Tra le persone con più di 50 anni di che etnia è quello che guadagna di più? e quello che guadagna di meno?
library("tidyverse")
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.0 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.1 ✔ tibble 3.2.0
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the ]8;;http://conflicted.r-lib.org/conflicted package]8;; to force all conflicts to become errors
library("ISLR")
data("Credit",package="ISLR")
Credit %>%
select(Ethnicity,Income,Age) %>%
filter(Age>50) %>%
arrange(desc(Income)) %>%
head(1)
## Ethnicity Income Age
## 1 Caucasian 182.728 98
Credit %>%
select(Ethnicity,Income,Age) %>%
filter(Age>50) %>%
arrange(Income) %>%
head(1)
## Ethnicity Income Age
## 1 Caucasian 10.354 70
Selezionare tutte le variabili eccetto ID e Age
Credit %>%
select(-ID,-Age)
## Income Limit Rating Cards Education Gender Student Married
## 1 14.891 3606 283 2 11 Male No Yes
## 2 106.025 6645 483 3 15 Female Yes Yes
## 3 104.593 7075 514 4 11 Male No No
## 4 148.924 9504 681 3 11 Female No No
## 5 55.882 4897 357 2 16 Male No Yes
## 6 80.180 8047 569 4 10 Male No No
## 7 20.996 3388 259 2 12 Female No No
## 8 71.408 7114 512 2 9 Male No No
## 9 15.125 3300 266 5 13 Female No No
## 10 71.061 6819 491 3 19 Female Yes Yes
## 11 63.095 8117 589 4 14 Male No Yes
## 12 15.045 1311 138 3 16 Male No No
## 13 80.616 5308 394 1 7 Female No Yes
## 14 43.682 6922 511 1 9 Male No Yes
## 15 19.144 3291 269 2 13 Female No No
## 16 20.089 2525 200 3 15 Female No Yes
## 17 53.598 3714 286 3 17 Female No Yes
## 18 36.496 4378 339 3 15 Female No Yes
## 19 49.570 6384 448 1 9 Female No Yes
## 20 42.079 6626 479 2 9 Male No No
## 21 17.700 2860 235 4 16 Female No No
## 22 37.348 6378 458 1 17 Female No No
## 23 20.103 2631 213 3 10 Male No Yes
## 24 64.027 5179 398 5 8 Male No Yes
## 25 10.742 1757 156 3 15 Female No No
## 26 14.090 4323 326 5 16 Female No Yes
## 27 42.471 3625 289 6 12 Female Yes No
## 28 32.793 4534 333 2 16 Male No No
## 29 186.634 13414 949 2 14 Female No Yes
## 30 26.813 5611 411 4 16 Female No No
## 31 34.142 5666 413 4 5 Female No Yes
## 32 28.941 2733 210 5 16 Male No Yes
## 33 134.181 7838 563 2 13 Female No No
## 34 31.367 1829 162 4 10 Male No Yes
## 35 20.150 2646 199 2 14 Female No Yes
## 36 23.350 2558 220 3 12 Female Yes No
## 37 62.413 6457 455 2 11 Female No Yes
## 38 30.007 6481 462 2 9 Female No Yes
## 39 11.795 3899 300 4 10 Female No No
## 40 13.647 3461 264 4 14 Male No Yes
## 41 34.950 3327 253 3 14 Female No No
## 42 113.659 7659 538 2 15 Male Yes Yes
## 43 44.158 4763 351 2 13 Female No Yes
## 44 36.929 6257 445 1 14 Female No Yes
## 45 31.861 6375 469 3 16 Female No Yes
## 46 77.380 7569 564 3 12 Female No Yes
## 47 19.531 5043 376 2 16 Female Yes Yes
## 48 44.646 4431 320 2 15 Male Yes Yes
## 49 44.522 2252 205 6 15 Male No Yes
## 50 43.479 4569 354 4 13 Male Yes Yes
## 51 36.362 5183 376 3 15 Male No Yes
## 52 39.705 3969 301 2 20 Male No Yes
## 53 44.205 5441 394 1 12 Male No Yes
## 54 16.304 5466 413 4 10 Male No Yes
## 55 15.333 1499 138 2 9 Female No Yes
## 56 32.916 1786 154 2 8 Female No Yes
## 57 57.100 4742 372 7 18 Female No Yes
## 58 76.273 4779 367 4 14 Female No Yes
## 59 10.354 3480 281 2 17 Male No Yes
## 60 51.872 5294 390 4 17 Female No No
## 61 35.510 5198 364 2 20 Female No No
## 62 21.238 3089 254 3 10 Female No No
## 63 30.682 1671 160 2 7 Female No No
## 64 14.132 2998 251 4 17 Male No No
## 65 32.164 2937 223 2 15 Female No Yes
## 66 12.000 4160 320 4 14 Female No Yes
## 67 113.829 9704 694 4 13 Female No Yes
## 68 11.187 5099 380 4 16 Female No No
## 69 27.847 5619 418 2 15 Female No Yes
## 70 49.502 6819 505 4 14 Male No Yes
## 71 24.889 3954 318 4 12 Male No Yes
## 72 58.781 7402 538 2 12 Female No Yes
## 73 22.939 4923 355 1 18 Female No Yes
## 74 23.989 4523 338 4 15 Male No No
## 75 16.103 5390 418 4 10 Female No Yes
## 76 33.017 3180 224 2 16 Male No Yes
## 77 30.622 3293 251 1 16 Male Yes No
## 78 20.936 3254 253 1 15 Female No No
## 79 110.968 6662 468 3 11 Female No Yes
## 80 15.354 2101 171 2 14 Male No No
## 81 27.369 3449 288 3 9 Female No Yes
## 82 53.480 4263 317 1 15 Male No No
## 83 23.672 4433 344 3 11 Male No No
## 84 19.225 1433 122 3 14 Female No No
## 85 43.540 2906 232 4 11 Male No No
## 86 152.298 12066 828 4 12 Female No Yes
## 87 55.367 6340 448 1 15 Male No Yes
## 88 11.741 2271 182 4 12 Female No No
## 89 15.560 4307 352 4 8 Male No Yes
## 90 59.530 7518 543 3 9 Female No No
## 91 20.191 5767 431 4 16 Male No Yes
## 92 48.498 6040 456 3 16 Male No Yes
## 93 30.733 2832 249 4 13 Male No No
## 94 16.479 5435 388 2 16 Male No No
## 95 38.009 3075 245 3 15 Female No No
## 96 14.084 855 120 5 17 Female No Yes
## 97 14.312 5382 367 1 17 Male Yes No
## 98 26.067 3388 266 4 17 Female No Yes
## 99 36.295 2963 241 2 14 Female Yes No
## 100 83.851 8494 607 5 18 Male No No
## 101 21.153 3736 256 1 11 Male No No
## 102 17.976 2433 190 3 16 Female Yes No
## 103 68.713 7582 531 2 16 Male Yes No
## 104 146.183 9540 682 6 15 Male No No
## 105 15.846 4768 365 4 12 Female No No
## 106 12.031 3182 259 2 18 Female No Yes
## 107 16.819 1337 115 2 15 Male No Yes
## 108 39.110 3189 263 3 12 Male No No
## 109 107.986 6033 449 4 14 Male No Yes
## 110 13.561 3261 279 5 19 Male No Yes
## 111 34.537 3271 250 3 17 Female No Yes
## 112 28.575 2959 231 2 11 Female No No
## 113 46.007 6637 491 4 14 Male No Yes
## 114 69.251 6386 474 4 12 Female No Yes
## 115 16.482 3326 268 4 15 Male No No
## 116 40.442 4828 369 5 8 Female No No
## 117 35.177 2117 186 3 16 Female No No
## 118 91.362 9113 626 1 17 Male No Yes
## 119 27.039 2161 173 3 17 Female No No
## 120 23.012 1410 137 3 16 Male No No
## 121 27.241 1402 128 2 15 Female No Yes
## 122 148.080 8157 599 2 13 Male No Yes
## 123 62.602 7056 481 1 11 Female No No
## 124 11.808 1300 117 3 14 Female No No
## 125 29.564 2529 192 1 12 Female No Yes
## 126 27.578 2531 195 1 15 Female No Yes
## 127 26.427 5533 433 5 15 Female Yes Yes
## 128 57.202 3411 259 3 11 Female No No
## 129 123.299 8376 610 2 17 Male Yes No
## 130 18.145 3461 279 3 15 Male No Yes
## 131 23.793 3821 281 4 12 Female Yes Yes
## 132 10.726 1568 162 5 19 Male No Yes
## 133 23.283 5443 407 4 13 Male No Yes
## 134 21.455 5829 427 4 12 Female No Yes
## 135 34.664 5835 452 3 15 Female No Yes
## 136 44.473 3500 257 3 16 Female No No
## 137 54.663 4116 314 2 8 Female No No
## 138 36.355 3613 278 4 9 Male No Yes
## 139 21.374 2073 175 2 11 Female No Yes
## 140 107.841 10384 728 3 7 Male No No
## 141 39.831 6045 459 3 12 Female Yes Yes
## 142 91.876 6754 483 2 10 Male No Yes
## 143 103.893 7416 549 3 17 Male No No
## 144 19.636 4896 387 3 10 Female No No
## 145 17.392 2748 228 3 14 Male No Yes
## 146 19.529 4673 341 2 14 Male No No
## 147 17.055 5110 371 3 15 Female No Yes
## 148 23.857 1501 150 3 16 Male No Yes
## 149 15.184 2420 192 2 11 Female No Yes
## 150 13.444 886 121 5 10 Male No Yes
## 151 63.931 5728 435 3 14 Female No Yes
## 152 35.864 4831 353 3 13 Female No Yes
## 153 41.419 2120 184 4 11 Female Yes No
## 154 92.112 4612 344 3 17 Male No No
## 155 55.056 3155 235 2 16 Male No Yes
## 156 19.537 1362 143 4 9 Female No Yes
## 157 31.811 4284 338 5 13 Female No Yes
## 158 56.256 5521 406 2 16 Female Yes Yes
## 159 42.357 5550 406 2 12 Female No Yes
## 160 53.319 3000 235 3 13 Male No No
## 161 12.238 4865 381 5 11 Female No No
## 162 31.353 1705 160 3 14 Male No Yes
## 163 63.809 7530 515 1 12 Male No Yes
## 164 13.676 2330 203 5 16 Female No No
## 165 76.782 5977 429 4 12 Male No Yes
## 166 25.383 4527 367 4 11 Male No Yes
## 167 35.691 2880 214 2 15 Male No No
## 168 29.403 2327 178 1 14 Female No Yes
## 169 27.470 2820 219 1 11 Female No Yes
## 170 27.330 6179 459 4 12 Female No Yes
## 171 34.772 2021 167 3 9 Male No No
## 172 36.934 4270 299 1 9 Female No Yes
## 173 76.348 4697 344 4 18 Male No No
## 174 14.887 4745 339 3 12 Male No Yes
## 175 121.834 10673 750 3 16 Male No No
## 176 30.132 2168 206 3 17 Male No No
## 177 24.050 2607 221 4 18 Male No Yes
## 178 22.379 3965 292 2 14 Female No Yes
## 179 28.316 4391 316 2 10 Female No No
## 180 58.026 7499 560 5 11 Female No No
## 181 10.635 3584 294 5 16 Male No Yes
## 182 46.102 5180 382 3 12 Male No Yes
## 183 58.929 6420 459 2 9 Female No Yes
## 184 80.861 4090 335 3 15 Female No Yes
## 185 158.889 11589 805 1 17 Female No Yes
## 186 30.420 4442 316 1 14 Female No No
## 187 36.472 3806 309 2 13 Male No No
## 188 23.365 2179 167 2 15 Male No No
## 189 83.869 7667 554 2 11 Male No No
## 190 58.351 4411 326 2 16 Female No Yes
## 191 55.187 5352 385 4 17 Female No Yes
## 192 124.290 9560 701 3 17 Female Yes No
## 193 28.508 3933 287 4 14 Male No Yes
## 194 130.209 10088 730 7 19 Female No Yes
## 195 30.406 2120 181 2 14 Male No Yes
## 196 23.883 5384 398 2 16 Female No Yes
## 197 93.039 7398 517 1 12 Male No Yes
## 198 50.699 3977 304 2 17 Female No No
## 199 27.349 2000 169 4 16 Female No Yes
## 200 10.403 4159 310 3 7 Male No Yes
## 201 23.949 5343 383 2 18 Male No Yes
## 202 73.914 7333 529 6 15 Female No Yes
## 203 21.038 1448 145 2 13 Female No Yes
## 204 68.206 6784 499 5 16 Female Yes No
## 205 57.337 5310 392 2 7 Female No No
## 206 10.793 3878 321 8 13 Male No No
## 207 23.450 2450 180 2 13 Male No No
## 208 10.842 4391 358 5 10 Female Yes Yes
## 209 51.345 4327 320 3 15 Male No No
## 210 151.947 9156 642 2 11 Female No Yes
## 211 24.543 3206 243 2 12 Female No Yes
## 212 29.567 5309 397 3 15 Male No No
## 213 39.145 4351 323 2 13 Male No Yes
## 214 39.422 5245 383 2 19 Male No No
## 215 34.909 5289 410 2 16 Female No Yes
## 216 41.025 4229 337 3 19 Female No Yes
## 217 15.476 2762 215 3 18 Male No No
## 218 12.456 5395 392 3 14 Male No Yes
## 219 10.627 1647 149 2 10 Female Yes Yes
## 220 38.954 5222 370 4 13 Female No No
## 221 44.847 5765 437 3 13 Female Yes No
## 222 98.515 8760 633 5 11 Female No No
## 223 33.437 6207 451 4 9 Male Yes No
## 224 27.512 4613 344 5 17 Male No Yes
## 225 121.709 7818 584 4 6 Male No Yes
## 226 15.079 5673 411 4 15 Female No Yes
## 227 59.879 6906 527 6 15 Female No No
## 228 66.989 5614 430 3 14 Female No Yes
## 229 69.165 4668 341 2 11 Female No No
## 230 69.943 7555 547 3 9 Male No Yes
## 231 33.214 5137 387 3 9 Male No No
## 232 25.124 4776 378 4 12 Male No Yes
## 233 15.741 4788 360 1 14 Male No Yes
## 234 11.603 2278 187 3 11 Male No Yes
## 235 69.656 8244 579 3 14 Male No Yes
## 236 10.503 2923 232 3 18 Female No Yes
## 237 42.529 4986 369 2 11 Male No Yes
## 238 60.579 5149 388 5 15 Male No Yes
## 239 26.532 2910 236 6 19 Female No Yes
## 240 27.952 3557 263 1 13 Female No Yes
## 241 29.705 3351 262 5 14 Female No Yes
## 242 15.602 906 103 2 11 Male No Yes
## 243 20.918 1233 128 3 18 Female Yes Yes
## 244 58.165 6617 460 1 12 Female No Yes
## 245 22.561 1787 147 4 15 Female No No
## 246 34.509 2001 189 5 18 Female No Yes
## 247 19.588 3211 265 4 14 Female No No
## 248 36.364 2220 188 3 19 Male No No
## 249 15.717 905 93 1 16 Male Yes Yes
## 250 22.574 1551 134 3 13 Female Yes Yes
## 251 10.363 2430 191 2 18 Female No Yes
## 252 28.474 3202 267 5 12 Male No Yes
## 253 72.945 8603 621 3 8 Female No No
## 254 85.425 5182 402 6 12 Male No Yes
## 255 36.508 6386 469 4 6 Female No Yes
## 256 58.063 4221 304 3 8 Male No No
## 257 25.936 1774 135 2 14 Female No No
## 258 15.629 2493 186 1 14 Male No Yes
## 259 41.400 2561 215 2 14 Male No Yes
## 260 33.657 6196 450 6 9 Female No No
## 261 67.937 5184 383 4 12 Male No Yes
## 262 180.379 9310 665 3 8 Female Yes Yes
## 263 10.588 4049 296 1 13 Female No Yes
## 264 29.725 3536 270 2 15 Female No No
## 265 27.999 5107 380 1 10 Male No Yes
## 266 40.885 5013 379 3 13 Female No Yes
## 267 88.830 4952 360 4 16 Female No Yes
## 268 29.638 5833 433 3 15 Female No Yes
## 269 25.988 1349 142 4 12 Male No No
## 270 39.055 5565 410 4 18 Female No Yes
## 271 15.866 3085 217 1 13 Male No No
## 272 44.978 4866 347 1 10 Female No No
## 273 30.413 3690 299 2 15 Female Yes No
## 274 16.751 4706 353 6 14 Male Yes No
## 275 30.550 5869 439 5 9 Female No No
## 276 163.329 8732 636 3 14 Male No Yes
## 277 23.106 3476 257 2 15 Female No No
## 278 41.532 5000 353 2 12 Male No Yes
## 279 128.040 6982 518 2 11 Female No Yes
## 280 54.319 3063 248 3 8 Female Yes No
## 281 53.401 5319 377 3 12 Female No No
## 282 36.142 1852 183 3 13 Female No No
## 283 63.534 8100 581 2 17 Female No Yes
## 284 49.927 6396 485 3 17 Female No Yes
## 285 14.711 2047 167 2 6 Male No Yes
## 286 18.967 1626 156 2 11 Female No Yes
## 287 18.036 1552 142 2 15 Female No No
## 288 60.449 3098 272 4 8 Male No Yes
## 289 16.711 5274 387 3 16 Female No Yes
## 290 10.852 3907 296 2 9 Male No No
## 291 26.370 3235 268 5 11 Male No Yes
## 292 24.088 3665 287 4 13 Female No Yes
## 293 51.532 5096 380 2 15 Male No Yes
## 294 140.672 11200 817 7 9 Male No Yes
## 295 42.915 2532 205 4 13 Male No Yes
## 296 27.272 1389 149 5 10 Female No Yes
## 297 65.896 5140 370 1 17 Female No Yes
## 298 55.054 4381 321 3 17 Male No Yes
## 299 20.791 2672 204 1 18 Female No No
## 300 24.919 5051 372 3 11 Female No Yes
## 301 21.786 4632 355 1 17 Male No Yes
## 302 31.335 3526 289 3 7 Female No No
## 303 59.855 4964 365 1 13 Female No Yes
## 304 44.061 4970 352 1 11 Male No Yes
## 305 82.706 7506 536 2 13 Female No Yes
## 306 24.460 1924 165 2 14 Female No Yes
## 307 45.120 3762 287 3 8 Male No Yes
## 308 75.406 3874 298 3 14 Female No Yes
## 309 14.956 4640 332 2 6 Male No No
## 310 75.257 7010 494 3 18 Female No Yes
## 311 33.694 4891 369 1 16 Male Yes No
## 312 23.375 5429 396 3 15 Female No Yes
## 313 27.825 5227 386 6 11 Male No Yes
## 314 92.386 7685 534 2 18 Female No Yes
## 315 115.520 9272 656 2 14 Male No No
## 316 14.479 3907 296 3 16 Male No Yes
## 317 52.179 7306 522 2 14 Male No No
## 318 68.462 4712 340 2 16 Male No Yes
## 319 18.951 1485 129 3 13 Female No No
## 320 27.590 2586 229 5 16 Male No Yes
## 321 16.279 1160 126 3 13 Male Yes Yes
## 322 25.078 3096 236 2 15 Female No Yes
## 323 27.229 3484 282 6 11 Male No No
## 324 182.728 13913 982 4 17 Male No Yes
## 325 31.029 2863 223 2 17 Male Yes Yes
## 326 17.765 5072 364 1 12 Female No Yes
## 327 125.480 10230 721 3 16 Male No Yes
## 328 49.166 6662 508 3 14 Female No No
## 329 41.192 3673 297 3 16 Female No Yes
## 330 94.193 7576 527 2 16 Female No Yes
## 331 20.405 4543 329 2 17 Male Yes No
## 332 12.581 3976 291 2 16 Male No Yes
## 333 62.328 5228 377 3 15 Male No No
## 334 21.011 3402 261 2 17 Male No Yes
## 335 24.230 4756 351 2 15 Female No Yes
## 336 24.314 3409 270 2 7 Female No Yes
## 337 32.856 5884 438 4 13 Male No No
## 338 12.414 855 119 3 12 Male No Yes
## 339 41.365 5303 377 1 14 Male No No
## 340 149.316 10278 707 1 16 Male No No
## 341 27.794 3807 301 4 8 Female No Yes
## 342 13.234 3922 299 2 17 Female No Yes
## 343 14.595 2955 260 5 9 Male No Yes
## 344 10.735 3746 280 2 17 Female No Yes
## 345 48.218 5199 401 7 10 Male No Yes
## 346 30.012 1511 137 2 17 Male No Yes
## 347 21.551 5380 420 5 18 Male No Yes
## 348 160.231 10748 754 2 17 Male No No
## 349 13.433 1134 112 3 14 Male No Yes
## 350 48.577 5145 389 3 13 Female No Yes
## 351 30.002 1561 155 4 13 Female No Yes
## 352 61.620 5140 374 1 9 Male No Yes
## 353 104.483 7140 507 2 14 Male No Yes
## 354 41.868 4716 342 2 18 Male No No
## 355 12.068 3873 292 1 18 Female No Yes
## 356 180.682 11966 832 2 8 Female No Yes
## 357 34.480 6090 442 3 14 Male No No
## 358 39.609 2539 188 1 14 Male No Yes
## 359 30.111 4336 339 1 18 Male No Yes
## 360 12.335 4471 344 3 12 Male No Yes
## 361 53.566 5891 434 4 10 Female No No
## 362 53.217 4943 362 2 16 Female No Yes
## 363 26.162 5101 382 3 19 Female No No
## 364 64.173 6127 433 1 10 Male No Yes
## 365 128.669 9824 685 3 16 Male No Yes
## 366 113.772 6442 489 4 15 Male Yes Yes
## 367 61.069 7871 564 3 14 Male No Yes
## 368 23.793 3615 263 2 14 Male No No
## 369 89.000 5759 440 3 6 Female No No
## 370 71.682 8028 599 3 16 Male No Yes
## 371 35.610 6135 466 4 12 Male No No
## 372 39.116 2150 173 4 15 Male No No
## 373 19.782 3782 293 2 16 Female Yes No
## 374 55.412 5354 383 2 16 Female Yes Yes
## 375 29.400 4840 368 3 18 Female No Yes
## 376 20.974 5673 413 5 16 Female No Yes
## 377 87.625 7167 515 2 10 Female No No
## 378 28.144 1567 142 3 10 Male No Yes
## 379 19.349 4941 366 1 19 Male No Yes
## 380 53.308 2860 214 1 10 Male No Yes
## 381 115.123 7760 538 3 14 Female No No
## 382 101.788 8029 574 2 11 Male No Yes
## 383 24.824 5495 409 1 9 Male Yes No
## 384 14.292 3274 282 9 9 Male No Yes
## 385 20.088 1870 180 3 16 Male No No
## 386 26.400 5640 398 3 15 Female No No
## 387 19.253 3683 287 4 10 Male No No
## 388 16.529 1357 126 3 9 Male No No
## 389 37.878 6827 482 2 13 Female No No
## 390 83.948 7100 503 2 18 Male No No
## 391 135.118 10578 747 3 15 Female No Yes
## 392 73.327 6555 472 2 15 Female No No
## 393 25.974 2308 196 2 10 Male No No
## 394 17.316 1335 138 2 13 Male No No
## 395 49.794 5758 410 4 8 Male No No
## 396 12.096 4100 307 3 13 Male No Yes
## 397 13.364 3838 296 5 17 Male No No
## 398 57.872 4171 321 5 12 Female No Yes
## 399 37.728 2525 192 1 13 Male No Yes
## 400 18.701 5524 415 5 7 Female No No
## Ethnicity Balance
## 1 Caucasian 333
## 2 Asian 903
## 3 Asian 580
## 4 Asian 964
## 5 Caucasian 331
## 6 Caucasian 1151
## 7 African American 203
## 8 Asian 872
## 9 Caucasian 279
## 10 African American 1350
## 11 Caucasian 1407
## 12 Caucasian 0
## 13 Asian 204
## 14 Caucasian 1081
## 15 African American 148
## 16 African American 0
## 17 African American 0
## 18 Asian 368
## 19 Asian 891
## 20 Asian 1048
## 21 Asian 89
## 22 Caucasian 968
## 23 African American 0
## 24 African American 411
## 25 Caucasian 0
## 26 African American 671
## 27 Caucasian 654
## 28 African American 467
## 29 African American 1809
## 30 Caucasian 915
## 31 Caucasian 863
## 32 Asian 0
## 33 Caucasian 526
## 34 Caucasian 0
## 35 Asian 0
## 36 Caucasian 419
## 37 Caucasian 762
## 38 Caucasian 1093
## 39 Caucasian 531
## 40 Caucasian 344
## 41 African American 50
## 42 African American 1155
## 43 Asian 385
## 44 Asian 976
## 45 Caucasian 1120
## 46 Caucasian 997
## 47 Asian 1241
## 48 Caucasian 797
## 49 Asian 0
## 50 African American 902
## 51 African American 654
## 52 African American 211
## 53 Caucasian 607
## 54 Asian 957
## 55 Asian 0
## 56 Asian 0
## 57 Asian 379
## 58 Caucasian 133
## 59 Caucasian 333
## 60 Caucasian 531
## 61 Asian 631
## 62 Caucasian 108
## 63 Caucasian 0
## 64 Caucasian 133
## 65 African American 0
## 66 Caucasian 602
## 67 Asian 1388
## 68 African American 889
## 69 Caucasian 822
## 70 Caucasian 1084
## 71 Caucasian 357
## 72 Asian 1103
## 73 Asian 663
## 74 Caucasian 601
## 75 Caucasian 945
## 76 African American 29
## 77 Caucasian 532
## 78 Asian 145
## 79 Caucasian 391
## 80 Asian 0
## 81 Caucasian 162
## 82 Caucasian 99
## 83 Caucasian 503
## 84 Caucasian 0
## 85 Caucasian 0
## 86 Asian 1779
## 87 Caucasian 815
## 88 Asian 0
## 89 African American 579
## 90 African American 1176
## 91 African American 1023
## 92 Caucasian 812
## 93 Caucasian 0
## 94 African American 937
## 95 African American 0
## 96 African American 0
## 97 Asian 1380
## 98 African American 155
## 99 African American 375
## 100 Caucasian 1311
## 101 Caucasian 298
## 102 Caucasian 431
## 103 Caucasian 1587
## 104 Caucasian 1050
## 105 Caucasian 745
## 106 Caucasian 210
## 107 Asian 0
## 108 Asian 0
## 109 Caucasian 227
## 110 Asian 297
## 111 Asian 47
## 112 African American 0
## 113 Caucasian 1046
## 114 Asian 768
## 115 Caucasian 271
## 116 African American 510
## 117 Caucasian 0
## 118 Asian 1341
## 119 Caucasian 0
## 120 Caucasian 0
## 121 Asian 0
## 122 Caucasian 454
## 123 Caucasian 904
## 124 African American 0
## 125 Caucasian 0
## 126 Caucasian 0
## 127 Asian 1404
## 128 Caucasian 0
## 129 African American 1259
## 130 African American 255
## 131 African American 868
## 132 Asian 0
## 133 African American 912
## 134 African American 1018
## 135 African American 835
## 136 African American 8
## 137 African American 75
## 138 Asian 187
## 139 Caucasian 0
## 140 African American 1597
## 141 African American 1425
## 142 Caucasian 605
## 143 Asian 669
## 144 African American 710
## 145 Caucasian 68
## 146 Asian 642
## 147 Caucasian 805
## 148 Caucasian 0
## 149 Caucasian 0
## 150 Asian 0
## 151 African American 581
## 152 Caucasian 534
## 153 Caucasian 156
## 154 Caucasian 0
## 155 African American 0
## 156 Asian 0
## 157 Caucasian 429
## 158 Caucasian 1020
## 159 Asian 653
## 160 Asian 0
## 161 Caucasian 836
## 162 Caucasian 0
## 163 Caucasian 1086
## 164 African American 0
## 165 Asian 548
## 166 Caucasian 570
## 167 African American 0
## 168 Caucasian 0
## 169 Asian 0
## 170 Caucasian 1099
## 171 Asian 0
## 172 Caucasian 283
## 173 Asian 108
## 174 African American 724
## 175 African American 1573
## 176 Caucasian 0
## 177 Caucasian 0
## 178 Asian 384
## 179 Caucasian 453
## 180 Caucasian 1237
## 181 Asian 423
## 182 African American 516
## 183 African American 789
## 184 Asian 0
## 185 Caucasian 1448
## 186 African American 450
## 187 African American 188
## 188 Asian 0
## 189 African American 930
## 190 Caucasian 126
## 191 Caucasian 538
## 192 Asian 1687
## 193 Asian 336
## 194 Caucasian 1426
## 195 African American 0
## 196 African American 802
## 197 African American 749
## 198 African American 69
## 199 African American 0
## 200 Asian 571
## 201 African American 829
## 202 Caucasian 1048
## 203 Caucasian 0
## 204 African American 1411
## 205 Caucasian 456
## 206 Caucasian 638
## 207 Caucasian 0
## 208 Caucasian 1216
## 209 African American 230
## 210 African American 732
## 211 Caucasian 95
## 212 Caucasian 799
## 213 Caucasian 308
## 214 African American 637
## 215 Caucasian 681
## 216 Caucasian 246
## 217 Asian 52
## 218 Caucasian 955
## 219 Asian 195
## 220 Caucasian 653
## 221 Asian 1246
## 222 African American 1230
## 223 Caucasian 1549
## 224 Asian 573
## 225 Caucasian 701
## 226 Asian 1075
## 227 Caucasian 1032
## 228 Caucasian 482
## 229 African American 156
## 230 Asian 1058
## 231 African American 661
## 232 Caucasian 657
## 233 Asian 689
## 234 Caucasian 0
## 235 African American 1329
## 236 African American 191
## 237 Asian 489
## 238 Asian 443
## 239 Caucasian 52
## 240 Asian 163
## 241 Asian 148
## 242 African American 0
## 243 Asian 16
## 244 Caucasian 856
## 245 Caucasian 0
## 246 African American 0
## 247 Asian 199
## 248 Caucasian 0
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