TRK” icin “Missing COMPLETELY at Random (MCAR)”
- Rastgele kayip RK icin “Missing at Random (MAR)”
- Rastgele OLMAYAN kayip - ihmal EDILEMEZ kayip “ROK” icin “NOT Missing at Random (NMAR)”
- Veri setinde cesitli sekillerde olusturdugum kayip degerleri incelemek icin “naniar” ve “ggplot2” paketlerini kullanarak inceleme:
## [1] TRUE## [1] 14864## [1] 0.09604053- Her bir degiskene ait kayip veri sayisini verme:
## CNT CNTSTUID AGE GRADE IMMIG LANGN REPEAT MISSSC
## 0 0 0 0 398 208 256 448
## SKIPPING TARDYSD EXERPRAC STUDYHMW WORKPAY WORKHOME EXPECEDU MATHPREF
## 254 264 469 468 476 475 660 540
## MATHEASE MATHMOT DURECEC SISCO MISCED FISCED HISCED PAREDINT
## 554 542 2149 694 243 323 223 0
## BMMJ1 BFMJ2 HISEI ICTRES HOMEPOS ESCS FCFMLRTY ICTAVSCH
## 776 1126 500 185 182 210 500 543
## ICTHOME ICTAVHOM
## 607 591- Degiskenlere ait kayip veri sayisi ve orani icin genel ozet:
## # A tibble: 34 × 3
## variable n_miss pct_miss
## <chr> <int> <num>
## 1 DURECEC 2149 47.2
## 2 BFMJ2 1126 24.7
## 3 BMMJ1 776 17.0
## 4 SISCO 694 15.2
## 5 EXPECEDU 660 14.5
## 6 ICTHOME 607 13.3
## 7 ICTAVHOM 591 13.0
## 8 MATHEASE 554 12.2
## 9 ICTAVSCH 543 11.9
## 10 MATHMOT 542 11.9
## # ℹ 24 more rows- Degiskenlere gore SUTUN bazinda eksik veriler:
## # A tibble: 29 × 3
## n_miss_in_var n_vars pct_vars
## <int> <int> <dbl>
## 1 0 5 14.7
## 2 182 1 2.94
## 3 185 1 2.94
## 4 208 1 2.94
## 5 210 1 2.94
## 6 223 1 2.94
## 7 243 1 2.94
## 8 254 1 2.94
## 9 256 1 2.94
## 10 264 1 2.94
## # ℹ 19 more rows- Her gozlem SATIR icin eksik veri sayisi ve orani:
## # A tibble: 4,552 × 3
## case n_miss pct_miss
## <int> <int> <dbl>
## 1 15 29 85.3
## 2 28 29 85.3
## 3 69 29 85.3
## 4 92 29 85.3
## 5 101 29 85.3
## 6 133 29 85.3
## 7 152 29 85.3
## 8 160 29 85.3
## 9 172 29 85.3
## 10 174 29 85.3
## # ℹ 4,542 more rows- Veri setindeki eksik degerlerin gozlem SATIR bazinda kac kez tekrarlandigi - AYNI sayida eksik degere sahip olan kac tane SATIR oldugu:
## # A tibble: 30 × 3
## n_miss_in_case n_cases pct_cases
## <int> <int> <dbl>
## 1 0 1533 33.7
## 2 1 1509 33.2
## 3 2 468 10.3
## 4 3 200 4.39
## 5 4 157 3.45
## 6 5 80 1.76
## 7 6 43 0.945
## 8 7 29 0.637
## 9 8 25 0.549
## 10 9 13 0.286
## # ℹ 20 more rows- Degiskende SUTUNDA kac tane eksik veri oldugunu gorsellestirmek icin CUBUK GRAFIGI (bar plot):
- ISI HARITASI:
- “vis_miss(USA)” → SATIR olarak gozlem ve SUTUN
olarak degiskenleri temsil ederek eksik degerleri SIYAH
(eksik veri) & BEYAZ (eksiksiz
veri) isi haritasi olarak gorsellestirmek icin kullanilir.
- “theme(axis.text.x = element_text(angle=80))” fonksiyonu → x-eksenindeki degiskenleri 80 derece (ANGLE) dondururerek okunurlugu arttirmayi saglar.
- UpSet GRAFIGI:
- SOLDA; cubuk (bar plot) grafigi
- ALTTA; Siyah noktalar ve cizgiler → eksik olan degiskenleri gosterir
- USETTE; Hangi eksik veri kombinasyonlarinin kac kez tekrarlandigini gosterir
MCAR TESTI
- “naniar” paketindeki “mcar_test()” fonksiyonunu → veri setindeki
eksik verilerin “Tamamen Rastgele Kayip” (MCAR
- Missing Completely at Random) olup olmadigini test eder.
- p > 0.05 ise → MCAR hipotezi reddedilemez → Eksik veriler TAMAMEN rastgele kaybolmus olabilir.
- p ≤ 0.05 ise → MCAR hipotezi reddedilir → Eksik veriler sistematik bir PATERN izliyor olabilir → MAR veya MNAR
naniar::mcar_test(data=USA[, c(3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34)])## # A tibble: 1 × 4
## statistic df p.value missing.patterns
## <dbl> <dbl> <dbl> <int>
## 1 15162. 9069 0 377Kayip Verinin Degiskenler ile Iliskisi
- Veri kaybinin diger degiskenler ile iliskisi finalfit paketi ile gerceklestirilen t testi:
USA2 <- USA
USA2$IMMIG_m <- USA2$IMMIG
library(kableExtra)
library(finalfit)
explanatory = c("FISCED", "MISCED", "HISCED")
dependent = "IMMIG_m"
USA2 %>%
missing_compare(dependent, explanatory) %>%
knitr::kable(row.names=FALSE, align = c("l", "l", "r", "r", "r"),
caption = "Eksik Veriye sahip OLAN ve OLMAYAN Degiskenlerin Ortalama Karsilastirilmasi") %>%
kable_styling(full_width = TRUE, font_size = 14, bootstrap_options = "striped") %>%
kableExtra::row_spec(0, background = "white", color = "black") | Missing data analysis: IMMIG_m | Not missing | Missing | p | |
|---|---|---|---|---|
| FISCED | Mean (SD) | 6.3 (2.3) | 5.7 (2.7) | <0.001 |
| MISCED | Mean (SD) | 6.8 (2.3) | 5.9 (2.7) | <0.001 |
| HISCED | Mean (SD) | 7.2 (2.2) | 6.4 (2.6) | <0.001 |
- IMMIG_m degiskenindeki eksik verisi OLAN ve OLMAYAN grupların FISCED, MISCED ve HISCED bagimsiz degiskenleri acisindan ortalama (Mean) ve standart sapmalarini (SD) karsilastirmaktadir.
- p degerleri ISTATISTIKSEL OLARAK MANIDAR oldugu
icin:
- IMMI_m degiskenindeki eksik veriler → DUSUK egitim duzeyi ile iliskili
- Hem anne hem baba egitimi DUSUK olan bireylerde → IMMIG_m eksik veri orani daha FAZLA
- Evdeki en YUKSEK egitim seviyesi de DUSUK ise → eksik veri olasiligi ARTIYOR
Welch’s Two Sample t-Testi
miss_test <- USA2 %>% mutate(miss_IMMIG = is.na(IMMIG))
# FISCED degiskeninde eksik verisi olmayanlar:
FISCED_nonna <- miss_test %>% filter(miss_IMMIG == FALSE) %>% pull(FISCED)
# IMMIG degiskeninde eksik verisi olanlar:
FISCED_na <- miss_test %>% filter(miss_IMMIG == TRUE) %>% pull(MISCED)
#c Oran:
t.test(FISCED_nonna, FISCED_na)##
## Welch Two Sample t-test
##
## data: FISCED_nonna and FISCED_na
## t = 2.2657, df = 208.85, p-value = 0.0245
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.05730928 0.82506967
## sample estimates:
## mean of x mean of y
## 6.323843 5.882653- Bu test, FISCED degiskeninin eksik verisi OLAN (FISCED_na) ve
OLMAYAN (FISCED_nonna) gruplarinin ortalamalarinin istatistiksel olarak
farkli olup olmadigini belirlemek icin uygulanmis
- p-degeri = 0.0245 → p < 0.05 oldugu icin → 2 grup arasindaki fark istatistiksel olarak MANIDAR
- Eksik veri OLMAYAN grubun (FISCED_nonna) ortalamasi = 6.32, eksik
veri OLAN grubun (FISCED_na) ortalamasi 5.88’dir.
- FISCED (Babanın Egitim Duzeyi) eksik OLAN bireylerin babalarının ortalama egitim seviyesinin daha DUSUK oldugunu gosterir.
KAYIP VERI ILE BAS ETME YONTEMLERI
Veri Silmeye Dayali Yontemler
- Liste bazinda:
## CNT CNTSTUID AGE GRADE IMMIG LANGN REPEAT MISSSC SKIPPING TARDYSD
## 3 USA 84000004 16.08 0 1 313 0 0 0 0
## 8 USA 84000011 16.08 0 3 313 0 0 0 0
## 9 USA 84000014 16.25 1 1 313 0 0 0 1
## 10 USA 84000015 15.83 0 1 313 0 0 1 1
## 12 USA 84000019 16.25 0 1 313 1 0 0 0
## 13 USA 84000021 15.83 0 1 313 0 1 1 1
## 14 USA 84000023 15.75 0 1 313 0 0 0 0
## 23 USA 84000038 16.17 0 1 313 0 0 0 0
## 30 USA 84000052 16.08 0 1 313 0 0 1 0
## 31 USA 84000054 15.75 0 1 313 0 0 0 0
## 32 USA 84000055 15.50 0 1 313 0 0 0 0
## 33 USA 84000056 15.67 0 1 313 0 0 0 0
## 36 USA 84000060 15.75 -1 1 313 1 0 1 0
## 39 USA 84000064 15.42 -1 1 313 0 0 0 0
## 40 USA 84000071 16.33 1 2 313 0 0 0 0
## 43 USA 84000074 15.83 0 1 313 0 0 1 0
## 48 USA 84000080 16.17 1 1 313 0 0 0 0
## 51 USA 84000085 15.75 0 1 313 0 0 0 1
## 52 USA 84000086 15.75 0 1 313 0 0 0 0
## 54 USA 84000090 15.50 0 2 313 0 0 0 1
## 57 USA 84000093 16.08 0 1 313 0 0 1 1
## 58 USA 84000094 15.83 0 2 313 0 0 1 1
## 61 USA 84000100 15.50 0 2 156 0 0 0 1
## 62 USA 84000101 16.00 0 1 313 0 0 0 0
## 63 USA 84000103 15.92 0 2 156 0 0 1 0
## 65 USA 84000105 15.50 0 1 313 0 0 1 0
## 77 USA 84000126 16.08 0 1 313 0 0 1 2
## 82 USA 84000133 15.67 0 1 313 0 0 0 0
## 84 USA 84000138 16.25 1 3 313 0 0 0 1
## 86 USA 84000143 16.00 0 1 313 0 1 0 0
## 89 USA 84000147 16.17 1 2 156 0 0 0 1
## 93 USA 84000151 15.33 0 1 313 0 0 0 0
## 94 USA 84000155 16.08 0 1 313 0 0 1 1
## 96 USA 84000166 15.75 0 3 156 0 0 0 0
## 97 USA 84000167 15.83 0 1 313 0 0 0 1
## 100 USA 84000176 16.25 0 1 313 0 0 0 1
## 107 USA 84000190 15.67 0 2 313 0 0 1 1
## 108 USA 84000192 15.92 0 1 313 0 0 1 1
## 110 USA 84000195 16.33 1 1 313 0 0 1 0
## 117 USA 84000210 16.00 0 1 313 0 0 0 0
## 119 USA 84000213 16.17 0 1 313 0 0 0 0
## 121 USA 84000216 15.83 0 1 313 0 0 0 1
## 122 USA 84000218 15.92 0 1 313 0 1 0 1
## 123 USA 84000219 16.00 1 2 859 0 0 0 0
## 125 USA 84000221 15.58 0 3 156 0 0 0 0
## 129 USA 84000231 16.17 0 1 313 1 0 0 2
## 132 USA 84000237 16.08 1 1 313 0 0 1 0
## 136 USA 84000246 16.08 0 1 313 0 0 1 0
## 138 USA 84000253 15.67 0 1 313 0 0 0 0
## 139 USA 84000254 16.08 0 1 313 0 0 0 0
## 140 USA 84000255 16.25 0 1 313 1 0 0 1
## 146 USA 84000264 15.67 0 1 313 0 0 0 0
## 148 USA 84000266 15.58 0 1 313 0 0 1 1
## 150 USA 84000268 15.33 0 1 313 0 0 0 1
## 151 USA 84000271 15.50 0 1 313 0 0 1 1
## 153 USA 84000279 15.67 0 2 156 0 0 0 0
## 159 USA 84000290 16.08 1 1 313 0 0 1 0
## 162 USA 84000294 15.67 0 2 313 0 0 0 0
## 165 USA 84000298 16.08 0 1 313 0 0 0 0
## 175 USA 84000313 16.25 1 1 156 0 0 1 2
## 179 USA 84000322 16.33 1 1 313 0 0 0 1
## 180 USA 84000325 15.42 0 1 313 0 0 0 0
## 181 USA 84000330 16.33 1 1 313 0 0 0 2
## 182 USA 84000334 16.00 0 1 313 0 0 0 0
## 184 USA 84000337 15.50 0 2 156 0 0 0 0
## 187 USA 84000343 15.75 0 2 313 0 0 0 0
## 191 USA 84000352 15.58 0 1 313 0 0 0 1
## 196 USA 84000363 15.83 0 1 313 0 0 1 0
## 201 USA 84000374 16.08 0 3 156 0 0 1 0
## 203 USA 84000380 16.17 1 2 313 0 0 0 0
## 204 USA 84000381 15.75 0 1 313 0 0 0 0
## 205 USA 84000383 15.75 0 1 313 0 0 0 0
## 206 USA 84000384 15.58 0 3 859 0 0 1 0
## 207 USA 84000388 16.08 1 1 313 0 0 1 0
## 210 USA 84000393 15.33 0 1 313 0 0 1 1
## 212 USA 84000395 16.00 0 1 313 0 1 1 1
## 213 USA 84000396 15.42 0 1 313 0 0 1 2
## 218 USA 84000402 15.83 -1 1 313 1 1 1 2
## 226 USA 84000414 15.50 0 2 156 1 1 1 2
## 232 USA 84000426 15.42 0 2 156 0 0 0 0
## 234 USA 84000430 15.92 0 1 313 0 0 1 0
## 238 USA 84000437 16.00 0 1 313 0 1 0 0
## 240 USA 84000442 15.75 -1 1 313 1 0 0 1
## 247 USA 84000455 15.83 0 1 313 0 0 0 0
## 249 USA 84000458 16.25 1 3 859 0 0 0 1
## 250 USA 84000460 15.92 0 1 313 0 0 1 2
## 252 USA 84000462 15.75 0 1 313 0 0 0 0
## 253 USA 84000463 15.92 0 1 313 0 0 0 0
## 259 USA 84000480 15.92 0 2 313 0 0 1 1
## 260 USA 84000482 16.00 0 1 313 0 0 1 0
## 264 USA 84000489 16.00 0 1 313 0 0 1 0
## 265 USA 84000491 15.50 0 1 313 0 0 0 1
## 266 USA 84000492 15.75 0 1 313 0 0 0 0
## 269 USA 84000496 16.17 0 1 313 0 0 1 2
## 270 USA 84000497 15.67 0 1 313 0 0 0 2
## 272 USA 84000499 16.00 0 1 313 0 0 1 2
## 276 USA 84000504 15.50 0 1 313 0 0 0 2
## 279 USA 84000509 15.50 0 1 313 0 0 0 2
## 281 USA 84000513 16.00 0 2 156 0 0 0 0
## 283 USA 84000516 15.42 0 1 313 0 0 1 2
## 287 USA 84000526 15.67 0 1 313 0 0 1 0
## 290 USA 84000530 16.00 0 1 313 0 0 0 1
## 296 USA 84000542 16.25 1 1 313 0 0 0 1
## 297 USA 84000545 15.67 0 1 313 0 0 0 0
## 299 USA 84000547 15.42 0 2 156 0 0 1 0
## 305 USA 84000556 15.75 0 1 313 0 0 1 1
## 306 USA 84000557 15.58 0 1 313 0 0 0 0
## 307 USA 84000558 15.75 0 2 859 0 0 1 1
## 311 USA 84000565 16.00 0 1 313 0 0 0 0
## 312 USA 84000566 15.75 -1 1 313 0 0 0 0
## 315 USA 84000569 15.58 0 1 313 0 0 0 1
## 320 USA 84000574 16.25 1 1 313 0 0 1 1
## 322 USA 84000578 15.58 0 1 313 0 0 1 0
## 326 USA 84000586 15.75 0 1 313 0 0 1 1
## 327 USA 84000587 16.00 0 1 313 0 0 0 2
## 330 USA 84000590 15.42 0 1 313 0 0 0 0
## 333 USA 84000601 16.17 1 1 313 0 0 0 1
## 335 USA 84000604 15.42 0 1 313 0 1 0 0
## 336 USA 84000606 15.42 -1 1 859 0 1 1 1
## 338 USA 84000611 15.50 0 1 313 0 0 0 0
## 339 USA 84000613 15.50 0 1 313 0 0 1 1
## 344 USA 84000621 15.58 -1 1 313 0 0 0 0
## 345 USA 84000622 15.58 0 2 156 0 0 1 0
## 353 USA 84000636 15.58 0 2 156 0 0 1 2
## 356 USA 84000642 16.08 0 1 313 0 0 0 1
## 359 USA 84000648 16.00 1 1 313 0 0 0 1
## 361 USA 84000650 15.75 0 1 313 0 0 1 2
## 368 USA 84000661 16.00 0 1 313 0 0 0 0
## 377 USA 84000678 15.83 0 1 313 0 0 0 0
## 378 USA 84000681 16.17 0 1 313 0 1 1 2
## 383 USA 84000686 15.67 0 1 313 0 0 0 0
## 384 USA 84000688 16.25 1 1 313 0 0 1 2
## 385 USA 84000689 16.08 0 1 313 0 0 0 1
## 386 USA 84000690 15.50 0 1 313 0 1 0 0
## 389 USA 84000694 16.00 0 1 313 0 0 0 0
## 390 USA 84000700 15.67 0 1 313 0 1 0 1
## 392 USA 84000705 16.25 0 1 313 0 0 0 0
## 400 USA 84000716 15.50 -1 1 313 0 1 1 0
## 403 USA 84000724 16.33 1 1 313 0 0 1 1
## 404 USA 84000726 15.50 -1 1 313 1 0 1 0
## 409 USA 84000734 15.75 0 1 313 0 0 0 0
## 411 USA 84000736 15.33 0 1 313 0 0 0 0
## 412 USA 84000738 15.83 0 1 313 0 0 0 1
## 416 USA 84000742 16.17 0 1 313 0 0 1 0
## 420 USA 84000754 16.33 1 1 313 0 0 0 0
## 421 USA 84000756 15.50 0 2 313 0 0 0 1
## 425 USA 84000760 15.50 0 1 313 0 0 1 1
## 426 USA 84000762 15.75 0 2 156 0 1 0 1
## 427 USA 84000764 15.67 0 1 313 0 0 0 0
## 432 USA 84000774 16.25 1 1 313 0 0 0 2
## 433 USA 84000776 16.08 0 1 313 0 0 1 0
## 435 USA 84000779 15.75 0 1 313 0 0 0 1
## 436 USA 84000782 15.42 0 1 313 0 0 1 1
## 439 USA 84000789 15.50 0 1 313 0 0 1 0
## 440 USA 84000790 15.33 -1 1 313 0 0 1 2
## 441 USA 84000792 15.75 0 1 313 0 0 0 0
## 448 USA 84000804 15.58 0 2 156 0 0 0 1
## 452 USA 84000813 16.08 1 2 313 0 0 0 0
## 457 USA 84000821 16.17 0 1 313 0 0 0 1
## 463 USA 84000832 16.25 0 1 313 0 0 0 1
## 467 USA 84000842 16.33 1 1 313 0 0 1 0
## 473 USA 84000852 15.42 0 1 313 0 0 0 0
## 478 USA 84000862 15.75 0 1 313 0 0 1 1
## 481 USA 84000869 15.58 0 1 313 0 0 1 2
## 485 USA 84000879 15.67 0 1 313 0 0 0 0
## 487 USA 84000881 16.17 0 1 313 0 0 0 0
## 489 USA 84000888 15.42 -1 1 313 1 0 1 1
## 491 USA 84000890 15.33 -1 1 313 0 0 1 1
## 493 USA 84000892 15.58 0 2 859 0 0 0 0
## 496 USA 84000898 15.75 0 1 313 0 0 0 0
## 504 USA 84000915 15.83 0 2 156 0 0 0 1
## 506 USA 84000922 16.17 1 2 156 0 0 0 0
## 510 USA 84000932 15.42 0 1 156 0 0 1 1
## 511 USA 84000935 15.83 0 2 156 0 0 1 1
## 512 USA 84000936 16.00 1 1 313 0 0 1 2
## 520 USA 84000952 15.92 1 2 156 0 0 1 2
## 522 USA 84000962 15.83 0 1 313 0 0 0 0
## 527 USA 84000973 15.33 0 2 313 0 0 0 0
## 529 USA 84000977 15.58 0 1 313 0 0 0 1
## 532 USA 84000981 15.92 0 1 313 0 0 0 0
## 533 USA 84000982 15.75 0 1 313 0 0 0 0
## 536 USA 84000986 16.17 1 2 156 0 0 0 1
## 537 USA 84000987 15.50 0 2 156 0 1 0 1
## 545 USA 84000998 15.33 0 1 313 0 0 0 1
## 546 USA 84000999 15.58 0 1 313 0 0 0 0
## 547 USA 84001000 16.33 1 1 313 0 0 1 0
## 548 USA 84001001 15.83 0 1 313 0 0 0 0
## 549 USA 84001002 16.33 1 2 156 0 0 0 0
## 550 USA 84001003 16.17 0 1 313 0 1 1 0
## 552 USA 84001007 15.50 0 1 313 0 0 0 0
## 563 USA 84001026 15.92 0 1 313 0 1 1 0
## 566 USA 84001030 16.25 1 1 313 0 0 0 0
## 570 USA 84001035 15.42 0 2 313 0 0 0 0
## 572 USA 84001037 15.50 0 1 313 0 0 0 0
## 580 USA 84001051 15.33 0 1 313 0 0 1 0
## 584 USA 84001060 15.75 0 1 313 0 0 0 1
## 585 USA 84001061 15.50 0 1 313 0 0 0 0
## 602 USA 84001087 15.75 0 1 313 0 0 0 0
## 604 USA 84001089 15.42 0 2 156 0 0 0 0
## 605 USA 84001091 16.33 1 1 313 0 0 0 0
## 608 USA 84001095 15.42 0 1 313 0 0 0 0
## 612 USA 84001102 15.67 0 1 313 0 0 1 0
## 614 USA 84001106 15.92 0 1 313 0 0 0 0
## 617 USA 84001112 16.00 0 1 313 0 0 0 0
## 620 USA 84001120 15.58 -1 1 313 1 0 0 1
## 627 USA 84001134 15.75 0 1 313 0 0 0 0
## 630 USA 84001138 15.67 0 1 313 0 0 0 0
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## 3458 3 3 3 2 8 0 0 0
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## 3460 5 0 1 0 4 1 1 0
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## 3494 10 6 5 5 9 0 0 0
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## 3515 0 0 2 10 4 0 0 0
## 3516 0 0 1 0 2 0 0 0
## 3517 10 0 10 10 8 0 0 0
## 3521 0 3 0 5 4 0 0 0
## 3527 9 0 0 4 4 0 0 0
## 3532 2 7 3 3 9 0 0 0
## 3533 0 2 4 0 7 0 0 0
## 3537 10 5 1 7 2 0 0 0
## 3541 8 6 0 9 7 0 0 0
## 3546 6 8 0 0 8 0 0 0
## 3553 0 4 0 10 4 0 0 0
## 3557 2 4 0 0 5 0 0 0
## 3562 10 0 0 10 4 0 0 0
## 3564 5 3 0 4 8 1 0 0
## 3565 7 5 3 3 8 0 0 0
## 3568 6 0 4 1 7 1 0 0
## 3570 6 2 0 3 5 0 0 0
## 3572 10 10 0 10 8 0 0 0
## 3576 2 1 0 0 6 0 0 0
## 3578 0 4 0 1 7 0 0 0
## 3580 6 6 0 4 6 0 0 0
## 3582 6 0 10 0 9 0 0 0
## 3583 3 10 5 3 9 1 0 0
## 3588 6 7 0 0 4 0 0 0
## 3590 10 8 0 9 7 0 0 0
## 3594 7 10 3 8 9 0 0 0
## 3595 3 4 0 3 9 0 0 0
## 3598 0 3 0 1 4 1 1 0
## 3605 10 4 0 8 7 0 0 0
## 3615 0 3 0 2 8 0 0 0
## 3619 10 0 10 4 7 0 0 0
## 3622 5 4 1 3 8 0 0 0
## 3623 5 6 0 7 4 1 1 0
## 3624 1 7 1 0 9 0 0 0
## 3625 4 3 0 0 4 0 0 0
## 3628 3 10 1 2 8 0 1 0
## 3630 0 1 0 4 7 0 0 0
## 3633 7 4 4 3 2 0 0 0
## 3638 5 10 0 3 9 0 0 0
## 3643 5 7 0 5 8 1 0 1
## 3645 10 10 0 0 8 0 0 0
## 3646 6 9 0 2 8 0 0 0
## 3647 2 10 0 2 8 0 0 0
## 3649 6 4 0 10 7 0 0 0
## 3651 4 7 0 1 8 1 0 0
## 3653 10 2 0 10 7 0 0 0
## 3654 6 6 10 6 8 0 0 0
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## 3658 4 4 0 3 7 0 0 0
## 3659 0 4 3 4 7 0 0 0
## 3664 3 7 0 4 7 0 0 0
## 3666 3 5 7 8 8 0 0 0
## 3670 8 5 0 2 7 0 0 0
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## 3675 5 8 0 0 8 0 0 0
## 3676 3 8 0 2 8 1 0 0
## 3682 0 0 0 0 5 0 0 0
## 3684 10 2 10 10 9 0 0 0
## 3686 3 0 5 2 7 1 0 0
## 3689 3 6 0 6 8 0 0 0
## 3691 8 6 0 4 8 0 0 0
## 3697 3 4 0 3 4 1 0 0
## 3699 0 3 0 6 4 1 1 0
## 3707 0 3 0 2 8 0 0 0
## 3711 2 10 0 5 7 0 0 0
## 3712 5 10 0 10 8 0 0 0
## 3718 4 3 0 0 7 1 1 0
## 3719 3 7 0 7 9 1 1 1
## 3725 0 3 0 9 7 0 1 0
## 3727 5 10 0 3 8 0 0 0
## 3728 5 5 0 0 4 0 0 0
## 3729 0 10 5 10 9 0 0 0
## 3730 10 6 0 0 9 0 0 0
## 3735 9 3 2 7 8 0 0 0
## 3739 2 6 0 4 8 0 0 0
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## 3741 2 8 0 2 7 0 0 0
## 3748 2 2 0 0 4 0 1 0
## 3751 0 0 10 10 8 0 0 0
## 3765 5 3 0 2 9 0 0 0
## 3770 1 10 0 0 8 0 0 0
## 3774 4 4 1 1 8 0 0 0
## 3775 2 2 0 10 8 0 0 0
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## 3790 5 5 1 6 7 1 0 0
## 3791 3 5 2 2 4 0 1 0
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## 3793 5 5 0 10 9 1 0 0
## 3795 5 3 0 2 9 0 0 0
## 3799 10 10 6 0 8 0 0 0
## 3804 5 4 0 8 7 1 1 0
## 3805 10 4 0 2 9 0 0 0
## 3810 8 9 8 9 5 0 0 0
## 3815 6 2 0 10 9 1 1 0
## 3824 10 4 0 0 8 0 0 0
## 3826 3 5 0 4 6 0 0 0
## 3827 0 4 2 0 7 0 0 0
## 3829 10 6 0 8 4 1 1 0
## 3835 5 5 0 0 8 0 0 0
## 3838 1 5 0 2 4 0 0 0
## 3839 4 5 6 3 8 0 1 0
## 3840 0 1 0 10 9 0 0 0
## 3851 0 7 1 0 8 0 0 0
## 3856 1 7 8 5 7 0 0 0
## 3859 5 5 0 3 9 0 0 0
## 3861 0 7 0 5 9 0 0 0
## 3862 10 6 0 2 7 1 1 0
## 3868 10 10 2 3 4 0 0 0
## 3871 4 10 4 0 9 0 0 0
## 3877 1 10 6 8 8 1 1 0
## 3880 0 0 0 0 8 0 0 0
## 3882 3 0 0 1 8 0 0 0
## 3886 5 5 0 2 7 0 0 0
## 3887 8 4 4 9 7 0 1 0
## 3889 2 1 0 6 4 0 0 0
## 3891 10 8 6 6 4 0 0 0
## 3893 3 0 0 5 6 1 1 1
## 3898 6 6 0 3 7 0 1 0
## 3899 10 6 0 1 9 0 0 0
## 3908 8 1 10 0 7 1 1 0
## 3909 4 4 1 2 4 0 0 0
## 3911 10 6 2 4 2 0 0 0
## 3916 0 5 0 5 7 0 0 0
## 3919 7 5 0 0 8 0 0 0
## 3921 10 3 4 5 4 0 0 0
## 3923 10 10 1 2 8 0 0 0
## 3928 5 5 0 3 8 0 0 0
## 3934 0 0 0 0 8 0 0 0
## 3937 10 5 0 10 8 0 0 0
## 3942 0 3 1 0 8 0 0 0
## 3944 10 0 0 10 9 0 0 0
## 3948 9 4 0 2 9 0 0 0
## 3949 0 2 0 3 2 0 0 0
## 3951 0 7 3 10 7 0 0 0
## 3954 4 6 0 1 7 0 0 0
## 3956 10 10 1 10 8 0 0 0
## 3959 3 10 0 3 9 0 0 0
## 3964 2 5 0 3 9 0 0 0
## 3965 0 6 0 6 8 0 0 0
## 3966 5 2 0 0 9 0 0 0
## 3967 9 2 0 4 9 0 0 0
## 3976 3 7 0 10 7 0 0 0
## 3980 10 7 8 9 8 0 0 0
## 3981 0 0 0 0 4 1 1 0
## 3983 5 5 0 9 7 0 0 0
## 3984 5 4 0 10 8 0 0 0
## 3985 1 4 0 2 9 0 0 0
## 3986 0 6 3 10 5 0 0 0
## 3987 5 2 3 0 8 0 0 0
## 3989 10 10 4 8 8 1 0 0
## 3998 0 0 0 6 9 0 0 0
## 4000 5 4 0 0 7 0 0 0
## 4001 10 6 6 10 7 0 0 0
## 4005 0 4 6 0 7 0 0 0
## 4006 5 5 0 5 8 0 0 0
## 4007 2 3 0 5 7 0 0 0
## 4013 0 8 1 8 8 1 0 0
## 4016 10 0 0 5 7 1 1 0
## 4020 1 10 0 10 7 0 1 0
## 4022 5 5 0 5 7 0 0 0
## 4023 10 10 0 2 4 0 0 0
## 4028 6 4 10 10 8 0 0 0
## 4029 10 0 2 10 8 0 0 0
## 4031 4 2 0 2 7 0 0 0
## 4034 3 6 3 0 9 1 1 0
## 4037 10 7 0 4 6 0 0 0
## 4040 6 8 0 1 8 0 0 0
## 4043 8 8 4 3 7 1 0 0
## 4047 4 2 1 4 9 0 0 0
## 4048 8 4 0 2 8 1 0 0
## 4052 10 2 3 10 9 0 1 0
## 4054 0 0 10 10 5 0 0 0
## 4056 5 2 2 0 9 0 0 0
## 4058 3 2 0 10 7 0 1 0
## 4059 6 7 0 9 8 0 1 0
## 4067 10 10 10 10 9 0 0 0
## 4068 2 6 10 0 9 0 0 0
## 4074 7 10 0 7 9 0 0 0
## 4075 10 7 1 1 7 0 0 0
## 4077 10 10 0 4 8 0 0 0
## 4078 8 3 1 1 7 0 0 0
## 4083 8 4 0 2 9 0 0 0
## 4088 1 3 2 4 8 0 0 0
## 4091 10 10 10 10 8 0 0 0
## 4101 8 6 0 6 4 0 0 0
## 4108 0 7 0 6 7 0 0 0
## 4110 10 10 0 0 7 0 0 0
## 4114 5 0 5 0 2 0 0 0
## 4115 0 5 3 2 9 0 0 0
## 4119 2 0 0 2 4 0 0 0
## 4122 10 10 0 10 7 0 0 0
## 4124 2 7 1 5 9 0 0 0
## 4127 7 5 6 4 8 0 0 0
## 4129 5 0 0 3 4 0 0 0
## 4132 10 10 0 0 9 1 1 0
## 4133 4 8 0 2 6 0 0 0
## 4135 0 4 0 0 8 0 0 0
## 4142 0 9 0 4 4 0 0 0
## 4144 0 0 4 0 7 0 0 0
## 4145 3 9 1 3 7 0 0 0
## 4146 10 5 0 0 8 1 0 0
## 4147 2 2 0 1 9 0 0 0
## 4149 8 3 0 5 5 0 0 0
## 4150 8 10 0 10 9 1 0 0
## 4152 2 0 1 7 4 0 0 0
## 4155 0 0 2 10 7 0 0 0
## 4156 0 5 0 0 6 1 1 0
## 4157 6 5 0 5 9 0 0 0
## 4160 10 10 10 10 9 0 0 0
## 4162 10 5 2 3 5 0 0 0
## 4164 10 4 0 5 8 0 0 0
## 4166 10 10 0 5 4 0 0 0
## 4167 6 0 0 7 5 0 0 0
## 4168 5 3 0 3 7 0 0 0
## 4170 4 7 6 5 7 0 0 0
## 4179 5 5 0 0 9 0 0 0
## 4181 1 6 0 5 7 0 0 0
## 4186 2 4 0 10 9 0 0 0
## 4192 4 8 2 10 9 1 1 1
## 4197 8 3 2 4 6 1 0 1
## 4202 10 5 2 0 8 0 0 0
## 4205 4 6 0 1 7 0 1 0
## 4208 10 10 1 6 7 0 0 0
## 4210 3 9 0 6 5 0 0 0
## 4214 10 8 0 0 8 0 0 0
## 4222 0 0 10 5 4 0 0 0
## 4226 5 4 0 4 8 0 0 0
## 4232 5 10 2 0 9 1 1 0
## 4234 6 10 0 0 8 0 0 0
## 4235 0 10 0 5 9 0 0 0
## 4236 2 2 4 1 5 0 0 0
## 4238 8 10 2 10 6 0 1 0
## 4239 10 10 0 8 8 0 0 0
## 4241 6 3 0 0 6 0 0 0
## 4246 10 0 10 3 6 0 0 0
## 4247 10 9 0 10 9 0 0 0
## 4248 10 10 10 10 9 0 0 0
## 4252 0 5 0 4 7 0 0 0
## 4254 0 3 0 2 8 0 0 0
## 4259 7 8 0 0 7 0 0 0
## 4260 8 10 0 6 8 0 0 0
## 4262 5 7 0 0 8 0 0 0
## 4264 0 0 0 0 4 0 0 0
## 4266 5 7 0 9 6 1 1 0
## 4269 10 6 0 6 7 0 0 0
## 4271 5 5 0 2 9 0 0 0
## 4275 3 5 0 0 8 0 0 0
## 4283 5 5 1 2 7 1 1 1
## 4286 5 6 4 4 7 0 0 0
## 4287 1 2 1 6 4 0 0 0
## 4289 5 3 0 3 5 0 0 0
## 4291 2 7 0 10 9 0 1 0
## 4293 5 6 1 9 9 0 0 0
## 4297 8 5 0 0 8 0 0 0
## 4302 10 10 0 7 9 0 0 0
## 4303 1 2 0 0 4 0 0 0
## 4304 5 7 0 0 7 0 0 0
## 4306 3 3 0 1 4 0 0 0
## 4309 10 8 4 6 4 0 0 0
## 4310 1 1 0 4 9 0 0 0
## 4312 3 2 3 8 4 0 0 0
## 4314 0 1 0 0 5 0 1 0
## 4324 7 2 1 0 4 0 0 0
## 4328 8 4 0 0 8 1 1 1
## 4331 4 2 0 0 8 0 0 0
## 4333 7 8 0 5 7 0 0 0
## 4334 10 4 0 0 9 0 0 0
## 4337 4 6 0 7 5 1 1 0
## 4339 6 1 0 0 7 0 0 0
## 4340 0 3 0 3 6 1 0 0
## 4341 5 10 0 0 9 0 0 0
## 4342 5 5 0 0 4 0 0 0
## 4345 4 8 0 5 8 1 0 0
## 4350 0 8 0 4 7 0 0 0
## 4352 6 8 2 4 7 1 1 0
## 4355 0 1 2 2 9 0 0 1
## 4358 10 4 0 7 4 1 0 0
## 4362 4 4 0 5 5 0 0 0
## 4366 6 5 10 5 5 0 0 0
## 4370 0 4 0 7 6 0 0 0
## 4373 5 0 0 5 9 1 1 0
## 4374 0 9 0 0 8 0 0 0
## 4375 8 6 0 2 7 1 1 0
## 4376 7 0 0 2 9 0 0 0
## 4378 8 6 0 2 9 0 0 0
## 4380 3 6 0 0 8 1 0 0
## 4385 3 1 0 0 7 0 0 0
## 4386 5 2 0 1 8 1 1 0
## 4387 7 5 0 0 9 0 0 0
## 4390 6 8 3 6 8 0 0 0
## 4391 5 6 0 0 8 0 0 0
## 4392 5 6 0 0 4 0 0 0
## 4393 3 2 0 1 8 0 0 0
## 4395 10 7 4 8 7 0 0 0
## 4396 5 5 10 5 9 0 0 0
## 4398 8 6 0 0 9 1 0 0
## 4402 2 3 0 10 5 0 0 0
## 4407 0 3 0 1 7 0 0 0
## 4408 3 5 0 3 7 0 0 0
## 4414 3 7 3 0 7 1 0 0
## 4416 10 10 0 2 6 0 0 0
## 4417 0 6 0 3 7 1 0 0
## 4418 5 4 0 6 9 0 0 0
## 4419 2 0 1 6 5 1 0 0
## 4430 10 2 3 5 7 0 0 0
## 4432 0 1 0 7 8 0 0 0
## 4433 1 8 10 9 9 0 0 0
## 4434 6 10 0 7 9 0 0 0
## 4437 1 4 0 5 7 0 0 0
## 4439 10 5 0 0 8 0 0 0
## 4443 5 3 0 0 7 0 1 1
## 4444 5 4 3 1 7 0 0 0
## 4451 5 4 5 5 6 0 0 0
## 4452 10 0 0 10 4 0 0 0
## 4460 2 4 0 4 8 1 0 0
## 4462 10 4 2 8 9 0 0 0
## 4466 0 5 0 1 7 0 0 0
## 4467 6 2 0 0 4 0 0 0
## 4472 5 6 1 0 8 0 0 0
## 4485 7 10 2 2 7 0 0 0
## 4486 5 5 0 2 7 1 0 0
## 4491 10 10 0 10 8 0 0 0
## 4492 5 0 0 5 9 0 0 0
## 4493 0 3 0 0 4 0 0 0
## 4496 6 5 0 10 8 0 0 0
## 4497 8 5 0 5 9 0 0 0
## 4499 10 10 0 2 9 0 0 0
## 4500 2 10 0 10 8 0 0 0
## 4502 0 2 3 0 7 0 0 0
## 4503 0 6 0 10 8 0 0 0
## 4504 1 1 1 1 9 0 1 0
## 4505 10 6 1 2 8 1 1 0
## 4506 7 0 0 0 7 0 0 0
## 4511 8 6 2 10 5 0 0 0
## 4516 5 2 3 5 8 1 1 0
## 4517 3 2 0 0 7 0 0 0
## 4518 10 10 0 0 9 0 0 0
## 4519 2 5 0 3 9 0 0 0
## 4521 8 6 1 5 7 1 0 0
## 4522 4 4 0 0 9 0 0 0
## 4529 7 7 2 8 8 0 0 0
## 4530 10 6 4 8 9 0 0 0
## 4532 0 2 0 2 8 0 0 0
## 4535 4 8 0 6 4 0 0 0
## 4547 5 6 0 3 8 0 0 0
## 4550 5 4 2 4 8 0 0 0
## 4552 4 3 0 0 7 0 0 0
## DURECEC SISCO MISCED FISCED HISCED PAREDINT BMMJ1 BFMJ2 HISEI ICTRES
## 3 2 1 9 9 9 16.0 67.94 82.41 82.41 1.0020
## 8 1 1 9 8 9 16.0 70.50 27.52 70.50 0.2867
## 9 3 1 10 10 10 16.0 73.91 73.91 73.91 2.2545
## 10 1 0 8 9 9 16.0 70.10 70.89 70.89 -0.3588
## 12 1 1 5 5 5 12.0 25.04 33.76 33.76 0.7541
## 13 3 1 6 7 7 14.5 31.08 35.34 35.34 0.8701
## 14 2 1 10 10 10 16.0 54.54 51.01 54.54 0.7159
## 23 2 1 8 5 8 16.0 60.29 27.52 60.29 -0.0073
## 30 1 1 8 6 8 16.0 57.00 21.96 57.00 0.1106
## 31 2 1 8 5 8 16.0 17.00 73.91 73.91 1.5585
## 32 2 1 5 5 5 12.0 21.24 80.78 80.78 0.0811
## 33 1 0 7 8 8 16.0 60.29 75.13 75.13 1.4072
## 36 2 1 9 3 9 16.0 66.42 17.55 66.42 -1.1862
## 39 3 0 8 8 8 16.0 62.39 49.48 62.39 1.0382
## 40 2 1 8 7 8 16.0 62.39 25.26 62.39 -0.6510
## 43 3 1 6 5 6 12.0 70.89 59.89 70.89 0.4248
## 48 1 1 10 9 10 16.0 81.92 39.45 81.92 0.2893
## 51 4 1 10 9 10 16.0 68.70 72.27 72.27 2.7402
## 52 2 1 8 9 9 16.0 82.41 59.89 82.41 0.1428
## 54 3 1 9 9 9 16.0 57.38 85.41 85.41 -0.9327
## 57 3 1 10 5 10 16.0 68.70 36.92 68.70 1.2368
## 58 1 1 1 1 1 3.0 16.50 30.90 30.90 -0.3003
## 61 2 1 5 5 5 12.0 14.21 50.15 50.15 -0.8091
## 62 2 1 7 5 7 14.5 60.29 11.56 60.29 0.5133
## 63 1 1 8 8 8 16.0 17.00 36.35 36.35 -0.8601
## 65 1 0 9 9 9 16.0 68.70 51.50 68.70 -0.4646
## 77 4 1 8 9 9 16.0 43.33 70.34 70.34 0.3624
## 82 2 0 5 5 5 12.0 16.50 11.74 16.50 0.9473
## 84 2 1 7 10 10 16.0 68.70 16.50 68.70 -0.0136
## 86 3 1 8 8 8 16.0 65.01 65.42 65.42 1.0020
## 89 1 1 6 6 6 12.0 11.74 82.31 82.31 0.4011
## 93 5 1 3 9 9 16.0 26.64 25.26 26.64 -1.5380
## 94 3 1 8 8 8 16.0 70.50 82.41 82.41 -0.2803
## 96 4 1 8 8 8 16.0 68.88 68.88 68.88 -1.2415
## 97 2 1 5 5 5 12.0 52.72 30.78 52.72 -1.3354
## 100 3 1 9 7 9 16.0 65.01 78.76 78.76 1.6820
## 107 2 1 5 2 5 12.0 44.14 11.74 44.14 -1.4050
## 108 3 0 9 7 9 16.0 68.70 23.80 68.70 1.3441
## 110 1 0 7 5 7 14.5 53.15 25.95 53.15 0.4856
## 117 2 1 8 8 8 16.0 53.15 62.45 62.45 1.2946
## 119 2 1 9 5 9 16.0 82.41 56.35 82.41 0.5800
## 121 1 1 5 5 5 12.0 79.74 25.26 79.74 0.4505
## 122 3 1 3 5 5 12.0 24.53 29.73 29.73 -0.6259
## 123 2 1 7 5 7 14.5 35.34 27.52 35.34 0.1601
## 125 2 1 7 5 7 14.5 75.43 18.08 75.43 -0.8430
## 129 1 1 8 8 8 16.0 82.41 51.50 82.41 0.2867
## 132 4 1 10 10 10 16.0 17.00 81.92 81.92 1.2422
## 136 3 1 10 7 10 16.0 68.70 35.34 68.70 -0.3588
## 138 1 1 5 8 8 16.0 53.15 40.54 53.15 -0.2000
## 139 1 1 9 8 9 16.0 39.02 76.49 76.49 0.8542
## 140 2 1 3 3 3 9.0 27.52 25.06 27.52 1.4815
## 146 3 1 9 8 9 16.0 68.70 58.07 68.70 -0.3200
## 148 1 1 8 8 8 16.0 68.70 25.95 68.70 -0.6548
## 150 2 1 10 9 10 16.0 57.04 81.40 81.40 0.1428
## 151 3 1 6 7 7 14.5 31.08 25.95 31.08 -0.3527
## 153 3 1 6 7 7 14.5 17.00 28.52 28.52 1.3291
## 159 1 1 5 8 8 16.0 31.08 61.57 61.57 -0.1320
## 162 3 1 2 2 2 6.0 14.82 15.35 15.35 0.0147
## 165 1 0 3 7 7 14.5 71.39 43.85 71.39 0.7600
## 175 2 0 3 3 3 9.0 16.50 29.84 29.84 0.6293
## 179 2 1 8 8 8 16.0 24.98 81.40 81.40 -0.1177
## 180 3 1 9 9 9 16.0 70.89 65.12 70.89 0.6731
## 181 2 1 8 8 8 16.0 62.39 43.85 62.39 0.6890
## 182 2 1 5 5 5 12.0 65.01 27.52 65.01 0.3344
## 184 1 0 6 3 6 12.0 24.68 20.91 24.68 0.9449
## 187 2 1 5 5 5 12.0 13.24 22.16 22.16 0.5349
## 191 2 0 9 9 9 16.0 85.41 21.82 85.41 1.5160
## 196 2 1 8 8 8 16.0 76.65 76.65 76.65 0.6055
## 201 3 1 9 9 9 16.0 71.39 65.12 71.39 -0.0073
## 203 2 1 9 8 9 16.0 68.70 14.21 68.70 -0.7631
## 204 4 1 9 10 10 16.0 76.49 85.41 85.41 0.7505
## 205 5 1 9 10 10 16.0 65.01 77.10 77.10 0.3733
## 206 2 1 9 9 9 16.0 61.57 75.13 75.13 0.5500
## 207 3 1 5 5 5 12.0 70.50 21.82 70.50 0.1371
## 210 2 1 9 8 9 16.0 76.65 11.74 76.65 1.2763
## 212 1 1 8 7 8 16.0 36.35 36.35 36.35 -1.4212
## 213 3 1 9 7 9 16.0 43.85 35.34 43.85 0.4343
## 218 3 0 7 5 7 14.5 52.72 27.91 52.72 -0.5752
## 226 6 1 7 10 10 16.0 24.53 71.39 71.39 0.1692
## 232 2 1 3 7 7 14.5 17.00 33.76 33.76 1.0229
## 234 3 1 10 8 10 16.0 26.64 25.04 26.64 -0.3003
## 238 2 1 9 8 9 16.0 68.70 60.29 68.70 0.8768
## 240 3 1 5 5 5 12.0 21.64 51.56 51.56 1.0936
## 247 2 1 6 5 6 12.0 21.64 35.34 35.34 -0.5558
## 249 2 1 8 8 8 16.0 74.66 74.66 74.66 0.7900
## 250 2 1 7 6 7 14.5 52.72 77.10 77.10 1.4380
## 252 2 0 8 8 8 16.0 75.54 73.91 75.54 1.4216
## 253 2 1 9 5 9 16.0 48.13 18.08 48.13 -0.3003
## 259 2 1 2 1 2 6.0 30.90 13.34 30.90 -0.8787
## 260 3 1 9 8 9 16.0 82.41 74.79 82.41 1.8562
## 264 3 0 8 9 9 16.0 76.49 50.05 76.49 -0.6885
## 265 0 1 8 5 8 16.0 71.39 51.50 71.39 -0.9602
## 266 3 0 5 5 5 12.0 75.43 50.05 75.43 2.2514
## 269 2 1 6 5 6 12.0 21.24 16.36 21.24 0.3311
## 270 2 1 9 9 9 16.0 76.49 81.78 81.78 1.4904
## 272 3 1 5 9 9 16.0 51.56 70.34 70.34 -0.9103
## 276 3 1 9 9 9 16.0 21.24 70.34 70.34 -1.0331
## 279 2 0 9 9 9 16.0 65.01 71.39 71.39 1.1084
## 281 2 1 8 8 8 16.0 16.38 26.62 26.62 -0.3588
## 283 3 1 5 5 5 12.0 28.04 27.52 28.04 -0.2311
## 287 3 1 5 5 5 12.0 65.12 17.55 65.12 2.4004
## 290 3 1 9 5 9 16.0 75.54 19.41 75.54 0.5735
## 296 3 1 7 5 7 14.5 32.50 79.05 79.05 0.5349
## 297 5 1 5 7 7 14.5 41.27 18.08 41.27 -0.1020
## 299 3 1 9 10 10 16.0 79.74 65.01 79.74 0.7159
## 305 1 1 9 5 9 16.0 68.70 24.68 68.70 0.8086
## 306 3 1 6 6 6 12.0 53.15 56.50 56.50 0.2320
## 307 2 1 8 5 8 16.0 17.00 22.16 22.16 0.2607
## 311 1 1 5 5 5 12.0 31.08 13.87 31.08 1.3033
## 312 2 1 9 8 9 16.0 68.70 62.45 68.70 0.6023
## 315 2 1 7 7 7 14.5 26.64 39.02 39.02 0.7159
## 320 2 1 8 9 9 16.0 57.68 81.05 81.05 0.3344
## 322 2 1 6 8 8 16.0 47.83 16.36 47.83 -0.1177
## 326 2 1 8 7 8 16.0 60.29 11.56 60.29 0.3849
## 327 1 1 5 5 5 12.0 23.57 36.35 36.35 0.2320
## 330 1 1 5 5 5 12.0 19.66 51.01 51.01 -0.6259
## 333 3 1 2 5 5 12.0 19.66 22.77 22.77 0.5166
## 335 2 1 6 5 6 12.0 71.39 22.25 71.39 -0.3792
## 336 1 1 8 9 9 16.0 68.88 11.74 68.88 1.6873
## 338 3 1 9 8 9 16.0 75.50 57.03 75.50 1.3087
## 339 2 1 8 8 8 16.0 70.09 75.13 75.13 0.1891
## 344 2 1 9 5 9 16.0 65.01 18.13 65.01 0.7000
## 345 6 1 8 3 8 16.0 68.88 33.76 68.88 -0.3200
## 353 3 1 9 5 9 16.0 17.00 24.68 24.68 0.2546
## 356 1 1 8 8 8 16.0 68.70 68.70 68.70 0.1276
## 359 4 1 8 7 8 16.0 78.86 59.89 78.86 0.6324
## 361 2 1 8 8 8 16.0 81.13 60.92 81.13 0.1891
## 368 3 1 8 8 8 16.0 70.34 70.34 70.34 0.7427
## 377 1 1 9 9 9 16.0 73.91 75.50 75.50 0.7600
## 378 3 1 8 6 8 16.0 52.72 27.91 52.72 0.9217
## 383 3 0 8 8 8 16.0 75.25 63.31 75.25 -0.1700
## 384 2 0 8 10 10 16.0 68.70 88.70 88.70 0.8511
## 385 3 1 8 9 9 16.0 65.01 30.78 65.01 0.4484
## 386 3 1 9 10 10 16.0 86.72 85.41 86.72 1.4800
## 389 4 1 6 5 6 12.0 47.83 21.96 47.83 -0.6000
## 390 5 0 9 9 9 16.0 75.43 86.72 86.72 1.2125
## 392 3 1 8 9 9 16.0 66.42 86.72 86.72 2.5618
## 400 2 1 9 8 9 16.0 68.70 50.90 68.70 -1.4050
## 403 1 1 10 7 10 16.0 70.50 75.50 75.50 1.4800
## 404 2 1 9 8 9 16.0 44.92 59.89 59.89 0.3909
## 409 1 1 7 5 7 14.5 32.67 17.69 32.67 0.6349
## 411 3 0 8 8 8 16.0 88.31 51.56 88.31 -0.4301
## 412 3 0 8 8 8 16.0 77.88 62.45 77.88 1.1343
## 416 4 1 9 9 9 16.0 15.35 36.35 36.35 0.4787
## 420 2 1 9 9 9 16.0 73.38 73.38 73.38 1.0281
## 421 3 1 5 5 5 12.0 17.55 35.34 35.34 0.0463
## 425 1 1 5 5 5 12.0 43.85 25.95 43.85 -0.4438
## 426 2 1 8 8 8 16.0 27.25 40.54 40.54 1.4583
## 427 2 0 7 5 7 14.5 76.65 11.74 76.65 -0.0073
## 432 1 1 9 7 9 16.0 68.55 50.15 68.55 0.5166
## 433 2 1 5 5 5 12.0 53.15 65.12 65.12 0.7387
## 435 4 1 3 8 8 16.0 17.00 36.92 36.92 0.2801
## 436 2 0 10 9 10 16.0 84.14 62.39 84.14 -0.1590
## 439 3 1 8 6 8 16.0 57.64 39.45 57.64 0.8768
## 440 2 1 5 5 5 12.0 59.76 46.73 59.76 -0.4746
## 441 3 1 8 5 8 16.0 68.70 21.96 68.70 0.1816
## 448 1 1 3 2 3 9.0 25.04 22.77 25.04 1.0100
## 452 2 1 9 7 9 16.0 57.04 36.92 57.04 0.1403
## 457 3 1 8 5 8 16.0 23.80 55.25 55.25 -0.1622
## 463 2 1 10 10 10 16.0 68.70 65.12 68.70 1.4326
## 467 2 1 9 7 9 16.0 65.01 21.82 65.01 -0.2873
## 473 3 1 8 6 8 16.0 82.41 25.95 82.41 0.7159
## 478 3 1 10 5 10 16.0 65.42 15.35 65.42 -0.7123
## 481 2 1 9 6 9 16.0 21.64 60.92 60.92 -0.6205
## 485 3 0 5 5 5 12.0 73.38 65.12 73.38 -0.3109
## 487 4 0 6 9 9 16.0 31.08 59.35 59.35 1.0303
## 489 2 1 9 9 9 16.0 70.89 65.12 70.89 -0.1742
## 491 2 1 10 9 10 16.0 68.70 30.78 68.70 0.7213
## 493 3 1 5 5 5 12.0 17.00 28.12 28.12 -0.0136
## 496 2 1 5 7 7 14.5 56.57 51.50 56.57 -0.1020
## 504 1 1 2 3 3 9.0 33.76 27.81 33.76 -1.7465
## 506 1 1 6 6 6 12.0 35.34 71.39 71.39 -1.4484
## 510 2 1 1 5 5 12.0 16.80 79.49 79.49 0.3507
## 511 3 1 5 3 5 12.0 16.80 23.41 23.41 0.2320
## 512 2 1 8 9 9 16.0 59.76 79.05 79.05 0.4946
## 520 2 0 8 10 10 16.0 31.08 43.85 43.85 -0.5252
## 522 2 1 10 5 10 16.0 68.70 24.49 68.70 -1.8420
## 527 3 1 9 10 10 16.0 67.94 81.92 81.92 0.2292
## 529 1 1 6 5 6 12.0 68.70 61.82 68.70 0.6600
## 532 3 1 8 8 8 16.0 73.91 75.25 75.25 0.6731
## 533 2 1 3 3 3 9.0 71.39 17.53 71.39 0.8053
## 536 2 1 2 5 5 12.0 30.90 24.53 30.90 -0.1622
## 537 2 1 6 2 6 12.0 71.39 59.89 71.39 0.5092
## 545 2 1 9 3 9 16.0 68.70 27.81 68.70 0.3461
## 546 2 1 9 9 9 16.0 26.64 82.41 82.41 -0.3588
## 547 1 1 9 3 9 16.0 76.49 47.74 76.49 0.5349
## 548 2 0 8 5 8 16.0 52.72 30.78 52.72 -0.4745
## 549 3 1 5 5 5 12.0 17.00 19.66 19.66 -0.0073
## 550 3 1 8 7 8 16.0 43.85 28.52 43.85 0.3311
## 552 2 1 9 5 9 16.0 76.49 25.95 76.49 1.0285
## 563 3 1 8 8 8 16.0 81.92 86.72 86.72 1.9113
## 566 3 1 9 10 10 16.0 54.55 81.92 81.92 0.5035
## 570 2 1 8 8 8 16.0 68.70 28.48 68.70 -0.6055
## 572 3 1 9 5 9 16.0 58.77 79.49 79.49 0.4484
## 580 3 0 8 9 9 16.0 76.49 79.05 79.05 0.8245
## 584 1 1 8 8 8 16.0 17.00 25.95 25.95 0.2419
## 585 2 1 10 9 10 16.0 85.85 65.01 85.85 1.4650
## 602 2 1 9 6 9 16.0 26.64 27.91 27.91 -1.5237
## 604 3 1 5 3 5 12.0 16.38 22.75 22.75 0.1830
## 605 2 1 8 9 9 16.0 72.83 26.62 72.83 -0.3200
## 608 4 1 9 9 9 16.0 66.42 85.41 85.41 0.5500
## 612 2 1 10 8 10 16.0 67.94 81.40 81.40 -0.5191
## 614 4 0 9 8 9 16.0 81.13 65.01 81.13 1.5375
## 617 2 1 5 5 5 12.0 25.04 39.02 39.02 -0.6259
## 620 1 0 5 8 8 16.0 27.52 48.13 48.13 1.1343
## 627 4 1 8 8 8 16.0 56.00 73.71 73.71 2.7770
## 630 2 1 9 8 9 16.0 54.55 76.65 76.65 1.3869
## 632 3 0 8 8 8 16.0 62.39 51.25 62.39 1.0849
## 634 2 0 5 5 5 12.0 51.56 70.34 70.34 0.3085
## 635 2 0 8 9 9 16.0 68.88 71.55 71.55 -0.3302
## 641 3 1 10 8 10 16.0 68.70 65.01 68.70 -0.1320
## 644 1 1 8 6 8 16.0 24.79 31.72 31.72 -1.3073
## 647 1 1 5 3 5 12.0 71.39 15.35 71.39 0.5029
## 648 2 1 9 8 9 16.0 68.70 57.03 68.70 0.9135
## 659 4 1 7 7 7 14.5 71.39 71.39 71.39 0.5327
## 660 4 1 8 9 9 16.0 57.64 72.83 72.83 0.2320
## 661 3 1 9 5 9 16.0 75.54 70.50 75.54 1.3547
## 662 4 1 3 3 3 9.0 24.53 15.35 24.53 0.7863
## 665 3 0 8 9 9 16.0 68.55 58.07 68.55 0.6816
## 669 3 1 8 6 8 16.0 68.70 25.26 68.70 -0.7654
## 672 1 1 10 5 10 16.0 68.70 20.95 68.70 0.9686
## 673 4 1 10 6 10 16.0 68.70 44.92 68.70 0.1891
## 674 2 1 8 8 8 16.0 76.65 43.85 76.65 -0.1622
## 675 3 1 5 5 5 12.0 56.00 27.91 56.00 -0.1527
## 676 2 0 5 2 5 12.0 59.76 28.97 59.76 -0.1020
## 688 2 1 5 8 8 16.0 25.04 35.34 35.34 0.7159
## 689 2 1 5 5 5 12.0 51.01 20.95 51.01 0.2412
## 692 3 0 8 8 8 16.0 62.39 57.03 62.39 0.8511
## 693 2 1 2 5 5 12.0 14.21 21.96 21.96 1.0229
## 695 2 0 1 2 2 6.0 11.74 17.53 17.53 -1.6413
## 696 2 1 8 10 10 16.0 70.09 68.70 70.09 0.2325
## 699 2 0 9 5 9 16.0 74.66 78.69 78.69 0.7159
## 703 3 0 9 9 9 16.0 60.29 62.39 62.39 1.1343
## 704 2 1 8 6 8 16.0 52.72 62.39 62.39 -0.9079
## 706 3 1 10 10 10 16.0 44.92 28.52 44.92 1.4757
## 708 2 1 5 1 5 12.0 71.39 15.35 71.39 -0.3200
## 709 2 1 9 9 9 16.0 65.23 70.09 70.09 1.0020
## 714 2 1 9 10 10 16.0 68.88 79.05 79.05 0.4042
## 715 2 1 10 9 10 16.0 65.23 82.41 82.41 -0.1177
## 717 2 1 7 8 8 16.0 68.70 27.52 68.70 -0.6510
## 719 2 1 3 3 3 9.0 25.04 15.35 25.04 -0.8321
## 721 1 1 10 10 10 16.0 57.64 33.76 57.64 2.4008
## 722 2 1 8 5 8 16.0 70.50 14.57 70.50 -0.3588
## 724 3 1 8 7 8 16.0 39.02 71.29 71.29 -0.0877
## 725 3 1 9 8 9 16.0 80.46 74.66 80.46 0.1106
## 726 2 1 8 8 8 16.0 70.89 79.31 79.31 2.1042
## 730 1 0 8 5 8 16.0 17.00 36.92 36.92 1.5532
## 731 1 1 3 5 5 12.0 17.55 22.77 22.77 0.4207
## 733 3 1 9 8 9 16.0 71.39 21.96 71.39 1.5532
## 739 4 1 8 9 9 16.0 70.34 73.38 73.38 0.7159
## 743 2 1 5 5 5 12.0 24.98 70.50 70.50 -0.2027
## 744 2 0 5 10 10 16.0 26.64 68.70 68.70 1.0738
## 747 2 1 6 5 6 12.0 31.08 30.78 31.08 0.2473
## 753 1 1 7 3 7 14.5 25.95 30.78 30.78 0.0135
## 761 4 1 5 5 5 12.0 62.39 51.56 62.39 1.7774
## 766 1 0 7 3 7 14.5 59.45 65.42 65.42 0.0811
## 767 2 1 5 5 5 12.0 51.56 62.45 62.45 0.0400
## 771 2 1 9 3 9 16.0 57.00 17.00 57.00 -0.6172
## 772 1 1 10 9 10 16.0 65.01 46.38 65.01 0.7159
## 775 1 1 2 9 9 16.0 11.56 25.95 25.95 -0.1622
## 777 2 1 10 5 10 16.0 31.08 17.55 31.08 -1.0164
## 780 3 1 10 8 10 16.0 77.88 71.39 77.88 0.4484
## 781 2 1 8 8 8 16.0 25.20 16.36 25.20 -1.0153
## 782 2 1 8 9 9 16.0 42.30 73.38 73.38 0.4042
## 784 2 1 7 8 8 16.0 62.39 81.40 81.40 0.7500
## 785 4 1 8 8 8 16.0 44.94 65.12 65.12 0.7641
## 786 2 1 7 9 9 16.0 62.39 62.45 62.45 1.6565
## 788 3 1 3 3 3 9.0 31.08 62.39 62.39 1.7404
## 791 2 1 7 6 7 14.5 61.57 12.87 61.57 -0.5891
## 796 2 1 8 6 8 16.0 53.15 19.78 53.15 1.2039
## 798 3 1 8 8 8 16.0 66.42 63.31 66.42 1.6000
## 807 2 1 8 9 9 16.0 57.99 73.91 73.91 2.0240
## 810 1 1 6 5 6 12.0 17.00 78.86 78.86 1.6440
## 811 1 1 8 8 8 16.0 70.89 21.82 70.89 0.1891
## 813 3 1 7 7 7 14.5 27.52 76.65 76.65 -0.1320
## 815 2 1 7 6 7 14.5 68.70 36.35 68.70 0.7159
## 816 3 1 10 9 10 16.0 81.92 82.41 82.41 1.7786
## 818 1 1 5 2 5 12.0 52.72 22.57 52.72 0.4484
## 826 2 1 10 9 10 16.0 76.49 25.95 76.49 0.6259
## 829 2 1 7 7 7 14.5 31.08 59.89 59.89 0.8785
## 830 1 1 8 10 10 16.0 62.39 74.66 74.66 1.7078
## 834 3 1 10 8 10 16.0 81.92 59.89 81.92 1.1343
## 836 2 1 8 7 8 16.0 66.42 70.34 70.34 0.0100
## 840 1 1 5 5 5 12.0 13.24 20.91 20.91 0.8086
## 843 3 0 5 9 9 16.0 16.50 82.41 82.41 0.8511
## 846 3 0 9 9 9 16.0 79.74 74.66 79.74 0.2608
## 850 1 1 10 5 10 16.0 68.70 59.89 68.70 0.1693
## 852 1 1 8 10 10 16.0 60.29 27.81 60.29 -0.1122
## 853 1 1 1 5 5 12.0 16.38 30.78 30.78 -0.4924
## 862 2 1 7 5 7 14.5 76.65 57.68 76.65 0.8511
## 863 4 1 8 8 8 16.0 51.01 53.15 53.15 0.1428
## 864 2 1 7 5 7 14.5 53.15 25.06 53.15 0.7272
## 865 1 1 8 3 8 16.0 68.55 52.70 68.55 0.5869
## 874 4 1 9 8 9 16.0 76.49 58.07 76.49 -0.2500
## 876 3 1 6 10 10 16.0 57.99 53.15 57.00 1.4837
## 879 2 1 9 8 9 16.0 78.86 72.83 78.86 0.2320
## 881 3 1 8 8 8 16.0 11.56 16.34 16.34 0.4287
## 891 2 1 8 5 8 16.0 73.38 11.01 73.38 1.1370
## 892 2 1 8 5 8 16.0 68.70 36.35 68.70 1.2777
## 894 1 1 9 8 9 16.0 68.70 51.50 68.70 1.0020
## 896 3 1 10 10 10 16.0 75.13 74.66 75.13 0.4562
## 900 3 1 8 8 8 16.0 82.41 51.50 82.41 0.6800
## 908 2 1 8 7 8 16.0 75.54 62.39 75.54 0.2320
## 910 1 0 9 9 9 16.0 71.39 51.50 71.39 2.3526
## 911 3 1 9 5 9 16.0 82.41 27.91 82.41 -1.0502
## 913 2 1 8 9 9 16.0 74.66 74.66 74.66 0.2292
## 918 1 1 6 5 6 12.0 17.69 24.53 24.53 -0.3003
## 922 3 0 5 6 6 12.0 65.01 62.45 65.01 1.3547
## 923 1 1 5 5 5 12.0 44.14 29.16 44.14 -0.5191
## 927 1 1 1 1 1 3.0 31.08 33.76 33.76 -0.3003
## 932 0 1 5 6 6 12.0 24.98 30.78 30.78 0.4888
## 936 2 1 5 8 8 16.0 51.56 81.40 81.40 2.1571
## 937 2 1 9 9 9 16.0 65.01 82.41 82.41 -0.0605
## 940 3 1 5 5 5 12.0 43.85 27.91 43.85 -0.3850
## 948 2 0 5 6 6 12.0 39.02 24.85 39.02 -0.1083
## 949 2 1 5 1 5 12.0 16.50 25.26 25.26 0.5800
## 954 3 0 10 10 10 16.0 81.13 81.13 81.13 -0.1496
## 960 1 1 5 5 5 12.0 57.99 26.62 57.00 -0.3588
## 962 2 1 5 7 7 14.5 17.00 68.70 68.70 -0.6717
## 963 2 1 9 5 9 16.0 68.70 65.12 68.70 -0.1622
## 966 2 1 9 9 9 16.0 70.50 70.57 70.57 -0.8700
## 967 3 1 10 10 10 16.0 68.70 24.53 68.70 -1.1667
## 968 3 1 5 5 5 12.0 32.50 58.07 58.07 -0.1020
## 973 2 1 5 5 5 12.0 26.85 26.85 26.85 0.5153
## 974 2 1 3 3 3 9.0 31.08 27.81 31.08 1.0804
## 982 3 1 8 2 8 16.0 28.48 28.48 28.48 -1.0112
## 983 2 1 7 3 7 14.5 41.27 22.57 41.27 0.1891
## 987 2 1 6 7 7 14.5 17.00 65.01 65.01 0.0463
## 991 5 1 8 8 8 16.0 57.64 74.79 74.79 0.4207
## 995 2 1 5 5 5 12.0 16.38 22.77 22.77 0.1891
## 1001 2 1 3 3 3 9.0 16.38 25.94 25.94 -0.6000
## 1002 4 1 9 9 9 16.0 73.38 70.34 73.38 0.3344
## 1007 3 0 9 9 9 16.0 82.41 82.41 82.41 0.5666
## 1008 3 1 5 7 7 14.5 26.85 24.49 26.85 1.3413
## 1010 3 1 5 5 5 12.0 31.08 17.00 31.08 0.7912
## 1013 1 1 1 5 5 12.0 17.00 17.00 17.00 0.1939
## 1020 1 1 5 3 5 12.0 51.56 15.35 51.56 -0.2812
## 1021 2 0 10 8 10 16.0 82.41 71.55 82.41 -0.4646
## 1022 2 1 7 3 7 14.5 11.56 11.56 11.56 0.1891
## 1024 3 1 5 5 5 12.0 24.98 43.85 43.85 -0.6000
## 1027 3 1 10 9 10 16.0 78.86 41.27 78.86 -1.0792
## 1028 2 1 7 8 8 16.0 25.04 17.69 25.04 0.7653
## 1029 2 1 8 7 8 16.0 57.99 63.03 63.03 0.1403
## 1031 3 1 8 8 8 16.0 76.49 28.48 76.49 1.1500
## 1034 1 0 8 8 8 16.0 65.01 19.66 65.01 0.4946
## 1035 2 1 10 5 10 16.0 57.00 22.75 57.00 0.2619
## 1038 2 1 6 6 6 12.0 43.33 16.36 43.33 0.6887
## 1039 1 1 9 5 9 16.0 68.70 17.55 68.70 0.8105
## 1041 2 1 7 6 7 14.5 26.64 20.91 26.64 1.1605
## 1042 1 1 9 9 9 16.0 76.49 75.50 76.49 0.4222
## 1047 5 1 8 9 9 16.0 76.65 62.39 76.65 0.7374
## 1048 1 1 3 3 3 9.0 17.00 20.91 20.91 -0.8787
## 1052 2 1 5 9 9 16.0 17.00 53.77 53.77 -0.0073
## 1057 2 1 5 9 9 16.0 39.02 19.83 39.02 -0.4762
## 1061 2 1 8 8 8 16.0 76.49 63.31 76.49 0.8511
## 1065 1 1 3 3 3 9.0 56.00 33.76 56.00 0.2596
## 1070 2 1 2 2 2 6.0 14.64 11.56 14.64 -1.1374
## 1074 1 1 5 8 8 16.0 43.85 78.86 78.86 -1.1739
## 1080 1 1 9 8 9 16.0 58.07 59.89 59.89 -0.0877
## 1082 1 1 7 8 8 16.0 44.94 25.26 44.94 -0.1622
## 1084 2 1 5 5 5 12.0 17.00 52.72 52.72 1.6041
## 1091 2 1 8 5 8 16.0 70.89 73.91 73.91 0.2300
## 1095 3 1 9 9 9 16.0 68.70 82.41 82.41 0.1428
## 1100 2 1 6 5 6 12.0 81.13 20.91 81.13 1.1315
## 1109 3 1 9 8 9 16.0 85.85 57.68 85.85 1.0924
## 1112 5 1 5 5 5 12.0 58.07 68.55 68.55 0.4664
## 1116 2 0 3 7 7 14.5 17.00 70.34 70.34 0.4706
## 1125 3 1 8 8 8 16.0 73.38 60.29 73.38 -0.7017
## 1128 1 1 9 6 9 16.0 76.49 80.46 80.46 0.8006
## 1130 3 1 10 8 10 16.0 52.72 33.76 52.72 3.7685
## 1131 1 1 9 5 9 16.0 54.27 17.55 54.27 1.2777
## 1135 1 1 5 6 6 12.0 56.35 59.89 59.89 0.7159
## 1136 0 1 5 3 5 12.0 59.76 21.82 59.76 0.7150
## 1139 2 1 5 5 5 12.0 67.11 65.12 67.11 0.4668
## 1144 2 1 5 5 5 12.0 50.90 28.52 50.90 -0.1020
## 1145 1 0 5 5 5 12.0 68.70 60.44 68.70 0.5166
## 1146 2 1 3 6 6 12.0 32.20 59.89 59.89 -0.3200
## 1149 2 1 9 9 9 16.0 82.41 17.00 82.41 0.9159
## 1150 1 1 5 9 9 16.0 54.55 77.10 77.10 -0.3588
## 1152 3 1 9 9 9 16.0 70.34 65.01 70.34 0.1724
## 1154 3 0 9 8 9 16.0 44.94 56.64 56.64 1.4904
## 1160 1 1 1 3 3 9.0 16.38 77.10 77.10 0.8777
## 1161 2 1 10 6 10 16.0 68.70 25.95 68.70 0.0229
## 1162 2 1 8 10 10 16.0 17.00 81.92 81.92 0.2893
## 1166 3 1 9 9 9 16.0 82.41 78.86 82.41 1.1346
## 1167 4 0 8 5 8 16.0 65.12 74.66 74.66 -1.2016
## 1169 2 1 9 9 9 16.0 62.39 59.89 62.39 0.3924
## 1170 2 0 8 8 8 16.0 38.58 17.69 38.58 0.1588
## 1174 2 1 6 5 6 12.0 31.46 26.85 31.46 -0.2735
## 1179 2 1 7 8 8 16.0 29.32 53.15 53.15 -1.3015
## 1180 1 1 9 5 9 16.0 65.01 53.77 65.01 0.5869
## 1182 1 1 8 8 8 16.0 70.34 62.39 70.34 -0.6000
## 1185 2 1 9 3 9 16.0 56.00 17.00 56.00 -2.0250
## 1186 3 1 9 8 9 16.0 24.53 28.52 28.52 0.5224
## 1187 3 1 3 3 3 9.0 21.82 15.35 21.82 -0.0574
## 1193 5 1 9 9 9 16.0 75.43 71.55 75.43 0.2607
## 1198 4 0 8 9 9 16.0 79.74 78.86 79.74 2.1200
## 1199 3 1 8 5 8 16.0 88.70 43.85 88.70 0.6731
## 1202 3 1 8 5 8 16.0 76.49 24.80 76.49 0.2181
## 1204 2 1 10 10 10 16.0 88.70 65.12 88.70 1.9113
## 1206 2 1 2 2 2 6.0 16.50 25.95 25.95 -0.9103
## 1208 2 1 8 8 8 16.0 49.30 58.07 58.07 0.2028
## 1209 6 1 9 9 9 16.0 58.77 79.74 79.74 0.5500
## 1211 1 1 1 3 3 9.0 14.64 22.16 22.16 -0.6510
## 1212 2 0 8 10 10 16.0 70.40 88.31 88.31 0.3909
## 1221 3 1 9 9 9 16.0 52.72 57.97 57.97 1.1000
## 1222 3 0 7 7 7 14.5 14.21 15.35 15.35 -0.8091
## 1223 4 1 8 8 8 16.0 71.39 51.01 71.39 1.3540
## 1224 1 1 5 5 5 12.0 25.06 30.32 30.32 0.2473
## 1227 1 1 8 9 9 16.0 44.94 79.05 79.05 -0.1020
## 1228 3 1 8 10 10 16.0 62.13 88.31 88.31 -0.1303
## 1229 3 1 9 3 9 16.0 70.34 17.00 70.34 0.3535
## 1231 2 1 2 2 2 6.0 17.55 18.08 18.08 -0.1020
## 1235 1 0 9 6 9 16.0 68.55 27.91 68.55 1.6041
## 1236 1 0 9 6 9 16.0 58.77 74.66 74.66 0.3791
## 1242 2 1 5 5 5 12.0 57.68 58.07 58.07 0.4668
## 1243 2 0 10 9 10 16.0 81.13 30.78 81.13 0.5500
## 1244 2 1 6 6 6 12.0 24.98 77.88 77.88 0.8356
## 1245 3 1 9 9 9 16.0 46.76 25.95 46.76 1.5788
## 1246 4 0 5 3 5 12.0 17.00 58.07 58.07 -0.3003
## 1248 2 0 6 6 6 12.0 23.57 25.51 25.51 -0.3200
## 1249 3 1 8 5 8 16.0 48.10 15.35 48.10 0.0276
## 1253 2 1 5 9 9 16.0 39.02 70.50 70.50 0.5349
## 1258 2 0 5 5 5 12.0 54.55 22.77 54.55 0.4484
## 1260 2 0 6 7 7 14.5 17.00 33.66 33.66 -0.3588
## 1261 2 1 7 5 7 14.5 70.89 71.39 71.39 0.8000
## 1264 3 1 9 9 9 16.0 79.74 70.34 79.74 1.3087
## 1269 2 1 3 8 8 16.0 31.08 51.56 51.56 0.5166
## 1273 3 1 9 9 9 16.0 68.54 65.01 68.54 -0.0877
## 1274 2 1 8 6 8 16.0 53.15 75.43 75.43 0.7159
## 1278 3 0 9 9 9 16.0 65.01 59.89 65.01 0.3371
## 1279 3 1 9 5 9 16.0 53.15 30.78 53.15 0.2028
## 1283 1 1 3 1 3 9.0 25.04 23.63 25.04 0.2412
## 1284 3 1 8 6 8 16.0 26.64 30.78 30.78 0.7900
## 1285 2 1 8 9 9 16.0 76.49 69.24 76.49 -0.1496
## 1286 3 1 7 6 7 14.5 68.88 57.25 68.88 0.1637
## 1295 3 1 5 5 5 12.0 30.90 25.94 30.90 1.4326
## 1299 2 1 3 5 5 12.0 11.74 11.74 11.74 -0.3003
## 1307 1 1 10 10 10 16.0 26.85 30.78 30.78 -1.2660
## 1308 1 1 9 5 9 16.0 58.07 65.01 65.01 -0.3200
## 1311 3 1 7 6 7 14.5 16.50 27.91 27.91 -1.1474
## 1313 1 1 5 5 5 12.0 25.04 26.62 26.62 -0.3003
## 1319 2 1 2 3 3 9.0 16.50 43.85 43.85 -0.1083
## 1320 1 1 8 8 8 16.0 21.64 17.00 21.64 0.6800
## 1322 3 1 9 9 9 16.0 75.54 57.68 75.54 -0.0574
## 1323 3 1 9 8 9 16.0 70.89 78.86 78.86 -0.3201
## 1328 3 1 5 5 5 12.0 47.83 27.91 47.83 0.6709
## 1329 3 1 6 3 6 12.0 27.52 24.53 27.52 -0.4482
## 1338 2 1 7 6 7 14.5 51.56 17.69 51.56 -0.2535
## 1341 2 0 5 5 5 12.0 57.00 86.72 86.72 -1.1000
## 1343 3 1 8 7 8 16.0 68.70 30.78 68.70 0.5224
## 1344 2 1 7 8 8 16.0 39.02 24.09 39.02 -0.6709
## 1354 2 0 8 10 10 16.0 65.01 85.41 85.41 0.5349
## 1355 2 0 5 5 5 12.0 39.02 30.78 39.02 0.6600
## 1357 4 0 5 5 5 12.0 86.72 75.13 86.72 1.3721
## 1359 2 1 5 5 5 12.0 58.07 53.77 58.07 -0.6094
## 1364 3 1 8 9 9 16.0 70.89 68.88 70.89 0.6792
## 1366 3 1 5 5 5 12.0 39.02 22.77 39.02 -1.7926
## 1371 1 1 8 8 8 16.0 51.50 51.50 51.50 0.8771
## 1375 2 1 5 3 5 12.0 21.64 26.62 26.62 0.4600
## 1377 1 1 8 8 8 16.0 70.34 73.91 73.91 0.4803
## 1378 3 1 5 8 8 16.0 24.15 70.89 70.89 0.7600
## 1380 2 1 3 3 3 9.0 16.38 88.96 88.96 -0.6259
## 1381 2 1 7 8 8 16.0 17.00 70.34 70.34 0.2473
## 1383 3 1 8 8 8 16.0 79.74 70.34 79.74 0.4484
## 1385 2 1 7 7 7 14.5 54.55 55.03 55.03 1.1605
## 1392 2 1 9 9 9 16.0 68.70 46.38 68.70 0.8511
## 1393 2 1 8 8 8 16.0 79.74 78.86 79.74 1.4786
## 1395 2 1 8 10 10 16.0 57.04 61.91 61.91 -0.4073
## 1397 3 0 9 7 9 16.0 75.54 72.24 75.54 0.2320
## 1404 2 1 6 7 7 14.5 31.08 76.65 76.65 0.5253
## 1405 1 0 2 3 3 9.0 16.38 24.53 24.53 1.0351
## 1407 3 1 9 10 10 16.0 68.70 81.92 81.92 0.1891
## 1408 1 1 10 5 10 16.0 58.77 27.91 58.77 -0.6205
## 1411 2 1 5 5 5 12.0 39.02 62.39 62.39 0.5800
## 1415 2 1 8 9 9 16.0 17.00 65.01 65.01 0.8511
## 1417 5 1 8 8 8 16.0 68.70 78.86 78.86 0.6300
## 1420 1 1 8 9 9 16.0 49.30 58.07 58.07 1.3168
## 1422 4 1 8 7 8 16.0 57.37 30.78 57.37 0.3311
## 1424 3 1 3 6 6 12.0 33.76 19.78 33.76 0.7641
## 1427 3 1 8 8 8 16.0 51.56 58.07 58.07 0.0069
## 1429 1 1 2 5 5 12.0 14.21 59.89 59.89 -0.3003
## 1437 1 1 9 8 9 16.0 70.89 26.62 70.89 0.0100
## 1438 1 1 5 5 5 12.0 29.18 51.50 51.50 -0.6510
## 1440 3 0 9 10 10 16.0 75.43 73.91 75.43 1.1700
## 1442 2 1 10 10 10 16.0 68.88 82.41 82.41 0.7159
## 1443 2 1 8 9 9 16.0 88.31 74.66 88.31 0.7600
## 1445 1 1 8 5 8 16.0 24.98 35.34 35.34 -0.0877
## 1447 3 1 9 8 9 16.0 73.38 58.07 73.38 3.0882
## 1448 4 1 5 3 5 12.0 17.00 14.39 17.00 0.2804
## 1449 2 1 10 10 10 16.0 82.41 65.12 82.41 1.0462
## 1450 1 1 8 8 8 16.0 78.76 46.38 78.76 -0.4301
## 1451 5 1 8 6 8 16.0 42.30 14.57 42.30 1.0285
## 1452 1 1 9 8 9 16.0 21.64 25.95 25.95 1.5612
## 1458 2 1 8 5 8 16.0 65.01 51.50 65.01 0.8086
## 1459 1 0 6 5 6 12.0 81.13 50.15 81.13 -0.0861
## 1460 4 1 8 7 8 16.0 71.39 17.53 71.39 1.6393
## 1461 3 1 9 9 9 16.0 67.94 53.15 67.94 0.5291
## 1467 4 1 6 10 10 16.0 31.08 68.70 68.70 -0.3003
## 1470 2 0 9 8 9 16.0 68.70 21.82 68.70 -0.0882
## 1474 3 1 8 8 8 16.0 60.29 86.72 86.72 0.7159
## 1478 2 0 7 3 7 14.5 31.08 50.15 50.15 1.5936
## 1479 2 1 9 8 9 16.0 86.72 74.66 86.72 1.7227
## 1481 2 0 3 3 3 9.0 17.00 22.16 22.16 -0.8488
## 1484 2 1 5 9 9 16.0 25.04 77.10 77.10 0.1891
## 1485 3 1 5 5 5 12.0 54.55 16.36 54.55 0.5869
## 1486 2 0 8 8 8 16.0 88.70 76.65 88.70 1.6274
## 1488 3 1 5 5 5 12.0 17.00 23.80 23.80 -0.3527
## 1497 2 0 9 9 9 16.0 68.70 79.05 79.05 1.4326
## 1505 3 0 5 5 5 12.0 70.34 50.15 70.34 0.3568
## 1511 3 1 6 6 6 12.0 27.52 26.62 27.52 -0.0548
## 1514 2 1 7 6 7 14.5 62.13 71.39 71.39 -0.2067
## 1515 1 1 9 8 9 16.0 72.24 16.36 72.24 0.5224
## 1517 1 1 8 8 8 16.0 76.65 17.56 76.65 0.5349
## 1518 2 1 8 9 9 16.0 55.25 81.92 81.92 0.7374
## 1519 3 1 10 10 10 16.0 70.89 51.50 70.89 -0.0548
## 1522 1 1 8 8 8 16.0 65.01 59.89 65.01 0.6543
## 1523 1 1 5 5 5 12.0 21.64 28.52 28.52 0.4610
## 1524 2 1 8 8 8 16.0 70.50 29.16 70.50 0.1891
## 1527 2 1 9 9 9 16.0 76.49 82.41 82.41 1.7867
## 1531 2 1 8 2 8 16.0 32.20 24.45 32.20 0.3311
## 1532 1 1 1 2 2 6.0 17.69 11.74 17.69 -0.7849
## 1533 1 1 9 6 9 16.0 68.88 53.77 68.88 0.4042
## 1534 1 0 8 7 8 16.0 68.88 25.26 68.88 -0.3302
## 1540 1 0 5 5 5 12.0 48.10 82.31 82.31 0.2028
## 1541 2 0 9 9 9 16.0 68.70 53.77 68.70 1.5532
## 1543 2 1 3 2 3 9.0 24.53 27.91 27.91 0.1891
## 1549 3 1 9 9 9 16.0 75.43 59.89 75.43 1.7404
## 1550 2 1 9 9 9 16.0 55.25 79.74 79.74 0.0100
## 1558 2 1 5 5 5 12.0 51.56 51.56 51.56 -1.1800
## 1565 1 1 7 5 7 14.5 26.85 17.56 26.85 -0.0674
## 1573 2 0 8 8 8 16.0 28.48 70.34 70.34 -0.6205
## 1576 4 1 5 5 5 12.0 50.15 18.08 50.15 -1.0068
## 1582 4 1 9 9 9 16.0 75.43 75.54 75.54 0.7159
## 1586 2 1 5 5 5 12.0 28.48 73.38 73.38 -0.3003
## 1588 5 1 5 9 9 16.0 60.29 65.01 65.01 1.7918
## 1591 4 0 8 6 8 16.0 76.65 43.85 76.65 0.7430
## 1592 1 1 7 9 9 16.0 68.88 50.15 68.88 0.5567
## 1593 3 1 8 6 8 16.0 68.70 20.35 68.70 0.6887
## 1602 1 1 9 9 9 16.0 68.70 76.65 76.65 1.7132
## 1605 2 1 6 3 6 12.0 16.36 33.76 33.76 0.0225
## 1608 4 1 9 6 9 16.0 88.31 11.74 88.31 1.5107
## 1611 3 0 6 5 6 12.0 31.08 75.13 75.13 -0.6046
## 1612 4 0 9 6 9 16.0 66.42 36.35 66.42 0.2320
## 1618 3 1 7 8 8 16.0 70.89 67.94 70.89 -0.8430
## 1619 3 1 3 2 3 9.0 16.38 21.96 21.96 -0.2812
## 1623 2 1 8 8 8 16.0 73.91 17.00 73.91 0.5500
## 1627 2 1 9 9 9 16.0 68.70 13.35 68.70 -0.6094
## 1628 3 1 5 5 5 12.0 65.01 60.92 65.01 0.8486
## 1630 4 1 5 5 5 12.0 28.48 37.83 37.83 0.2900
## 1632 2 1 8 6 8 16.0 50.37 30.47 50.37 -0.8089
## 1636 6 1 9 9 9 16.0 57.00 73.38 73.38 1.2039
## 1641 2 1 5 5 5 12.0 28.97 28.97 28.97 0.1100
## 1650 2 1 10 5 10 16.0 76.98 23.80 76.98 -0.6458
## 1655 3 0 5 5 5 12.0 17.00 17.56 17.56 -0.6259
## 1658 2 1 5 5 5 12.0 16.50 26.62 26.62 -1.2267
## 1659 3 1 3 3 3 9.0 65.01 33.76 65.01 -1.0843
## 1664 2 1 8 10 10 16.0 17.00 66.42 66.42 -0.0371
## 1666 3 1 5 5 5 12.0 17.00 88.70 88.70 -0.3200
## 1668 4 1 8 8 8 16.0 58.77 62.39 62.39 -0.8091
## 1671 2 1 5 8 8 16.0 30.90 81.40 81.40 0.8220
## 1673 1 0 8 8 8 16.0 29.47 35.34 35.34 0.5500
## 1674 2 1 9 9 9 16.0 57.04 62.45 62.45 3.0367
## 1677 1 1 3 8 8 16.0 17.53 71.55 71.55 -0.0343
## 1680 2 1 8 6 8 16.0 68.70 36.35 68.70 0.8356
## 1681 5 1 10 5 10 16.0 25.20 14.21 25.20 -0.0073
## 1684 2 1 9 10 10 16.0 65.12 78.86 78.86 1.1605
## 1686 1 1 6 5 6 12.0 31.08 51.63 51.63 -0.3588
## 1689 3 1 8 9 9 16.0 43.85 74.66 74.66 -0.3200
## 1690 1 1 1 1 1 3.0 17.00 11.74 17.00 -0.3839
## 1698 2 0 8 10 10 16.0 62.39 85.41 85.41 0.7430
## 1699 1 1 8 7 8 16.0 56.64 33.76 56.64 0.8511
## 1702 4 1 5 3 5 12.0 26.64 36.92 36.92 -0.3003
## 1704 3 1 6 8 8 16.0 66.42 74.66 74.66 1.1605
## 1706 2 0 9 9 9 16.0 76.49 14.57 76.49 0.7688
## 1711 1 0 9 7 9 16.0 74.79 80.78 80.78 1.4700
## 1713 1 1 8 8 8 16.0 54.86 20.91 54.86 0.8725
## 1715 2 1 10 9 10 16.0 75.54 62.39 75.54 -0.5829
## 1718 3 1 8 9 9 16.0 76.49 81.40 81.40 -0.3200
## 1720 1 1 9 8 9 16.0 86.72 57.03 86.72 0.6453
## 1723 2 0 8 9 9 16.0 68.88 74.66 74.66 0.8006
## 1724 1 1 2 3 3 9.0 35.34 26.64 35.34 1.2625
## 1725 3 1 7 8 8 16.0 51.56 75.13 75.13 0.5052
## 1740 1 1 7 5 7 14.5 59.89 24.49 59.89 0.6324
## 1747 1 1 8 9 9 16.0 62.39 62.39 62.39 0.7810
## 1749 1 0 6 5 6 12.0 68.70 81.40 81.40 0.6116
## 1751 1 1 2 1 2 6.0 17.00 17.53 17.53 -0.2571
## 1754 1 0 5 5 5 12.0 16.50 17.00 17.00 0.0655
## 1758 2 1 7 8 8 16.0 28.48 20.78 28.48 -0.0826
## 1761 2 1 8 6 8 16.0 65.12 21.82 65.12 -0.1632
## 1764 3 1 3 3 3 9.0 17.00 28.52 28.52 -1.7600
## 1769 2 1 5 5 5 12.0 60.29 28.52 60.29 1.7078
## 1770 3 1 9 5 9 16.0 82.41 17.00 82.41 -0.1622
## 1773 2 1 8 8 8 16.0 62.13 58.07 62.13 1.7387
## 1776 3 1 6 5 6 12.0 27.91 40.54 40.54 0.7272
## 1779 2 1 8 8 8 16.0 79.74 79.74 79.74 1.4126
## 1780 3 1 9 9 9 16.0 70.50 70.89 70.89 0.2578
## 1781 2 0 9 9 9 16.0 70.09 62.39 70.09 -0.3200
## 1782 2 0 5 5 5 12.0 65.01 65.01 65.01 1.3033
## 1786 1 0 9 5 9 16.0 57.00 44.14 57.00 -0.3200
## 1787 3 1 9 5 9 16.0 76.49 86.72 86.72 -0.6510
## 1788 2 1 8 7 8 16.0 70.50 28.52 70.50 -1.1374
## 1789 2 1 1 1 1 3.0 17.85 18.13 18.13 -0.3588
## 1792 2 1 9 9 9 16.0 52.72 80.78 80.78 2.2220
## 1794 2 1 9 9 9 16.0 26.64 43.76 43.76 0.6728
## 1799 3 1 9 5 9 16.0 70.89 31.15 70.89 -0.3588
## 1803 3 0 5 5 5 12.0 82.31 81.92 82.31 0.3924
## 1812 1 1 5 5 5 12.0 17.55 58.07 58.07 0.8511
## 1819 1 1 3 2 3 9.0 24.53 24.53 24.53 0.5500
## 1823 3 1 8 7 8 16.0 65.01 36.92 65.01 -0.1303
## 1830 3 0 5 5 5 12.0 39.02 51.50 51.50 -0.1700
## 1832 2 1 9 8 9 16.0 70.89 37.83 70.89 0.3628
## 1837 1 1 7 8 8 16.0 31.08 31.08 31.08 -0.6000
## 1839 2 1 1 1 1 3.0 16.38 20.91 20.91 -0.3200
## 1841 5 1 7 5 7 14.5 62.13 81.40 81.40 0.3139
## 1843 2 0 3 2 3 9.0 24.98 33.76 33.76 -0.5191
## 1844 2 1 7 10 10 16.0 17.00 86.72 86.72 -1.2931
## 1846 2 1 5 5 5 12.0 74.79 59.89 74.79 1.1605
## 1847 3 1 5 5 5 12.0 25.04 12.87 25.04 0.7932
## 1848 2 1 8 9 9 16.0 68.70 65.01 68.70 0.7079
## 1851 1 1 10 9 10 16.0 68.70 11.74 68.70 -0.8700
## 1857 2 1 6 5 6 12.0 88.70 59.89 88.70 -0.1320
## 1858 5 1 10 10 10 16.0 21.64 67.94 67.94 0.8511
## 1859 1 1 9 5 9 16.0 50.90 63.31 63.31 -1.0787
## 1870 1 1 10 6 10 16.0 39.04 25.45 39.04 -0.3003
## 1877 3 1 5 5 5 12.0 25.04 49.48 49.48 -1.6292
## 1879 3 0 9 8 9 16.0 85.41 70.89 85.41 0.7430
## 1883 2 1 6 9 9 16.0 28.48 78.86 78.86 -0.8158
## 1886 5 1 8 9 9 16.0 52.72 37.83 52.72 -0.3724
## 1887 1 1 6 3 6 12.0 44.92 15.35 44.92 -0.4144
## 1890 2 1 6 6 6 12.0 26.64 23.80 26.64 1.3441
## 1891 3 1 8 5 8 16.0 44.94 25.95 44.94 -0.4552
## 1900 2 1 2 2 2 6.0 16.38 20.91 20.91 -0.8100
## 1902 2 1 5 5 5 12.0 81.92 88.70 88.70 1.5413
## 1903 4 1 9 8 9 16.0 62.39 75.54 75.54 1.0614
## 1904 4 1 9 5 9 16.0 17.00 26.62 26.62 1.5616
## 1907 1 1 7 5 7 14.5 31.08 31.08 31.08 1.1370
## 1908 3 1 9 5 9 16.0 76.65 15.35 76.65 1.0726
## 1910 3 1 8 9 9 16.0 72.83 75.50 75.50 0.4060
## 1911 4 1 8 5 8 16.0 53.15 28.48 53.15 1.0020
## 1912 2 0 10 10 10 16.0 75.54 86.72 86.72 3.3852
## 1915 4 1 8 9 9 16.0 68.70 79.74 79.74 0.1891
## 1917 2 1 10 5 10 16.0 68.70 51.01 68.70 0.0700
## 1918 2 1 5 5 5 12.0 26.85 30.78 30.78 -0.8929
## 1921 3 1 8 7 8 16.0 71.39 73.38 73.38 0.5501
## 1927 1 1 8 9 9 16.0 35.34 63.31 63.31 -0.3926
## 1928 3 1 9 6 9 16.0 68.70 32.50 68.70 -0.0574
## 1929 3 1 8 8 8 16.0 50.57 62.39 62.39 0.0811
## 1933 4 1 8 8 8 16.0 62.45 81.40 81.40 0.8511
## 1934 3 1 7 1 7 14.5 75.54 25.95 75.54 -0.8787
## 1937 2 1 9 5 9 16.0 70.34 17.55 70.34 1.6015
## 1941 3 1 8 8 8 16.0 76.49 72.30 76.49 -0.4482
## 1943 3 1 5 5 5 12.0 17.00 22.75 22.75 0.1891
## 1950 3 1 8 5 8 16.0 74.66 78.86 78.86 1.1605
## 1953 1 1 9 9 9 16.0 70.50 78.76 78.76 -0.1020
## 1954 1 0 5 5 5 12.0 25.04 51.56 51.56 0.3311
## 1956 2 1 3 3 3 9.0 17.00 24.53 24.53 0.2412
## 1959 1 1 9 5 9 16.0 82.41 15.35 82.41 0.2320
## 1961 2 1 7 8 8 16.0 68.70 46.38 68.70 0.6600
## 1963 1 1 8 7 8 16.0 79.74 71.39 79.74 0.5224
## 1965 2 1 8 8 8 16.0 70.50 48.13 70.50 -0.8091
## 1966 1 0 9 10 10 16.0 71.39 88.70 88.70 3.7408
## 1968 3 1 8 7 8 16.0 78.86 61.07 78.86 0.6055
## 1970 2 0 3 7 7 14.5 17.00 30.34 30.34 0.0035
## 1971 1 1 9 6 9 16.0 54.92 35.34 54.92 -0.2508
## 1975 2 1 9 8 9 16.0 77.88 58.07 77.88 0.7000
## 1980 2 1 5 10 10 16.0 24.98 57.03 57.03 -0.2067
## 1981 3 1 10 8 10 16.0 75.43 72.24 75.43 0.3624
## 1987 2 1 9 9 9 16.0 86.72 68.54 86.72 1.2600
## 1989 2 1 1 3 3 9.0 31.08 28.52 31.08 -0.0877
## 1991 1 0 9 5 9 16.0 76.49 30.78 76.49 -0.8022
## 1992 3 1 8 8 8 16.0 20.91 65.12 65.12 0.7159
## 1994 1 0 9 9 9 16.0 76.65 74.66 76.65 0.8068
## 1996 2 1 8 9 9 16.0 85.13 77.10 85.13 0.8511
## 1999 2 1 7 5 7 14.5 59.76 57.03 59.76 2.1231
## 2002 4 1 5 10 10 16.0 73.38 61.91 73.38 0.7263
## 2004 4 1 10 8 10 16.0 65.01 47.74 65.01 0.2140
## 2006 1 1 9 8 9 16.0 43.85 36.92 43.85 0.7159
## 2009 4 1 10 8 10 16.0 68.70 25.95 68.70 1.4126
## 2011 2 1 9 5 9 16.0 24.98 25.95 25.95 -0.3003
## 2018 3 1 8 9 9 16.0 86.72 50.15 86.72 0.8961
## 2022 2 0 8 5 8 16.0 80.78 72.30 80.78 -0.3527
## 2030 3 1 6 8 8 16.0 57.03 19.41 57.03 0.5800
## 2033 2 1 5 8 8 16.0 30.90 59.89 59.89 -0.0073
## 2040 4 1 9 9 9 16.0 65.01 79.05 79.05 0.7159
## 2048 2 0 9 9 9 16.0 76.49 86.72 86.72 1.4876
## 2052 1 1 7 8 8 16.0 56.00 19.20 56.00 -1.1413
## 2057 1 1 5 5 5 12.0 17.00 33.76 33.76 -0.2067
## 2060 2 1 10 10 10 16.0 68.70 57.03 68.70 1.1165
## 2062 2 1 6 6 6 12.0 76.65 64.44 76.65 0.6543
## 2068 1 0 5 5 5 12.0 48.10 22.79 48.10 -0.0581
## 2069 3 0 10 9 10 16.0 68.70 51.50 68.70 1.1084
## 2076 2 1 1 1 1 3.0 21.82 11.74 21.82 -1.0153
## 2077 1 1 8 6 8 16.0 48.66 70.09 70.09 0.6608
## 2084 5 1 9 9 9 16.0 75.54 21.08 75.54 0.5612
## 2092 2 1 10 7 10 16.0 68.70 47.74 68.70 0.5869
## 2095 2 1 3 5 5 12.0 32.20 23.96 32.20 -0.6259
## 2098 2 1 10 9 10 16.0 76.98 55.96 76.98 0.6543
## 2102 2 1 5 8 8 16.0 17.00 43.85 43.85 0.4011
## 2103 1 0 2 9 9 16.0 88.70 27.91 88.70 0.3311
## 2104 2 1 10 10 10 16.0 52.72 57.03 57.03 0.5869
## 2108 1 1 2 3 3 9.0 11.74 11.74 11.74 -1.4034
## 2116 2 0 5 10 10 16.0 61.82 16.50 61.82 -0.6960
## 2117 4 1 5 6 6 12.0 25.04 17.00 25.04 -1.7023
## 2123 1 0 9 10 10 16.0 75.54 85.85 85.85 0.1403
## 2127 3 1 5 5 5 12.0 39.02 27.81 39.02 -1.0503
## 2138 3 1 2 3 3 9.0 16.38 25.26 25.26 -1.2231
## 2141 2 1 8 9 9 16.0 51.01 86.72 86.72 -0.3200
## 2146 2 1 8 5 8 16.0 71.39 71.39 71.39 -0.0517
## 2147 1 1 5 5 5 12.0 68.70 25.95 68.70 0.5349
## 2156 6 1 6 6 6 12.0 31.08 16.34 31.08 2.1913
## 2157 2 0 7 6 7 14.5 65.12 65.12 65.12 -0.0674
## 2159 5 1 10 10 10 16.0 68.70 68.70 68.70 0.2607
## 2162 3 0 10 8 10 16.0 68.70 26.64 68.70 2.0755
## 2164 2 1 3 9 9 16.0 30.90 36.35 36.35 1.2831
## 2165 2 1 10 10 10 16.0 76.49 67.94 76.49 1.0292
## 2170 3 1 5 5 5 12.0 70.34 59.89 70.34 0.5212
## 2173 2 1 3 2 3 9.0 24.98 30.78 30.78 -0.3400
## 2175 1 0 2 2 2 6.0 17.00 13.24 17.00 -0.0574
## 2177 2 1 9 6 9 16.0 73.91 57.03 73.91 -0.3200
## 2179 2 1 6 5 6 12.0 35.34 26.64 35.34 0.1341
## 2181 2 1 8 9 9 16.0 74.70 74.66 74.70 -0.3200
## 2183 2 1 10 3 10 16.0 59.89 59.89 59.89 -0.3926
## 2184 1 1 10 8 10 16.0 68.70 25.95 68.70 1.0020
## 2185 1 1 8 5 8 16.0 47.83 17.69 47.83 -0.7180
## 2189 1 1 9 5 9 16.0 26.64 68.54 68.54 0.5800
## 2196 2 1 8 5 8 16.0 43.85 71.39 71.39 0.2473
## 2197 5 1 9 9 9 16.0 62.39 86.72 86.72 1.4126
## 2200 1 1 1 1 1 3.0 16.80 22.16 22.16 0.4426
## 2203 2 1 7 5 7 14.5 26.64 36.35 36.35 0.3909
## 2205 1 1 3 2 3 9.0 21.82 21.96 21.96 0.4343
## 2210 2 1 5 8 8 16.0 16.36 16.80 16.80 -0.4183
## 2212 3 0 8 6 8 16.0 52.72 25.95 52.72 -0.1067
## 2216 3 1 9 8 9 16.0 68.70 74.66 74.66 -0.1320
## 2218 2 1 1 2 2 6.0 11.56 25.95 25.95 -1.2949
## 2219 2 0 1 5 5 12.0 60.29 26.85 60.29 -0.0877
## 2223 3 1 8 7 8 16.0 39.02 17.00 39.02 -0.0103
## 2231 2 1 9 8 9 16.0 75.54 62.45 75.54 0.3762
## 2233 1 0 8 8 8 16.0 70.34 27.91 70.34 1.4544
## 2239 2 1 7 8 8 16.0 46.76 82.41 82.41 -0.2918
## 2241 3 1 3 3 3 9.0 17.55 38.80 38.80 0.1248
## 2252 3 1 9 9 9 16.0 82.41 76.65 82.41 -0.6000
## 2255 5 1 9 9 9 16.0 73.91 79.49 79.49 0.3507
## 2259 3 1 8 10 10 16.0 66.42 30.59 66.42 0.4229
## 2260 3 1 6 5 6 12.0 70.89 25.26 70.89 -0.0073
## 2262 2 1 6 8 8 16.0 39.02 31.08 39.02 1.4326
## 2268 3 1 10 10 10 16.0 48.66 33.66 48.66 -0.2571
## 2272 4 1 8 8 8 16.0 39.02 30.59 39.02 0.3344
## 2274 2 1 8 8 8 16.0 43.85 70.34 70.34 0.6731
## 2275 2 1 5 3 5 12.0 54.55 57.03 57.03 0.1891
## 2277 2 1 5 5 5 12.0 17.00 27.91 27.91 -1.8255
## 2278 4 1 8 5 8 16.0 21.64 30.78 30.78 0.6700
## 2281 2 1 3 5 5 12.0 30.90 18.13 30.90 0.6731
## 2286 5 1 5 8 8 16.0 65.01 40.56 65.01 -0.0574
## 2287 2 1 9 9 9 16.0 62.39 78.86 78.86 0.2867
## 2289 2 1 3 3 3 9.0 14.57 71.39 71.39 -0.6055
## 2290 2 1 8 8 8 16.0 71.39 76.65 76.65 -0.6878
## 2293 2 1 9 9 9 16.0 68.70 78.86 78.86 -0.0574
## 2294 1 1 8 7 8 16.0 76.65 30.78 76.65 -0.1559
## 2295 3 1 9 9 9 16.0 38.88 79.05 79.05 0.4729
## 2296 3 1 7 6 7 14.5 59.76 75.13 75.13 -0.1020
## 2300 3 1 5 5 5 12.0 24.53 30.78 30.78 0.1168
## 2302 2 1 3 5 5 12.0 16.38 17.56 17.56 -0.4482
## 2303 5 1 8 9 9 16.0 70.50 17.00 70.50 -0.8647
## 2304 2 1 10 8 10 16.0 51.01 30.78 51.01 1.5532
## 2308 1 1 10 10 10 16.0 26.64 26.64 26.64 -1.2434
## 2309 3 1 8 7 8 16.0 44.92 26.85 44.92 1.1900
## 2312 2 1 10 9 10 16.0 70.89 17.00 70.89 0.8006
## 2319 1 0 9 9 9 16.0 86.72 71.39 86.72 1.0285
## 2325 2 1 6 5 6 12.0 61.91 74.79 74.79 -0.1320
## 2329 2 0 8 8 8 16.0 82.41 57.03 82.41 1.0020
## 2330 2 1 10 10 10 16.0 70.89 81.92 81.92 0.2000
## 2333 2 1 6 6 6 12.0 26.64 70.50 70.50 0.6324
## 2338 1 1 8 9 9 16.0 63.31 56.03 63.31 -0.8741
## 2339 3 1 9 9 9 16.0 68.70 79.05 79.05 0.6890
## 2342 2 1 9 8 9 16.0 68.70 74.66 74.66 0.5624
## 2343 2 1 10 10 10 16.0 47.74 58.07 58.07 1.7743
## 2344 2 1 8 8 8 16.0 62.39 57.03 62.39 0.3344
## 2351 2 1 8 8 8 16.0 68.88 75.13 75.13 1.9651
## 2352 1 0 9 9 9 16.0 57.99 37.22 57.00 -0.2812
## 2357 2 1 8 10 10 16.0 76.65 85.41 85.41 0.3924
## 2363 2 1 10 9 10 16.0 65.01 65.01 65.01 0.5500
## 2365 3 1 10 8 10 16.0 73.38 53.77 73.38 0.6400
## 2373 2 1 10 9 10 16.0 86.72 54.86 86.72 -0.0073
## 2374 3 1 8 5 8 16.0 14.21 30.78 30.78 0.1106
## 2381 3 1 8 9 9 16.0 43.85 30.78 43.85 0.1810
## 2383 2 1 5 9 9 16.0 60.29 78.86 78.86 0.7333
## 2388 3 1 10 6 10 16.0 44.92 17.69 44.92 -0.6000
## 2391 2 1 5 6 6 12.0 67.94 30.78 67.94 -0.8100
## 2394 2 1 5 8 8 16.0 35.34 31.08 35.34 -0.5855
## 2398 3 1 9 9 9 16.0 51.01 82.41 82.41 0.5838
## 2400 2 1 5 8 8 16.0 57.68 77.19 77.19 -0.4482
## 2402 3 1 9 6 9 16.0 88.70 25.06 88.70 -0.2000
## 2403 2 1 9 9 9 16.0 75.54 81.13 81.13 0.7610
## 2405 2 0 8 5 8 16.0 65.12 28.48 65.12 0.5869
## 2406 4 1 8 8 8 16.0 44.94 74.66 74.66 0.2320
## 2411 2 1 3 3 3 9.0 17.55 28.52 28.52 -1.3707
## 2412 4 1 7 6 7 14.5 39.02 15.35 39.02 -0.5168
## 2415 5 1 8 8 8 16.0 62.39 74.66 74.66 0.1891
## 2418 2 1 6 5 6 12.0 51.56 23.80 51.56 0.3371
## 2419 1 1 3 3 3 9.0 18.95 11.74 18.95 1.6300
## 2420 3 1 9 6 9 16.0 41.27 29.16 41.27 2.0700
## 2423 2 1 5 5 5 12.0 43.85 14.57 43.85 -0.6259
## 2427 2 1 9 5 9 16.0 17.55 22.75 22.75 0.4764
## 2428 3 1 10 9 10 16.0 61.60 68.88 68.88 0.5482
## 2430 2 1 9 9 9 16.0 58.77 62.39 62.39 0.4484
## 2432 1 1 8 8 8 16.0 70.40 74.66 74.66 1.1012
## 2433 3 0 9 5 9 16.0 79.49 30.90 79.49 1.1084
## 2435 2 1 9 9 9 16.0 17.00 88.70 88.70 0.8724
## 2439 2 1 5 5 5 12.0 25.04 25.26 25.26 -0.3003
## 2440 2 1 8 9 9 16.0 30.90 81.92 81.92 1.2247
## 2441 2 1 3 5 5 12.0 16.50 43.85 43.85 3.2153
## 2448 2 1 10 10 10 16.0 88.70 35.34 88.70 1.4608
## 2449 3 0 8 8 8 16.0 68.88 79.74 79.74 -0.5191
## 2450 2 1 7 8 8 16.0 57.04 81.92 81.92 0.7159
## 2453 3 1 5 5 5 12.0 58.77 76.65 76.65 0.1830
## 2454 2 1 9 10 10 16.0 63.03 57.99 63.03 0.9473
## 2457 1 1 9 5 9 16.0 65.01 58.07 65.01 0.4721
## 2462 3 1 8 9 9 16.0 17.00 88.70 88.70 1.3033
## 2467 4 1 9 9 9 16.0 70.40 77.10 77.10 -0.2544
## 2470 2 1 2 1 2 6.0 23.47 23.47 23.47 0.5869
## 2476 1 1 8 8 8 16.0 57.04 83.50 83.50 0.7159
## 2477 1 1 8 5 8 16.0 43.85 24.53 43.85 -1.3460
## 2478 2 1 8 5 8 16.0 53.15 57.03 57.03 -1.3015
## 2480 3 1 9 5 9 16.0 78.86 65.12 78.86 0.8771
## 2483 3 1 9 5 9 16.0 70.50 52.72 70.50 0.6293
## 2484 1 1 8 8 8 16.0 65.01 56.64 65.01 0.1891
## 2490 2 1 3 2 3 9.0 24.53 33.76 33.76 -0.7123
## 2494 2 1 10 10 10 16.0 68.70 57.99 68.70 1.0592
## 2497 5 1 9 9 9 16.0 65.01 80.46 80.46 0.0100
## 2502 2 1 9 10 10 16.0 85.41 74.66 85.41 0.8511
## 2504 3 1 9 5 9 16.0 76.49 58.07 76.49 -0.1622
## 2505 1 1 7 6 7 14.5 53.15 75.43 75.43 0.6731
## 2513 1 1 8 8 8 16.0 14.21 24.09 24.09 0.6216
## 2519 1 1 5 5 5 12.0 43.85 22.77 43.85 -0.1496
## 2522 3 1 5 5 5 12.0 65.01 51.50 65.01 -0.3200
## 2527 2 1 1 5 5 12.0 17.00 27.91 27.91 -0.2768
## 2528 2 0 2 3 3 9.0 35.34 26.62 35.34 1.6868
## 2529 3 1 8 7 8 16.0 71.39 33.76 71.39 1.6041
## 2534 4 1 8 8 8 16.0 68.70 76.98 76.98 -0.1020
## 2537 2 1 6 6 6 12.0 31.08 50.15 50.15 0.3624
## 2540 4 1 8 7 8 16.0 72.83 72.83 72.83 0.8771
## 2544 3 1 6 6 6 12.0 65.01 59.89 65.01 1.2422
## 2547 2 0 9 8 9 16.0 76.49 51.50 76.49 1.1605
## 2550 2 1 7 8 8 16.0 68.70 66.42 68.70 -0.3003
## 2551 4 0 8 8 8 16.0 68.70 25.26 68.70 1.4326
## 2563 2 1 6 2 6 12.0 31.08 48.66 48.66 0.7430
## 2564 3 1 6 5 6 12.0 47.83 25.95 47.83 -0.0073
## 2565 2 1 9 7 9 16.0 68.70 70.40 70.40 -0.3588
## 2566 1 1 5 5 5 12.0 14.21 27.91 27.91 -0.2812
## 2567 2 0 7 10 10 16.0 76.65 85.41 85.41 0.2835
## 2569 2 1 10 2 10 16.0 27.52 24.53 27.52 -1.5122
## 2577 2 1 5 5 5 12.0 75.54 68.54 75.54 -1.2026
## 2578 1 1 5 5 5 12.0 19.66 47.74 47.74 0.5567
## 2580 3 0 8 9 9 16.0 80.46 86.72 86.72 0.4293
## 2581 3 1 9 5 9 16.0 86.72 86.72 86.72 1.2530
## 2583 2 1 5 8 8 16.0 54.92 71.39 71.39 -1.4600
## 2588 2 1 8 9 9 16.0 76.65 30.32 76.65 1.2031
## 2589 2 1 5 8 8 16.0 74.66 59.35 74.66 0.7333
## 2593 2 1 9 8 9 16.0 76.49 24.98 76.49 1.5638
## 2595 3 1 10 8 10 16.0 68.70 65.01 68.70 -0.4263
## 2597 4 1 9 9 9 16.0 68.70 43.85 68.70 0.5224
## 2599 1 1 9 9 9 16.0 57.03 72.83 72.83 0.5166
## 2602 6 1 9 7 9 16.0 68.70 62.45 68.70 0.1106
## 2603 2 1 5 5 5 12.0 27.91 21.13 27.91 0.7810
## 2604 1 1 10 9 10 16.0 68.70 65.01 68.70 0.8511
## 2612 3 1 5 3 5 12.0 16.38 21.82 21.82 -0.0574
## 2613 1 1 9 9 9 16.0 68.70 67.94 68.70 -0.3812
## 2615 4 1 9 6 9 16.0 57.00 19.78 57.00 1.2781
## 2616 1 1 9 8 9 16.0 78.86 82.41 82.41 0.3654
## 2620 1 1 5 5 5 12.0 17.00 25.95 25.95 0.0400
## 2626 2 1 9 9 9 16.0 68.70 68.88 68.88 0.7102
## 2628 3 1 9 9 9 16.0 68.70 54.92 68.70 -0.3200
## 2631 4 1 5 5 5 12.0 16.38 17.55 17.55 0.6273
## 2634 2 1 8 3 8 16.0 62.79 51.01 62.79 0.4946
## 2635 1 1 8 9 9 16.0 16.50 53.77 53.77 0.3924
## 2638 2 1 9 9 9 16.0 68.70 64.44 68.70 1.0020
## 2645 1 1 6 5 6 12.0 48.66 70.34 70.34 1.4352
## 2647 3 1 10 6 10 16.0 57.99 62.39 62.39 0.5675
## 2648 1 1 6 3 6 12.0 28.48 17.56 28.48 -0.6464
## 2650 2 1 9 5 9 16.0 76.49 22.77 76.49 -0.7300
## 2652 2 1 9 9 9 16.0 59.18 26.85 59.18 1.1343
## 2656 4 1 7 7 7 14.5 11.74 70.34 70.34 0.9155
## 2661 2 0 5 5 5 12.0 17.00 71.39 71.39 -0.3200
## 2664 2 1 8 8 8 16.0 43.33 65.12 65.12 1.1292
## 2665 2 1 8 6 8 16.0 70.50 51.56 70.50 0.1296
## 2669 2 0 5 5 5 12.0 30.99 59.89 59.89 0.1891
## 2671 2 1 5 5 5 12.0 71.39 24.53 71.39 1.7661
## 2676 3 1 9 9 9 16.0 74.79 77.88 77.88 -0.0574
## 2678 3 1 9 9 9 16.0 20.91 75.50 75.50 0.3061
## 2683 3 1 10 1 10 16.0 68.70 17.69 68.70 0.3924
## 2684 2 1 5 5 5 12.0 27.81 36.35 36.35 -0.6596
## 2685 2 1 9 8 9 16.0 82.41 71.39 82.41 0.1891
## 2688 2 0 6 5 6 12.0 31.08 51.50 51.50 0.1428
## 2689 3 1 8 8 8 16.0 80.92 79.74 80.92 -0.2123
## 2690 4 1 5 5 5 12.0 57.99 24.68 57.00 1.2701
## 2698 2 1 5 5 5 12.0 58.07 17.00 58.07 -0.1020
## 2702 2 1 10 9 10 16.0 57.04 38.80 57.04 -0.0073
## 2704 2 1 3 5 5 12.0 56.00 17.00 56.00 -0.3003
## 2705 2 1 9 9 9 16.0 82.41 65.01 82.41 0.3344
## 2706 2 1 9 9 9 16.0 71.39 60.44 71.39 0.2801
## 2711 3 1 8 8 8 16.0 35.34 59.89 59.89 0.2741
## 2712 2 1 3 9 9 16.0 17.00 65.01 65.01 0.4011
## 2715 5 1 8 10 10 16.0 57.04 86.72 86.72 -1.1819
## 2722 3 1 8 8 8 16.0 62.39 57.03 62.39 -0.0447
## 2727 2 1 8 8 8 16.0 24.98 35.34 35.34 0.6731
## 2730 1 0 10 9 10 16.0 65.01 73.38 73.38 0.3568
## 2731 1 1 5 8 8 16.0 62.39 60.29 62.39 -1.2294
## 2733 3 1 10 9 10 16.0 68.70 27.91 68.70 2.2514
## 2734 2 1 8 8 8 16.0 22.79 83.50 83.50 0.6731
## 2737 2 1 6 5 6 12.0 56.00 19.66 56.00 -0.1323
## 2740 2 1 9 8 9 16.0 70.50 79.05 79.05 1.1084
## 2747 2 0 8 5 8 16.0 66.42 41.27 66.42 1.7333
## 2748 2 1 10 9 10 16.0 68.70 43.85 68.70 0.7215
## 2749 2 1 8 9 9 16.0 50.90 56.35 56.35 0.4006
## 2751 1 1 9 9 9 16.0 31.08 25.95 31.08 2.1327
## 2754 4 1 5 5 5 12.0 24.53 32.50 32.50 -0.7816
## 2755 3 1 5 5 5 12.0 16.38 18.08 18.08 -0.3003
## 2760 4 0 8 6 8 16.0 68.70 59.89 68.70 -0.6510
## 2761 1 1 7 6 7 14.5 44.14 22.16 44.14 0.5166
## 2765 5 1 9 7 9 16.0 70.34 71.39 71.39 1.0546
## 2769 2 1 2 6 6 12.0 31.08 62.39 62.39 -0.6510
## 2774 2 1 9 7 9 16.0 68.70 15.35 68.70 1.3838
## 2788 2 1 9 9 9 16.0 76.49 71.39 76.49 0.5800
## 2789 3 1 8 9 9 16.0 70.89 79.05 79.05 -0.0574
## 2792 2 1 9 7 9 16.0 70.50 30.32 70.50 0.2259
## 2793 2 1 7 6 7 14.5 24.98 33.66 33.66 -0.7194
## 2796 1 1 5 5 5 12.0 25.95 17.55 25.95 1.1686
## 2798 3 0 9 8 9 16.0 29.18 62.45 62.45 -0.3200
## 2799 2 1 9 8 9 16.0 75.50 74.66 75.50 1.1346
## 2802 3 1 2 8 8 16.0 17.00 65.12 65.12 0.5800
## 2805 1 0 7 9 9 16.0 71.39 48.13 71.39 1.0036
## 2807 1 1 8 8 8 16.0 70.50 51.50 70.50 0.8142
## 2809 4 0 10 9 10 16.0 70.34 73.91 73.91 2.3145
## 2810 3 0 8 8 8 16.0 54.55 59.76 59.76 0.7474
## 2812 3 0 7 8 8 16.0 65.23 17.69 65.23 0.0526
## 2813 1 1 6 6 6 12.0 76.65 50.90 76.65 0.8511
## 2818 2 1 5 5 5 12.0 35.34 20.95 35.34 0.8701
## 2820 1 1 8 8 8 16.0 71.39 75.50 75.50 0.8511
## 2822 2 1 5 5 5 12.0 16.38 26.85 26.85 0.7374
## 2826 2 1 6 7 7 14.5 39.02 65.01 65.01 2.0077
## 2827 3 1 8 7 8 16.0 17.00 11.74 17.00 2.4896
## 2830 3 1 10 10 10 16.0 35.34 85.41 85.41 1.2858
## 2831 5 1 9 7 9 16.0 54.92 27.91 54.92 0.5349
## 2836 3 1 7 8 8 16.0 47.83 59.76 59.76 1.5160
## 2838 2 1 5 1 5 12.0 50.15 20.91 50.15 1.0229
## 2839 2 1 8 10 10 16.0 17.00 81.92 81.92 0.7374
## 2843 2 1 5 8 8 16.0 16.50 79.05 79.05 -0.2123
## 2844 2 1 3 2 3 9.0 16.38 59.89 59.89 0.5166
## 2845 2 1 5 5 5 12.0 76.49 14.21 76.49 -0.2248
## 2853 2 1 9 9 9 16.0 73.91 17.56 73.91 0.7159
## 2858 2 1 8 7 8 16.0 47.83 57.37 57.37 0.7374
## 2866 2 1 5 5 5 12.0 60.29 74.66 74.66 0.0340
## 2867 2 1 7 7 7 14.5 56.00 26.64 56.00 -0.1020
## 2868 1 1 7 7 7 14.5 17.00 23.57 23.57 -1.0637
## 2869 3 1 9 9 9 16.0 75.25 57.68 75.25 0.0600
## 2872 3 1 8 8 8 16.0 57.04 36.35 57.04 0.6731
## 2874 2 1 9 9 9 16.0 68.70 78.86 78.86 -0.2027
## 2875 1 1 7 8 8 16.0 51.56 24.45 51.56 0.2028
## 2878 4 1 9 5 9 16.0 58.07 14.21 58.07 0.3924
## 2879 2 1 10 5 10 16.0 68.70 15.35 68.70 -0.5200
## 2884 4 1 10 5 10 16.0 86.72 23.80 86.72 0.1506
## 2885 3 1 5 5 5 12.0 17.00 35.34 35.34 -1.6124
## 2887 3 1 8 9 9 16.0 73.91 79.05 79.05 -0.0073
## 2890 1 1 8 9 9 16.0 24.85 28.48 28.48 1.4393
## 2893 2 1 9 5 9 16.0 76.49 19.78 76.49 0.3592
## 2905 3 1 10 10 10 16.0 73.38 85.41 85.41 0.3061
## 2906 2 0 8 9 9 16.0 66.42 66.42 66.42 0.1891
## 2910 2 1 5 3 5 12.0 17.00 33.76 33.76 -0.0073
## 2911 2 1 8 6 8 16.0 24.53 36.35 36.35 -0.6259
## 2913 2 1 8 8 8 16.0 30.59 43.85 43.85 1.2571
## 2914 2 0 6 6 6 12.0 31.08 28.52 31.08 0.6833
## 2916 2 0 7 8 8 16.0 73.38 78.86 78.86 0.2801
## 2917 1 1 9 5 9 16.0 51.63 72.94 72.94 0.2146
## 2922 2 0 8 9 9 16.0 73.38 52.72 73.38 1.0285
## 2926 2 0 7 7 7 14.5 17.00 17.00 17.00 -0.0775
## 2928 1 0 8 8 8 16.0 63.03 65.01 65.01 2.8019
## 2931 0 1 9 5 9 16.0 70.89 16.36 70.89 1.5182
## 2932 3 1 9 8 9 16.0 76.49 30.47 76.49 0.5500
## 2934 2 1 8 8 8 16.0 76.49 71.39 76.49 0.4207
## 2935 2 1 8 8 8 16.0 28.97 18.03 28.97 -0.3003
## 2939 2 1 5 8 8 16.0 24.98 76.65 76.65 -1.2703
## 2940 1 1 8 8 8 16.0 76.65 47.74 76.65 -0.3588
## 2944 2 1 8 9 9 16.0 44.94 60.92 60.92 1.1346
## 2945 2 1 10 10 10 16.0 24.53 43.85 43.85 -1.2304
## 2950 2 0 3 3 3 9.0 43.85 19.66 43.85 0.2473
## 2951 3 0 10 9 10 16.0 80.92 78.86 80.92 0.6142
## 2953 5 1 8 5 8 16.0 82.41 16.36 82.41 0.5311
## 2955 4 0 5 5 5 12.0 37.22 35.82 37.22 0.1891
## 2959 2 0 5 5 5 12.0 62.39 17.00 62.39 -0.2082
## 2967 2 1 8 8 8 16.0 39.02 47.74 47.74 0.2368
## 2979 3 1 6 3 6 12.0 31.08 33.76 33.76 -0.5434
## 2982 3 1 2 2 2 6.0 17.00 33.76 33.76 -1.4258
## 2983 2 1 9 9 9 16.0 76.65 82.41 82.41 0.8768
## 2985 2 1 9 8 9 16.0 58.07 70.09 70.09 0.2320
## 2988 2 1 7 9 9 16.0 80.92 68.54 80.92 1.1551
## 2990 1 1 5 9 9 16.0 28.48 75.54 75.54 -0.6259
## 2997 2 1 8 9 9 16.0 46.76 73.71 73.71 1.0285
## 2998 3 1 5 8 8 16.0 17.00 25.95 25.95 1.2777
## 2999 4 1 9 8 9 16.0 76.49 73.91 76.49 1.5585
## 3000 3 0 5 5 5 12.0 24.98 24.53 24.98 -0.0717
## 3005 3 1 6 8 8 16.0 17.00 73.91 73.91 -0.5527
## 3008 1 1 5 5 5 12.0 30.90 24.53 30.90 0.8069
## 3016 2 0 5 5 5 12.0 24.98 41.27 41.27 0.2412
## 3019 3 1 8 8 8 16.0 81.40 79.05 81.40 1.1728
## 3022 2 1 8 9 9 16.0 57.68 57.68 57.68 1.2422
## 3026 2 1 8 9 9 16.0 30.90 86.72 86.72 0.7159
## 3028 2 1 5 5 5 12.0 88.70 17.00 88.70 -0.6348
## 3032 2 1 8 9 9 16.0 70.50 62.13 70.50 0.2181
## 3034 2 1 3 6 6 12.0 25.04 24.53 25.04 -0.8753
## 3035 2 0 9 8 9 16.0 76.49 71.39 76.49 0.1525
## 3036 3 1 5 5 5 12.0 65.01 78.86 78.86 0.7159
## 3037 2 1 10 10 10 16.0 88.70 85.41 88.70 0.8222
## 3044 3 1 8 3 8 16.0 68.70 37.83 68.70 0.4042
## 3048 1 1 5 2 5 12.0 24.53 21.82 24.53 -1.7172
## 3053 3 1 8 6 8 16.0 82.41 59.89 82.41 1.4904
## 3056 1 1 9 7 9 16.0 77.88 14.57 77.88 2.0814
## 3058 4 1 9 9 9 16.0 66.42 28.48 66.42 1.0340
## 3059 3 1 5 3 5 12.0 30.49 20.91 30.49 -0.5434
## 3061 2 1 3 5 5 12.0 68.70 51.35 68.70 -0.1496
## 3064 3 1 9 5 9 16.0 70.34 73.91 73.91 0.3924
## 3073 2 1 7 5 7 14.5 62.39 22.77 62.39 -0.8741
## 3074 2 1 8 8 8 16.0 82.41 59.89 82.41 -0.0574
## 3079 2 1 9 9 9 16.0 66.42 58.05 66.42 4.1742
## 3081 2 1 7 5 7 14.5 26.64 21.96 26.64 -0.1622
## 3082 4 1 8 8 8 16.0 58.07 65.12 65.12 2.5844
## 3088 2 0 5 3 5 12.0 14.21 30.78 30.78 0.8734
## 3095 3 0 5 5 5 12.0 39.02 75.50 75.50 -0.6510
## 3098 2 0 8 6 8 16.0 75.54 29.16 75.54 1.6136
## 3102 1 1 8 5 8 16.0 30.90 17.00 30.90 -1.1856
## 3103 3 1 8 9 9 16.0 76.65 70.34 76.65 0.7159
## 3105 3 0 8 8 8 16.0 76.49 76.65 76.65 0.9035
## 3108 2 1 8 6 8 16.0 62.39 17.55 62.39 0.4042
## 3109 3 1 5 5 5 12.0 73.91 25.06 73.91 -1.5578
## 3111 3 0 9 8 9 16.0 86.72 51.01 86.72 0.6324
## 3114 1 1 8 3 8 16.0 56.00 30.78 56.00 -0.1020
## 3117 1 1 9 5 9 16.0 24.15 24.85 24.85 -0.0145
## 3118 1 1 7 9 9 16.0 57.00 71.72 71.72 1.6200
## 3119 3 0 7 9 9 16.0 31.08 62.39 62.39 1.2200
## 3120 2 0 8 8 8 16.0 65.01 65.01 65.01 0.8511
## 3121 3 0 9 3 9 16.0 65.01 58.07 65.01 1.1217
## 3123 2 1 9 9 9 16.0 76.49 71.39 76.49 -0.9215
## 3124 2 1 5 5 5 12.0 28.48 29.73 29.73 0.6260
## 3126 2 1 7 8 8 16.0 65.12 65.12 65.12 0.1428
## 3127 4 1 9 9 9 16.0 24.98 58.07 58.07 1.6781
## 3130 3 1 5 5 5 12.0 16.50 21.96 21.96 0.0463
## 3131 2 1 7 8 8 16.0 62.39 50.15 62.39 0.5224
## 3132 4 1 9 7 9 16.0 66.42 16.36 66.42 0.8771
## 3136 3 1 8 8 8 16.0 70.40 70.89 70.89 0.2320
## 3139 1 1 2 3 3 9.0 50.15 50.15 50.15 -0.5191
## 3144 3 1 10 5 10 16.0 68.70 34.25 68.70 -0.8884
## 3155 2 1 8 8 8 16.0 63.31 63.31 63.31 0.6600
## 3157 2 1 6 6 6 12.0 77.88 65.01 77.88 0.6565
## 3160 3 1 10 8 10 16.0 81.92 81.92 81.92 -0.4067
## 3166 2 1 10 10 10 16.0 57.64 37.83 57.64 -0.4301
## 3169 2 1 9 6 9 16.0 85.41 27.52 85.41 1.2602
## 3170 2 1 10 9 10 16.0 81.92 66.42 81.92 1.6552
## 3174 2 1 2 2 2 6.0 18.03 18.03 18.03 -0.0073
## 3177 4 1 9 10 10 16.0 60.29 53.15 60.29 2.1500
## 3178 2 1 10 8 10 16.0 68.70 74.66 74.66 0.8771
## 3179 2 1 9 8 9 16.0 71.39 71.39 71.39 0.6703
## 3183 2 1 6 6 6 12.0 75.50 27.25 75.50 0.4389
## 3188 2 1 8 3 8 16.0 71.39 25.06 71.39 -0.2865
## 3190 1 0 8 5 8 16.0 50.57 27.52 50.57 -0.8746
## 3193 1 1 9 8 9 16.0 66.42 68.54 68.54 -0.5351
## 3196 2 1 8 8 8 16.0 59.89 75.50 75.50 1.1343
## 3201 2 1 5 5 5 12.0 40.54 29.16 40.54 1.4380
## 3203 2 1 10 5 10 16.0 70.50 25.95 70.50 1.4731
## 3206 2 1 5 7 7 14.5 38.88 51.01 51.01 0.6055
## 3207 2 1 8 8 8 16.0 85.13 78.86 85.13 1.6041
## 3211 2 1 9 6 9 16.0 75.54 65.12 75.54 0.1428
## 3212 3 1 8 5 8 16.0 79.74 25.23 79.74 -0.1700
## 3214 1 1 5 7 7 14.5 39.02 17.69 39.02 0.8886
## 3216 1 0 10 8 10 16.0 68.70 76.49 76.49 0.2773
## 3217 3 1 8 5 8 16.0 24.53 14.39 24.53 1.6041
## 3221 2 0 8 7 8 16.0 82.41 71.39 82.41 1.6190
## 3222 1 0 2 2 2 6.0 17.00 16.39 17.00 -0.8205
## 3223 1 1 5 3 5 12.0 39.02 11.74 39.02 0.4664
## 3225 2 1 5 5 5 12.0 23.41 30.78 30.78 1.4126
## 3226 3 1 8 8 8 16.0 51.56 70.34 70.34 2.4907
## 3228 2 1 7 9 9 16.0 17.00 35.34 35.34 1.8562
## 3229 2 0 8 5 8 16.0 48.10 62.45 62.45 1.2082
## 3231 3 1 10 9 10 16.0 81.13 66.42 81.13 0.7159
## 3232 1 1 10 8 10 16.0 68.70 48.13 68.70 1.7864
## 3235 2 1 8 8 8 16.0 71.39 78.86 78.86 1.1605
## 3242 1 1 6 6 6 12.0 51.56 32.50 51.56 0.6887
## 3243 1 1 10 7 10 16.0 67.94 73.71 73.71 0.1891
## 3245 2 0 8 7 8 16.0 62.13 26.80 62.13 -0.6000
## 3246 2 1 10 10 10 16.0 56.00 25.95 56.00 -0.6205
## 3248 2 1 8 7 8 16.0 60.44 58.07 60.44 -0.1622
## 3251 2 1 5 7 7 14.5 48.66 67.94 67.94 0.4207
## 3256 2 1 8 3 8 16.0 28.48 27.91 28.48 -1.1565
## 3257 1 1 5 9 9 16.0 43.33 71.39 71.39 0.4000
## 3261 2 1 9 9 9 16.0 59.89 70.34 70.34 -0.2137
## 3267 2 1 9 5 9 16.0 26.64 24.53 26.64 -0.3527
## 3270 2 1 5 5 5 12.0 26.64 26.85 26.85 -0.7025
## 3271 1 1 8 8 8 16.0 68.54 16.38 68.54 1.0187
## 3273 1 1 8 8 8 16.0 82.41 72.83 82.41 0.1500
## 3275 3 1 9 8 9 16.0 63.31 71.39 71.39 1.8125
## 3276 2 1 5 5 5 12.0 40.54 19.78 40.54 -0.3200
## 3277 3 0 5 5 5 12.0 14.21 59.89 59.89 0.3879
## 3278 2 1 10 5 10 16.0 48.13 30.78 48.13 1.1315
## 3284 1 1 8 9 9 16.0 65.01 35.82 65.01 0.0156
## 3286 2 1 6 8 8 16.0 31.08 72.30 72.30 1.2602
## 3287 1 1 5 9 9 16.0 16.36 70.34 70.34 -0.0073
## 3288 2 1 8 5 8 16.0 56.00 30.78 56.00 1.3033
## 3292 3 1 9 8 9 16.0 59.35 65.12 65.12 1.4904
## 3294 3 1 9 5 9 16.0 68.70 20.91 68.70 1.5936
## 3295 1 1 6 7 7 14.5 31.08 46.38 46.38 0.3924
## 3298 1 0 9 8 9 16.0 68.70 70.34 70.34 0.7159
## 3299 1 1 1 2 2 6.0 11.74 21.13 21.13 1.2491
## 3303 2 1 7 6 7 14.5 70.50 16.36 70.50 -0.3003
## 3306 2 1 9 9 9 16.0 29.73 31.46 31.46 -0.0073
## 3310 2 1 8 10 10 16.0 75.54 75.54 75.54 0.3924
## 3312 2 1 3 5 5 12.0 14.57 53.77 53.77 -0.0073
## 3315 2 1 9 3 9 16.0 68.70 58.07 68.70 0.9602
## 3320 3 1 8 8 8 16.0 70.40 74.66 74.66 0.4207
## 3322 1 1 8 7 8 16.0 76.98 46.38 76.98 1.7333
## 3325 1 1 10 6 10 16.0 88.70 30.59 88.70 -0.6510
## 3327 2 1 5 9 9 16.0 66.42 37.83 66.42 1.4347
## 3329 1 0 3 3 3 9.0 17.00 14.57 17.00 -2.5500
## 3330 3 1 9 8 9 16.0 79.74 79.74 79.74 1.1346
## 3338 2 1 8 8 8 16.0 32.20 15.35 32.20 -0.4301
## 3342 3 1 8 8 8 16.0 17.00 74.79 74.79 0.4265
## 3343 1 1 8 9 9 16.0 79.74 75.13 79.74 0.3762
## 3351 2 1 9 5 9 16.0 71.39 35.34 71.39 -0.3200
## 3352 3 1 8 5 8 16.0 17.00 22.77 22.77 -0.4067
## 3362 3 1 5 8 8 16.0 59.76 78.86 78.86 4.1742
## 3364 5 1 7 8 8 16.0 70.34 71.39 71.39 0.5500
## 3369 2 1 8 8 8 16.0 82.41 73.91 82.41 0.1891
## 3370 2 1 8 7 8 16.0 76.65 62.45 76.65 0.6700
## 3375 2 1 10 10 10 16.0 62.13 60.92 62.13 0.5326
## 3380 2 0 9 9 9 16.0 66.42 78.86 78.86 1.3006
## 3384 2 1 8 8 8 16.0 53.15 30.78 53.15 0.4756
## 3385 2 1 8 8 8 16.0 76.65 68.54 76.65 1.5385
## 3387 4 1 9 8 9 16.0 68.88 79.74 79.74 0.2320
## 3388 3 1 7 8 8 16.0 24.98 74.66 74.66 0.5349
## 3389 2 0 8 8 8 16.0 56.64 35.34 56.64 1.8846
## 3390 2 1 5 5 5 12.0 65.01 57.03 65.01 0.0837
## 3391 3 1 2 10 10 16.0 66.42 30.78 66.42 1.5638
## 3392 2 1 8 6 8 16.0 78.86 28.48 78.86 1.4583
## 3393 2 1 8 8 8 16.0 26.64 74.66 74.66 2.2766
## 3398 1 1 5 5 5 12.0 27.91 27.91 27.91 -0.7865
## 3399 2 1 9 9 9 16.0 65.01 65.42 65.42 -0.0073
## 3401 2 1 5 5 5 12.0 60.29 43.85 60.29 1.5465
## 3402 2 1 9 9 9 16.0 71.39 73.71 73.71 1.4247
## 3405 4 1 9 10 10 16.0 81.92 81.13 81.92 1.0646
## 3408 2 1 8 5 8 16.0 53.15 40.54 53.15 -0.5191
## 3410 1 0 8 8 8 16.0 29.73 71.39 71.39 -0.1700
## 3415 2 1 5 5 5 12.0 80.78 50.15 80.78 0.4207
## 3416 1 1 8 3 8 16.0 25.04 24.45 25.04 0.1428
## 3421 2 1 8 8 8 16.0 85.41 65.42 85.41 0.1592
## 3438 2 1 9 9 9 16.0 82.41 85.41 85.41 0.8511
## 3439 2 1 6 7 7 14.5 70.89 53.77 70.89 0.2756
## 3440 1 1 6 6 6 12.0 31.08 16.39 31.08 0.2424
## 3443 1 0 5 5 5 12.0 43.33 78.86 78.86 1.2656
## 3446 2 1 9 9 9 16.0 86.72 86.72 86.72 -0.6458
## 3449 2 1 9 8 9 16.0 86.72 62.45 86.72 1.0020
## 3450 2 1 5 5 5 12.0 57.03 57.03 57.03 0.7430
## 3453 2 1 5 5 5 12.0 51.56 25.95 51.56 0.7215
## 3454 1 1 5 5 5 12.0 57.99 16.50 57.00 -1.1521
## 3457 3 1 9 9 9 16.0 71.39 62.45 71.39 3.0882
## 3458 1 1 5 10 10 16.0 17.00 88.31 88.31 1.2777
## 3459 3 1 5 6 6 12.0 39.02 29.16 39.02 0.3333
## 3460 2 1 10 8 10 16.0 68.70 29.16 68.70 -0.2875
## 3461 2 1 6 7 7 14.5 62.39 78.86 78.86 0.1296
## 3462 3 1 8 9 9 16.0 73.91 75.13 75.13 0.0340
## 3465 2 1 5 9 9 16.0 44.94 25.95 44.94 -0.6709
## 3468 2 1 9 8 9 16.0 76.65 75.50 76.65 1.8125
## 3474 1 1 3 3 3 9.0 28.70 14.57 28.70 -1.3707
## 3475 2 1 3 8 8 16.0 24.53 70.50 70.50 0.2607
## 3476 4 1 10 10 10 16.0 81.13 65.01 81.13 0.9688
## 3480 5 1 5 5 5 12.0 14.21 17.53 17.53 -1.0015
## 3485 4 1 6 6 6 12.0 68.70 24.53 68.70 -2.0686
## 3486 2 1 9 9 9 16.0 86.72 54.27 86.72 0.3762
## 3488 3 1 5 5 5 12.0 16.50 25.95 25.95 -1.6846
## 3492 2 0 7 8 8 16.0 17.00 65.12 65.12 0.4207
## 3494 3 1 10 9 10 16.0 88.31 35.07 88.31 -0.2067
## 3495 3 1 5 5 5 12.0 24.79 33.76 33.76 0.1724
## 3501 1 1 9 9 9 16.0 76.49 82.41 82.41 -0.6903
## 3507 1 1 3 3 3 9.0 17.00 17.69 17.69 0.7017
## 3509 2 1 8 8 8 16.0 65.23 39.45 65.23 0.4042
## 3512 3 1 3 3 3 9.0 22.77 22.77 22.77 0.2473
## 3515 3 1 6 6 6 12.0 24.53 22.75 24.53 0.3311
## 3516 2 1 9 5 9 16.0 17.00 17.00 17.00 1.2046
## 3517 2 0 10 10 10 16.0 88.70 73.71 88.70 0.4729
## 3521 2 1 7 6 7 14.5 68.70 25.26 68.70 -0.1805
## 3527 2 0 5 5 5 12.0 62.39 17.53 62.39 0.4934
## 3532 3 1 8 9 9 16.0 73.38 74.66 74.66 0.8948
## 3533 5 1 8 5 8 16.0 73.91 59.89 73.91 1.8466
## 3537 2 1 9 8 9 16.0 76.65 51.50 76.65 0.7159
## 3541 3 1 9 9 9 16.0 76.49 60.92 76.49 0.5624
## 3546 2 1 9 8 9 16.0 73.91 73.91 73.91 1.1605
## 3553 1 1 5 2 5 12.0 26.64 17.00 26.64 -1.1051
## 3557 2 0 8 8 8 16.0 76.49 62.45 76.49 -0.3001
## 3562 1 1 9 3 9 16.0 68.70 16.50 68.70 -0.1632
## 3564 2 1 9 7 9 16.0 67.94 57.68 67.94 0.3457
## 3565 2 1 9 5 9 16.0 66.42 17.56 66.42 0.7288
## 3568 2 1 8 8 8 16.0 74.79 28.48 74.79 -0.8725
## 3570 1 0 5 6 6 12.0 18.08 24.49 24.49 1.3100
## 3572 3 1 8 9 9 16.0 57.37 74.66 74.66 0.2607
## 3576 3 1 6 6 6 12.0 51.56 57.03 57.03 -0.2271
## 3578 4 1 8 3 8 16.0 76.65 70.57 76.65 2.6126
## 3580 1 1 6 5 6 12.0 71.39 19.66 71.39 -0.0073
## 3582 3 1 9 5 9 16.0 75.54 25.95 75.54 0.5806
## 3583 2 1 5 2 5 12.0 52.72 17.00 52.72 0.5282
## 3588 3 1 9 8 9 16.0 76.49 73.91 76.49 2.0100
## 3590 1 1 8 5 8 16.0 76.49 17.00 76.49 -0.8271
## 3594 3 1 6 6 6 12.0 53.15 53.15 53.15 1.2500
## 3595 3 1 9 9 9 16.0 85.41 68.88 85.41 -0.8091
## 3598 3 1 8 9 9 16.0 65.23 77.10 77.10 -0.3003
## 3605 2 1 9 9 9 16.0 82.41 80.46 82.41 0.3085
## 3615 4 0 5 5 5 12.0 72.83 30.78 72.83 0.7159
## 3619 1 1 9 8 9 16.0 14.21 16.36 16.36 -0.9092
## 3622 3 0 10 9 10 16.0 88.31 70.34 88.31 2.2514
## 3623 2 1 5 5 5 12.0 14.21 39.04 39.04 -0.1020
## 3624 2 1 5 5 5 12.0 24.98 22.77 24.98 -1.0112
## 3625 1 1 5 5 5 12.0 71.39 11.56 71.39 -0.1496
## 3628 3 1 8 7 8 16.0 61.82 72.27 72.27 -0.4067
## 3630 2 0 9 7 9 16.0 51.01 74.66 74.66 0.4383
## 3633 4 1 6 6 6 12.0 75.43 16.36 75.43 0.5349
## 3638 2 1 7 7 7 14.5 57.68 79.74 79.74 1.5936
## 3643 2 1 9 5 9 16.0 26.64 33.76 33.76 -0.0073
## 3645 2 1 8 3 8 16.0 16.80 17.56 17.56 -0.8787
## 3646 3 1 9 10 10 16.0 72.24 81.92 81.92 -0.3200
## 3647 4 1 8 8 8 16.0 71.39 81.92 81.92 0.8511
## 3649 2 0 5 5 5 12.0 40.56 31.08 40.56 -0.7305
## 3651 2 1 1 8 8 16.0 23.88 29.81 29.81 -0.5225
## 3653 3 0 9 5 9 16.0 70.09 70.34 70.34 0.6875
## 3654 2 1 8 7 8 16.0 62.13 73.91 73.91 1.0668
## 3657 4 0 5 5 5 12.0 24.98 29.16 29.16 1.5585
## 3658 3 0 9 8 9 16.0 53.15 35.34 53.15 -0.0500
## 3659 1 1 5 5 5 12.0 57.99 59.89 59.89 -0.8430
## 3664 2 1 9 6 9 16.0 62.39 62.39 62.39 -0.5558
## 3666 3 1 3 8 8 16.0 17.00 36.35 36.35 0.6293
## 3670 1 1 8 8 8 16.0 24.98 51.50 51.50 1.0285
## 3671 2 1 5 5 5 12.0 30.90 51.56 51.56 -0.3001
## 3675 2 1 7 6 7 14.5 42.30 53.77 53.77 0.1428
## 3676 2 1 8 8 8 16.0 17.00 74.66 74.66 0.3344
## 3682 2 0 6 2 6 12.0 44.94 65.12 65.12 0.7604
## 3684 3 1 5 5 5 12.0 68.70 70.34 70.34 2.8738
## 3686 2 1 8 8 8 16.0 21.24 73.91 73.91 0.4484
## 3689 2 1 8 8 8 16.0 30.90 77.10 77.10 -0.8047
## 3691 4 1 8 5 8 16.0 59.76 29.16 59.76 0.8787
## 3697 3 1 8 8 8 16.0 61.07 82.41 82.41 1.6446
## 3699 3 0 3 3 3 9.0 17.00 33.76 33.76 0.8276
## 3707 1 1 5 5 5 12.0 56.00 43.76 56.00 -0.1020
## 3711 2 1 8 8 8 16.0 73.91 74.66 74.66 0.8245
## 3712 3 0 9 9 9 16.0 81.92 79.49 81.92 0.4207
## 3718 3 1 9 7 9 16.0 68.70 79.74 79.74 0.3061
## 3719 2 1 1 3 3 9.0 16.36 24.53 24.53 -0.1083
## 3725 1 1 8 6 8 16.0 68.70 11.56 68.70 0.1690
## 3727 2 1 5 5 5 12.0 43.85 65.42 65.42 1.9458
## 3728 1 0 5 5 5 12.0 44.94 51.01 51.01 -0.4174
## 3729 1 1 6 5 6 12.0 68.70 59.89 68.70 0.7427
## 3730 2 1 8 10 10 16.0 59.89 80.46 80.46 0.9035
## 3735 2 1 9 9 9 16.0 57.68 33.76 57.68 0.3222
## 3739 3 1 9 8 9 16.0 70.89 65.12 70.89 -0.3466
## 3740 2 1 10 10 10 16.0 88.31 81.92 88.31 0.7159
## 3741 4 1 8 8 8 16.0 58.77 79.05 79.05 0.4484
## 3748 1 0 9 9 9 16.0 75.43 82.41 82.41 -0.5622
## 3751 4 1 5 5 5 12.0 24.53 23.80 24.53 1.0049
## 3765 3 1 9 7 9 16.0 82.41 51.50 82.41 0.2578
## 3770 5 1 9 9 9 16.0 51.01 82.41 82.41 1.0107
## 3774 2 1 9 9 9 16.0 57.04 72.24 72.24 0.3924
## 3775 2 1 8 6 8 16.0 68.70 50.90 68.70 1.9267
## 3776 2 1 3 2 3 9.0 17.55 20.91 20.91 -1.8601
## 3778 2 1 5 5 5 12.0 17.00 33.76 33.76 0.5440
## 3782 2 1 7 5 7 14.5 24.53 46.73 46.73 -0.6134
## 3789 1 1 5 3 5 12.0 43.85 30.78 43.85 0.1366
## 3790 2 1 6 6 6 12.0 44.94 17.56 44.94 -0.4763
## 3791 2 0 8 8 8 16.0 70.40 60.29 70.40 -0.0073
## 3792 2 1 9 7 9 16.0 68.70 51.01 68.70 0.2792
## 3793 1 1 9 9 9 16.0 74.66 65.12 74.66 2.6126
## 3795 3 0 7 7 7 14.5 24.98 30.34 30.34 1.2884
## 3799 1 1 7 6 7 14.5 61.18 36.35 61.18 0.3344
## 3804 2 0 8 9 9 16.0 54.55 65.42 65.42 0.5500
## 3805 3 1 8 9 9 16.0 39.02 70.50 70.50 2.2514
## 3810 2 1 5 5 5 12.0 39.04 65.12 65.12 -0.8300
## 3815 1 1 3 3 3 9.0 68.70 25.95 68.70 -1.4184
## 3824 1 1 10 6 10 16.0 68.70 17.00 68.70 -0.5429
## 3826 2 0 9 8 9 16.0 82.41 54.00 82.41 -0.9169
## 3827 2 0 8 8 8 16.0 77.88 74.66 77.88 0.8245
## 3829 2 1 5 5 5 12.0 28.48 24.53 28.48 0.8006
## 3835 2 1 8 8 8 16.0 68.70 65.64 68.70 0.1891
## 3838 4 1 3 5 5 12.0 25.04 43.85 43.85 -0.8421
## 3839 2 1 8 8 8 16.0 38.58 70.34 70.34 1.2777
## 3840 4 1 8 7 8 16.0 37.83 25.06 37.83 -0.6205
## 3851 2 1 9 8 9 16.0 79.74 74.66 79.74 0.4764
## 3856 2 0 6 3 6 12.0 28.48 25.39 28.48 -1.4196
## 3859 2 1 9 10 10 16.0 17.00 58.07 58.07 -0.2217
## 3861 2 1 10 2 10 16.0 65.01 19.78 65.01 1.0491
## 3862 2 1 8 9 9 16.0 74.66 86.72 86.72 0.7159
## 3868 2 1 6 8 8 16.0 19.66 25.26 25.26 0.0526
## 3871 3 1 9 9 9 16.0 67.94 81.92 81.92 1.4380
## 3877 1 1 3 8 8 16.0 80.92 71.39 80.92 0.1396
## 3880 2 1 7 7 7 14.5 71.39 60.92 71.39 1.0285
## 3882 3 1 9 6 9 16.0 70.50 17.00 70.50 1.0755
## 3886 4 1 3 5 5 12.0 16.38 15.35 16.38 -1.0153
## 3887 1 0 1 9 9 16.0 32.20 27.91 32.20 -0.2280
## 3889 2 0 5 5 5 12.0 17.00 22.16 22.16 -0.1700
## 3891 4 1 7 8 8 16.0 57.99 46.38 57.00 -0.0073
## 3893 3 1 7 5 7 14.5 76.65 37.83 76.65 -0.1020
## 3898 3 1 8 9 9 16.0 82.41 65.01 82.41 -1.1393
## 3899 4 1 8 8 8 16.0 39.02 26.85 39.02 -0.7868
## 3908 1 0 5 8 8 16.0 44.14 17.00 44.14 -0.6172
## 3909 3 0 9 5 9 16.0 76.49 35.34 76.49 0.9155
## 3911 1 1 8 9 9 16.0 65.01 23.96 65.01 0.2607
## 3916 2 1 2 3 3 9.0 17.55 11.74 17.55 -0.3003
## 3919 5 1 7 9 9 16.0 17.00 86.72 86.72 1.6868
## 3921 5 1 10 10 10 16.0 37.59 65.12 65.12 -0.2423
## 3923 2 0 5 9 9 16.0 17.00 75.50 75.50 0.1862
## 3928 2 1 8 7 8 16.0 65.01 57.03 65.01 -0.2705
## 3934 3 1 8 8 8 16.0 76.49 61.07 76.49 0.9155
## 3937 3 1 5 5 5 12.0 44.92 25.26 44.92 1.1864
## 3942 3 1 5 8 8 16.0 81.13 81.40 81.40 0.2124
## 3944 3 1 10 8 10 16.0 68.70 36.35 68.70 0.2787
## 3948 1 1 5 5 5 12.0 55.25 44.14 55.25 0.3924
## 3949 2 1 6 5 6 12.0 27.52 22.16 27.52 1.1343
## 3951 3 1 10 5 10 16.0 67.94 51.50 67.94 -0.3527
## 3954 3 1 8 5 8 16.0 77.88 59.89 77.88 1.4126
## 3956 1 1 9 9 9 16.0 24.53 65.01 65.01 -0.8686
## 3959 2 1 8 8 8 16.0 76.65 62.45 76.65 0.9340
## 3964 4 1 9 9 9 16.0 73.91 59.89 73.91 -0.4067
## 3965 1 1 1 6 6 12.0 19.83 35.34 35.34 -0.3596
## 3966 2 1 7 7 7 14.5 73.91 62.39 73.91 2.0096
## 3967 2 1 5 5 5 12.0 62.39 71.39 71.39 0.0642
## 3976 2 0 9 9 9 16.0 81.13 81.13 81.13 1.3033
## 3980 2 1 9 10 10 16.0 35.34 51.56 51.56 -0.4900
## 3981 1 0 8 5 8 16.0 43.33 32.75 43.33 -1.1862
## 3983 1 0 8 7 8 16.0 74.79 51.01 74.79 0.5326
## 3984 2 1 8 8 8 16.0 24.98 75.13 75.13 -0.3200
## 3985 2 1 9 8 9 16.0 57.99 25.26 57.00 -0.2000
## 3986 1 1 6 5 6 12.0 73.38 52.72 73.38 -0.6314
## 3987 3 1 9 5 9 16.0 82.41 63.03 82.41 -0.0526
## 3989 2 1 8 6 8 16.0 76.65 62.39 76.65 -0.6369
## 3998 2 1 9 9 9 16.0 25.46 24.53 25.46 0.7641
## 4000 1 0 8 8 8 16.0 77.88 65.01 77.88 0.3145
## 4001 3 0 7 9 9 16.0 57.03 33.76 57.03 -0.4463
## 4005 1 1 9 7 9 16.0 68.70 17.55 68.70 0.5800
## 4006 2 1 9 9 9 16.0 76.49 78.86 78.86 1.2571
## 4007 2 1 8 9 9 16.0 53.15 73.91 73.91 -0.8741
## 4013 1 1 5 2 5 12.0 32.20 15.35 32.20 -0.3003
## 4016 3 1 9 8 9 16.0 65.01 79.05 79.05 0.6293
## 4020 1 1 8 8 8 16.0 43.33 46.38 46.38 0.8272
## 4022 3 1 8 8 8 16.0 57.97 65.12 65.12 0.4664
## 4023 2 1 8 8 8 16.0 65.01 30.14 65.01 -0.3588
## 4028 3 1 5 3 5 12.0 23.57 17.53 23.57 -0.8855
## 4029 1 1 9 9 9 16.0 56.64 24.49 56.64 0.3371
## 4031 2 1 8 7 8 16.0 68.70 57.03 68.70 0.1891
## 4034 3 1 9 9 9 16.0 76.49 70.34 76.49 1.0020
## 4037 4 1 9 5 9 16.0 57.00 14.82 57.00 0.7871
## 4040 3 0 8 8 8 16.0 68.55 74.66 74.66 -0.4646
## 4043 2 1 10 9 10 16.0 56.00 78.86 78.86 1.1900
## 4047 2 1 9 7 9 16.0 62.39 26.62 62.39 1.5160
## 4048 3 1 9 9 9 16.0 76.49 82.41 82.41 1.4326
## 4052 3 0 9 5 9 16.0 81.05 17.00 81.05 0.7610
## 4054 1 1 5 5 5 12.0 80.46 65.12 80.46 1.3721
## 4056 1 1 5 3 5 12.0 31.08 25.95 31.08 0.1891
## 4058 2 1 5 5 5 12.0 65.42 17.55 65.42 -0.1622
## 4059 1 1 9 5 9 16.0 62.39 16.36 62.39 -0.0371
## 4067 5 1 10 10 10 16.0 86.72 24.53 86.72 -0.8694
## 4068 2 1 8 8 8 16.0 16.36 15.35 16.36 0.0700
## 4074 3 1 5 5 5 12.0 56.00 24.53 56.00 -0.7318
## 4075 2 0 9 8 9 16.0 65.01 29.16 65.01 0.7159
## 4077 4 1 8 5 8 16.0 48.10 26.64 48.10 -0.1129
## 4078 2 1 8 8 8 16.0 76.65 76.65 76.65 -0.6690
## 4083 0 1 10 10 10 16.0 59.76 30.34 59.76 0.9155
## 4088 2 0 8 8 8 16.0 23.57 30.49 30.49 -0.5378
## 4091 2 1 10 9 10 16.0 68.70 31.72 68.70 0.5291
## 4101 2 1 5 5 5 12.0 14.21 27.91 27.91 0.2412
## 4108 2 1 7 7 7 14.5 16.50 16.36 16.50 0.9155
## 4110 1 1 9 9 9 16.0 86.72 73.91 86.72 2.4640
## 4114 4 0 5 7 7 14.5 43.33 36.92 43.33 1.0285
## 4115 1 1 9 5 9 16.0 68.70 35.34 68.70 0.3251
## 4119 2 1 8 8 8 16.0 72.96 72.96 72.96 0.4664
## 4122 1 1 8 9 9 16.0 51.56 15.35 51.56 -1.0302
## 4124 2 0 5 5 5 12.0 39.02 20.95 39.02 -0.3003
## 4127 1 1 5 5 5 12.0 17.55 11.74 17.55 -0.6000
## 4129 4 0 3 3 3 9.0 17.55 25.94 25.94 1.1315
## 4132 3 1 9 10 10 16.0 65.01 85.41 85.41 1.7606
## 4133 2 0 6 6 6 12.0 62.13 56.00 62.13 0.1891
## 4135 2 1 9 8 9 16.0 76.49 62.13 76.49 0.4484
## 4142 2 1 9 9 9 16.0 25.04 17.53 25.04 -0.0901
## 4144 1 1 8 5 8 16.0 32.50 17.00 32.50 1.1193
## 4145 4 1 9 9 9 16.0 66.42 54.27 66.42 0.0100
## 4146 3 1 9 9 9 16.0 70.09 70.34 70.34 0.6731
## 4147 2 1 2 8 8 16.0 24.98 30.78 30.78 0.7936
## 4149 2 1 7 6 7 14.5 21.96 35.07 35.07 0.7773
## 4150 2 1 8 10 10 16.0 74.79 86.72 86.72 0.2835
## 4152 3 1 10 7 10 16.0 56.00 76.65 76.65 1.6826
## 4155 1 1 3 2 3 9.0 16.38 16.39 16.39 -0.4259
## 4156 4 1 8 8 8 16.0 71.55 75.50 75.50 0.5326
## 4157 2 1 5 5 5 12.0 17.00 40.54 40.54 -0.7300
## 4160 1 1 3 10 10 16.0 58.05 88.70 88.70 -0.7845
## 4162 3 1 6 5 6 12.0 57.68 25.95 57.68 0.1428
## 4164 2 1 5 5 5 12.0 31.08 26.62 31.08 -1.2786
## 4166 3 1 5 9 9 16.0 17.00 50.15 50.15 -1.0310
## 4167 1 0 8 5 8 16.0 71.39 30.78 71.39 -1.2944
## 4168 5 1 8 8 8 16.0 73.91 73.91 73.91 1.4072
## 4170 1 0 7 5 7 14.5 35.34 17.79 35.34 1.0592
## 4179 2 1 9 7 9 16.0 73.91 80.46 80.46 0.8511
## 4181 4 0 2 2 2 6.0 17.00 33.76 33.76 -0.6055
## 4186 1 1 5 5 5 12.0 24.53 17.00 24.53 -0.8700
## 4192 3 1 9 9 9 16.0 79.74 79.49 79.74 -1.5583
## 4197 1 1 10 7 10 16.0 68.70 33.76 68.70 -0.1083
## 4202 2 1 8 8 8 16.0 70.89 65.42 70.89 0.8006
## 4205 3 1 8 9 9 16.0 42.30 73.38 73.38 0.1891
## 4208 1 0 8 8 8 16.0 76.49 65.01 76.49 -0.3588
## 4210 3 0 9 7 9 16.0 75.50 17.00 75.50 -0.7837
## 4214 2 0 9 9 9 16.0 43.33 71.39 71.39 2.2718
## 4222 2 0 7 7 7 14.5 68.70 26.62 68.70 0.1830
## 4226 2 1 8 8 8 16.0 60.93 65.12 65.12 0.4207
## 4232 2 1 6 6 6 12.0 64.40 28.52 64.40 -0.3732
## 4234 1 1 10 8 10 16.0 85.85 64.44 85.85 -1.0112
## 4235 2 0 7 6 7 14.5 68.70 24.85 68.70 -1.2294
## 4236 2 1 8 5 8 16.0 41.27 28.52 41.27 0.0463
## 4238 2 1 1 1 1 3.0 24.53 24.53 24.53 1.8243
## 4239 4 1 5 5 5 12.0 51.56 47.74 51.56 -0.6852
## 4241 1 1 8 8 8 16.0 57.38 25.95 57.38 1.2777
## 4246 2 1 7 6 7 14.5 30.59 68.70 68.70 -0.9615
## 4247 2 1 10 9 10 16.0 68.70 48.13 68.70 0.8142
## 4248 3 1 9 8 9 16.0 86.72 24.45 86.72 -1.1915
## 4252 2 1 7 9 9 16.0 24.98 71.39 71.39 -0.0103
## 4254 2 1 7 3 7 14.5 26.64 27.52 27.52 -0.4482
## 4259 1 0 8 8 8 16.0 65.01 57.25 65.01 1.4200
## 4260 2 1 9 8 9 16.0 70.50 59.89 70.50 0.5224
## 4262 2 0 9 9 9 16.0 81.92 70.34 81.92 1.2345
## 4264 3 0 3 5 5 12.0 65.01 51.56 65.01 0.5585
## 4266 2 1 7 7 7 14.5 79.74 74.66 79.74 0.1428
## 4269 1 1 7 9 9 16.0 18.08 58.07 58.07 0.2578
## 4271 2 1 5 5 5 12.0 51.56 70.34 70.34 0.6731
## 4275 2 0 9 8 9 16.0 72.83 23.80 72.83 0.8511
## 4283 3 0 5 7 7 14.5 24.53 71.39 71.39 -0.2576
## 4286 3 1 5 5 5 12.0 28.53 71.39 71.39 0.1891
## 4287 4 1 8 8 8 16.0 31.08 72.83 72.83 0.3924
## 4289 1 1 9 5 9 16.0 76.49 27.61 76.49 -0.0851
## 4291 2 1 5 9 9 16.0 17.55 79.05 79.05 -0.3588
## 4293 2 1 5 5 5 12.0 51.56 14.39 51.56 0.7427
## 4297 3 1 9 9 9 16.0 52.72 79.05 79.05 1.3963
## 4302 3 1 8 9 9 16.0 75.54 74.66 75.54 -0.0574
## 4303 2 1 8 5 8 16.0 39.02 25.95 39.02 0.0687
## 4304 1 1 8 5 8 16.0 73.91 21.82 73.91 0.2320
## 4306 3 0 9 8 9 16.0 68.70 84.61 84.61 0.7500
## 4309 2 0 5 7 7 14.5 68.70 58.07 68.70 -0.1114
## 4310 2 1 8 8 8 16.0 83.50 43.19 83.50 -0.7014
## 4312 2 1 5 10 10 16.0 16.38 33.76 33.76 0.0463
## 4314 3 1 7 5 7 14.5 58.77 65.12 65.12 0.7427
## 4324 2 0 5 8 8 16.0 40.56 65.01 65.01 0.1578
## 4328 2 1 9 6 9 16.0 68.70 57.97 68.70 0.1300
## 4331 2 1 9 5 9 16.0 57.99 19.78 57.00 1.1927
## 4333 2 1 8 8 8 16.0 53.15 78.86 78.86 0.5500
## 4334 2 0 6 6 6 12.0 52.72 59.89 59.89 -0.4013
## 4337 3 1 7 5 7 14.5 53.15 71.39 71.39 -0.7036
## 4339 2 1 8 8 8 16.0 74.79 59.89 74.79 0.4484
## 4340 1 1 5 7 7 14.5 16.50 51.56 51.56 -0.6259
## 4341 5 1 9 5 9 16.0 68.88 17.53 68.88 1.2602
## 4342 4 1 5 5 5 12.0 65.01 70.10 70.10 -0.0073
## 4345 3 0 9 9 9 16.0 76.49 73.38 76.49 0.4100
## 4350 4 1 8 9 9 16.0 76.49 66.42 76.49 -0.6510
## 4352 3 0 10 9 10 16.0 78.76 62.39 78.76 0.3085
## 4355 3 1 5 5 5 12.0 24.53 25.95 25.95 1.3033
## 4358 2 1 5 5 5 12.0 62.39 59.89 62.39 1.3291
## 4362 2 1 7 6 7 14.5 24.53 25.26 25.26 0.1371
## 4366 1 1 7 7 7 14.5 28.48 15.35 28.48 -0.3117
## 4370 1 1 5 9 9 16.0 30.90 65.12 65.12 -0.1700
## 4373 2 1 5 5 5 12.0 17.00 15.35 17.00 -0.2000
## 4374 2 1 9 7 9 16.0 68.70 16.50 68.70 1.0804
## 4375 4 1 8 5 8 16.0 65.23 30.34 65.23 1.1500
## 4376 2 0 9 5 9 16.0 76.49 21.82 76.49 0.5076
## 4378 3 1 10 10 10 16.0 71.45 51.01 71.45 0.1106
## 4380 1 1 8 9 9 16.0 80.46 74.66 80.46 1.5000
## 4385 2 0 8 8 8 16.0 62.39 62.39 62.39 -0.1559
## 4386 2 1 9 9 9 16.0 68.55 74.66 74.66 1.3441
## 4387 2 1 7 8 8 16.0 62.39 26.92 62.39 0.5349
## 4390 5 1 8 8 8 16.0 58.77 70.34 70.34 0.8486
## 4391 2 1 8 5 8 16.0 68.70 62.39 68.70 0.7159
## 4392 4 1 5 5 5 12.0 86.72 25.26 86.72 -0.0073
## 4393 3 1 9 9 9 16.0 70.50 73.91 73.91 1.1809
## 4395 2 0 8 8 8 16.0 73.91 43.85 73.91 -0.2137
## 4396 1 1 10 10 10 16.0 37.59 31.08 37.59 2.4004
## 4398 1 1 10 5 10 16.0 32.20 27.61 32.20 0.0526
## 4402 1 1 5 5 5 12.0 51.56 51.01 51.56 -0.7305
## 4407 1 0 9 7 9 16.0 58.07 77.10 77.10 0.8540
## 4408 2 1 5 6 6 12.0 25.04 59.89 59.89 0.8142
## 4414 4 1 7 8 8 16.0 65.01 74.66 74.66 2.1683
## 4416 2 1 8 7 8 16.0 65.12 21.13 65.12 -0.0548
## 4417 3 1 3 5 5 12.0 39.02 30.78 39.02 0.9049
## 4418 1 1 6 9 9 16.0 21.64 78.86 78.86 -0.9624
## 4419 1 1 5 1 5 12.0 28.48 59.89 59.89 -0.0900
## 4430 1 1 7 8 8 16.0 65.01 51.56 65.01 0.3344
## 4432 1 1 9 2 9 16.0 18.08 17.00 18.08 -0.0073
## 4433 1 1 6 6 6 12.0 17.00 28.03 28.03 1.5107
## 4434 2 1 7 9 9 16.0 19.66 51.50 51.50 0.0700
## 4437 3 1 8 8 8 16.0 81.40 81.40 81.40 2.2212
## 4439 1 1 9 8 9 16.0 86.72 70.34 86.72 1.3586
## 4443 2 1 8 8 8 16.0 76.49 82.41 82.41 -0.2000
## 4444 2 1 6 7 7 14.5 66.42 78.76 78.76 0.8511
## 4451 1 1 5 8 8 16.0 25.95 69.24 69.24 -0.2539
## 4452 3 0 9 5 9 16.0 75.54 71.39 75.54 -0.1129
## 4460 2 1 8 5 8 16.0 58.77 72.27 72.27 -0.1700
## 4462 4 1 9 9 9 16.0 71.39 60.92 71.39 0.1862
## 4466 1 0 8 8 8 16.0 57.99 26.62 57.00 0.3909
## 4467 2 1 5 5 5 12.0 44.94 24.53 44.94 -0.6511
## 4472 4 1 8 8 8 16.0 76.49 78.86 78.86 1.1605
## 4485 2 1 6 9 9 16.0 26.64 64.40 64.40 1.3140
## 4486 2 1 8 5 8 16.0 62.39 59.89 62.39 0.5800
## 4491 4 1 3 8 8 16.0 24.53 86.72 86.72 1.2726
## 4492 2 0 8 8 8 16.0 16.36 17.69 17.69 -0.3364
## 4493 3 0 9 10 10 16.0 71.55 70.50 71.55 -0.0073
## 4496 1 0 9 5 9 16.0 70.50 25.95 70.50 0.6731
## 4497 3 1 8 8 8 16.0 53.15 25.06 53.15 1.0229
## 4499 2 1 8 7 8 16.0 76.49 59.89 76.49 -0.0073
## 4500 2 1 10 10 10 16.0 17.00 81.92 81.92 1.3720
## 4502 5 1 8 8 8 16.0 68.70 76.65 76.65 0.4484
## 4503 2 1 8 9 9 16.0 66.42 71.29 71.29 0.7500
## 4504 1 1 9 10 10 16.0 19.83 17.79 19.83 -1.2894
## 4505 2 1 9 9 9 16.0 72.83 73.91 73.91 0.5869
## 4506 1 1 8 6 8 16.0 74.79 60.92 74.79 -1.8620
## 4511 1 0 7 7 7 14.5 76.49 53.77 76.49 0.7641
## 4516 2 1 9 6 9 16.0 68.70 18.08 68.70 -0.1287
## 4517 2 0 3 9 9 16.0 58.07 33.76 58.07 -0.6259
## 4518 3 1 5 5 5 12.0 76.65 15.35 76.65 1.4233
## 4519 2 1 8 3 8 16.0 54.55 25.95 54.55 -0.3200
## 4521 3 0 9 9 9 16.0 62.39 59.89 62.39 0.4484
## 4522 3 1 10 10 10 16.0 26.64 79.74 79.74 -0.3756
## 4529 4 0 10 10 10 16.0 68.70 34.25 68.70 0.6600
## 4530 4 1 9 9 9 16.0 82.41 54.54 82.41 0.8511
## 4532 1 1 7 6 7 14.5 57.00 23.09 57.00 -0.6259
## 4535 3 1 8 9 9 16.0 17.00 86.72 86.72 -0.0574
## 4547 2 1 7 10 10 16.0 39.02 25.95 39.02 -0.5567
## 4550 4 0 9 5 9 16.0 70.89 25.95 70.89 -0.2485
## 4552 3 1 8 8 8 16.0 57.64 65.01 65.01 0.8000
## HOMEPOS ESCS FCFMLRTY ICTAVSCH ICTHOME ICTAVHOM
## 3 1.1761 1.3463 15 7 0.3346 6
## 8 0.2929 0.7473 12 7 0.3346 6
## 9 1.1559 1.1772 11 7 0.3346 6
## 10 0.6069 0.8877 5 7 -0.3881 5
## 12 0.4548 -0.5548 8 7 0.3346 6
## 13 0.0469 -0.2746 7 7 0.3346 6
## 14 1.5405 0.4400 10 7 0.3346 6
## 23 0.3076 0.5608 7 7 0.3346 6
## 30 -0.8310 0.0164 1 7 0.3346 6
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## 33 1.1777 1.2000 3 6 0.3346 6
## 36 -1.2170 0.0308 0 7 0.3346 6
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## 40 0.3289 0.6094 8 7 0.3346 6
## 43 -0.1692 -0.1180 6 6 -1.1402 5
## 48 0.0200 0.8516 2 7 0.3346 6
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## 65 0.0303 0.6021 1 6 0.3346 6
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## 93 -2.1859 -1.1307 4 7 -1.5118 5
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## 100 0.7872 1.1126 5 7 0.3346 6
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## 165 1.4785 1.0124 7 6 0.3346 6
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## 201 0.3672 0.7600 11 7 0.3346 6
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## 260 1.5600 1.5239 4 7 0.3346 6
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## 265 -0.5700 0.2353 11 7 0.3456 5
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## 270 1.3677 1.4155 9 6 -1.1402 5
## 272 -0.2266 0.5243 5 7 0.3346 6
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## 536 0.6500 -0.5052 8 6 -1.1402 5
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## 1720 0.5377 1.1572 8 7 0.3346 6
## 1723 0.4004 0.8714 4 7 0.3346 6
## 1724 0.5181 -1.0059 0 7 0.3346 6
## 1725 0.4559 0.9038 5 7 0.3346 6
## 1740 0.8145 0.5140 4 7 0.3346 6
## 1747 0.0700 0.5119 16 7 0.3346 6
## 1749 -0.6511 -0.1236 0 7 0.3346 6
## 1751 0.0017 -2.0686 11 7 0.3346 6
## 1754 -0.6127 -1.3234 11 7 0.3346 6
## 1758 0.5819 0.0763 9 7 0.3346 6
## 1761 -0.6434 0.2492 9 7 0.3346 6
## 1764 -2.1069 -2.2464 0 6 -1.5285 5
## 1769 1.3945 0.3441 10 7 0.3346 6
## 1770 -0.9219 0.4577 0 7 0.3346 6
## 1773 0.6592 0.7444 8 7 0.3346 6
## 1776 0.7183 -0.3152 5 7 0.3346 6
## 1779 2.1526 1.7094 0 7 0.3346 6
## 1780 0.3246 0.7681 8 6 0.3346 6
## 1781 0.0100 0.6558 14 7 0.3346 6
## 1782 0.5671 0.0828 7 7 0.3346 6
## 1786 -0.0360 0.3531 3 7 0.3346 6
## 1787 -0.5559 0.6941 0 6 -1.1402 5
## 1788 -0.1748 0.5492 8 6 0.3346 6
## 1789 -0.4519 -2.7571 3 6 0.3346 6
## 1792 1.0530 1.2633 10 7 0.3346 6
## 1794 0.9051 0.5017 16 7 0.3346 6
## 1799 0.3936 0.7300 2 7 0.3346 6
## 1803 1.6675 0.8755 9 7 0.3346 6
## 1812 0.5308 -0.0636 7 7 0.3346 6
## 1819 0.5262 -1.2065 8 7 0.3346 6
## 1823 0.5380 0.7475 0 7 0.3346 6
## 1830 0.5337 -0.1864 6 7 0.3346 6
## 1832 1.4100 1.2318 11 7 0.3346 6
## 1837 0.2362 -0.0210 5 7 0.3346 6
## 1839 -0.2282 -2.6000 0 7 0.3346 6
## 1841 -0.2048 0.4885 7 7 0.3346 6
## 1843 0.0008 -1.2548 10 7 0.3346 6
## 1844 -1.1000 0.4221 16 7 0.3346 6
## 1846 0.3580 0.1789 0 7 0.3346 6
## 1847 -0.2075 0.0000 7 7 0.3346 6
## 1848 0.7564 0.9096 9 7 0.3346 6
## 1851 -0.2338 0.4903 9 7 0.3346 6
## 1857 0.4303 0.4722 6 7 0.3346 6
## 1858 0.0902 0.6131 6 7 0.3346 6
## 1859 -1.0664 0.0358 6 7 0.3346 6
## 1870 -0.3614 -0.1238 6 7 0.3346 6
## 1877 -1.6670 -1.1566 6 7 -1.8457 5
## 1879 -0.0486 0.8842 12 7 0.3346 6
## 1883 -0.1300 0.6500 11 7 0.3346 6
## 1886 0.8882 0.6637 10 7 0.3346 6
## 1887 -0.0936 -0.5763 0 7 0.3346 6
## 1890 0.1213 -0.8305 5 7 0.3346 6
## 1891 -0.8027 -0.1300 10 7 0.3346 6
## 1900 -0.7829 -2.3371 8 6 0.3346 6
## 1902 2.2181 1.2294 2 7 0.3346 6
## 1903 2.0426 1.5835 0 7 0.3346 6
## 1904 0.0921 -0.1663 0 7 0.3346 6
## 1907 0.2826 -0.2552 7 7 0.3346 6
## 1908 0.7649 1.0633 6 7 0.3346 6
## 1910 1.4923 1.3400 10 7 0.3346 6
## 1911 1.0200 0.7612 14 7 0.3346 6
## 1912 3.4458 2.3889 12 5 0.3346 6
## 1915 -0.0321 0.7841 14 7 0.3346 6
## 1917 -0.3660 0.4343 6 7 0.3346 6
## 1918 -0.9278 -1.1966 12 6 0.3346 6
## 1921 1.4004 1.2708 15 7 0.3346 6
## 1927 -1.0532 0.0414 7 1 0.3346 6
## 1928 0.2166 0.6810 10 7 0.3346 6
## 1929 0.5918 0.7208 2 7 0.3346 6
## 1933 0.9401 1.2272 14 7 0.3346 6
## 1934 -0.5903 0.2146 7 7 0.3346 6
## 1937 0.8139 0.9650 10 7 0.3346 6
## 1941 -0.2472 0.6317 8 6 -1.1402 5
## 1943 -0.0260 -0.9663 0 7 0.3346 6
## 1950 0.2752 0.8700 10 7 0.3346 6
## 1953 0.0159 0.7859 10 7 0.3346 6
## 1954 -0.1662 -0.4817 0 7 0.3346 6
## 1956 -0.4218 -1.6080 6 2 0.3346 6
## 1959 0.1431 0.9087 3 7 0.3346 6
## 1961 0.5274 0.8126 10 5 -1.1402 5
## 1963 0.7791 1.1277 10 7 0.3346 6
## 1965 -0.1640 0.5538 14 7 0.3346 6
## 1966 0.9615 1.3741 3 7 0.3346 6
## 1968 0.1216 0.8326 5 7 0.3346 6
## 1970 -0.3879 -0.5532 0 7 0.3346 6
## 1971 0.2236 0.4238 9 7 0.3346 6
## 1975 1.6600 1.4825 11 7 0.3346 6
## 1980 0.5135 0.5864 6 7 0.3346 6
## 1981 0.5561 0.1900 8 7 0.3346 6
## 1987 1.5885 1.6023 12 6 0.3346 6
## 1989 0.2130 -1.2155 12 7 0.3346 6
## 1991 0.3026 0.8645 0 7 -2.6000 4
## 1992 0.5300 0.9432 10 7 0.3346 6
## 1994 1.1134 1.2109 11 7 0.3346 6
## 1996 1.8613 1.6878 9 7 0.3346 6
## 1999 1.4833 0.7949 11 7 0.3346 6
## 2002 0.5432 0.9077 4 7 0.3346 6
## 2004 0.2935 0.6439 16 7 0.3346 6
## 2006 0.6388 0.3906 6 7 0.3346 6
## 2009 0.0000 0.5600 0 7 0.3346 6
## 2011 -0.9652 -0.6267 7 0 -6.3292 0
## 2018 -0.4410 0.7427 16 7 0.3346 6
## 2022 -0.0103 0.8130 8 7 0.3346 6
## 2030 -0.5300 0.1151 12 7 0.3346 6
## 2033 0.0000 0.4188 6 7 0.3346 6
## 2040 1.3100 1.3764 9 7 0.3346 6
## 2048 1.7444 1.6683 5 7 0.3346 6
## 2052 -0.5691 0.1085 0 5 -1.3642 5
## 2057 0.0119 -0.7424 0 6 -1.3642 5
## 2060 0.2801 0.7079 3 7 0.3346 6
## 2062 0.2150 0.1535 6 7 0.3346 6
## 2068 -0.4074 -0.6492 8 7 0.3346 6
## 2069 1.1271 1.0666 0 7 0.3346 6
## 2076 -1.1103 -2.9663 7 7 0.3346 6
## 2077 0.3000 0.7841 9 7 0.3346 6
## 2084 -1.1696 0.2230 0 6 -1.5285 5
## 2092 0.7564 0.9096 9 7 0.3346 6
## 2095 -0.3678 -0.9326 7 7 0.3346 6
## 2098 0.6087 1.0034 6 7 0.3346 6
## 2102 0.2329 0.2187 8 7 0.3346 6
## 2103 -0.3272 0.8283 2 5 0.3346 6
## 2104 0.7200 0.6780 4 7 0.3346 6
## 2108 -1.8369 -2.4489 6 7 0.3346 6
## 2116 -0.6230 0.1500 2 7 0.3346 6
## 2117 -0.7700 -1.2382 16 7 0.3346 6
## 2123 1.4786 1.5393 15 7 0.3346 6
## 2127 -0.5717 -0.8902 7 7 0.3346 6
## 2138 -1.0875 -1.8762 4 7 0.3346 6
## 2141 0.0800 0.9676 5 7 0.3346 6
## 2146 0.3413 0.7846 2 3 -3.9310 2
## 2147 0.3333 0.0535 5 3 -6.3292 0
## 2156 1.1249 -0.3216 11 7 0.3456 5
## 2157 0.5425 0.4600 0 7 0.3346 6
## 2159 -0.0040 0.5876 4 7 0.3346 6
## 2162 0.7772 0.9185 13 7 0.3346 6
## 2164 0.5128 0.1700 8 7 0.3346 6
## 2165 1.1416 1.2100 8 7 0.3346 6
## 2170 0.5000 0.3666 7 6 0.3346 6
## 2173 -0.9248 -1.7031 6 7 0.3346 6
## 2175 -1.1137 -2.5510 4 7 0.3346 6
## 2177 0.5875 0.9365 8 6 0.3346 6
## 2179 -0.1713 -0.7901 7 7 0.3346 6
## 2181 -0.0053 0.7003 12 6 0.3346 6
## 2183 0.2423 0.5255 8 7 0.3346 6
## 2184 -0.1294 0.5345 7 7 0.3346 6
## 2185 -0.7238 -0.1113 7 7 0.3346 6
## 2189 0.6807 0.8746 6 7 0.3346 6
## 2196 0.0948 0.6802 0 7 0.3346 6
## 2197 2.3586 1.9285 14 7 0.3346 6
## 2200 -1.2148 -3.0041 16 7 0.3346 6
## 2203 0.4325 -0.0922 8 7 0.3346 6
## 2205 0.3666 -1.3227 11 6 0.3346 6
## 2210 -0.3621 -0.5441 0 7 0.3346 6
## 2212 -0.1842 0.2000 5 7 0.3346 6
## 2216 0.5235 0.9235 10 7 0.3346 6
## 2218 -1.0901 -2.3720 2 7 -3.4251 3
## 2219 -0.3805 -0.4076 0 2 -3.6261 2
## 2223 0.2528 0.1359 8 7 0.3346 6
## 2231 0.0800 0.7590 2 7 0.3346 6
## 2233 2.1100 1.5139 6 7 0.3346 6
## 2239 0.6261 1.1133 1 7 0.3346 6
## 2241 -0.4744 -1.3609 3 7 0.3346 6
## 2252 0.0014 0.8487 7 5 -1.1300 3
## 2255 0.8676 1.1605 9 7 0.3346 6
## 2259 1.0566 0.3700 6 7 0.3346 6
## 2260 0.7537 0.2729 6 6 -1.1402 5
## 2262 0.8765 0.4001 12 7 0.3346 6
## 2268 -0.7380 -0.1017 8 7 0.3346 6
## 2272 -0.7012 -0.2681 7 7 0.3346 6
## 2274 1.1056 1.0885 0 6 0.3346 6
## 2275 -0.2652 -0.4203 7 6 -1.1402 5
## 2277 -0.6643 -1.1392 8 7 -1.3642 5
## 2278 -0.6823 -0.4157 11 7 0.3346 6
## 2281 0.0706 -0.7715 9 7 0.3346 6
## 2286 0.1964 0.6028 6 7 0.3346 6
## 2287 1.2851 1.3254 14 7 0.3346 6
## 2289 -0.9376 -0.9417 9 7 0.3346 6
## 2290 0.2293 0.8365 16 7 0.3346 6
## 2293 0.6570 1.0594 8 7 0.3346 6
## 2294 -0.5501 0.5064 10 7 0.3346 6
## 2295 0.6700 1.0727 12 7 0.3346 6
## 2296 -0.5829 0.2100 9 5 0.3346 6
## 2300 0.0385 -0.7874 10 6 -2.2168 4
## 2302 -0.3255 -1.1911 0 7 0.3346 6
## 2303 -0.8619 0.2582 4 7 0.3346 6
## 2304 0.8361 0.6094 14 6 0.3346 6
## 2308 -0.7450 -0.5204 3 3 -1.5118 5
## 2309 1.4259 0.7442 5 6 0.0308 5
## 2312 0.7290 0.9394 16 7 0.3346 6
## 2319 1.2617 1.4639 14 7 0.3346 6
## 2325 0.2683 0.1409 12 7 0.3346 6
## 2329 1.3829 1.4338 13 7 0.3346 6
## 2330 0.6313 1.1063 5 7 0.3346 6
## 2333 -0.4024 -0.2241 8 7 0.3346 6
## 2338 -0.8191 0.1406 6 7 0.3346 6
## 2339 1.3941 1.3751 11 7 0.3346 6
## 2342 1.5007 1.3374 13 7 0.3346 6
## 2343 1.8794 1.1845 0 7 0.3346 6
## 2344 0.4890 0.6772 16 7 0.3346 6
## 2351 1.9486 1.5360 13 6 -1.1402 5
## 2352 -0.2522 0.2802 8 7 0.3346 6
## 2357 0.9382 1.3021 8 7 0.3346 6
## 2363 2.1135 1.4147 16 6 0.3346 6
## 2365 1.1326 1.1573 0 7 0.3346 6
## 2373 0.3026 1.0577 2 6 0.3346 6
## 2374 0.3332 0.0144 0 7 0.3346 6
## 2381 -0.2486 0.0148 2 7 0.3346 6
## 2383 0.0835 0.8165 10 7 0.3346 6
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## 2391 -0.7360 -0.4137 7 7 0.3346 6
## 2394 -0.2444 -0.1441 10 7 0.3346 6
## 2398 0.5685 1.0889 3 7 -0.5144 4
## 2400 1.2792 1.2914 16 7 0.3346 6
## 2402 0.5372 1.1944 11 7 0.3346 6
## 2403 -0.7275 0.5158 14 7 0.3346 6
## 2405 0.8041 0.8623 8 6 -1.1402 5
## 2406 0.9442 1.1017 7 7 0.3346 6
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## 2412 -0.4200 -0.4070 9 7 0.3346 6
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## 2419 0.8696 -1.1665 7 7 0.3346 6
## 2420 1.3880 0.6592 7 7 0.3346 6
## 2423 -1.4104 -1.1542 8 6 0.3346 6
## 2427 0.2152 -0.1872 9 7 0.3346 6
## 2428 1.5613 1.2539 11 7 0.3346 6
## 2430 1.1419 0.3800 7 7 0.3346 6
## 2432 2.1026 1.5923 8 7 0.3346 6
## 2433 1.8302 1.5681 7 7 0.3346 6
## 2435 1.0870 1.4273 3 7 0.3346 6
## 2439 -0.7270 -1.2158 8 6 0.3346 6
## 2440 1.1928 1.3441 2 7 0.3346 6
## 2441 -1.6203 -1.2432 0 7 0.3346 6
## 2448 -0.2842 0.8465 16 7 0.3346 6
## 2449 1.0600 1.2618 14 7 0.3346 6
## 2450 0.6449 1.1120 2 7 0.3346 6
## 2453 0.2110 0.1518 9 6 -1.1402 5
## 2454 0.7943 0.8186 0 7 0.3346 6
## 2457 0.6335 0.7879 8 7 0.3346 6
## 2462 1.0809 1.4247 9 6 0.3346 6
## 2467 0.4900 1.1608 10 7 0.3346 6
## 2470 0.0593 -1.9320 11 7 0.3346 6
## 2476 1.0349 1.3070 9 7 0.3346 6
## 2477 -0.3433 -0.0253 3 7 0.3346 6
## 2478 -0.8500 0.0047 6 7 -3.1069 3
## 2480 1.4522 1.3961 4 7 0.3346 6
## 2483 0.7602 0.9452 0 7 0.3346 6
## 2484 0.1281 0.5739 9 7 0.3346 6
## 2490 -1.2382 -1.7700 3 7 0.3346 6
## 2494 1.1833 1.0904 7 7 0.3346 6
## 2497 0.2179 0.9036 4 7 0.3346 6
## 2502 1.6729 1.6133 9 7 0.3346 6
## 2504 0.3117 0.8684 2 7 0.3346 6
## 2505 0.8347 0.8160 15 6 -1.1402 5
## 2513 0.0533 -0.2304 4 7 0.3346 6
## 2519 -0.5167 -0.7757 3 7 0.3346 6
## 2522 -0.0115 -0.1622 4 7 0.3346 6
## 2527 -1.3407 -1.4257 3 7 0.3346 6
## 2528 0.6474 -0.1100 4 7 0.3346 6
## 2529 0.9165 1.0282 8 7 0.3346 6
## 2534 0.7875 1.0792 10 6 -4.7013 1
## 2537 -0.1544 -0.5033 9 7 0.3346 6
## 2540 1.2453 1.1947 5 7 0.3346 6
## 2544 0.2904 -0.0344 9 7 0.3346 6
## 2547 1.1524 1.2245 7 7 0.3346 6
## 2550 -0.5702 0.3478 6 7 0.3346 6
## 2551 2.1459 1.4100 4 7 0.3346 6
## 2563 0.7104 -0.1652 1 7 0.3346 6
## 2564 -0.8965 -0.8614 3 7 0.3346 6
## 2565 0.6237 0.8855 8 6 -1.1402 5
## 2566 -0.6828 -1.1470 5 6 -1.3642 5
## 2567 0.1638 0.4200 8 7 0.3346 6
## 2569 -0.7700 -0.5261 4 0 -4.7013 1
## 2577 0.4405 0.2280 7 7 0.3346 6
## 2578 0.1003 -0.4410 8 7 0.3346 6
## 2580 1.6412 1.6246 9 7 0.3346 6
## 2581 3.0471 2.2201 16 7 0.3346 6
## 2583 -1.3404 0.0724 8 7 0.3346 6
## 2588 -0.1800 0.6590 9 7 0.3346 6
## 2589 0.8338 1.0550 16 7 0.3346 6
## 2593 1.3919 1.3259 8 7 0.3346 6
## 2595 0.3553 0.7300 8 6 -3.2066 3
## 2597 -0.1706 0.5170 12 7 0.3346 6
## 2599 0.3931 0.8337 8 5 -1.3642 5
## 2602 0.3227 0.7259 4 6 -1.1402 5
## 2603 0.5108 -0.6415 10 6 0.3346 6
## 2604 1.9190 1.4020 5 7 0.3346 6
## 2612 -0.3714 -1.1302 5 7 0.3346 6
## 2613 -0.1029 0.5457 5 7 0.3346 6
## 2615 0.2011 0.4535 6 5 0.3346 6
## 2616 0.6233 1.1121 9 6 0.3346 6
## 2620 0.0103 -0.8905 10 7 0.3346 6
## 2626 -0.1823 0.5154 11 7 0.3346 6
## 2628 0.5380 0.8171 8 6 -1.1402 5
## 2631 0.2200 -0.9603 6 7 0.3346 6
## 2634 -0.0878 0.4405 5 7 0.3346 6
## 2635 0.8784 0.6794 15 7 0.3346 6
## 2638 1.9194 1.4022 4 7 0.3346 6
## 2645 0.4160 0.1100 9 7 0.3346 6
## 2647 0.3258 0.6081 0 7 0.3346 6
## 2648 -0.3645 -1.0015 0 7 0.3346 6
## 2650 -0.8138 0.3917 2 7 0.3346 6
## 2652 0.8681 0.7772 12 7 0.3346 6
## 2656 1.1622 0.8586 10 2 -4.0634 2
## 2661 0.2868 0.0846 7 7 0.3346 6
## 2664 1.3350 1.0871 6 7 0.3346 6
## 2665 -0.7931 0.2874 4 7 0.3346 6
## 2669 -0.8200 -0.6013 6 7 0.3346 6
## 2671 1.1749 0.4607 5 7 0.3346 6
## 2676 0.6538 1.0300 15 7 0.3346 6
## 2678 0.8800 1.0945 16 7 0.3346 6
## 2683 -0.3383 0.4460 7 7 0.3346 6
## 2684 -0.5633 -0.9371 0 7 0.3346 6
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## 2689 -0.8143 0.4751 9 7 -1.1402 5
## 2690 0.8706 0.0788 9 7 0.3346 6
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## 2702 0.0558 0.3928 5 6 0.3346 6
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## 2705 0.8081 1.1904 11 7 0.3346 6
## 2706 -0.0537 0.6173 2 7 -1.5118 5
## 2711 1.0284 0.8585 14 7 0.3346 6
## 2712 0.4100 0.7310 5 7 0.3346 6
## 2715 0.2627 1.0408 10 7 0.3346 6
## 2722 0.5060 0.6844 5 7 0.3346 6
## 2727 1.3063 0.5126 13 6 0.3346 6
## 2730 0.1817 0.7546 4 7 0.3346 6
## 2731 -0.8500 0.1101 4 6 0.3346 6
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## 2740 0.3380 0.9278 7 6 0.3346 6
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## 2749 1.2792 0.8900 8 6 -1.5315 5
## 2751 1.5115 0.5191 7 7 0.3346 6
## 2754 -0.8228 -1.1100 0 7 0.3346 6
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## 2761 -0.0100 -0.1686 1 7 0.3346 6
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## 2793 -1.0163 -0.7566 15 7 0.2630 5
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## 2802 -0.0332 0.5076 8 7 0.3346 6
## 2805 -0.0107 0.6355 14 7 0.3346 6
## 2807 0.0528 0.6456 7 7 0.3346 6
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## 2812 0.0889 0.5614 11 7 0.3346 6
## 2813 1.0657 0.5138 2 7 0.3346 6
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## 2827 2.1518 0.5245 7 7 0.3346 6
## 2830 1.1644 1.3900 15 7 0.3346 6
## 2831 0.5551 0.5642 0 7 0.3346 6
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## 4108 -0.0300 -0.6629 0 7 0.0800 5
## 4110 1.0337 1.3673 3 7 0.3346 6
## 4114 0.9432 0.2559 3 7 0.3346 6
## 4115 0.8112 0.9329 12 5 -1.1402 5
## 4119 0.0854 0.7059 12 7 0.3346 6
## 4122 -0.8142 -0.0792 5 6 0.3346 6
## 4124 -0.7253 -0.5300 7 5 -1.1402 5
## 4127 -0.3324 -1.1942 10 7 0.3346 6
## 4129 -0.3382 -1.5460 5 7 0.3346 6
## 4132 1.7742 1.6562 11 7 0.3346 6
## 4133 0.5277 0.0118 12 7 0.3346 6
## 4135 0.5844 0.3900 8 6 -1.1402 5
## 4142 1.0960 0.2291 5 6 0.3346 6
## 4144 1.0828 0.3644 13 7 0.3346 6
## 4145 0.6118 0.8053 7 7 0.3346 6
## 4146 1.0631 1.0705 12 7 0.3346 6
## 4147 -0.7275 -0.4348 0 5 0.1677 3
## 4149 0.7933 0.0364 6 7 -2.5935 4
## 4150 0.2373 1.0300 10 6 0.3346 6
## 4152 2.5114 1.8030 4 7 0.3346 6
## 4155 -0.8363 -1.9373 2 7 0.3346 6
## 4156 1.2128 1.2313 1 7 0.3346 6
## 4157 -0.6196 -0.8818 7 7 0.3346 6
## 4160 -0.2394 0.8655 10 5 0.3346 6
## 4162 0.4166 -0.1193 2 7 0.3346 6
## 4164 -0.7200 -1.1029 8 6 0.3346 6
## 4166 -0.9091 -0.1460 7 6 0.3346 6
## 4167 -0.6231 0.3762 0 6 -2.0937 4
## 4168 1.2674 1.2244 6 7 0.3346 6
## 4170 0.7100 0.0436 14 7 0.3346 6
## 4179 0.3840 0.4000 8 6 -1.1402 5
## 4181 -0.3394 -1.9066 4 7 0.3346 6
## 4186 -1.3929 -1.5116 0 7 0.3346 6
## 4192 -2.0286 -0.0615 0 7 0.3346 6
## 4197 -0.7402 0.2758 1 7 0.3346 6
## 4202 1.2161 1.1457 10 7 0.3346 6
## 4205 0.8573 1.0407 7 7 0.3346 6
## 4208 0.3145 0.8600 15 5 -2.2168 4
## 4210 0.3145 0.8509 11 7 0.3346 6
## 4214 2.1835 1.5648 10 0 -6.3292 0
## 4222 -0.4373 0.1502 6 6 -1.1402 5
## 4226 0.4706 0.7210 9 7 0.3346 6
## 4232 -0.5112 -0.3854 6 7 0.3346 6
## 4234 -0.3692 0.7567 6 5 0.3346 6
## 4235 -0.7189 0.0309 12 7 0.3346 6
## 4236 -0.7179 -0.2327 9 7 0.3346 6
## 4238 0.1892 -2.3647 6 7 0.3346 6
## 4239 -0.8091 -0.7540 0 7 0.3346 6
## 4241 0.0876 0.4127 14 7 0.3346 6
## 4246 -0.9371 -0.0615 9 7 0.3346 6
## 4247 1.0242 1.0231 4 7 0.3346 6
## 4248 0.2836 1.0496 16 7 0.3346 6
## 4252 0.0808 0.6743 2 7 0.3346 6
## 4254 -0.7330 -0.7526 11 7 0.3346 6
## 4259 1.3412 1.0877 0 7 0.3346 6
## 4260 0.1284 0.6776 10 7 0.3346 6
## 4262 1.1393 1.3214 16 6 0.3346 6
## 4264 0.7919 0.1780 2 7 0.3346 6
## 4266 0.8237 0.8927 5 7 0.3346 6
## 4269 0.4148 0.5642 1 7 0.3346 6
## 4271 1.2705 0.4814 0 7 0.3346 6
## 4275 0.7605 0.9300 10 7 0.3346 6
## 4283 -0.2881 0.2642 4 6 0.3346 6
## 4286 0.7527 0.2819 11 7 0.3346 6
## 4287 0.7564 0.7600 5 7 0.3346 6
## 4289 0.3200 0.8760 10 7 0.3346 6
## 4291 -0.0857 0.7484 16 6 -1.1402 5
## 4293 0.6305 -0.1443 8 6 0.3346 6
## 4297 2.1690 1.7033 8 7 0.3346 6
## 4302 0.6243 0.2800 14 6 0.3346 6
## 4303 -0.0592 0.0038 4 7 0.3346 6
## 4304 0.4140 0.8630 0 7 0.3346 6
## 4306 0.5379 1.1175 7 7 0.3346 6
## 4309 0.2504 0.4415 5 7 0.3346 6
## 4310 0.2006 0.3700 10 7 0.3346 6
## 4312 0.0605 -0.0448 15 7 0.3346 6
## 4314 0.8240 0.6168 4 7 -1.8457 5
## 4324 0.1200 0.6036 0 7 0.3346 6
## 4328 0.0416 0.6069 5 6 -1.1402 5
## 4331 -0.2717 0.2720 0 7 0.3346 6
## 4333 1.1360 1.2622 15 6 -1.1402 5
## 4334 -0.8464 -0.6125 13 7 0.3346 6
## 4337 -0.2843 0.2658 1 7 0.3346 6
## 4339 0.4442 0.8924 12 7 0.3346 6
## 4340 -0.3126 -0.1206 6 6 -1.1402 5
## 4341 -0.2872 0.4710 7 1 -3.3252 3
## 4342 -0.1809 -0.1379 5 7 0.3346 6
## 4345 0.0000 1.1555 13 7 0.3346 6
## 4350 -0.2900 0.6102 11 7 0.3346 6
## 4352 -0.0524 0.7570 11 7 0.3346 6
## 4355 -0.5033 -1.1080 7 5 -1.1402 5
## 4358 0.4900 0.2145 5 7 0.3346 6
## 4362 0.2353 -0.3851 2 5 -1.1402 5
## 4366 0.0641 -0.3969 16 7 0.3346 6
## 4370 0.2302 0.6192 2 7 0.3346 6
## 4373 0.1167 -1.0144 0 7 0.3346 6
## 4374 0.1707 0.6616 8 7 0.3346 6
## 4375 0.6857 0.8142 6 7 0.3346 6
## 4376 -0.5603 0.4000 5 7 0.3346 6
## 4378 0.7640 0.9648 7 7 0.2630 5
## 4380 1.2700 1.3533 8 7 0.3346 6
## 4385 -0.3022 0.3421 8 5 0.3346 6
## 4386 2.4096 1.7223 15 7 0.3346 6
## 4387 0.6850 0.7603 7 5 0.3346 6
## 4390 1.7587 1.3651 12 5 0.3346 6
## 4391 0.6500 1.0071 6 7 0.3346 6
## 4392 0.7931 0.5885 9 7 0.3346 6
## 4393 0.9092 1.0727 13 7 0.3346 6
## 4395 0.2457 0.7917 4 7 0.3346 6
## 4396 0.2936 0.1262 0 7 0.3456 5
## 4398 -0.5609 -0.3375 7 7 0.3346 6
## 4402 -0.5480 -0.6434 8 7 0.3346 6
## 4407 0.5550 0.2900 12 7 0.3346 6
## 4408 0.6166 0.0071 9 7 0.3346 6
## 4414 2.5453 1.7700 6 7 0.3346 6
## 4416 -0.0736 0.4905 7 7 0.3346 6
## 4417 1.2800 -0.1060 16 7 0.3346 6
## 4418 0.2067 0.8686 9 7 0.3346 6
## 4419 -0.0260 -0.2650 4 6 0.3346 6
## 4430 0.3200 0.6593 10 6 -1.1402 5
## 4432 -0.3272 -0.5051 8 7 0.3346 6
## 4433 1.0732 -0.4010 8 7 -1.8457 5
## 4434 -0.0127 0.2591 11 7 0.3346 6
## 4437 1.7008 1.5494 6 7 0.3346 6
## 4439 1.7114 1.6543 11 0 -6.3292 0
## 4443 0.5004 1.0601 14 7 0.3346 6
## 4444 0.9231 0.9163 5 7 0.3346 6
## 4451 -0.0613 0.5735 13 7 0.3346 6
## 4452 -0.7063 0.4193 6 5 0.3346 6
## 4460 0.1444 0.7178 10 7 0.3346 6
## 4462 0.6566 0.9181 8 7 0.3346 6
## 4466 0.6620 0.6674 12 7 0.3346 6
## 4467 0.3896 -0.3713 0 7 0.3346 6
## 4472 1.8019 1.5443 14 7 0.3346 6
## 4485 0.9490 0.9100 5 7 0.3346 6
## 4486 0.4730 0.6704 10 7 0.3346 6
## 4491 1.2600 1.4782 0 7 0.3346 6
## 4492 -0.5902 -0.6238 2 7 0.3346 6
## 4493 -0.1682 0.5718 11 7 0.3346 6
## 4496 1.2592 1.1566 0 7 0.3346 6
## 4497 1.1396 0.7783 9 7 0.3346 6
## 4499 -0.3061 0.6067 2 7 0.3346 6
## 4500 1.5585 1.4000 1 7 0.3346 6
## 4502 0.6700 1.1446 12 7 0.3346 6
## 4503 0.6666 0.9205 7 7 0.3346 6
## 4504 -0.2785 -0.4514 4 5 0.3346 6
## 4505 0.8823 1.0613 11 7 0.3346 6
## 4506 -1.4891 0.0736 9 5 -1.6481 4
## 4511 0.0053 0.4848 8 7 0.3346 6
## 4516 -0.2825 0.4696 8 7 0.3346 6
## 4517 -0.9665 -0.0208 6 7 0.3346 6
## 4518 0.2048 0.1492 3 7 0.3346 6
## 4519 -0.2258 0.2265 10 7 -2.6000 4
## 4521 0.2358 0.5700 5 6 -1.1402 5
## 4522 -1.0389 0.3577 0 7 0.3346 6
## 4529 1.5668 1.2529 9 7 0.3346 6
## 4530 2.1123 1.7428 15 6 0.3346 6
## 4532 -1.2218 -0.4030 7 7 0.3346 6
## 4535 0.7940 1.2658 6 7 0.3346 6
## 4547 -0.2706 -0.0857 6 7 0.3346 6
## 4550 0.6006 0.8850 7 7 0.3346 6
## 4552 1.4200 1.1252 8 7 0.3346 6Veri Atamaya Dayali Yontemler
Ortalama ile Atama
- Kayip degerleri → degiskenin ORTALAMASI ile doldurma:
USA3 <- USA
USA3$IMMIG[is.na(USA3$IMMIG)] <- mean(USA3$IMMIG, na.rm=T)
summary(USA3$IMMIG) # minimum, ceyreklikler, medyan, ortalama ve maksimum degerler## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 1.000 1.000 1.284 1.284 3.000## [1] 0.5522986DONGU ile Ortalama Atama
- Birden fazla degisken icin kayip degerleri ORTALAMA ile doldurma:
USA4 <- USA[,21:23]
for(i in 1:ncol(USA4)){
USA4[ , i][is.na(USA4[ , i])] <- mean(USA4[ , i], na.rm = T)
}
any_na(USA4) # FALSE## [1] FALSEapply() fonksiyonu ile:
USA5 <- USA[, 21:23]
USA5 <- apply(USA5, 2, function(x) ifelse(is.na(x), mean(x, na.rm = T), x))
USA5 <- as.data.frame(USA5)
any_na(USA5) # FALSE## [1] FALSETRANSFORM Fonksiyonu ile Atama
- TRANSFORM fonksiyonunu kullanarak kayip degerleri ORTALAMA ile doldurma:
USA6 <- USA
USA6 = mutate(USA6, IMMIG = ifelse(is.na(IMMIG), mean(IMMIG, na.rm=T), IMMIG))
summary(USA6)## CNT CNTSTUID AGE GRADE
## Length:4552 Min. :84000002 Min. :15.33 Min. :-2.00000
## Class :character 1st Qu.:84002087 1st Qu.:15.58 1st Qu.: 0.00000
## Mode :character Median :84004102 Median :15.83 Median : 0.00000
## Mean :84004088 Mean :15.83 Mean : 0.09183
## 3rd Qu.:84006118 3rd Qu.:16.08 3rd Qu.: 0.00000
## Max. :84008157 Max. :16.33 Max. : 2.00000
##
## IMMIG LANGN REPEAT MISSSC
## Min. :1.000 Min. :156.0 Min. :0.00000 Min. :0.0000
## 1st Qu.:1.000 1st Qu.:313.0 1st Qu.:0.00000 1st Qu.:0.0000
## Median :1.000 Median :313.0 Median :0.00000 Median :0.0000
## Mean :1.284 Mean :314.6 Mean :0.08077 Mean :0.0665
## 3rd Qu.:1.284 3rd Qu.:313.0 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :3.000 Max. :859.0 Max. :1.00000 Max. :1.0000
## NA's :208 NA's :256 NA's :448
## SKIPPING TARDYSD EXERPRAC STUDYHMW
## Min. :0.0000 Min. :0.00 Min. : 0.000 Min. : 0.000
## 1st Qu.:0.0000 1st Qu.:0.00 1st Qu.: 1.000 1st Qu.: 2.000
## Median :0.0000 Median :0.00 Median : 5.000 Median : 4.000
## Mean :0.3713 Mean :0.58 Mean : 4.562 Mean : 4.505
## 3rd Qu.:1.0000 3rd Qu.:1.00 3rd Qu.: 8.000 3rd Qu.: 6.000
## Max. :1.0000 Max. :2.00 Max. :10.000 Max. :10.000
## NA's :254 NA's :264 NA's :469 NA's :468
## WORKPAY WORKHOME EXPECEDU MATHPREF
## Min. : 0.000 Min. : 0.000 Min. :2.000 Min. :0.000
## 1st Qu.: 0.000 1st Qu.: 1.000 1st Qu.:5.000 1st Qu.:0.000
## Median : 0.000 Median : 4.000 Median :7.000 Median :0.000
## Mean : 1.381 Mean : 4.337 Mean :6.796 Mean :0.162
## 3rd Qu.: 2.000 3rd Qu.: 7.000 3rd Qu.:8.000 3rd Qu.:0.000
## Max. :10.000 Max. :10.000 Max. :9.000 Max. :1.000
## NA's :476 NA's :475 NA's :660 NA's :540
## MATHEASE MATHMOT DURECEC SISCO
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:2.000 1st Qu.:1.0000
## Median :0.0000 Median :0.0000 Median :2.000 Median :1.0000
## Mean :0.1253 Mean :0.0312 Mean :2.235 Mean :0.8116
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:3.000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :8.000 Max. :1.0000
## NA's :554 NA's :542 NA's :2149 NA's :694
## MISCED FISCED HISCED PAREDINT
## Min. : 1.000 Min. : 1.000 Min. : 1.000 Min. : 3.00
## 1st Qu.: 5.000 1st Qu.: 5.000 1st Qu.: 5.000 1st Qu.:12.00
## Median : 7.000 Median : 6.000 Median : 8.000 Median :16.00
## Mean : 6.732 Mean : 6.294 Mean : 7.168 Mean :13.81
## 3rd Qu.: 9.000 3rd Qu.: 8.000 3rd Qu.: 9.000 3rd Qu.:16.00
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :16.00
## NA's :243 NA's :323 NA's :223
## BMMJ1 BFMJ2 HISEI ICTRES
## Min. :11.01 Min. :11.01 Min. :11.01 Min. :-5.0283
## 1st Qu.:25.06 1st Qu.:25.26 1st Qu.:31.08 1st Qu.:-0.3925
## Median :53.15 Median :38.69 Median :60.29 Median : 0.2014
## Mean :49.22 Mean :45.52 Mean :54.80 Mean : 0.2099
## 3rd Qu.:68.70 3rd Qu.:66.42 3rd Qu.:73.91 3rd Qu.: 0.7885
## Max. :88.70 Max. :88.96 Max. :88.96 Max. : 5.1744
## NA's :776 NA's :1126 NA's :500 NA's :185
## HOMEPOS ESCS FCFMLRTY ICTAVSCH
## Min. :-6.56710 Min. :-3.60190 Min. : 0.00 Min. :0.000
## 1st Qu.:-0.48128 1st Qu.:-0.61438 1st Qu.: 3.00 1st Qu.:7.000
## Median : 0.07955 Median : 0.15250 Median : 7.00 Median :7.000
## Mean : 0.11415 Mean : 0.04072 Mean : 6.65 Mean :6.616
## 3rd Qu.: 0.69922 3rd Qu.: 0.79292 3rd Qu.:10.00 3rd Qu.:7.000
## Max. : 7.45710 Max. : 3.52730 Max. :16.00 Max. :7.000
## NA's :182 NA's :210 NA's :500 NA's :543
## ICTHOME ICTAVHOM
## Min. :-6.3292 Min. :0.000
## 1st Qu.: 0.3346 1st Qu.:6.000
## Median : 0.3346 Median :6.000
## Mean : 0.0262 Mean :5.714
## 3rd Qu.: 0.3346 3rd Qu.:6.000
## Max. : 0.3456 Max. :6.000
## NA's :607 NA's :591- dplyr paketinde → mutate fonksiyonu ile:
## CNT CNTSTUID AGE GRADE
## Length:4552 Min. :84000002 Min. :15.33 Min. :-2.00000
## Class :character 1st Qu.:84002087 1st Qu.:15.58 1st Qu.: 0.00000
## Mode :character Median :84004102 Median :15.83 Median : 0.00000
## Mean :84004088 Mean :15.83 Mean : 0.09183
## 3rd Qu.:84006118 3rd Qu.:16.08 3rd Qu.: 0.00000
## Max. :84008157 Max. :16.33 Max. : 2.00000
##
## IMMIG LANGN REPEAT MISSSC
## Min. :1.000 Min. :156.0 Min. :0.00000 Min. :0.0000
## 1st Qu.:1.000 1st Qu.:313.0 1st Qu.:0.00000 1st Qu.:0.0000
## Median :1.000 Median :313.0 Median :0.00000 Median :0.0000
## Mean :1.284 Mean :314.6 Mean :0.08077 Mean :0.0665
## 3rd Qu.:1.284 3rd Qu.:313.0 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :3.000 Max. :859.0 Max. :1.00000 Max. :1.0000
## NA's :208 NA's :256 NA's :448
## SKIPPING TARDYSD EXERPRAC STUDYHMW
## Min. :0.0000 Min. :0.00 Min. : 0.000 Min. : 0.000
## 1st Qu.:0.0000 1st Qu.:0.00 1st Qu.: 1.000 1st Qu.: 2.000
## Median :0.0000 Median :0.00 Median : 5.000 Median : 4.000
## Mean :0.3713 Mean :0.58 Mean : 4.562 Mean : 4.505
## 3rd Qu.:1.0000 3rd Qu.:1.00 3rd Qu.: 8.000 3rd Qu.: 6.000
## Max. :1.0000 Max. :2.00 Max. :10.000 Max. :10.000
## NA's :254 NA's :264 NA's :469 NA's :468
## WORKPAY WORKHOME EXPECEDU MATHPREF
## Min. : 0.000 Min. : 0.000 Min. :2.000 Min. :0.000
## 1st Qu.: 0.000 1st Qu.: 1.000 1st Qu.:5.000 1st Qu.:0.000
## Median : 0.000 Median : 4.000 Median :7.000 Median :0.000
## Mean : 1.381 Mean : 4.337 Mean :6.796 Mean :0.162
## 3rd Qu.: 2.000 3rd Qu.: 7.000 3rd Qu.:8.000 3rd Qu.:0.000
## Max. :10.000 Max. :10.000 Max. :9.000 Max. :1.000
## NA's :476 NA's :475 NA's :660 NA's :540
## MATHEASE MATHMOT DURECEC SISCO
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:2.000 1st Qu.:1.0000
## Median :0.0000 Median :0.0000 Median :2.000 Median :1.0000
## Mean :0.1253 Mean :0.0312 Mean :2.235 Mean :0.8116
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:3.000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :8.000 Max. :1.0000
## NA's :554 NA's :542 NA's :2149 NA's :694
## MISCED FISCED HISCED PAREDINT
## Min. : 1.000 Min. : 1.000 Min. : 1.000 Min. : 3.00
## 1st Qu.: 5.000 1st Qu.: 5.000 1st Qu.: 5.000 1st Qu.:12.00
## Median : 7.000 Median : 6.000 Median : 8.000 Median :16.00
## Mean : 6.732 Mean : 6.294 Mean : 7.168 Mean :13.81
## 3rd Qu.: 9.000 3rd Qu.: 8.000 3rd Qu.: 9.000 3rd Qu.:16.00
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :16.00
## NA's :243 NA's :323 NA's :223
## BMMJ1 BFMJ2 HISEI ICTRES
## Min. :11.01 Min. :11.01 Min. :11.01 Min. :-5.0283
## 1st Qu.:25.06 1st Qu.:25.26 1st Qu.:31.08 1st Qu.:-0.3925
## Median :53.15 Median :38.69 Median :60.29 Median : 0.2014
## Mean :49.22 Mean :45.52 Mean :54.80 Mean : 0.2099
## 3rd Qu.:68.70 3rd Qu.:66.42 3rd Qu.:73.91 3rd Qu.: 0.7885
## Max. :88.70 Max. :88.96 Max. :88.96 Max. : 5.1744
## NA's :776 NA's :1126 NA's :500 NA's :185
## HOMEPOS ESCS FCFMLRTY ICTAVSCH
## Min. :-6.56710 Min. :-3.60190 Min. : 0.00 Min. :0.000
## 1st Qu.:-0.48128 1st Qu.:-0.61438 1st Qu.: 3.00 1st Qu.:7.000
## Median : 0.07955 Median : 0.15250 Median : 7.00 Median :7.000
## Mean : 0.11415 Mean : 0.04072 Mean : 6.65 Mean :6.616
## 3rd Qu.: 0.69922 3rd Qu.: 0.79292 3rd Qu.:10.00 3rd Qu.:7.000
## Max. : 7.45710 Max. : 3.52730 Max. :16.00 Max. :7.000
## NA's :182 NA's :210 NA's :500 NA's :543
## ICTHOME ICTAVHOM
## Min. :-6.3292 Min. :0.000
## 1st Qu.: 0.3346 1st Qu.:6.000
## Median : 0.3346 Median :6.000
## Mean : 0.0262 Mean :5.714
## 3rd Qu.: 0.3346 3rd Qu.:6.000
## Max. : 0.3456 Max. :6.000
## NA's :607 NA's :591Model Tabanli Yontemler
EM Algoritmasi:
- USA verisinin icerisinden 3 degisken secerek USA_subset verisi olusturma:
## FISCED MISCED HISCED
## 1 9 7 9
## 2 6 6 6
## 3 9 9 9
## 4 3 5 5
## 5 5 5 5
## 6 3 10 10library(mvdalab)
USA_subset_datasi <- introNAs(USA_subset, percent = 25)
USA_subset_datasi_EM <- imputeEM(USA_subset_datasi)
USA_subset_datasi_EM
## FISCED MISCED HISCED
## 1 9.000000 7.0000000 8.406484
## 2 6.000000 5.1960066 6.000000
## 3 9.000000 9.0000000 9.000000
## 4 3.000000 5.0000000 5.000000
## 5 5.000000 6.9797825 6.845870
## 6 7.921844 9.9183019 10.000000
## 7 10.000000 8.7415158 10.000000
## 8 8.000000 9.0000000 9.000000
## 9 10.000000 10.0000000 10.856927
## 10 9.000000 8.0000000 9.000000
## 11 8.000000 6.9687612 8.000000
## 12 5.000000 5.0000000 5.000000
## 13 7.000000 6.0000000 6.944672
## 14 10.000000 10.0000000 10.000000
## 15 6.309214 6.7298280 7.179851
## 16 9.000000 9.0000000 9.000000
## 17 8.000000 6.9687612 8.000000
## 18 6.309214 6.7298280 7.179851
## 19 3.000000 7.0000000 7.000000
## 20 7.000000 7.5321504 8.000000
## 21 3.000000 3.0000000 3.333232
## 22 3.000000 6.8861740 6.000000
## 23 5.000000 8.0000000 7.546305
## 24 4.125704 5.0000000 5.000000
## 25 8.000000 5.0000000 8.000000
## 26 7.000000 5.0000000 7.000000
## 27 5.773646 9.0000000 8.533305
## 28 6.309214 6.7298280 7.179851
## 29 3.000000 7.3616226 6.335783
## 30 6.000000 8.0000000 8.000000
## 31 5.000000 8.0000000 8.000000
## 32 6.717690 5.0000000 6.148084
## 33 7.761655 7.0000000 8.000000
## 34 6.717690 5.0000000 6.148084
## 35 6.845330 9.0000000 9.000000
## 36 3.000000 11.2354734 9.000000
## 37 9.000000 2.0000000 9.000000
## 38 1.000000 2.0000000 2.000000
## 39 8.000000 8.0000000 8.000000
## 40 7.000000 8.0000000 8.000000
## 41 3.000000 7.3616226 6.335783
## 42 1.000000 0.7641200 1.000000
## 43 5.000000 6.0000000 6.000000
## 44 5.000000 8.6589286 8.000000
## 45 7.000000 8.0000000 8.000000
## 46 7.525237 10.0000000 10.000000
## 47 9.000000 9.0000000 9.000000
## 48 9.000000 9.3049050 10.000000
## 49 6.717690 5.0000000 6.148084
## 50 5.485517 7.0000000 7.000000
## 51 9.000000 6.2161021 7.866042
## 52 9.000000 8.0000000 9.000000
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## 4285 8.000000 9.0000000 9.000000
## 4286 5.000000 5.0000000 5.000000
## 4287 6.778816 7.6578731 8.000000
## 4288 8.000000 8.0000000 8.000000
## 4289 5.000000 9.0000000 9.000000
## 4290 2.778218 -0.2536277 1.000000
## 4291 9.000000 5.0000000 7.030854
## 4292 5.000000 6.9797825 6.845870
## 4293 5.000000 4.3096293 5.000000
## 4294 7.350330 8.7880875 9.000000
## 4295 5.000000 1.0000000 5.000000
## 4296 10.000000 10.0000000 10.000000
## 4297 9.000000 7.8551385 9.000000
## 4298 6.309214 6.7298280 7.179851
## 4299 8.000000 8.0000000 8.707300
## 4300 6.778816 7.6578731 8.000000
## 4301 6.309214 6.7298280 7.179851
## 4302 8.441561 8.0000000 9.000000
## 4303 6.009657 8.0000000 7.937000
## 4304 5.000000 8.6589286 8.000000
## 4305 3.000000 9.7857069 8.000000
## 4306 8.000000 9.0000000 9.000000
## 4307 6.245668 7.0000000 7.340695
## 4308 8.000000 8.0000000 8.000000
## 4309 7.000000 5.0000000 6.256857
## 4310 8.000000 8.0000000 8.000000
## 4311 6.165424 8.0000000 8.000000
## 4312 10.000000 5.0000000 10.000000
## 4313 6.000000 6.0000000 6.000000
## 4314 6.207302 6.5276587 7.000000
## 4315 8.000000 8.0000000 8.000000
## 4316 7.350330 8.7880875 9.000000
## 4317 8.000000 6.4070222 7.610999
## 4318 3.000000 3.0000000 3.333232
## 4319 5.000000 5.0000000 5.482859
## 4320 8.000000 9.0000000 9.000000
## 4321 7.000000 6.0823839 7.000000
## 4322 8.000000 8.0000000 8.000000
## 4323 6.309214 6.7298280 7.179851
## 4324 6.717690 5.0000000 6.148084
## 4325 7.350330 8.7880875 9.000000
## 4326 6.000000 6.7888624 7.100913
## 4327 5.000000 5.0000000 5.000000
## 4328 6.000000 9.0000000 8.621118
## 4329 6.309214 6.7298280 7.179851
## 4330 7.000000 7.0000000 7.632487
## 4331 5.000000 9.0000000 8.234120
## 4332 8.000000 5.0000000 6.643855
## 4333 8.000000 8.0000000 8.707300
## 4334 6.000000 5.1960066 6.000000
## 4335 5.000000 5.0000000 5.482859
## 4336 3.000000 3.0000000 3.000000
## 4337 5.485517 7.0000000 7.000000
## 4338 2.000000 9.0000000 9.000000
## 4339 6.009657 8.0000000 7.937000
## 4340 7.000000 6.0823839 7.000000
## 4341 5.000000 9.0000000 8.234120
## 4342 5.000000 5.0000000 5.482859
## 4343 8.000000 5.0000000 6.643855
## 4344 3.000000 7.3616226 6.335783
## 4345 5.773646 9.0000000 8.533305
## 4346 4.805611 6.0000000 6.000000
## 4347 4.805611 6.0000000 6.000000
## 4348 5.000000 5.0000000 5.482859
## 4349 9.000000 7.8551385 9.000000
## 4350 9.000000 7.8551385 9.000000
## 4351 4.125704 5.0000000 5.000000
## 4352 7.525237 10.0000000 10.000000
## 4353 8.441561 8.0000000 9.000000
## 4354 5.064274 4.2672299 5.000000
## 4355 5.064274 4.2672299 5.000000
## 4356 6.309214 6.7298280 7.179851
## 4357 14.146579 3.0000000 8.000000
## 4358 5.064274 4.2672299 5.000000
## 4359 5.000000 5.0000000 5.000000
## 4360 4.125704 5.0000000 5.000000
## 4361 5.000000 5.0000000 5.000000
## 4362 6.207302 6.5276587 7.000000
## 4363 7.921844 9.9183019 10.000000
## 4364 8.000000 8.0000000 8.000000
## 4365 9.000000 6.0000000 7.718669
## 4366 6.207302 6.5276587 7.000000
## 4367 4.805611 6.0000000 6.000000
## 4368 4.125704 5.0000000 5.000000
## 4369 7.000000 6.5979423 7.355956
## 4370 9.000000 5.0000000 9.000000
## 4371 6.309214 6.7298280 7.179851
## 4372 7.000000 9.0000000 9.000000
## 4373 5.000000 5.0000000 5.482859
## 4374 7.000000 9.0000000 9.000000
## 4375 5.000000 8.0000000 8.000000
## 4376 5.000000 9.0000000 9.000000
## 4377 7.189713 3.0000000 4.955474
## 4378 10.000000 8.7415158 10.000000
## 4379 6.717690 5.0000000 6.148084
## 4380 9.000000 8.0000000 9.000000
## 4381 3.000000 11.2354734 9.000000
## 4382 10.000000 6.0251820 8.121085
## 4383 9.000000 7.8551385 9.000000
## 4384 6.000000 10.0000000 10.000000
## 4385 6.165424 8.0000000 8.000000
## 4386 6.845330 9.0000000 9.000000
## 4387 8.000000 7.0000000 8.000000
## 4388 3.000000 5.0000000 4.708862
## 4389 3.000000 5.0000000 5.000000
## 4390 8.000000 8.0000000 8.000000
## 4391 6.165424 8.0000000 8.000000
## 4392 4.125704 5.0000000 5.000000
## 4393 9.000000 9.0000000 9.000000
## 4394 15.506392 5.0000000 10.000000
## 4395 8.000000 8.0000000 8.000000
## 4396 10.000000 10.0000000 10.856927
## 4397 5.000000 6.9797825 6.845870
## 4398 7.921844 9.9183019 10.000000
## 4399 9.000000 8.0000000 9.000000
## 4400 6.309214 6.7298280 7.179851
## 4401 6.309214 6.7298280 7.179851
## 4402 5.000000 5.0000000 5.000000
## 4403 6.309214 6.7298280 7.179851
## 4404 5.000000 3.0000000 5.000000
## 4405 3.921246 2.0068011 3.000000
## 4406 5.000000 8.0000000 7.546305
## 4407 6.845330 9.0000000 9.000000
## 4408 6.717690 5.0000000 6.148084
## 4409 3.000000 7.0000000 7.000000
## 4410 6.845330 9.0000000 9.000000
## 4411 7.000000 6.0000000 7.000000
## 4412 9.000000 9.0000000 9.000000
## 4413 5.000000 8.0000000 8.000000
## 4414 8.000000 7.0000000 8.000000
## 4415 5.000000 5.0000000 5.000000
## 4416 7.000000 8.0000000 8.000000
## 4417 7.318166 3.0000000 5.000000
## 4418 9.000000 6.0000000 7.718669
## 4419 1.000000 5.0000000 5.000000
## 4420 7.000000 8.0000000 8.000000
## 4421 3.000000 5.0000000 4.708862
## 4422 8.000000 8.0000000 8.000000
## 4423 5.000000 5.0000000 5.000000
## 4424 10.000000 10.0000000 10.000000
## 4425 5.000000 7.0000000 7.000000
## 4426 10.037792 7.0000000 9.000000
## 4427 7.525237 10.0000000 10.000000
## 4428 6.717690 5.0000000 6.148084
## 4429 8.000000 8.0000000 8.000000
## 4430 8.000000 7.0000000 8.019485
## 4431 5.000000 6.9797825 6.845870
## 4432 5.773646 9.0000000 8.533305
## 4433 6.000000 6.0000000 6.557673
## 4434 9.000000 7.0000000 9.000000
## 4435 5.000000 5.0000000 5.000000
## 4436 8.000000 5.0000000 8.000000
## 4437 8.000000 8.0000000 8.000000
## 4438 2.000000 2.0000000 2.000000
## 4439 8.000000 8.4185277 9.000000
## 4440 7.000000 3.0000000 4.881227
## 4441 3.000000 2.5368747 3.000000
## 4442 8.000000 6.0000000 7.331670
## 4443 8.000000 8.0000000 8.707300
## 4444 7.000000 6.0000000 7.000000
## 4445 3.000000 9.0000000 9.000000
## 4446 9.000000 5.0000000 9.000000
## 4447 8.000000 8.0000000 8.000000
## 4448 8.000000 6.9687612 8.000000
## 4449 10.954117 5.0000000 8.000000
## 4450 6.309214 6.7298280 7.179851
## 4451 8.000000 5.0000000 8.000000
## 4452 5.000000 6.9797825 6.845870
## 4453 4.125704 5.0000000 5.000000
## 4454 5.000000 6.0000000 6.000000
## 4455 7.000000 7.0000000 7.632487
## 4456 4.125704 5.0000000 5.000000
## 4457 4.805611 6.0000000 6.000000
## 4458 5.000000 5.0000000 5.000000
## 4459 2.000000 3.1002638 3.000000
## 4460 6.778816 7.6578731 8.000000
## 4461 5.000000 6.9797825 6.845870
## 4462 6.845330 9.0000000 9.000000
## 4463 6.717690 5.0000000 6.148084
## 4464 6.845330 9.0000000 9.000000
## 4465 6.309214 6.7298280 7.179851
## 4466 6.778816 7.6578731 8.000000
## 4467 5.000000 5.0000000 5.000000
## 4468 9.000000 9.0000000 9.782114
## 4469 7.189713 3.0000000 4.955474
## 4470 6.309214 6.7298280 7.179851
## 4471 1.000000 3.0000000 3.000000
## 4472 8.000000 6.4070222 7.610999
## 4473 6.245668 7.0000000 7.340695
## 4474 6.165424 8.0000000 8.000000
## 4475 7.525237 10.0000000 10.000000
## 4476 1.000000 2.2138865 2.000000
## 4477 9.000000 7.8551385 9.000000
## 4478 6.717690 5.0000000 6.148084
## 4479 6.717690 5.0000000 6.148084
## 4480 8.000000 9.0000000 9.000000
## 4481 5.000000 6.9797825 6.845870
## 4482 5.485517 7.0000000 7.000000
## 4483 8.000000 9.8682941 10.000000
## 4484 5.000000 9.0000000 8.234120
## 4485 9.000000 6.2161021 7.866042
## 4486 5.000000 8.6589286 8.000000
## 4487 9.000000 6.0000000 9.000000
## 4488 7.000000 6.0000000 6.944672
## 4489 3.000000 2.0000000 3.000000
## 4490 10.000000 5.0000000 10.000000
## 4491 8.000000 3.0000000 5.268225
## 4492 8.000000 8.0000000 8.000000
## 4493 10.000000 9.0000000 10.000000
## 4494 6.845330 9.0000000 9.000000
## 4495 6.309214 6.7298280 7.179851
## 4496 5.000000 10.1086951 9.000000
## 4497 8.000000 8.0000000 8.000000
## 4498 2.765891 3.0000000 3.000000
## 4499 7.000000 8.0000000 8.320302
## 4500 10.000000 8.7415158 10.000000
## 4501 5.000000 9.0000000 8.234120
## 4502 8.000000 6.9687612 8.000000
## 4503 9.000000 8.0000000 9.000000
## 4504 10.000000 9.0000000 10.000000
## 4505 9.000000 7.8551385 9.000000
## 4506 6.000000 8.0955395 8.000000
## 4507 5.000000 5.0000000 5.482859
## 4508 5.000000 9.0000000 9.000000
## 4509 7.000000 10.4316833 10.000000
## 4510 6.000000 6.0000000 6.000000
## 4511 7.000000 7.0000000 7.632487
## 4512 6.309214 6.7298280 7.179851
## 4513 5.485517 7.0000000 7.000000
## 4514 5.000000 5.0000000 5.000000
## 4515 5.000000 5.0000000 5.000000
## 4516 6.000000 9.0000000 9.000000
## 4517 9.000000 3.0000000 5.655224
## 4518 4.125704 5.0000000 5.000000
## 4519 3.000000 9.7857069 8.000000
## 4520 5.485517 7.0000000 7.000000
## 4521 9.000000 9.0000000 9.000000
## 4522 10.000000 10.0000000 10.000000
## 4523 6.309214 6.7298280 7.179851
## 4524 5.000000 9.0000000 9.000000
## 4525 5.000000 1.0000000 5.000000
## 4526 7.189713 3.0000000 4.955474
## 4527 8.000000 6.9687612 8.000000
## 4528 3.000000 3.0000000 3.000000
## 4529 10.000000 8.7415158 10.000000
## 4530 9.000000 9.0000000 9.000000
## 4531 6.845330 9.0000000 9.000000
## 4532 6.000000 7.0000000 7.245488
## 4533 5.000000 4.3096293 5.000000
## 4534 4.125704 5.0000000 5.000000
## 4535 9.000000 8.0000000 9.000000
## 4536 6.309214 6.7298280 7.179851
## 4537 5.000000 8.0000000 8.000000
## 4538 9.000000 9.0000000 9.000000
## 4539 9.000000 7.8551385 9.000000
## 4540 8.000000 5.0000000 8.000000
## 4541 5.000000 11.5584616 10.000000
## 4542 6.309214 6.7298280 7.179851
## 4543 7.525237 10.0000000 10.000000
## 4544 7.525237 10.0000000 10.000000
## 4545 6.309214 6.7298280 7.179851
## 4546 5.000000 5.0000000 5.000000
## 4547 10.000000 7.0000000 8.793482
## 4548 5.000000 4.3096293 5.000000
## 4549 6.165424 8.0000000 8.000000
## 4550 5.000000 9.0000000 9.000000
## 4551 6.000000 9.0000000 8.621118
## 4552 8.000000 8.0000000 8.707300- Bu grafik → Expectation-Maximization (EM) yontemi
ile yapilan eksik veri atamasinin (imputation) Ana Bilesenler
Analizi (PCA) uzerindeki etkisini degerlendirir.
- x-ekseni → PCA on Imputed Dataframe with this No. of PCs → PCA icin kullanilan bilesen sayisi (PCs) gosterilerek 1 ve 2 bilesenli PCA modelleri karsilasitirilir.
- y-ekseni → PRESS - Predicted Residual Error Sum of Squares → PCA modelinin HATA ORANLARINI gostererek → Daha DUSUK PRESS degeri = Daha IYI model uyumu anlamina gelir.
missMethods Paketi ile EM Algoritmasi
ds_orig <- mvtnorm::rmvnorm(100, rep(0, 5)) # 5 degiskenli normal dagilim
ds_mis <- delete_MCAR(ds_orig, p = 0.3) # %30 eksik veri (MCAR)
# EM ile eksik verileri doldurma (stokastik olmadan):
ds_imp <- impute_EM(ds_mis, stochastic = F)
# EM ile eksik verileri doldurma (stokastik olarak):
ds_imp_stochastic <- impute_EM(ds_mis, stochastic = T)Multiple Imputation (COKLU ATAMA)
- Kayip degerleri rastgele tahminlerle doldurmak yerine → BIRDEN FAZLA olasi deger uretir → bu degerler uzerinden analizler yapar.
- Daha sonra bu analiz sonuclari birlestirilerek → TEK BIR SONUC elde edilir.
- Gercekci Tahminler: Kayip verinin belirsizligini dikkate alır.
- Istatistiksel Guvenirlik: Tek bir tahmin yerine → birden fazla TAHMIN üzerinden analiz yapidildigi icin → DAHA GUVENILIR sonuclar verir.
- Esneklik: Farkli veri turleri ve modellerle uyumludur.
Multiple Imputation Adimlari
- Atama (Imputation): Kayip degerler → istatistiksel
modeller kullanilarak BIRDEN FAZLA KEZ DOLDURULUR
- Genellikle 5-10 arasinda tamamlanmis veri seti olusturulur
- Analiz: Her tamamlanmis veri seti uzerinde AYRI AYRI analizler yapilir.
- Birlestirme (Pooling): Analiz sonuclari → belirli kurallar cercevesinde birlestirilir + nihai sonuclar elde edilir.
mice (Multivariate Imputation by Chained Equations) paketi → Multiple Imputation yontemini uygulamak icin yaygin olarak kullanilir. - Kayip veriyi GORSELLESTIRME icin mice paketinin → md.pattern() fonksiyonu:
## HISCED MISCED FISCED
## 4209 1 1 1 0
## 100 1 1 0 1
## 20 1 0 1 1
## 223 0 0 0 3
## 223 243 323 789- Hangi degiskenlerde ne kadar kayip veri oldugu:
##
## iter imp variable
## 1 1 FISCED MISCED HISCED
## 1 2 FISCED MISCED HISCED
## 1 3 FISCED MISCED HISCED
## 1 4 FISCED MISCED HISCED
## 1 5 FISCED MISCED HISCED
## 2 1 FISCED MISCED HISCED
## 2 2 FISCED MISCED HISCED
## 2 3 FISCED MISCED HISCED
## 2 4 FISCED MISCED HISCED
## 2 5 FISCED MISCED HISCED
## 3 1 FISCED MISCED HISCED
## 3 2 FISCED MISCED HISCED
## 3 3 FISCED MISCED HISCED
## 3 4 FISCED MISCED HISCED
## 3 5 FISCED MISCED HISCED
## 4 1 FISCED MISCED HISCED
## 4 2 FISCED MISCED HISCED
## 4 3 FISCED MISCED HISCED
## 4 4 FISCED MISCED HISCED
## 4 5 FISCED MISCED HISCED
## 5 1 FISCED MISCED HISCED
## 5 2 FISCED MISCED HISCED
## 5 3 FISCED MISCED HISCED
## 5 4 FISCED MISCED HISCED
## 5 5 FISCED MISCED HISCED
## 6 1 FISCED MISCED HISCED
## 6 2 FISCED MISCED HISCED
## 6 3 FISCED MISCED HISCED
## 6 4 FISCED MISCED HISCED
## 6 5 FISCED MISCED HISCED
## 7 1 FISCED MISCED HISCED
## 7 2 FISCED MISCED HISCED
## 7 3 FISCED MISCED HISCED
## 7 4 FISCED MISCED HISCED
## 7 5 FISCED MISCED HISCED
## 8 1 FISCED MISCED HISCED
## 8 2 FISCED MISCED HISCED
## 8 3 FISCED MISCED HISCED
## 8 4 FISCED MISCED HISCED
## 8 5 FISCED MISCED HISCED
## 9 1 FISCED MISCED HISCED
## 9 2 FISCED MISCED HISCED
## 9 3 FISCED MISCED HISCED
## 9 4 FISCED MISCED HISCED
## 9 5 FISCED MISCED HISCED
## 10 1 FISCED MISCED HISCED
## 10 2 FISCED MISCED HISCED
## 10 3 FISCED MISCED HISCED
## 10 4 FISCED MISCED HISCED
## 10 5 FISCED MISCED HISCED
## 11 1 FISCED MISCED HISCED
## 11 2 FISCED MISCED HISCED
## 11 3 FISCED MISCED HISCED
## 11 4 FISCED MISCED HISCED
## 11 5 FISCED MISCED HISCED
## 12 1 FISCED MISCED HISCED
## 12 2 FISCED MISCED HISCED
## 12 3 FISCED MISCED HISCED
## 12 4 FISCED MISCED HISCED
## 12 5 FISCED MISCED HISCED
## 13 1 FISCED MISCED HISCED
## 13 2 FISCED MISCED HISCED
## 13 3 FISCED MISCED HISCED
## 13 4 FISCED MISCED HISCED
## 13 5 FISCED MISCED HISCED
## 14 1 FISCED MISCED HISCED
## 14 2 FISCED MISCED HISCED
## 14 3 FISCED MISCED HISCED
## 14 4 FISCED MISCED HISCED
## 14 5 FISCED MISCED HISCED
## 15 1 FISCED MISCED HISCED
## 15 2 FISCED MISCED HISCED
## 15 3 FISCED MISCED HISCED
## 15 4 FISCED MISCED HISCED
## 15 5 FISCED MISCED HISCED
## 16 1 FISCED MISCED HISCED
## 16 2 FISCED MISCED HISCED
## 16 3 FISCED MISCED HISCED
## 16 4 FISCED MISCED HISCED
## 16 5 FISCED MISCED HISCED
## 17 1 FISCED MISCED HISCED
## 17 2 FISCED MISCED HISCED
## 17 3 FISCED MISCED HISCED
## 17 4 FISCED MISCED HISCED
## 17 5 FISCED MISCED HISCED
## 18 1 FISCED MISCED HISCED
## 18 2 FISCED MISCED HISCED
## 18 3 FISCED MISCED HISCED
## 18 4 FISCED MISCED HISCED
## 18 5 FISCED MISCED HISCED
## 19 1 FISCED MISCED HISCED
## 19 2 FISCED MISCED HISCED
## 19 3 FISCED MISCED HISCED
## 19 4 FISCED MISCED HISCED
## 19 5 FISCED MISCED HISCED
## 20 1 FISCED MISCED HISCED
## 20 2 FISCED MISCED HISCED
## 20 3 FISCED MISCED HISCED
## 20 4 FISCED MISCED HISCED
## 20 5 FISCED MISCED HISCED
## 21 1 FISCED MISCED HISCED
## 21 2 FISCED MISCED HISCED
## 21 3 FISCED MISCED HISCED
## 21 4 FISCED MISCED HISCED
## 21 5 FISCED MISCED HISCED
## 22 1 FISCED MISCED HISCED
## 22 2 FISCED MISCED HISCED
## 22 3 FISCED MISCED HISCED
## 22 4 FISCED MISCED HISCED
## 22 5 FISCED MISCED HISCED
## 23 1 FISCED MISCED HISCED
## 23 2 FISCED MISCED HISCED
## 23 3 FISCED MISCED HISCED
## 23 4 FISCED MISCED HISCED
## 23 5 FISCED MISCED HISCED
## 24 1 FISCED MISCED HISCED
## 24 2 FISCED MISCED HISCED
## 24 3 FISCED MISCED HISCED
## 24 4 FISCED MISCED HISCED
## 24 5 FISCED MISCED HISCED
## 25 1 FISCED MISCED HISCED
## 25 2 FISCED MISCED HISCED
## 25 3 FISCED MISCED HISCED
## 25 4 FISCED MISCED HISCED
## 25 5 FISCED MISCED HISCED
## 26 1 FISCED MISCED HISCED
## 26 2 FISCED MISCED HISCED
## 26 3 FISCED MISCED HISCED
## 26 4 FISCED MISCED HISCED
## 26 5 FISCED MISCED HISCED
## 27 1 FISCED MISCED HISCED
## 27 2 FISCED MISCED HISCED
## 27 3 FISCED MISCED HISCED
## 27 4 FISCED MISCED HISCED
## 27 5 FISCED MISCED HISCED
## 28 1 FISCED MISCED HISCED
## 28 2 FISCED MISCED HISCED
## 28 3 FISCED MISCED HISCED
## 28 4 FISCED MISCED HISCED
## 28 5 FISCED MISCED HISCED
## 29 1 FISCED MISCED HISCED
## 29 2 FISCED MISCED HISCED
## 29 3 FISCED MISCED HISCED
## 29 4 FISCED MISCED HISCED
## 29 5 FISCED MISCED HISCED
## 30 1 FISCED MISCED HISCED
## 30 2 FISCED MISCED HISCED
## 30 3 FISCED MISCED HISCED
## 30 4 FISCED MISCED HISCED
## 30 5 FISCED MISCED HISCED
## 31 1 FISCED MISCED HISCED
## 31 2 FISCED MISCED HISCED
## 31 3 FISCED MISCED HISCED
## 31 4 FISCED MISCED HISCED
## 31 5 FISCED MISCED HISCED
## 32 1 FISCED MISCED HISCED
## 32 2 FISCED MISCED HISCED
## 32 3 FISCED MISCED HISCED
## 32 4 FISCED MISCED HISCED
## 32 5 FISCED MISCED HISCED
## 33 1 FISCED MISCED HISCED
## 33 2 FISCED MISCED HISCED
## 33 3 FISCED MISCED HISCED
## 33 4 FISCED MISCED HISCED
## 33 5 FISCED MISCED HISCED
## 34 1 FISCED MISCED HISCED
## 34 2 FISCED MISCED HISCED
## 34 3 FISCED MISCED HISCED
## 34 4 FISCED MISCED HISCED
## 34 5 FISCED MISCED HISCED
## 35 1 FISCED MISCED HISCED
## 35 2 FISCED MISCED HISCED
## 35 3 FISCED MISCED HISCED
## 35 4 FISCED MISCED HISCED
## 35 5 FISCED MISCED HISCED
## 36 1 FISCED MISCED HISCED
## 36 2 FISCED MISCED HISCED
## 36 3 FISCED MISCED HISCED
## 36 4 FISCED MISCED HISCED
## 36 5 FISCED MISCED HISCED
## 37 1 FISCED MISCED HISCED
## 37 2 FISCED MISCED HISCED
## 37 3 FISCED MISCED HISCED
## 37 4 FISCED MISCED HISCED
## 37 5 FISCED MISCED HISCED
## 38 1 FISCED MISCED HISCED
## 38 2 FISCED MISCED HISCED
## 38 3 FISCED MISCED HISCED
## 38 4 FISCED MISCED HISCED
## 38 5 FISCED MISCED HISCED
## 39 1 FISCED MISCED HISCED
## 39 2 FISCED MISCED HISCED
## 39 3 FISCED MISCED HISCED
## 39 4 FISCED MISCED HISCED
## 39 5 FISCED MISCED HISCED
## 40 1 FISCED MISCED HISCED
## 40 2 FISCED MISCED HISCED
## 40 3 FISCED MISCED HISCED
## 40 4 FISCED MISCED HISCED
## 40 5 FISCED MISCED HISCED
## 41 1 FISCED MISCED HISCED
## 41 2 FISCED MISCED HISCED
## 41 3 FISCED MISCED HISCED
## 41 4 FISCED MISCED HISCED
## 41 5 FISCED MISCED HISCED
## 42 1 FISCED MISCED HISCED
## 42 2 FISCED MISCED HISCED
## 42 3 FISCED MISCED HISCED
## 42 4 FISCED MISCED HISCED
## 42 5 FISCED MISCED HISCED
## 43 1 FISCED MISCED HISCED
## 43 2 FISCED MISCED HISCED
## 43 3 FISCED MISCED HISCED
## 43 4 FISCED MISCED HISCED
## 43 5 FISCED MISCED HISCED
## 44 1 FISCED MISCED HISCED
## 44 2 FISCED MISCED HISCED
## 44 3 FISCED MISCED HISCED
## 44 4 FISCED MISCED HISCED
## 44 5 FISCED MISCED HISCED
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## 4371 10 10 7 8 7
## 4400 10 9 6 10 9
## 4401 7 10 8 9 6
## 4403 6 9 8 9 10
## 4450 6 7 6 9 10
## 4465 5 10 6 8 8
## 4495 6 6 6 10 8
## 4512 6 10 5 8 5
## 4523 9 8 7 10 10
## 4542 7 9 5 7 5
## 4545 10 9 10 6 8Lineer Regresyon Analizi:
fit <- with(imputed_data, lm(FISCED ~ MISCED + HISCED))
pooled_results <- pool(fit)
summary(pooled_results)## term estimate std.error statistic df p.value
## 1 (Intercept) 0.5957026 0.08965003 6.644757 31.40997 1.863912e-07
## 2 MISCED -0.4059848 0.02615395 -15.522888 20.59632 7.746354e-13
## 3 HISCED 1.1716772 0.02337595 50.123198 75.11336 1.731593e-59