First thing you want to do is download R and R Stuido R PC: https://cran.r-project.org/bin/windows/base/ R Mac: https://cran.r-project.org/bin/macosx/ RStudio (choose PC or Mac version): https://www.rstudio.com/products/rstudio/download/#download
Here is the location of the data set you will want to use: https://drive.google.com/open?id=1F4QVSPgvs20nnX6LU5FuIH4wC6Xnn4mR
Here we are going to load the data into R. I placed my data on the desktop, so I can use the code below. The easiest way to do this by setting the working directory to the desktop using, set working directory and then selecting the location.
You can read a data set by using the read.csv package. You need to put the name of the data set and then have a dot and csv (this package only works with csv’s). Header equals true means that the first row in the data set contains the variable names.
Then if you want to write the data set to a csv you can use the write csv function. You also will likely want to set the row.names to false, because if it is TRUE then it adds a new row that has a number for each row (i.e. row one gets a 1, row two gets a 2).
setwd("~/Desktop")
dat = read.csv("dat.csv", header = TRUE)
write.csv(dat, "dat.csv", row.names = FALSE)Here I am creating some missing data. I am using the $ command to identify the variables I want to access. Then, I am using the [] to indicate the rows in the specific variables of the variable that I want to access. For the Ethnicity variable, I am accessing rows 100 through 200. Then I am using the = sign to tell R that I want the selected rows in the selected variables to equal NA.
dat$Ethnicity[100:200] = NA
dat$postScore[120:220] = NAA lot of packages in R freak out if there is missing data, so it is probably best just to get rid of the missing values. To get rid of all data points that have any missing value in some variable we can use the na.omit function in R.
We can use the dim function to show us how many data points and variables that the data set has. Therefore, by having dim before and after using the na.omit function, we can see how much data is missing before and after excluding the missing data.
dim(dat)## [1] 10000 6dat = na.omit(dat)
dim(dat)## [1] 9879 6Creating more data to merge (ignore this)
set.seed(12345)
income = c("high", "low")
dat1 = data.frame(id = 1:10000, income = sample(income, 10000, replace= TRUE))Sometimes datasets are spread out and not all together and we want to merge them by some unique identifier usually id. In this case we have a data set called dat1 which contains the unique id variable and a new variable called income.
We can use the merge function in R to merge data sets. There are three kinds of merges right (y), left (x), and all. For right this means that we match all the data in the right data set (the second data set you list). So for right it will match all the ids in the right data set with all of the matching ids in the left data set and any id that is in the left data set that is not in the right data set will be dropped. Both means that we include ids from both data sets even if they have no matching one and any missing data is left blank. So in the both example below you will see some missing data for eth and the other variables, because some people in dat are missing those variables and not included in the dat1.
datLeft = merge(dat, dat1, all.x = TRUE)
datLeft## id Gender Ethnicity SES preScore
## 1 1 Other_Identity Hispanic Middle 56
## 2 2 Female African_American Low 57
## 3 3 Other_Identity White Low 49
## 4 4 Other_Identity Hispanic Low 45
## 5 5 Other_Identity Other_Ethnic_Identity Low 56
## 6 6 Male Other_Ethnic_Identity High 32
## 7 7 Other_Identity White High 56
## 8 8 Male White Very_Low 47
## 9 9 Other_Identity White Very_Low 47
## 10 10 Male Asian Middle 41
## 11 11 Male Other_Ethnic_Identity Low 49
## 12 12 Other_Identity Hispanic High 68
## 13 13 Male White High 54
## 14 14 Female Other_Ethnic_Identity Middle 55
## 15 15 Male White High 42
## 16 16 Other_Identity African_American Low 58
## 17 17 Other_Identity Other_Ethnic_Identity High 41
## 18 18 Other_Identity African_American Low 47
## 19 19 Other_Identity African_American Low 61
## 20 20 Other_Identity White High 53
## 21 21 Other_Identity Hispanic Very_Low 58
## 22 22 Male Hispanic Very_Low 65
## 23 23 Female White Very_Low 44
## 24 24 Female White Very_Low 34
## 25 25 Female Other_Ethnic_Identity High 34
## 26 26 Male African_American High 68
## 27 27 Female Hispanic Low 45
## 28 28 Male Other_Ethnic_Identity Middle 56
## 29 29 Female Hispanic Low 56
## 30 30 Male Asian Middle 48
## 31 31 Other_Identity African_American Middle 58
## 32 32 Male Hispanic Very_Low 72
## 33 33 Male African_American Very_Low 70
## 34 34 Other_Identity Other_Ethnic_Identity Very_Low 66
## 35 35 Male Other_Ethnic_Identity Low 53
## 36 36 Male Other_Ethnic_Identity Low 55
## 37 37 Other_Identity Other_Ethnic_Identity Middle 47
## 38 38 Other_Identity Asian Very_Low 33
## 39 39 Male White High 68
## 40 40 Other_Identity Hispanic Middle 50
## 41 41 Female African_American Low 61
## 42 42 Female White Middle 26
## 43 43 Male African_American Low 39
## 44 44 Female White Middle 59
## 45 45 Male Asian Middle 59
## 46 46 Other_Identity Hispanic Middle 65
## 47 47 Female Hispanic Very_Low 36
## 48 48 Female Hispanic High 56
## 49 49 Female African_American Middle 56
## 50 50 Female Other_Ethnic_Identity Very_Low 37
## 51 51 Male Asian Very_Low 45
## 52 52 Other_Identity Asian High 69
## 53 53 Male African_American Low 51
## 54 54 Female African_American Low 54
## 55 55 Male Other_Ethnic_Identity Low 43
## 56 56 Female Asian Very_Low 53
## 57 57 Female Asian Middle 57
## 58 58 Female Other_Ethnic_Identity Middle 58
## 59 59 Male African_American High 71
## 60 60 Female White Low 27
## 61 61 Other_Identity Asian Low 51
## 62 62 Male Other_Ethnic_Identity Middle 37
## 63 63 Female White Middle 56
## 64 64 Female White Low 66
## 65 65 Female Hispanic Middle 44
## 66 66 Other_Identity African_American Middle 32
## 67 67 Male Hispanic Middle 59
## 68 68 Female Other_Ethnic_Identity High 66
## 69 69 Other_Identity Asian High 55
## 70 70 Female Other_Ethnic_Identity High 37
## 71 71 Female Hispanic Middle 51
## 72 72 Female African_American Very_Low 42
## 73 73 Male Asian Middle 40
## 74 74 Other_Identity Hispanic Low 73
## 75 75 Male Other_Ethnic_Identity Low 64
## 76 76 Female Asian Very_Low 59
## 77 77 Male Other_Ethnic_Identity High 58
## 78 78 Male Asian Low 42
## 79 79 Other_Identity White High 55
## 80 80 Other_Identity White Low 60
## 81 81 Male African_American High 56
## 82 82 Male Hispanic Low 60
## 83 83 Other_Identity Hispanic Middle 47
## 84 84 Female African_American Low 75
## 85 85 Female African_American Very_Low 60
## 86 86 Male Hispanic Middle 69
## 87 87 Male Asian High 57
## 88 88 Female White Middle 47
## 89 89 Female Asian Very_Low 55
## 90 90 Male Asian Low 58
## 91 91 Female Other_Ethnic_Identity Very_Low 40
## 92 92 Male African_American Low 41
## 93 93 Female Other_Ethnic_Identity Low 69
## 94 94 Other_Identity Other_Ethnic_Identity Middle 46
## 95 95 Other_Identity Asian Middle 40
## 96 96 Male African_American Very_Low 57
## 97 97 Male Other_Ethnic_Identity Low 45
## 98 98 Female White High 72
## 99 99 Male White High 44
## 100 221 Other_Identity White Middle 59
## 101 222 Male White Very_Low 27
## 102 223 Male Hispanic Very_Low 48
## 103 224 Female Other_Ethnic_Identity High 47
## 104 225 Male Asian Very_Low 68
## 105 226 Male Asian Low 57
## 106 227 Other_Identity Other_Ethnic_Identity Low 48
## 107 228 Male Hispanic Very_Low 50
## 108 229 Other_Identity White Very_Low 65
## 109 230 Other_Identity White Middle 51
## 110 231 Female Hispanic Low 51
## 111 232 Male White Low 42
## 112 233 Female Asian High 52
## 113 234 Male Asian Middle 53
## 114 235 Male Asian Very_Low 59
## 115 236 Other_Identity White Low 45
## 116 237 Other_Identity African_American High 58
## 117 238 Female African_American High 44
## 118 239 Other_Identity African_American Low 56
## 119 240 Male Other_Ethnic_Identity Low 52
## 120 241 Male Other_Ethnic_Identity High 43
## 121 242 Female Hispanic Low 44
## 122 243 Male Hispanic Low 47
## 123 244 Male Hispanic High 39
## 124 245 Male White High 49
## 125 246 Other_Identity White Very_Low 58
## 126 247 Male African_American Very_Low 77
## 127 248 Male Hispanic Middle 49
## 128 249 Other_Identity Hispanic High 55
## 129 250 Female White Very_Low 58
## 130 251 Female Other_Ethnic_Identity Middle 42
## 131 252 Female Asian Very_Low 60
## 132 253 Male African_American Low 55
## 133 254 Other_Identity Hispanic Middle 36
## 134 255 Female Asian Middle 47
## 135 256 Male Asian High 56
## 136 257 Female Hispanic Very_Low 46
## 137 258 Other_Identity African_American Very_Low 45
## 138 259 Other_Identity African_American Very_Low 42
## 139 260 Other_Identity African_American Low 38
## 140 261 Male African_American Very_Low 57
## 141 262 Male White High 63
## 142 263 Female Hispanic Low 49
## 143 264 Male Hispanic Low 45
## 144 265 Female Hispanic Very_Low 65
## 145 266 Male Asian High 48
## 146 267 Male Asian Middle 50
## 147 268 Other_Identity Other_Ethnic_Identity Very_Low 55
## 148 269 Male White High 38
## 149 270 Female Hispanic Middle 43
## 150 271 Male Other_Ethnic_Identity Middle 44
## 151 272 Male Other_Ethnic_Identity Very_Low 43
## 152 273 Female Hispanic High 56
## 153 274 Male White High 29
## 154 275 Female Other_Ethnic_Identity Middle 53
## 155 276 Female White Very_Low 61
## 156 277 Male Other_Ethnic_Identity High 50
## 157 278 Other_Identity White Middle 47
## 158 279 Other_Identity Hispanic High 40
## 159 280 Other_Identity White High 55
## 160 281 Female Other_Ethnic_Identity Low 35
## 161 282 Female African_American High 52
## 162 283 Female Asian Middle 41
## 163 284 Other_Identity Other_Ethnic_Identity Low 66
## 164 285 Other_Identity African_American Very_Low 56
## 165 286 Male Hispanic High 54
## 166 287 Male Hispanic Very_Low 51
## 167 288 Other_Identity White Very_Low 43
## 168 289 Male Other_Ethnic_Identity Low 60
## 169 290 Male Other_Ethnic_Identity Very_Low 58
## 170 291 Male Other_Ethnic_Identity Middle 46
## 171 292 Other_Identity White Middle 43
## 172 293 Female Hispanic High 48
## 173 294 Female Other_Ethnic_Identity Very_Low 54
## 174 295 Female Other_Ethnic_Identity High 40
## 175 296 Other_Identity Other_Ethnic_Identity High 52
## 176 297 Female African_American Middle 28
## 177 298 Male African_American Low 44
## 178 299 Male Asian Middle 42
## 179 300 Female African_American Middle 55
## 180 301 Male Hispanic Middle 55
## 181 302 Female African_American Middle 50
## 182 303 Other_Identity African_American Low 46
## 183 304 Other_Identity White Low 62
## 184 305 Other_Identity Asian High 49
## 185 306 Other_Identity African_American Low 50
## 186 307 Other_Identity Other_Ethnic_Identity Middle 62
## 187 308 Other_Identity Asian Middle 53
## 188 309 Female Asian High 47
## 189 310 Other_Identity Asian High 67
## 190 311 Male Hispanic High 41
## 191 312 Male Hispanic Low 49
## 192 313 Female White Middle 63
## 193 314 Other_Identity African_American Low 67
## 194 315 Male Other_Ethnic_Identity High 72
## 195 316 Female African_American Very_Low 47
## 196 317 Male White Very_Low 44
## 197 318 Male African_American Middle 36
## 198 319 Female Other_Ethnic_Identity High 73
## 199 320 Other_Identity Asian High 42
## 200 321 Male Hispanic Middle 54
## 201 322 Female Asian High 56
## 202 323 Other_Identity Other_Ethnic_Identity Middle 60
## 203 324 Male White Very_Low 55
## 204 325 Female African_American Middle 28
## 205 326 Male Asian Very_Low 59
## 206 327 Male African_American Low 55
## 207 328 Female Other_Ethnic_Identity High 54
## 208 329 Other_Identity Hispanic Middle 43
## 209 330 Other_Identity White Very_Low 60
## 210 331 Other_Identity Asian Very_Low 64
## 211 332 Female African_American Very_Low 55
## 212 333 Female Asian Middle 53
## 213 334 Male White High 59
## 214 335 Male Other_Ethnic_Identity Low 54
## 215 336 Other_Identity African_American High 54
## 216 337 Other_Identity Other_Ethnic_Identity High 35
## 217 338 Male African_American High 65
## 218 339 Other_Identity African_American Middle 55
## 219 340 Female White High 55
## 220 341 Male Other_Ethnic_Identity High 71
## 221 342 Male African_American Very_Low 47
## 222 343 Female Other_Ethnic_Identity Middle 60
## 223 344 Male African_American Middle 55
## 224 345 Other_Identity African_American High 49
## 225 346 Female Other_Ethnic_Identity Very_Low 49
## 226 347 Female Other_Ethnic_Identity High 38
## 227 348 Other_Identity African_American Middle 55
## 228 349 Female Other_Ethnic_Identity Low 24
## 229 350 Other_Identity Asian Low 58
## 230 351 Male Hispanic Middle 53
## 231 352 Male White Middle 49
## 232 353 Other_Identity White Very_Low 35
## 233 354 Female Other_Ethnic_Identity Middle 39
## 234 355 Other_Identity White High 61
## 235 356 Other_Identity Other_Ethnic_Identity Middle 46
## 236 357 Other_Identity African_American Low 54
## 237 358 Female Other_Ethnic_Identity High 50
## 238 359 Female African_American Very_Low 55
## 239 360 Female Other_Ethnic_Identity Middle 41
## 240 361 Other_Identity African_American High 46
## 241 362 Other_Identity White Middle 32
## 242 363 Male White High 53
## 243 364 Female Other_Ethnic_Identity Very_Low 48
## 244 365 Female Hispanic Low 50
## 245 366 Female Asian High 57
## 246 367 Other_Identity Hispanic Middle 53
## 247 368 Other_Identity Other_Ethnic_Identity High 67
## 248 369 Other_Identity Asian Very_Low 57
## 249 370 Female Asian High 47
## 250 371 Male Asian Middle 49
## 251 372 Other_Identity Asian Middle 67
## 252 373 Male Asian Low 55
## 253 374 Male Other_Ethnic_Identity Low 56
## 254 375 Male Asian Middle 57
## 255 376 Male Hispanic Middle 42
## 256 377 Female Hispanic Low 62
## 257 378 Male African_American Middle 30
## 258 379 Female White Very_Low 58
## 259 380 Female White Very_Low 73
## 260 381 Female African_American Middle 45
## 261 382 Female Other_Ethnic_Identity High 49
## 262 383 Male Hispanic Low 54
## 263 384 Male White Middle 45
## 264 385 Other_Identity African_American Very_Low 55
## 265 386 Other_Identity White High 48
## 266 387 Female Other_Ethnic_Identity High 59
## 267 388 Other_Identity White Low 72
## 268 389 Other_Identity White Middle 38
## 269 390 Male African_American Middle 46
## 270 391 Female White Middle 58
## 271 392 Other_Identity African_American Very_Low 55
## 272 393 Male Other_Ethnic_Identity Very_Low 51
## 273 394 Female Other_Ethnic_Identity Middle 46
## 274 395 Female Other_Ethnic_Identity Low 53
## 275 396 Male Hispanic Low 53
## 276 397 Male Other_Ethnic_Identity Middle 56
## 277 398 Female Hispanic Very_Low 53
## 278 399 Female Hispanic Low 50
## 279 400 Male White High 36
## 280 401 Other_Identity Hispanic Low 56
## 281 402 Other_Identity African_American Very_Low 50
## 282 403 Male Other_Ethnic_Identity High 53
## 283 404 Other_Identity White Low 40
## 284 405 Female African_American Very_Low 44
## 285 406 Other_Identity Other_Ethnic_Identity High 58
## 286 407 Other_Identity Other_Ethnic_Identity High 49
## 287 408 Other_Identity African_American Middle 46
## 288 409 Male Hispanic Very_Low 38
## 289 410 Other_Identity White Very_Low 40
## 290 411 Other_Identity White Low 40
## 291 412 Other_Identity Asian High 48
## 292 413 Female Other_Ethnic_Identity Very_Low 62
## 293 414 Male Other_Ethnic_Identity High 51
## 294 415 Male African_American Low 41
## 295 416 Female Other_Ethnic_Identity Low 50
## 296 417 Male White Very_Low 53
## 297 418 Male Hispanic Low 41
## 298 419 Other_Identity Other_Ethnic_Identity Middle 39
## 299 420 Other_Identity Other_Ethnic_Identity Middle 61
## 300 421 Female Other_Ethnic_Identity Middle 55
## 301 422 Female Hispanic Very_Low 53
## 302 423 Other_Identity Other_Ethnic_Identity Middle 44
## 303 424 Male African_American Very_Low 52
## 304 425 Other_Identity African_American High 62
## 305 426 Other_Identity Asian Very_Low 46
## 306 427 Other_Identity Other_Ethnic_Identity Low 63
## 307 428 Male Asian Low 42
## 308 429 Female White High 62
## 309 430 Other_Identity White Middle 56
## 310 431 Other_Identity African_American Middle 42
## 311 432 Other_Identity Other_Ethnic_Identity Very_Low 50
## 312 433 Female Asian High 52
## 313 434 Other_Identity Asian Middle 38
## 314 435 Male White Very_Low 54
## 315 436 Female African_American Low 55
## 316 437 Female Hispanic Very_Low 72
## 317 438 Other_Identity Hispanic High 59
## 318 439 Female Hispanic Middle 58
## 319 440 Female White Very_Low 69
## 320 441 Male Other_Ethnic_Identity High 54
## 321 442 Male Other_Ethnic_Identity High 56
## 322 443 Other_Identity White High 51
## 323 444 Male Asian Low 60
## 324 445 Other_Identity White High 62
## 325 446 Female African_American Middle 55
## 326 447 Other_Identity Hispanic Low 41
## 327 448 Male Hispanic Middle 28
## 328 449 Female White Low 54
## 329 450 Male Hispanic Low 40
## 330 451 Female White Middle 57
## 331 452 Male Asian Middle 60
## 332 453 Other_Identity African_American Middle 44
## 333 454 Other_Identity African_American Middle 46
## 334 455 Female African_American Very_Low 60
## 335 456 Female Other_Ethnic_Identity High 62
## 336 457 Other_Identity African_American Middle 65
## 337 458 Male Hispanic Low 48
## 338 459 Other_Identity Hispanic Very_Low 41
## 339 460 Other_Identity Hispanic Low 54
## 340 461 Other_Identity Other_Ethnic_Identity Middle 37
## 341 462 Male Hispanic Middle 47
## 342 463 Male White Low 52
## 343 464 Other_Identity African_American Very_Low 41
## 344 465 Other_Identity African_American High 49
## 345 466 Male African_American Middle 41
## 346 467 Female Other_Ethnic_Identity Very_Low 40
## 347 468 Other_Identity Hispanic High 41
## 348 469 Male Hispanic Very_Low 29
## 349 470 Female African_American Middle 49
## 350 471 Other_Identity Other_Ethnic_Identity High 63
## 351 472 Other_Identity White Low 50
## 352 473 Female Other_Ethnic_Identity High 28
## 353 474 Female Hispanic Very_Low 55
## 354 475 Female Hispanic Very_Low 58
## 355 476 Male Asian Very_Low 45
## 356 477 Male Asian Low 44
## 357 478 Female Other_Ethnic_Identity High 45
## 358 479 Female Hispanic Low 50
## 359 480 Male White Low 49
## 360 481 Other_Identity Other_Ethnic_Identity High 50
## 361 482 Male Hispanic Low 49
## 362 483 Female Hispanic Low 49
## 363 484 Male Other_Ethnic_Identity Very_Low 55
## 364 485 Female White Low 36
## 365 486 Male White Middle 52
## 366 487 Other_Identity Hispanic High 58
## 367 488 Female Hispanic Middle 51
## 368 489 Female Hispanic Very_Low 52
## 369 490 Female Hispanic High 52
## 370 491 Male Other_Ethnic_Identity Low 38
## 371 492 Female Other_Ethnic_Identity Very_Low 59
## 372 493 Male Hispanic Low 48
## 373 494 Male Hispanic Low 30
## 374 495 Male Hispanic Very_Low 48
## 375 496 Other_Identity Asian Low 52
## 376 497 Female Asian Middle 43
## 377 498 Male African_American Middle 42
## 378 499 Male Hispanic Middle 49
## 379 500 Female Asian Very_Low 47
## 380 501 Female Hispanic Low 36
## 381 502 Other_Identity Other_Ethnic_Identity Low 25
## 382 503 Female Asian Very_Low 55
## 383 504 Female Hispanic Middle 41
## 384 505 Male African_American Very_Low 83
## 385 506 Female White Very_Low 48
## 386 507 Male African_American High 52
## 387 508 Male Other_Ethnic_Identity Very_Low 59
## 388 509 Female White Middle 29
## 389 510 Male White Very_Low 48
## 390 511 Other_Identity Other_Ethnic_Identity Middle 30
## 391 512 Female African_American High 38
## 392 513 Female Hispanic Low 58
## 393 514 Female Asian High 50
## 394 515 Male Asian Very_Low 54
## 395 516 Male Asian Low 58
## 396 517 Female Hispanic Very_Low 59
## 397 518 Other_Identity Hispanic High 37
## 398 519 Other_Identity Hispanic Low 48
## 399 520 Female Other_Ethnic_Identity Low 45
## 400 521 Other_Identity Asian High 54
## 401 522 Female Other_Ethnic_Identity Middle 56
## 402 523 Male Hispanic Low 57
## 403 524 Other_Identity African_American High 46
## 404 525 Female White Middle 50
## 405 526 Female African_American Low 52
## 406 527 Male Asian High 58
## 407 528 Female Other_Ethnic_Identity Very_Low 46
## 408 529 Male Hispanic Middle 46
## 409 530 Male Hispanic Low 32
## 410 531 Female Hispanic Middle 48
## 411 532 Female Hispanic High 58
## 412 533 Male African_American Very_Low 44
## 413 534 Other_Identity Asian High 46
## 414 535 Male Hispanic Very_Low 71
## 415 536 Other_Identity Hispanic High 56
## 416 537 Other_Identity Asian High 47
## 417 538 Other_Identity White Low 62
## 418 539 Male Asian High 56
## 419 540 Female Hispanic Very_Low 49
## 420 541 Other_Identity Other_Ethnic_Identity Very_Low 71
## 421 542 Other_Identity Other_Ethnic_Identity High 48
## 422 543 Female Hispanic Middle 51
## 423 544 Female African_American High 69
## 424 545 Female African_American Low 66
## 425 546 Other_Identity Other_Ethnic_Identity High 71
## 426 547 Male Other_Ethnic_Identity Low 43
## 427 548 Other_Identity Other_Ethnic_Identity Low 27
## 428 549 Male Hispanic Low 33
## 429 550 Other_Identity Asian Middle 56
## 430 551 Male Asian High 45
## 431 552 Male African_American High 50
## 432 553 Male White High 54
## 433 554 Male Other_Ethnic_Identity Middle 62
## 434 555 Male Hispanic Low 64
## 435 556 Male Hispanic Low 71
## 436 557 Male Other_Ethnic_Identity Low 39
## 437 558 Female Other_Ethnic_Identity Middle 62
## 438 559 Male African_American Very_Low 57
## 439 560 Female Asian Very_Low 43
## 440 561 Male Hispanic High 51
## 441 562 Other_Identity White Middle 51
## 442 563 Male Asian Low 44
## 443 564 Other_Identity Asian Very_Low 55
## 444 565 Female Hispanic High 42
## 445 566 Female Hispanic Low 43
## 446 567 Male White Middle 50
## 447 568 Female Asian High 47
## 448 569 Male African_American Very_Low 40
## 449 570 Male Asian High 64
## 450 571 Male Asian Very_Low 58
## 451 572 Male Asian High 47
## 452 573 Male Hispanic Very_Low 55
## 453 574 Female White Very_Low 38
## 454 575 Other_Identity Hispanic Very_Low 56
## 455 576 Other_Identity African_American High 56
## 456 577 Other_Identity Other_Ethnic_Identity High 62
## 457 578 Female Asian Low 55
## 458 579 Male African_American High 35
## 459 580 Female White Very_Low 51
## 460 581 Other_Identity White Very_Low 57
## 461 582 Female Asian Very_Low 36
## 462 583 Female Hispanic Middle 52
## 463 584 Other_Identity Other_Ethnic_Identity Low 47
## 464 585 Male White Low 57
## 465 586 Male Hispanic Very_Low 52
## 466 587 Male Other_Ethnic_Identity Low 34
## 467 588 Female Hispanic Low 50
## 468 589 Other_Identity Asian Very_Low 58
## 469 590 Female Hispanic Low 24
## 470 591 Female Hispanic Middle 45
## 471 592 Male Other_Ethnic_Identity Middle 37
## 472 593 Female African_American Low 58
## 473 594 Male White High 57
## 474 595 Other_Identity African_American High 60
## 475 596 Male Other_Ethnic_Identity High 67
## 476 597 Female Asian High 48
## 477 598 Female Hispanic High 48
## 478 599 Male White Low 60
## 479 600 Female Hispanic High 46
## 480 601 Male Asian Middle 34
## 481 602 Other_Identity Hispanic Very_Low 52
## 482 603 Female Hispanic Low 45
## 483 604 Female Other_Ethnic_Identity High 43
## 484 605 Male Asian Middle 49
## 485 606 Other_Identity Hispanic Very_Low 37
## 486 607 Male White Low 51
## 487 608 Male Hispanic Very_Low 46
## 488 609 Female African_American Middle 59
## 489 610 Other_Identity Hispanic High 50
## 490 611 Male Hispanic High 45
## 491 612 Female White Very_Low 52
## 492 613 Other_Identity Hispanic Low 36
## 493 614 Male Other_Ethnic_Identity Very_Low 59
## 494 615 Other_Identity African_American High 51
## 495 616 Female Hispanic Low 58
## 496 617 Male White Very_Low 49
## 497 618 Other_Identity African_American Low 51
## 498 619 Other_Identity White Middle 54
## 499 620 Other_Identity Asian Low 41
## 500 621 Male Asian Low 64
## 501 622 Male Hispanic High 52
## 502 623 Male Hispanic Low 49
## 503 624 Male White High 44
## 504 625 Other_Identity White High 57
## 505 626 Female Hispanic Low 49
## 506 627 Female White High 51
## 507 628 Other_Identity Other_Ethnic_Identity High 50
## 508 629 Male White Middle 53
## 509 630 Other_Identity Other_Ethnic_Identity Very_Low 59
## 510 631 Female African_American High 40
## 511 632 Female White Low 48
## 512 633 Female Hispanic Low 68
## 513 634 Male Other_Ethnic_Identity High 65
## 514 635 Other_Identity Asian High 46
## 515 636 Female Asian Very_Low 44
## 516 637 Male African_American Very_Low 55
## 517 638 Other_Identity White High 52
## 518 639 Other_Identity Other_Ethnic_Identity Very_Low 49
## 519 640 Other_Identity Other_Ethnic_Identity Low 37
## 520 641 Female White High 66
## 521 642 Male Other_Ethnic_Identity Very_Low 60
## 522 643 Other_Identity Hispanic Low 61
## 523 644 Male White Low 46
## 524 645 Male White High 40
## 525 646 Male Other_Ethnic_Identity Very_Low 63
## 526 647 Female White Very_Low 48
## 527 648 Male White Very_Low 59
## 528 649 Female White Low 59
## 529 650 Male Asian High 51
## 530 651 Male Asian Middle 42
## 531 652 Male White Low 38
## 532 653 Other_Identity Asian Very_Low 73
## 533 654 Female Other_Ethnic_Identity Middle 51
## 534 655 Other_Identity Asian Low 53
## 535 656 Other_Identity Asian Low 32
## 536 657 Female White High 39
## 537 658 Female Asian High 63
## 538 659 Female White Middle 36
## 539 660 Male Hispanic Middle 69
## 540 661 Other_Identity Hispanic Middle 36
## 541 662 Female Other_Ethnic_Identity Very_Low 55
## 542 663 Other_Identity Asian Middle 38
## 543 664 Female African_American Low 69
## 544 665 Other_Identity Hispanic Middle 36
## 545 666 Female Hispanic High 48
## 546 667 Male Other_Ethnic_Identity Middle 41
## 547 668 Male African_American Middle 53
## 548 669 Other_Identity Hispanic Very_Low 53
## 549 670 Other_Identity Asian Middle 47
## 550 671 Male Other_Ethnic_Identity High 46
## 551 672 Other_Identity African_American Middle 36
## 552 673 Male Asian Middle 60
## 553 674 Other_Identity Hispanic Low 56
## 554 675 Other_Identity African_American High 46
## 555 676 Male Other_Ethnic_Identity Very_Low 32
## 556 677 Female African_American Middle 64
## 557 678 Female Hispanic Middle 54
## 558 679 Female African_American High 52
## 559 680 Other_Identity Hispanic Middle 50
## 560 681 Male White High 43
## 561 682 Other_Identity White Middle 61
## 562 683 Female Hispanic High 72
## 563 684 Other_Identity Asian High 39
## 564 685 Female African_American Low 39
## 565 686 Other_Identity Hispanic Very_Low 63
## 566 687 Male Hispanic Very_Low 22
## 567 688 Other_Identity Other_Ethnic_Identity Middle 53
## 568 689 Female White Very_Low 48
## 569 690 Female Hispanic Very_Low 48
## 570 691 Female Asian Middle 66
## 571 692 Other_Identity Asian Middle 31
## 572 693 Male Hispanic Very_Low 47
## 573 694 Male Asian Very_Low 36
## 574 695 Male Asian Very_Low 65
## 575 696 Female Asian Middle 29
## 576 697 Other_Identity Other_Ethnic_Identity High 44
## 577 698 Male African_American Middle 52
## 578 699 Male Asian Middle 61
## 579 700 Male African_American Low 56
## 580 701 Male Asian Middle 73
## 581 702 Male African_American Low 70
## 582 703 Male Hispanic Middle 49
## 583 704 Other_Identity African_American Low 54
## 584 705 Other_Identity White Middle 37
## 585 706 Male Asian High 50
## 586 707 Male African_American High 59
## 587 708 Male African_American High 46
## 588 709 Female African_American Low 55
## 589 710 Male Hispanic Very_Low 48
## 590 711 Male Other_Ethnic_Identity Low 50
## 591 712 Male Asian High 45
## 592 713 Female White High 45
## 593 714 Male Hispanic Very_Low 49
## 594 715 Male Other_Ethnic_Identity Middle 54
## 595 716 Female African_American Very_Low 60
## 596 717 Male White Low 38
## 597 718 Male Asian Low 67
## 598 719 Male African_American Low 62
## 599 720 Male Other_Ethnic_Identity Very_Low 50
## 600 721 Male Other_Ethnic_Identity Low 47
## 601 722 Male Asian Very_Low 60
## 602 723 Female Asian High 48
## 603 724 Female Asian Middle 41
## 604 725 Male Asian Very_Low 44
## 605 726 Other_Identity Asian Very_Low 34
## 606 727 Male Other_Ethnic_Identity Very_Low 29
## 607 728 Male Asian Very_Low 71
## 608 729 Male White Middle 53
## 609 730 Female African_American Low 45
## 610 731 Male Asian Middle 50
## 611 732 Male White Middle 48
## 612 733 Female White Low 51
## 613 734 Male Other_Ethnic_Identity Very_Low 58
## 614 735 Other_Identity Hispanic Very_Low 54
## 615 736 Female Asian Very_Low 53
## 616 737 Male Other_Ethnic_Identity Very_Low 31
## 617 738 Male African_American High 49
## 618 739 Female Other_Ethnic_Identity High 45
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## 1225 1346 Other_Identity Asian Low 45
## 1226 1347 Female Asian Low 29
## 1227 1348 Male Other_Ethnic_Identity High 51
## 1228 1349 Female Other_Ethnic_Identity Middle 46
## 1229 1350 Other_Identity White Low 54
## 1230 1351 Other_Identity Other_Ethnic_Identity Middle 49
## 1231 1352 Other_Identity African_American Low 37
## 1232 1353 Male White Low 36
## 1233 1354 Female Hispanic Low 51
## 1234 1355 Other_Identity Other_Ethnic_Identity Very_Low 43
## 1235 1356 Male African_American Low 35
## 1236 1357 Male African_American High 47
## 1237 1358 Female White Middle 41
## 1238 1359 Female African_American Low 43
## 1239 1360 Female Asian Middle 49
## 1240 1361 Female Asian Low 47
## 1241 1362 Male White Very_Low 17
## 1242 1363 Male Asian Very_Low 61
## 1243 1364 Male Other_Ethnic_Identity Very_Low 63
## 1244 1365 Female Other_Ethnic_Identity Middle 62
## 1245 1366 Female Hispanic High 31
## 1246 1367 Male Other_Ethnic_Identity Middle 46
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## 1248 1369 Female African_American Very_Low 50
## 1249 1370 Other_Identity White Very_Low 59
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## 1251 1372 Female Other_Ethnic_Identity High 52
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## 1254 1375 Female White Very_Low 62
## 1255 1376 Other_Identity Hispanic High 52
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## 1257 1378 Female Asian Low 38
## 1258 1379 Male Asian Very_Low 49
## 1259 1380 Female Asian Low 60
## 1260 1381 Female White Low 43
## 1261 1382 Male Asian High 47
## 1262 1383 Male Other_Ethnic_Identity Low 49
## 1263 1384 Other_Identity Other_Ethnic_Identity Middle 54
## 1264 1385 Female Other_Ethnic_Identity Very_Low 35
## 1265 1386 Female White Middle 56
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## 1267 1388 Other_Identity African_American Middle 52
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## 1269 1390 Other_Identity Asian Middle 33
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## 1271 1392 Other_Identity Hispanic Very_Low 50
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## 1274 1395 Male Other_Ethnic_Identity Very_Low 40
## 1275 1396 Other_Identity African_American Middle 46
## 1276 1397 Male African_American Middle 43
## 1277 1398 Female Asian Middle 43
## 1278 1399 Female White Very_Low 43
## 1279 1400 Other_Identity African_American Very_Low 40
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## 1282 1403 Male African_American Low 62
## 1283 1404 Male Asian Very_Low 64
## 1284 1405 Male African_American Low 62
## 1285 1406 Other_Identity Hispanic Middle 50
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## 1287 1408 Other_Identity White Very_Low 49
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## 1291 1412 Male Other_Ethnic_Identity Very_Low 45
## 1292 1413 Male White High 41
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## 1297 1418 Female Asian Very_Low 83
## 1298 1419 Other_Identity White Very_Low 64
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## 1301 1422 Male White Very_Low 62
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## 1304 1425 Other_Identity African_American Low 54
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## 1306 1427 Male Hispanic Very_Low 61
## 1307 1428 Male Asian Low 42
## 1308 1429 Male Other_Ethnic_Identity Middle 46
## 1309 1430 Female Hispanic High 58
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## 1311 1432 Other_Identity White Low 41
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## 1313 1434 Other_Identity Other_Ethnic_Identity Very_Low 49
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## 1315 1436 Male Hispanic Low 22
## 1316 1437 Other_Identity Asian High 49
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## 1319 1440 Female African_American Very_Low 52
## 1320 1441 Other_Identity White Middle 58
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## 1322 1443 Female Other_Ethnic_Identity Middle 43
## 1323 1444 Other_Identity African_American High 53
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## 1326 1447 Male Other_Ethnic_Identity Middle 51
## 1327 1448 Female Asian Very_Low 52
## 1328 1449 Male Hispanic Low 63
## 1329 1450 Male Other_Ethnic_Identity Middle 41
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## 1335 1456 Other_Identity Other_Ethnic_Identity Middle 57
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## 1339 1460 Male Other_Ethnic_Identity Low 41
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## 1341 1462 Other_Identity White Low 45
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## 1344 1465 Male African_American High 52
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## 1346 1467 Other_Identity Other_Ethnic_Identity High 53
## 1347 1468 Female White Very_Low 63
## 1348 1469 Male Other_Ethnic_Identity High 58
## 1349 1470 Male White Middle 54
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## 1351 1472 Female African_American Middle 40
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## 1354 1475 Female Other_Ethnic_Identity Middle 47
## 1355 1476 Male Asian Very_Low 54
## 1356 1477 Male Hispanic Low 49
## 1357 1478 Male Asian High 57
## 1358 1479 Male African_American Very_Low 52
## 1359 1480 Other_Identity White Middle 42
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## 1365 1486 Male Other_Ethnic_Identity Very_Low 49
## 1366 1487 Male Other_Ethnic_Identity High 45
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## 1369 1490 Female Asian Very_Low 50
## 1370 1491 Male Other_Ethnic_Identity Very_Low 44
## 1371 1492 Other_Identity Asian Low 45
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## 1374 1495 Other_Identity Asian High 80
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## 1378 1499 Female African_American Very_Low 45
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## 1383 1504 Male Asian Low 62
## 1384 1505 Female Other_Ethnic_Identity Middle 38
## 1385 1506 Other_Identity Asian Middle 31
## 1386 1507 Other_Identity African_American Middle 42
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## 1388 1509 Female White Middle 47
## 1389 1510 Female African_American Very_Low 56
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## 1397 1518 Female African_American Middle 55
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## 1402 1523 Other_Identity Other_Ethnic_Identity Low 50
## 1403 1524 Female White Very_Low 53
## 1404 1525 Female Asian Very_Low 47
## 1405 1526 Male Asian Middle 56
## 1406 1527 Other_Identity White Very_Low 45
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## 1408 1529 Male Other_Ethnic_Identity Very_Low 68
## 1409 1530 Male White Very_Low 41
## 1410 1531 Male Other_Ethnic_Identity Low 43
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## 1413 1534 Male Hispanic Low 59
## 1414 1535 Male Other_Ethnic_Identity Low 51
## 1415 1536 Male Hispanic Very_Low 45
## 1416 1537 Other_Identity African_American Very_Low 59
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## 1419 1540 Other_Identity African_American Middle 64
## 1420 1541 Male White Very_Low 29
## 1421 1542 Female White Very_Low 47
## 1422 1543 Female Asian Middle 35
## 1423 1544 Male Hispanic Middle 52
## 1424 1545 Male Other_Ethnic_Identity High 48
## 1425 1546 Other_Identity African_American Very_Low 59
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## 1428 1549 Other_Identity White Low 63
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## 1430 1551 Male Hispanic Very_Low 60
## 1431 1552 Female Other_Ethnic_Identity Very_Low 56
## 1432 1553 Other_Identity Other_Ethnic_Identity Very_Low 43
## 1433 1554 Male Other_Ethnic_Identity Middle 36
## 1434 1555 Male Other_Ethnic_Identity Middle 39
## 1435 1556 Female Asian Middle 40
## 1436 1557 Male Hispanic Middle 46
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## 1438 1559 Male White Middle 43
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## 1444 1565 Male White Middle 45
## 1445 1566 Female Other_Ethnic_Identity High 39
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## 1448 1569 Male African_American Very_Low 41
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## 1452 1573 Other_Identity Other_Ethnic_Identity Low 50
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## 1454 1575 Female Hispanic Very_Low 40
## 1455 1576 Male Hispanic Middle 33
## 1456 1577 Male Hispanic Middle 43
## 1457 1578 Female Asian High 68
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## 1463 1584 Male Other_Ethnic_Identity Low 62
## 1464 1585 Other_Identity White Very_Low 65
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## 1467 1588 Male Hispanic Very_Low 49
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## 1471 1592 Female Hispanic Low 54
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## 1491 1612 Male White High 61
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## 1496 1617 Male Asian High 38
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## 1500 1621 Other_Identity Other_Ethnic_Identity Low 47
## 1501 1622 Other_Identity Other_Ethnic_Identity High 37
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## 1503 1624 Other_Identity Other_Ethnic_Identity Middle 51
## 1504 1625 Female Other_Ethnic_Identity High 63
## 1505 1626 Other_Identity Asian Very_Low 57
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## 1509 1630 Male White Very_Low 57
## 1510 1631 Female Asian Very_Low 48
## 1511 1632 Male Asian Middle 44
## 1512 1633 Male African_American Very_Low 42
## 1513 1634 Other_Identity Other_Ethnic_Identity High 48
## 1514 1635 Other_Identity African_American Very_Low 46
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## 1517 1638 Female Asian Low 51
## 1518 1639 Female Other_Ethnic_Identity Very_Low 52
## 1519 1640 Male White Low 52
## 1520 1641 Female White Low 40
## 1521 1642 Male White Very_Low 47
## 1522 1643 Female Other_Ethnic_Identity Middle 47
## 1523 1644 Male Other_Ethnic_Identity Middle 54
## 1524 1645 Female Other_Ethnic_Identity Very_Low 42
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## 1527 1648 Male Asian Very_Low 69
## 1528 1649 Male Hispanic Very_Low 58
## 1529 1650 Other_Identity Other_Ethnic_Identity Very_Low 50
## 1530 1651 Female Other_Ethnic_Identity Middle 49
## 1531 1652 Other_Identity White High 32
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## 1534 1655 Male White Low 69
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## 1536 1657 Female White Low 54
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## 1540 1661 Male Other_Ethnic_Identity Middle 45
## 1541 1662 Male Hispanic Very_Low 49
## 1542 1663 Male Asian Low 33
## 1543 1664 Male Other_Ethnic_Identity Very_Low 64
## 1544 1665 Male White High 47
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## 1550 1671 Female Asian Low 46
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## 1552 1673 Other_Identity African_American High 49
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## 1556 1677 Female White High 47
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## 1558 1679 Male Hispanic High 50
## 1559 1680 Female Other_Ethnic_Identity High 41
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## 1563 1684 Female Other_Ethnic_Identity Middle 34
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## 1573 1694 Other_Identity Other_Ethnic_Identity Middle 22
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## 1586 1707 Female Other_Ethnic_Identity Low 43
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## 1589 1710 Female Asian Middle 55
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## 1591 1712 Male White Very_Low 52
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## 1593 1714 Male White Very_Low 50
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## 1603 1724 Female Asian Very_Low 51
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## 1608 1729 Female Asian High 49
## 1609 1730 Female Asian Middle 57
## 1610 1731 Female African_American Middle 33
## 1611 1732 Female Hispanic Low 58
## 1612 1733 Female Asian Middle 54
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## 1618 1739 Other_Identity Asian Low 46
## 1619 1740 Male Other_Ethnic_Identity High 50
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## 1622 1743 Male Other_Ethnic_Identity Middle 40
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## 1626 1747 Male Other_Ethnic_Identity Very_Low 50
## 1627 1748 Male African_American Very_Low 55
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## 1630 1751 Female Asian Low 64
## 1631 1752 Male African_American High 63
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## 1636 1757 Female White Low 47
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## 1640 1761 Male Other_Ethnic_Identity Middle 47
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## 1644 1765 Male White High 50
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## 1646 1767 Other_Identity Hispanic High 58
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## 1652 1773 Female African_American Middle 51
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## 1654 1775 Male African_American High 65
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## 1659 1780 Male Other_Ethnic_Identity Middle 52
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## 1664 1785 Female Other_Ethnic_Identity High 74
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## 1693 1814 Female Asian Low 57
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## 1695 1816 Female African_American Very_Low 50
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## 1700 1821 Female African_American High 68
## 1701 1822 Other_Identity Asian Low 38
## 1702 1823 Female Other_Ethnic_Identity Low 40
## 1703 1824 Other_Identity Hispanic Very_Low 42
## 1704 1825 Male White Middle 78
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## 1722 1843 Male White Low 35
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## 1728 1849 Male Other_Ethnic_Identity Middle 42
## 1729 1850 Male White Middle 48
## 1730 1851 Other_Identity White Low 36
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## 1733 1854 Male Other_Ethnic_Identity High 46
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## 1738 1859 Other_Identity Other_Ethnic_Identity Low 42
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## 1740 1861 Other_Identity Other_Ethnic_Identity High 53
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## 1743 1864 Male African_American Middle 61
## 1744 1865 Female African_American Very_Low 33
## 1745 1866 Male African_American Low 49
## 1746 1867 Female Other_Ethnic_Identity High 52
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## 1751 1872 Male White High 42
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## 1753 1874 Other_Identity Other_Ethnic_Identity Low 41
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## 1756 1877 Female Other_Ethnic_Identity High 43
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## 1758 1879 Female African_American Very_Low 60
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## 1760 1881 Male African_American Middle 42
## 1761 1882 Male Asian Middle 19
## 1762 1883 Male Asian High 47
## 1763 1884 Female Asian Middle 42
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## 1765 1886 Female Hispanic High 57
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## 1770 1891 Female Hispanic High 38
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## 1774 1895 Female Other_Ethnic_Identity Very_Low 51
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## 1777 1898 Female Other_Ethnic_Identity Middle 40
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## 1781 1902 Female White High 55
## 1782 1903 Female White Very_Low 51
## 1783 1904 Female Other_Ethnic_Identity High 60
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## 1786 1907 Other_Identity Hispanic High 36
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## 1790 1911 Female Hispanic Very_Low 58
## 1791 1912 Female Hispanic Middle 43
## 1792 1913 Male White Middle 60
## 1793 1914 Male Hispanic High 55
## 1794 1915 Female White Middle 69
## 1795 1916 Female African_American Low 59
## 1796 1917 Other_Identity Hispanic Middle 48
## 1797 1918 Female Other_Ethnic_Identity Low 40
## 1798 1919 Male Asian High 52
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## 1803 1924 Female Asian Very_Low 46
## 1804 1925 Other_Identity White Low 50
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## 1809 1930 Male African_American Very_Low 37
## 1810 1931 Female Hispanic Low 43
## 1811 1932 Female Other_Ethnic_Identity Middle 43
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## 1814 1935 Male Other_Ethnic_Identity High 50
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## 1816 1937 Other_Identity White Middle 63
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## 1818 1939 Other_Identity Asian Very_Low 38
## 1819 1940 Other_Identity White High 70
## 1820 1941 Female Asian High 48
## 1821 1942 Male African_American Middle 45
## 1822 1943 Female Asian Middle 64
## 1823 1944 Other_Identity African_American Very_Low 56
## 1824 1945 Male Other_Ethnic_Identity High 38
## 1825 1946 Male African_American High 44
## 1826 1947 Female African_American Low 41
## 1827 1948 Other_Identity White Low 51
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## 1829 1950 Male African_American Very_Low 49
## 1830 1951 Male Hispanic High 58
## 1831 1952 Male White Low 47
## 1832 1953 Female Asian High 26
## 1833 1954 Male Asian Very_Low 36
## 1834 1955 Male White Very_Low 53
## 1835 1956 Male African_American Middle 32
## 1836 1957 Other_Identity Hispanic Very_Low 46
## 1837 1958 Male African_American High 76
## 1838 1959 Female White Middle 64
## 1839 1960 Other_Identity Hispanic Low 43
## 1840 1961 Female White Low 55
## 1841 1962 Male African_American High 63
## 1842 1963 Male Other_Ethnic_Identity Low 54
## 1843 1964 Female Hispanic High 59
## 1844 1965 Female African_American Very_Low 64
## 1845 1966 Male Asian Low 37
## 1846 1967 Other_Identity Hispanic High 49
## 1847 1968 Female Hispanic Low 39
## 1848 1969 Other_Identity White Very_Low 57
## 1849 1970 Other_Identity African_American Low 52
## 1850 1971 Other_Identity Asian Very_Low 39
## 1851 1972 Female Other_Ethnic_Identity Very_Low 35
## 1852 1973 Female Asian Very_Low 42
## 1853 1974 Other_Identity Other_Ethnic_Identity Very_Low 42
## 1854 1975 Other_Identity Asian Very_Low 43
## 1855 1976 Male White Middle 47
## 1856 1977 Other_Identity White Middle 59
## 1857 1978 Female African_American High 45
## 1858 1979 Female White High 63
## 1859 1980 Other_Identity African_American Middle 53
## 1860 1981 Male White Low 49
## 1861 1982 Male Asian Very_Low 54
## 1862 1983 Female Other_Ethnic_Identity Low 41
## 1863 1984 Female Asian Low 45
## 1864 1985 Male Other_Ethnic_Identity Middle 49
## 1865 1986 Male White Middle 50
## 1866 1987 Other_Identity Other_Ethnic_Identity Very_Low 44
## 1867 1988 Other_Identity Asian High 56
## 1868 1989 Male White High 62
## 1869 1990 Female Asian Middle 40
## 1870 1991 Male African_American Middle 47
## 1871 1992 Other_Identity Asian Middle 59
## 1872 1993 Female Asian Low 48
## 1873 1994 Male Asian High 55
## 1874 1995 Female Asian High 57
## 1875 1996 Female Asian Middle 64
## 1876 1997 Female White High 41
## 1877 1998 Other_Identity African_American Low 44
## 1878 1999 Other_Identity Hispanic Low 51
## 1879 2000 Female Other_Ethnic_Identity Low 43
## 1880 2001 Other_Identity African_American Middle 44
## 1881 2002 Other_Identity White Low 61
## 1882 2003 Other_Identity White Very_Low 44
## 1883 2004 Other_Identity Hispanic Low 61
## 1884 2005 Male White High 64
## 1885 2006 Male White Low 50
## 1886 2007 Male Hispanic Very_Low 69
## 1887 2008 Male Other_Ethnic_Identity High 37
## 1888 2009 Other_Identity Hispanic High 38
## 1889 2010 Male Asian Middle 35
## 1890 2011 Male African_American Very_Low 57
## 1891 2012 Male Asian High 45
## 1892 2013 Male Asian Middle 50
## 1893 2014 Other_Identity African_American Low 46
## 1894 2015 Other_Identity White Low 41
## 1895 2016 Male Hispanic Middle 63
## 1896 2017 Female Asian Very_Low 49
## 1897 2018 Female African_American High 25
## 1898 2019 Male Asian Low 59
## 1899 2020 Male Hispanic Middle 58
## 1900 2021 Female Hispanic Low 53
## 1901 2022 Female White High 62
## 1902 2023 Other_Identity African_American Low 52
## 1903 2024 Male Asian Low 72
## 1904 2025 Male Other_Ethnic_Identity Low 41
## 1905 2026 Male African_American Low 57
## 1906 2027 Female Hispanic Very_Low 47
## 1907 2028 Male African_American Middle 42
## 1908 2029 Female Hispanic Very_Low 52
## 1909 2030 Other_Identity Hispanic Low 38
## 1910 2031 Male Asian Very_Low 50
## 1911 2032 Female African_American Middle 37
## 1912 2033 Other_Identity White High 52
## 1913 2034 Female African_American High 55
## 1914 2035 Female White Very_Low 58
## 1915 2036 Female Hispanic Low 38
## 1916 2037 Female Other_Ethnic_Identity Middle 54
## 1917 2038 Other_Identity Other_Ethnic_Identity Middle 45
## 1918 2039 Female Hispanic Middle 50
## 1919 2040 Male Other_Ethnic_Identity Low 59
## 1920 2041 Female White Middle 53
## 1921 2042 Male African_American Very_Low 34
## 1922 2043 Other_Identity Hispanic High 49
## 1923 2044 Male Asian Very_Low 46
## 1924 2045 Other_Identity Other_Ethnic_Identity Middle 59
## 1925 2046 Male Asian Low 40
## 1926 2047 Female Other_Ethnic_Identity Very_Low 44
## 1927 2048 Male Asian Low 57
## 1928 2049 Other_Identity Hispanic Very_Low 36
## 1929 2050 Other_Identity African_American Very_Low 44
## 1930 2051 Male African_American Middle 61
## 1931 2052 Female Hispanic Middle 24
## 1932 2053 Other_Identity White Very_Low 41
## 1933 2054 Other_Identity White Low 61
## 1934 2055 Female Other_Ethnic_Identity High 56
## 1935 2056 Male White High 44
## 1936 2057 Female White Low 37
## 1937 2058 Other_Identity African_American Middle 55
## 1938 2059 Male Hispanic High 54
## 1939 2060 Other_Identity White Low 46
## 1940 2061 Other_Identity African_American Low 47
## 1941 2062 Other_Identity Asian Low 52
## 1942 2063 Male African_American High 55
## 1943 2064 Other_Identity Hispanic Very_Low 57
## 1944 2065 Female Asian High 44
## 1945 2066 Female White Middle 57
## 1946 2067 Male Hispanic Middle 47
## 1947 2068 Other_Identity Asian High 59
## 1948 2069 Female White High 27
## 1949 2070 Other_Identity African_American High 53
## 1950 2071 Female African_American High 47
## 1951 2072 Male White Middle 60
## 1952 2073 Male Asian High 58
## 1953 2074 Female Other_Ethnic_Identity Middle 45
## 1954 2075 Female Hispanic Low 40
## 1955 2076 Female African_American High 40
## 1956 2077 Other_Identity Other_Ethnic_Identity Low 29
## 1957 2078 Female Asian Very_Low 58
## 1958 2079 Female Hispanic Middle 58
## 1959 2080 Other_Identity Hispanic Low 41
## 1960 2081 Male Asian High 56
## 1961 2082 Other_Identity White High 57
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## 1963 2084 Female White Low 45
## 1964 2085 Male African_American Low 53
## 1965 2086 Male African_American High 44
## 1966 2087 Male Asian Middle 64
## 1967 2088 Female White High 53
## 1968 2089 Male White High 53
## 1969 2090 Male Hispanic Low 52
## 1970 2091 Female White High 30
## 1971 2092 Other_Identity Hispanic Low 35
## 1972 2093 Female White Low 43
## 1973 2094 Male African_American Middle 33
## 1974 2095 Other_Identity Hispanic Low 54
## 1975 2096 Male Asian Very_Low 63
## 1976 2097 Male Asian High 49
## 1977 2098 Male Other_Ethnic_Identity Very_Low 49
## 1978 2099 Other_Identity Other_Ethnic_Identity Middle 49
## 1979 2100 Other_Identity African_American Middle 66
## 1980 2101 Other_Identity Other_Ethnic_Identity Very_Low 57
## 1981 2102 Female Hispanic Low 60
## 1982 2103 Female Hispanic High 56
## 1983 2104 Male White High 45
## 1984 2105 Male White Middle 45
## 1985 2106 Other_Identity White Very_Low 68
## 1986 2107 Other_Identity White High 56
## 1987 2108 Male African_American Low 52
## 1988 2109 Male Other_Ethnic_Identity Very_Low 45
## 1989 2110 Male Hispanic Middle 55
## 1990 2111 Female Other_Ethnic_Identity High 33
## 1991 2112 Other_Identity Hispanic High 39
## 1992 2113 Female Other_Ethnic_Identity High 49
## 1993 2114 Male Other_Ethnic_Identity Low 45
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## 1995 2116 Other_Identity Hispanic Low 44
## 1996 2117 Male African_American Low 65
## 1997 2118 Male White Low 45
## 1998 2119 Female White Low 66
## 1999 2120 Male White Low 60
## 2000 2121 Male Asian Low 59
## 2001 2122 Male Asian High 45
## 2002 2123 Other_Identity Asian Middle 30
## 2003 2124 Male Other_Ethnic_Identity Low 67
## 2004 2125 Other_Identity Asian High 53
## 2005 2126 Female Asian Very_Low 63
## 2006 2127 Other_Identity African_American Middle 55
## 2007 2128 Female African_American Very_Low 57
## 2008 2129 Female White Very_Low 46
## 2009 2130 Other_Identity White High 41
## 2010 2131 Male White High 47
## 2011 2132 Male Other_Ethnic_Identity Very_Low 56
## 2012 2133 Male Hispanic Very_Low 44
## 2013 2134 Female Asian High 45
## 2014 2135 Other_Identity African_American High 44
## 2015 2136 Female African_American High 64
## 2016 2137 Female Asian High 59
## 2017 2138 Other_Identity African_American Middle 50
## 2018 2139 Female Asian Very_Low 40
## 2019 2140 Female White Middle 44
## 2020 2141 Male White Middle 51
## 2021 2142 Male Hispanic Middle 52
## 2022 2143 Other_Identity White Very_Low 39
## 2023 2144 Other_Identity African_American Middle 38
## 2024 2145 Other_Identity Other_Ethnic_Identity Low 40
## 2025 2146 Female Other_Ethnic_Identity Very_Low 48
## 2026 2147 Male White Very_Low 43
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## 2028 2149 Male Other_Ethnic_Identity High 56
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## 2032 2153 Female Other_Ethnic_Identity Low 52
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## 4281 4402 Female Asian Very_Low 49
## 4282 4403 Other_Identity Other_Ethnic_Identity Low 45
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## 4285 4406 Female Other_Ethnic_Identity Very_Low 40
## 4286 4407 Male African_American High 64
## 4287 4408 Male White Very_Low 32
## 4288 4409 Male Hispanic Low 60
## 4289 4410 Male Other_Ethnic_Identity Middle 59
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## 4291 4412 Male Other_Ethnic_Identity Very_Low 42
## 4292 4413 Male Other_Ethnic_Identity Middle 51
## 4293 4414 Other_Identity Other_Ethnic_Identity Low 44
## 4294 4415 Female Other_Ethnic_Identity Low 36
## 4295 4416 Other_Identity Hispanic High 46
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## 4297 4418 Male African_American High 34
## 4298 4419 Female Asian Low 35
## 4299 4420 Male White Low 49
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## 4304 4425 Other_Identity African_American Middle 35
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## 4309 4430 Other_Identity White High 49
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## 4312 4433 Male Asian Very_Low 51
## 4313 4434 Female Asian High 62
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## 4315 4436 Other_Identity African_American High 42
## 4316 4437 Male Hispanic Low 52
## 4317 4438 Other_Identity African_American Middle 66
## 4318 4439 Male Hispanic Middle 50
## 4319 4440 Female Hispanic Very_Low 26
## 4320 4441 Female Other_Ethnic_Identity Very_Low 47
## 4321 4442 Male White High 53
## 4322 4443 Female Asian Low 34
## 4323 4444 Male Other_Ethnic_Identity High 74
## 4324 4445 Male African_American High 39
## 4325 4446 Male White Middle 35
## 4326 4447 Other_Identity Other_Ethnic_Identity High 72
## 4327 4448 Male Other_Ethnic_Identity Low 48
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## 4330 4451 Female Hispanic Low 18
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## 4335 4456 Other_Identity African_American Very_Low 62
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## 4338 4459 Male Hispanic Very_Low 50
## 4339 4460 Other_Identity Asian Very_Low 46
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## 4342 4463 Male Hispanic High 47
## 4343 4464 Other_Identity Other_Ethnic_Identity Middle 44
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## 4345 4466 Male White Low 54
## 4346 4467 Other_Identity Other_Ethnic_Identity Very_Low 43
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## 4366 4487 Male Other_Ethnic_Identity Middle 68
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## 4372 4493 Other_Identity White Very_Low 54
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## 4384 4505 Male African_American Middle 57
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## 4387 4508 Female White High 66
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## 4392 4513 Female Other_Ethnic_Identity Middle 59
## 4393 4514 Female Other_Ethnic_Identity High 61
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## 4396 4517 Male Other_Ethnic_Identity Middle 44
## 4397 4518 Male Hispanic Very_Low 64
## 4398 4519 Male Asian Very_Low 57
## 4399 4520 Male African_American Very_Low 39
## 4400 4521 Other_Identity White Very_Low 40
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## 4402 4523 Other_Identity African_American High 51
## 4403 4524 Male Other_Ethnic_Identity Low 42
## 4404 4525 Female Asian Middle 71
## 4405 4526 Male Other_Ethnic_Identity High 36
## 4406 4527 Other_Identity White Low 36
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## 4408 4529 Female White Low 51
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## 4410 4531 Female Asian Middle 52
## 4411 4532 Female African_American High 50
## 4412 4533 Female Hispanic Very_Low 62
## 4413 4534 Male Hispanic High 46
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## 4415 4536 Other_Identity White High 82
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## 4417 4538 Male Hispanic High 70
## 4418 4539 Male White High 61
## 4419 4540 Female African_American Very_Low 45
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## 4434 4555 Female Other_Ethnic_Identity Very_Low 49
## 4435 4556 Male Other_Ethnic_Identity Very_Low 56
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## 4438 4559 Other_Identity White Very_Low 69
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## 4440 4561 Female White Very_Low 35
## 4441 4562 Male Other_Ethnic_Identity Low 45
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## 4443 4564 Male Other_Ethnic_Identity Very_Low 29
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## 4463 4584 Female Other_Ethnic_Identity Middle 53
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## 4467 4588 Other_Identity White Very_Low 51
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## 4469 4590 Female Other_Ethnic_Identity Very_Low 45
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## 4479 4600 Other_Identity African_American High 52
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## 4488 4609 Female Asian Low 49
## 4489 4610 Female Other_Ethnic_Identity Low 58
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## 4497 4618 Male Asian Very_Low 51
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## 4503 4624 Male Hispanic Very_Low 52
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## 4514 4635 Other_Identity White Very_Low 67
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## 4595 4716 Male White Very_Low 63
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## 4612 4733 Male Other_Ethnic_Identity High 45
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## 9722 9843 Other_Identity Hispanic Low 78
## 9723 9844 Male White Very_Low 65
## 9724 9845 Female Asian Low 47
## 9725 9846 Female Asian Low 57
## 9726 9847 Female White Middle 52
## 9727 9848 Male White Low 48
## 9728 9849 Other_Identity Asian Low 69
## 9729 9850 Female African_American Very_Low 42
## 9730 9851 Female Asian Middle 50
## 9731 9852 Other_Identity Asian Very_Low 54
## 9732 9853 Female White Very_Low 38
## 9733 9854 Female Other_Ethnic_Identity Low 54
## 9734 9855 Other_Identity White Middle 56
## 9735 9856 Female African_American Very_Low 47
## 9736 9857 Other_Identity Hispanic Middle 30
## 9737 9858 Other_Identity White Low 67
## 9738 9859 Female Hispanic Middle 43
## 9739 9860 Female Hispanic Middle 65
## 9740 9861 Other_Identity Other_Ethnic_Identity High 76
## 9741 9862 Male White Middle 66
## 9742 9863 Female Other_Ethnic_Identity Very_Low 57
## 9743 9864 Other_Identity African_American Very_Low 40
## 9744 9865 Male Asian Very_Low 57
## 9745 9866 Male Other_Ethnic_Identity Low 53
## 9746 9867 Male White Low 49
## 9747 9868 Other_Identity Other_Ethnic_Identity High 59
## 9748 9869 Female Asian Middle 55
## 9749 9870 Other_Identity Asian High 50
## 9750 9871 Other_Identity African_American Very_Low 35
## 9751 9872 Male Asian Very_Low 61
## 9752 9873 Other_Identity Other_Ethnic_Identity High 43
## 9753 9874 Male Hispanic Low 43
## 9754 9875 Female Asian High 58
## 9755 9876 Other_Identity Other_Ethnic_Identity High 44
## 9756 9877 Other_Identity White Middle 51
## 9757 9878 Female Other_Ethnic_Identity Middle 62
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## 9759 9880 Other_Identity Asian Very_Low 53
## 9760 9881 Male Other_Ethnic_Identity Low 50
## 9761 9882 Male Other_Ethnic_Identity Middle 27
## 9762 9883 Male White Middle 55
## 9763 9884 Other_Identity Asian High 39
## 9764 9885 Other_Identity Hispanic Middle 48
## 9765 9886 Male African_American Very_Low 33
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## 9767 9888 Male African_American Low 47
## 9768 9889 Female Other_Ethnic_Identity Middle 56
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## 9779 9900 Male Asian Low 41
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## 9786 9907 Other_Identity Asian Very_Low 46
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## 9793 9914 Male Hispanic Very_Low 43
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## 9796 9917 Other_Identity Other_Ethnic_Identity Low 49
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## 9798 9919 Female White Very_Low 51
## 9799 9920 Female Other_Ethnic_Identity Very_Low 37
## 9800 9921 Female African_American High 42
## 9801 9922 Other_Identity Asian Low 39
## 9802 9923 Other_Identity White High 56
## 9803 9924 Other_Identity Other_Ethnic_Identity Middle 50
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## 9806 9927 Female Asian Low 45
## 9807 9928 Male Hispanic Middle 46
## 9808 9929 Male African_American Middle 46
## 9809 9930 Other_Identity Other_Ethnic_Identity Middle 51
## 9810 9931 Male White High 50
## 9811 9932 Female Asian Low 59
## 9812 9933 Female Asian Middle 41
## 9813 9934 Other_Identity Asian High 67
## 9814 9935 Other_Identity Other_Ethnic_Identity Very_Low 42
## 9815 9936 Female White Very_Low 57
## 9816 9937 Male Hispanic High 40
## 9817 9938 Other_Identity Other_Ethnic_Identity Middle 51
## 9818 9939 Male White Very_Low 52
## 9819 9940 Other_Identity Other_Ethnic_Identity Low 34
## 9820 9941 Male Other_Ethnic_Identity Low 47
## 9821 9942 Female Asian Middle 72
## 9822 9943 Female Other_Ethnic_Identity High 54
## 9823 9944 Other_Identity Hispanic Very_Low 53
## 9824 9945 Other_Identity Hispanic High 59
## 9825 9946 Male Hispanic High 55
## 9826 9947 Male Asian Middle 69
## 9827 9948 Male Asian Low 38
## 9828 9949 Male White Low 43
## 9829 9950 Male Hispanic High 64
## 9830 9951 Other_Identity Other_Ethnic_Identity Very_Low 63
## 9831 9952 Other_Identity Asian Low 43
## 9832 9953 Other_Identity Asian Low 44
## 9833 9954 Female Other_Ethnic_Identity Low 52
## 9834 9955 Female African_American High 69
## 9835 9956 Female Hispanic Middle 62
## 9836 9957 Female Other_Ethnic_Identity Low 33
## 9837 9958 Male African_American Very_Low 67
## 9838 9959 Other_Identity Hispanic Very_Low 41
## 9839 9960 Female White High 46
## 9840 9961 Other_Identity African_American Middle 44
## 9841 9962 Male Other_Ethnic_Identity High 38
## 9842 9963 Other_Identity Asian Very_Low 42
## 9843 9964 Male African_American Low 59
## 9844 9965 Other_Identity White High 54
## 9845 9966 Male Asian Low 63
## 9846 9967 Male Asian Very_Low 67
## 9847 9968 Male White Middle 50
## 9848 9969 Other_Identity Hispanic Low 64
## 9849 9970 Other_Identity White Middle 47
## 9850 9971 Male African_American Middle 45
## 9851 9972 Other_Identity White Very_Low 32
## 9852 9973 Male White Middle 55
## 9853 9974 Other_Identity Asian Middle 56
## 9854 9975 Other_Identity African_American Low 59
## 9855 9976 Female Other_Ethnic_Identity Low 42
## 9856 9977 Male Asian Very_Low 38
## 9857 9978 Female African_American High 49
## 9858 9979 Male Asian Very_Low 50
## 9859 9980 Female White High 67
## 9860 9981 Other_Identity White Very_Low 48
## 9861 9982 Male Hispanic Low 42
## 9862 9983 Female Hispanic Middle 41
## 9863 9984 Other_Identity Asian High 57
## 9864 9985 Male White Very_Low 57
## 9865 9986 Female Hispanic Low 40
## 9866 9987 Male White Low 28
## 9867 9988 Male Asian Low 49
## 9868 9989 Other_Identity Other_Ethnic_Identity Middle 49
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## 9871 9992 Female Asian Middle 61
## 9872 9993 Other_Identity Other_Ethnic_Identity Middle 51
## 9873 9994 Male African_American Low 54
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## 9875 9996 Female White High 64
## 9876 9997 Male Other_Ethnic_Identity Very_Low 66
## 9877 9998 Male Other_Ethnic_Identity Middle 58
## 9878 9999 Male White Low 34
## 9879 10000 Male Other_Ethnic_Identity Very_Low 50
## postScore income
## 1 62 low
## 2 65 low
## 3 47 low
## 4 72 low
## 5 50 high
## 6 57 high
## 7 61 high
## 8 55 low
## 9 58 low
## 10 62 low
## 11 72 high
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## 9878 42 high
## 9879 70 highdatRight = merge(dat, dat1, all.y = TRUE)
datRight## id Gender Ethnicity SES preScore
## 1 1 Other_Identity Hispanic Middle 56
## 2 2 Female African_American Low 57
## 3 3 Other_Identity White Low 49
## 4 4 Other_Identity Hispanic Low 45
## 5 5 Other_Identity Other_Ethnic_Identity Low 56
## 6 6 Male Other_Ethnic_Identity High 32
## 7 7 Other_Identity White High 56
## 8 8 Male White Very_Low 47
## 9 9 Other_Identity White Very_Low 47
## 10 10 Male Asian Middle 41
## 11 11 Male Other_Ethnic_Identity Low 49
## 12 12 Other_Identity Hispanic High 68
## 13 13 Male White High 54
## 14 14 Female Other_Ethnic_Identity Middle 55
## 15 15 Male White High 42
## 16 16 Other_Identity African_American Low 58
## 17 17 Other_Identity Other_Ethnic_Identity High 41
## 18 18 Other_Identity African_American Low 47
## 19 19 Other_Identity African_American Low 61
## 20 20 Other_Identity White High 53
## 21 21 Other_Identity Hispanic Very_Low 58
## 22 22 Male Hispanic Very_Low 65
## 23 23 Female White Very_Low 44
## 24 24 Female White Very_Low 34
## 25 25 Female Other_Ethnic_Identity High 34
## 26 26 Male African_American High 68
## 27 27 Female Hispanic Low 45
## 28 28 Male Other_Ethnic_Identity Middle 56
## 29 29 Female Hispanic Low 56
## 30 30 Male Asian Middle 48
## 31 31 Other_Identity African_American Middle 58
## 32 32 Male Hispanic Very_Low 72
## 33 33 Male African_American Very_Low 70
## 34 34 Other_Identity Other_Ethnic_Identity Very_Low 66
## 35 35 Male Other_Ethnic_Identity Low 53
## 36 36 Male Other_Ethnic_Identity Low 55
## 37 37 Other_Identity Other_Ethnic_Identity Middle 47
## 38 38 Other_Identity Asian Very_Low 33
## 39 39 Male White High 68
## 40 40 Other_Identity Hispanic Middle 50
## 41 41 Female African_American Low 61
## 42 42 Female White Middle 26
## 43 43 Male African_American Low 39
## 44 44 Female White Middle 59
## 45 45 Male Asian Middle 59
## 46 46 Other_Identity Hispanic Middle 65
## 47 47 Female Hispanic Very_Low 36
## 48 48 Female Hispanic High 56
## 49 49 Female African_American Middle 56
## 50 50 Female Other_Ethnic_Identity Very_Low 37
## 51 51 Male Asian Very_Low 45
## 52 52 Other_Identity Asian High 69
## 53 53 Male African_American Low 51
## 54 54 Female African_American Low 54
## 55 55 Male Other_Ethnic_Identity Low 43
## 56 56 Female Asian Very_Low 53
## 57 57 Female Asian Middle 57
## 58 58 Female Other_Ethnic_Identity Middle 58
## 59 59 Male African_American High 71
## 60 60 Female White Low 27
## 61 61 Other_Identity Asian Low 51
## 62 62 Male Other_Ethnic_Identity Middle 37
## 63 63 Female White Middle 56
## 64 64 Female White Low 66
## 65 65 Female Hispanic Middle 44
## 66 66 Other_Identity African_American Middle 32
## 67 67 Male Hispanic Middle 59
## 68 68 Female Other_Ethnic_Identity High 66
## 69 69 Other_Identity Asian High 55
## 70 70 Female Other_Ethnic_Identity High 37
## 71 71 Female Hispanic Middle 51
## 72 72 Female African_American Very_Low 42
## 73 73 Male Asian Middle 40
## 74 74 Other_Identity Hispanic Low 73
## 75 75 Male Other_Ethnic_Identity Low 64
## 76 76 Female Asian Very_Low 59
## 77 77 Male Other_Ethnic_Identity High 58
## 78 78 Male Asian Low 42
## 79 79 Other_Identity White High 55
## 80 80 Other_Identity White Low 60
## 81 81 Male African_American High 56
## 82 82 Male Hispanic Low 60
## 83 83 Other_Identity Hispanic Middle 47
## 84 84 Female African_American Low 75
## 85 85 Female African_American Very_Low 60
## 86 86 Male Hispanic Middle 69
## 87 87 Male Asian High 57
## 88 88 Female White Middle 47
## 89 89 Female Asian Very_Low 55
## 90 90 Male Asian Low 58
## 91 91 Female Other_Ethnic_Identity Very_Low 40
## 92 92 Male African_American Low 41
## 93 93 Female Other_Ethnic_Identity Low 69
## 94 94 Other_Identity Other_Ethnic_Identity Middle 46
## 95 95 Other_Identity Asian Middle 40
## 96 96 Male African_American Very_Low 57
## 97 97 Male Other_Ethnic_Identity Low 45
## 98 98 Female White High 72
## 99 99 Male White High 44
## 100 100 <NA> <NA> <NA> NA
## 101 101 <NA> <NA> <NA> NA
## 102 102 <NA> <NA> <NA> NA
## 103 103 <NA> <NA> <NA> NA
## 104 104 <NA> <NA> <NA> NA
## 105 105 <NA> <NA> <NA> NA
## 106 106 <NA> <NA> <NA> NA
## 107 107 <NA> <NA> <NA> NA
## 108 108 <NA> <NA> <NA> NA
## 109 109 <NA> <NA> <NA> NA
## 110 110 <NA> <NA> <NA> NA
## 111 111 <NA> <NA> <NA> NA
## 112 112 <NA> <NA> <NA> NA
## 113 113 <NA> <NA> <NA> NA
## 114 114 <NA> <NA> <NA> NA
## 115 115 <NA> <NA> <NA> NA
## 116 116 <NA> <NA> <NA> NA
## 117 117 <NA> <NA> <NA> NA
## 118 118 <NA> <NA> <NA> NA
## 119 119 <NA> <NA> <NA> NA
## 120 120 <NA> <NA> <NA> NA
## 121 121 <NA> <NA> <NA> NA
## 122 122 <NA> <NA> <NA> NA
## 123 123 <NA> <NA> <NA> NA
## 124 124 <NA> <NA> <NA> NA
## 125 125 <NA> <NA> <NA> NA
## 126 126 <NA> <NA> <NA> NA
## 127 127 <NA> <NA> <NA> NA
## 128 128 <NA> <NA> <NA> NA
## 129 129 <NA> <NA> <NA> NA
## 130 130 <NA> <NA> <NA> NA
## 131 131 <NA> <NA> <NA> NA
## 132 132 <NA> <NA> <NA> NA
## 133 133 <NA> <NA> <NA> NA
## 134 134 <NA> <NA> <NA> NA
## 135 135 <NA> <NA> <NA> NA
## 136 136 <NA> <NA> <NA> NA
## 137 137 <NA> <NA> <NA> NA
## 138 138 <NA> <NA> <NA> NA
## 139 139 <NA> <NA> <NA> NA
## 140 140 <NA> <NA> <NA> NA
## 141 141 <NA> <NA> <NA> NA
## 142 142 <NA> <NA> <NA> NA
## 143 143 <NA> <NA> <NA> NA
## 144 144 <NA> <NA> <NA> NA
## 145 145 <NA> <NA> <NA> NA
## 146 146 <NA> <NA> <NA> NA
## 147 147 <NA> <NA> <NA> NA
## 148 148 <NA> <NA> <NA> NA
## 149 149 <NA> <NA> <NA> NA
## 150 150 <NA> <NA> <NA> NA
## 151 151 <NA> <NA> <NA> NA
## 152 152 <NA> <NA> <NA> NA
## 153 153 <NA> <NA> <NA> NA
## 154 154 <NA> <NA> <NA> NA
## 155 155 <NA> <NA> <NA> NA
## 156 156 <NA> <NA> <NA> NA
## 157 157 <NA> <NA> <NA> NA
## 158 158 <NA> <NA> <NA> NA
## 159 159 <NA> <NA> <NA> NA
## 160 160 <NA> <NA> <NA> NA
## 161 161 <NA> <NA> <NA> NA
## 162 162 <NA> <NA> <NA> NA
## 163 163 <NA> <NA> <NA> NA
## 164 164 <NA> <NA> <NA> NA
## 165 165 <NA> <NA> <NA> NA
## 166 166 <NA> <NA> <NA> NA
## 167 167 <NA> <NA> <NA> NA
## 168 168 <NA> <NA> <NA> NA
## 169 169 <NA> <NA> <NA> NA
## 170 170 <NA> <NA> <NA> NA
## 171 171 <NA> <NA> <NA> NA
## 172 172 <NA> <NA> <NA> NA
## 173 173 <NA> <NA> <NA> NA
## 174 174 <NA> <NA> <NA> NA
## 175 175 <NA> <NA> <NA> NA
## 176 176 <NA> <NA> <NA> NA
## 177 177 <NA> <NA> <NA> NA
## 178 178 <NA> <NA> <NA> NA
## 179 179 <NA> <NA> <NA> NA
## 180 180 <NA> <NA> <NA> NA
## 181 181 <NA> <NA> <NA> NA
## 182 182 <NA> <NA> <NA> NA
## 183 183 <NA> <NA> <NA> NA
## 184 184 <NA> <NA> <NA> NA
## 185 185 <NA> <NA> <NA> NA
## 186 186 <NA> <NA> <NA> NA
## 187 187 <NA> <NA> <NA> NA
## 188 188 <NA> <NA> <NA> NA
## 189 189 <NA> <NA> <NA> NA
## 190 190 <NA> <NA> <NA> NA
## 191 191 <NA> <NA> <NA> NA
## 192 192 <NA> <NA> <NA> NA
## 193 193 <NA> <NA> <NA> NA
## 194 194 <NA> <NA> <NA> NA
## 195 195 <NA> <NA> <NA> NA
## 196 196 <NA> <NA> <NA> NA
## 197 197 <NA> <NA> <NA> NA
## 198 198 <NA> <NA> <NA> NA
## 199 199 <NA> <NA> <NA> NA
## 200 200 <NA> <NA> <NA> NA
## 201 201 <NA> <NA> <NA> NA
## 202 202 <NA> <NA> <NA> NA
## 203 203 <NA> <NA> <NA> NA
## 204 204 <NA> <NA> <NA> NA
## 205 205 <NA> <NA> <NA> NA
## 206 206 <NA> <NA> <NA> NA
## 207 207 <NA> <NA> <NA> NA
## 208 208 <NA> <NA> <NA> NA
## 209 209 <NA> <NA> <NA> NA
## 210 210 <NA> <NA> <NA> NA
## 211 211 <NA> <NA> <NA> NA
## 212 212 <NA> <NA> <NA> NA
## 213 213 <NA> <NA> <NA> NA
## 214 214 <NA> <NA> <NA> NA
## 215 215 <NA> <NA> <NA> NA
## 216 216 <NA> <NA> <NA> NA
## 217 217 <NA> <NA> <NA> NA
## 218 218 <NA> <NA> <NA> NA
## 219 219 <NA> <NA> <NA> NA
## 220 220 <NA> <NA> <NA> NA
## 221 221 Other_Identity White Middle 59
## 222 222 Male White Very_Low 27
## 223 223 Male Hispanic Very_Low 48
## 224 224 Female Other_Ethnic_Identity High 47
## 225 225 Male Asian Very_Low 68
## 226 226 Male Asian Low 57
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## 1492 1492 Other_Identity Asian Low 45
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## 1499 1499 Female African_American Very_Low 45
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## 1504 1504 Male Asian Low 62
## 1505 1505 Female Other_Ethnic_Identity Middle 38
## 1506 1506 Other_Identity Asian Middle 31
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## 1509 1509 Female White Middle 47
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## 1523 1523 Other_Identity Other_Ethnic_Identity Low 50
## 1524 1524 Female White Very_Low 53
## 1525 1525 Female Asian Very_Low 47
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## 1527 1527 Other_Identity White Very_Low 45
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## 1529 1529 Male Other_Ethnic_Identity Very_Low 68
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## 1531 1531 Male Other_Ethnic_Identity Low 43
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## 1535 1535 Male Other_Ethnic_Identity Low 51
## 1536 1536 Male Hispanic Very_Low 45
## 1537 1537 Other_Identity African_American Very_Low 59
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## 1542 1542 Female White Very_Low 47
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## 1545 1545 Male Other_Ethnic_Identity High 48
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## 1552 1552 Female Other_Ethnic_Identity Very_Low 56
## 1553 1553 Other_Identity Other_Ethnic_Identity Very_Low 43
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## 1555 1555 Male Other_Ethnic_Identity Middle 39
## 1556 1556 Female Asian Middle 40
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## 1559 1559 Male White Middle 43
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## 1565 1565 Male White Middle 45
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## 1568 1568 Male Hispanic Low 38
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## 1575 1575 Female Hispanic Very_Low 40
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## 1577 1577 Male Hispanic Middle 43
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## 1584 1584 Male Other_Ethnic_Identity Low 62
## 1585 1585 Other_Identity White Very_Low 65
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## 1588 1588 Male Hispanic Very_Low 49
## 1589 1589 Male African_American High 64
## 1590 1590 Male African_American Very_Low 50
## 1591 1591 Female Hispanic Low 46
## 1592 1592 Female Hispanic Low 54
## 1593 1593 Female African_American Very_Low 56
## 1594 1594 Other_Identity Other_Ethnic_Identity Low 34
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## 1599 1599 Female Asian Middle 36
## 1600 1600 Male Other_Ethnic_Identity Low 41
## 1601 1601 Female Other_Ethnic_Identity Middle 57
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## 1604 1604 Other_Identity Other_Ethnic_Identity High 39
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## 1606 1606 Other_Identity White Middle 61
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## 1608 1608 Female Other_Ethnic_Identity Very_Low 45
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## 1612 1612 Male White High 61
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## 1617 1617 Male Asian High 38
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## 1621 1621 Other_Identity Other_Ethnic_Identity Low 47
## 1622 1622 Other_Identity Other_Ethnic_Identity High 37
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## 1624 1624 Other_Identity Other_Ethnic_Identity Middle 51
## 1625 1625 Female Other_Ethnic_Identity High 63
## 1626 1626 Other_Identity Asian Very_Low 57
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## 1630 1630 Male White Very_Low 57
## 1631 1631 Female Asian Very_Low 48
## 1632 1632 Male Asian Middle 44
## 1633 1633 Male African_American Very_Low 42
## 1634 1634 Other_Identity Other_Ethnic_Identity High 48
## 1635 1635 Other_Identity African_American Very_Low 46
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## 1638 1638 Female Asian Low 51
## 1639 1639 Female Other_Ethnic_Identity Very_Low 52
## 1640 1640 Male White Low 52
## 1641 1641 Female White Low 40
## 1642 1642 Male White Very_Low 47
## 1643 1643 Female Other_Ethnic_Identity Middle 47
## 1644 1644 Male Other_Ethnic_Identity Middle 54
## 1645 1645 Female Other_Ethnic_Identity Very_Low 42
## 1646 1646 Female Asian Middle 48
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## 1648 1648 Male Asian Very_Low 69
## 1649 1649 Male Hispanic Very_Low 58
## 1650 1650 Other_Identity Other_Ethnic_Identity Very_Low 50
## 1651 1651 Female Other_Ethnic_Identity Middle 49
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## 1657 1657 Female White Low 54
## 1658 1658 Other_Identity Other_Ethnic_Identity Very_Low 41
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## 1661 1661 Male Other_Ethnic_Identity Middle 45
## 1662 1662 Male Hispanic Very_Low 49
## 1663 1663 Male Asian Low 33
## 1664 1664 Male Other_Ethnic_Identity Very_Low 64
## 1665 1665 Male White High 47
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## 1671 1671 Female Asian Low 46
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## 1673 1673 Other_Identity African_American High 49
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## 1677 1677 Female White High 47
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## 1679 1679 Male Hispanic High 50
## 1680 1680 Female Other_Ethnic_Identity High 41
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## 1683 1683 Male Hispanic High 43
## 1684 1684 Female Other_Ethnic_Identity Middle 34
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## 1705 1705 Other_Identity Other_Ethnic_Identity High 51
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## 1707 1707 Female Other_Ethnic_Identity Low 43
## 1708 1708 Other_Identity Asian Low 48
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## 1710 1710 Female Asian Middle 55
## 1711 1711 Other_Identity White Low 49
## 1712 1712 Male White Very_Low 52
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## 1714 1714 Male White Very_Low 50
## 1715 1715 Other_Identity Other_Ethnic_Identity High 40
## 1716 1716 Female White Middle 38
## 1717 1717 Male Other_Ethnic_Identity Low 64
## 1718 1718 Female Other_Ethnic_Identity Very_Low 45
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## 1723 1723 Male Asian Middle 57
## 1724 1724 Female Asian Very_Low 51
## 1725 1725 Other_Identity Hispanic Middle 50
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## 1729 1729 Female Asian High 49
## 1730 1730 Female Asian Middle 57
## 1731 1731 Female African_American Middle 33
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## 1733 1733 Female Asian Middle 54
## 1734 1734 Other_Identity African_American Very_Low 43
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## 1737 1737 Male Hispanic Low 58
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## 1739 1739 Other_Identity Asian Low 46
## 1740 1740 Male Other_Ethnic_Identity High 50
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## 1743 1743 Male Other_Ethnic_Identity Middle 40
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## 1745 1745 Female Other_Ethnic_Identity Low 33
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## 1747 1747 Male Other_Ethnic_Identity Very_Low 50
## 1748 1748 Male African_American Very_Low 55
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## 1750 1750 Male African_American High 51
## 1751 1751 Female Asian Low 64
## 1752 1752 Male African_American High 63
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## 1754 1754 Other_Identity Other_Ethnic_Identity Middle 54
## 1755 1755 Female Other_Ethnic_Identity High 52
## 1756 1756 Female Other_Ethnic_Identity Very_Low 51
## 1757 1757 Female White Low 47
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## 1761 1761 Male Other_Ethnic_Identity Middle 47
## 1762 1762 Other_Identity Other_Ethnic_Identity Low 66
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## 1765 1765 Male White High 50
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## 1767 1767 Other_Identity Hispanic High 58
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## 1771 1771 Female Other_Ethnic_Identity High 59
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## 1773 1773 Female African_American Middle 51
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## 1778 1778 Male Asian Low 41
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## 1780 1780 Male Other_Ethnic_Identity Middle 52
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## 1785 1785 Female Other_Ethnic_Identity High 74
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## 1799 1799 Male African_American Low 34
## 1800 1800 Other_Identity Other_Ethnic_Identity Low 19
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## 1802 1802 Other_Identity White Low 46
## 1803 1803 Female Other_Ethnic_Identity High 62
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## 1809 1809 Female Asian High 55
## 1810 1810 Male Asian Middle 58
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## 1813 1813 Male African_American High 55
## 1814 1814 Female Asian Low 57
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## 1816 1816 Female African_American Very_Low 50
## 1817 1817 Other_Identity Other_Ethnic_Identity Very_Low 46
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## 1819 1819 Other_Identity Other_Ethnic_Identity Middle 52
## 1820 1820 Male White Very_Low 40
## 1821 1821 Female African_American High 68
## 1822 1822 Other_Identity Asian Low 38
## 1823 1823 Female Other_Ethnic_Identity Low 40
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## 1826 1826 Other_Identity Other_Ethnic_Identity Very_Low 53
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## 1829 1829 Other_Identity Other_Ethnic_Identity High 48
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## 1832 1832 Male Asian Low 41
## 1833 1833 Other_Identity Other_Ethnic_Identity High 46
## 1834 1834 Male Other_Ethnic_Identity Low 39
## 1835 1835 Other_Identity Hispanic Low 61
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## 1837 1837 Other_Identity Other_Ethnic_Identity Very_Low 42
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## 1839 1839 Male White Middle 46
## 1840 1840 Female White High 63
## 1841 1841 Male White High 51
## 1842 1842 Male White Very_Low 47
## 1843 1843 Male White Low 35
## 1844 1844 Male White High 67
## 1845 1845 Female White High 34
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## 1849 1849 Male Other_Ethnic_Identity Middle 42
## 1850 1850 Male White Middle 48
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## 1854 1854 Male Other_Ethnic_Identity High 46
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## 1859 1859 Other_Identity Other_Ethnic_Identity Low 42
## 1860 1860 Male African_American Middle 64
## 1861 1861 Other_Identity Other_Ethnic_Identity High 53
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## 1864 1864 Male African_American Middle 61
## 1865 1865 Female African_American Very_Low 33
## 1866 1866 Male African_American Low 49
## 1867 1867 Female Other_Ethnic_Identity High 52
## 1868 1868 Female White Very_Low 56
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## 1872 1872 Male White High 42
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## 1874 1874 Other_Identity Other_Ethnic_Identity Low 41
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## 1876 1876 Female Hispanic Low 49
## 1877 1877 Female Other_Ethnic_Identity High 43
## 1878 1878 Male African_American High 57
## 1879 1879 Female African_American Very_Low 60
## 1880 1880 Male Asian Very_Low 48
## 1881 1881 Male African_American Middle 42
## 1882 1882 Male Asian Middle 19
## 1883 1883 Male Asian High 47
## 1884 1884 Female Asian Middle 42
## 1885 1885 Male Hispanic High 60
## 1886 1886 Female Hispanic High 57
## 1887 1887 Male Other_Ethnic_Identity Low 50
## 1888 1888 Male White Middle 45
## 1889 1889 Other_Identity African_American High 51
## 1890 1890 Male Hispanic Middle 53
## 1891 1891 Female Hispanic High 38
## 1892 1892 Female African_American Very_Low 34
## 1893 1893 Other_Identity White Middle 44
## 1894 1894 Male African_American Low 56
## 1895 1895 Female Other_Ethnic_Identity Very_Low 51
## 1896 1896 Female African_American Low 53
## 1897 1897 Male Asian Very_Low 62
## 1898 1898 Female Other_Ethnic_Identity Middle 40
## 1899 1899 Other_Identity Other_Ethnic_Identity High 59
## 1900 1900 Male White Very_Low 62
## 1901 1901 Male Asian High 55
## 1902 1902 Female White High 55
## 1903 1903 Female White Very_Low 51
## 1904 1904 Female Other_Ethnic_Identity High 60
## 1905 1905 Female White Middle 52
## 1906 1906 Female Hispanic Middle 62
## 1907 1907 Other_Identity Hispanic High 36
## 1908 1908 Other_Identity African_American Middle 20
## 1909 1909 Other_Identity Hispanic Very_Low 47
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## 1911 1911 Female Hispanic Very_Low 58
## 1912 1912 Female Hispanic Middle 43
## 1913 1913 Male White Middle 60
## 1914 1914 Male Hispanic High 55
## 1915 1915 Female White Middle 69
## 1916 1916 Female African_American Low 59
## 1917 1917 Other_Identity Hispanic Middle 48
## 1918 1918 Female Other_Ethnic_Identity Low 40
## 1919 1919 Male Asian High 52
## 1920 1920 Male Hispanic Low 58
## 1921 1921 Other_Identity African_American Very_Low 70
## 1922 1922 Other_Identity Hispanic Middle 56
## 1923 1923 Male White High 50
## 1924 1924 Female Asian Very_Low 46
## 1925 1925 Other_Identity White Low 50
## 1926 1926 Other_Identity African_American High 51
## 1927 1927 Male African_American Very_Low 53
## 1928 1928 Male Asian Low 68
## 1929 1929 Female Hispanic Low 61
## 1930 1930 Male African_American Very_Low 37
## 1931 1931 Female Hispanic Low 43
## 1932 1932 Female Other_Ethnic_Identity Middle 43
## 1933 1933 Male African_American Low 52
## 1934 1934 Male Hispanic Low 59
## 1935 1935 Male Other_Ethnic_Identity High 50
## 1936 1936 Male Asian Middle 65
## 1937 1937 Other_Identity White Middle 63
## 1938 1938 Male Hispanic Very_Low 38
## 1939 1939 Other_Identity Asian Very_Low 38
## 1940 1940 Other_Identity White High 70
## 1941 1941 Female Asian High 48
## 1942 1942 Male African_American Middle 45
## 1943 1943 Female Asian Middle 64
## 1944 1944 Other_Identity African_American Very_Low 56
## 1945 1945 Male Other_Ethnic_Identity High 38
## 1946 1946 Male African_American High 44
## 1947 1947 Female African_American Low 41
## 1948 1948 Other_Identity White Low 51
## 1949 1949 Male Hispanic High 53
## 1950 1950 Male African_American Very_Low 49
## 1951 1951 Male Hispanic High 58
## 1952 1952 Male White Low 47
## 1953 1953 Female Asian High 26
## 1954 1954 Male Asian Very_Low 36
## 1955 1955 Male White Very_Low 53
## 1956 1956 Male African_American Middle 32
## 1957 1957 Other_Identity Hispanic Very_Low 46
## 1958 1958 Male African_American High 76
## 1959 1959 Female White Middle 64
## 1960 1960 Other_Identity Hispanic Low 43
## 1961 1961 Female White Low 55
## 1962 1962 Male African_American High 63
## 1963 1963 Male Other_Ethnic_Identity Low 54
## 1964 1964 Female Hispanic High 59
## 1965 1965 Female African_American Very_Low 64
## 1966 1966 Male Asian Low 37
## 1967 1967 Other_Identity Hispanic High 49
## 1968 1968 Female Hispanic Low 39
## 1969 1969 Other_Identity White Very_Low 57
## 1970 1970 Other_Identity African_American Low 52
## 1971 1971 Other_Identity Asian Very_Low 39
## 1972 1972 Female Other_Ethnic_Identity Very_Low 35
## 1973 1973 Female Asian Very_Low 42
## 1974 1974 Other_Identity Other_Ethnic_Identity Very_Low 42
## 1975 1975 Other_Identity Asian Very_Low 43
## 1976 1976 Male White Middle 47
## 1977 1977 Other_Identity White Middle 59
## 1978 1978 Female African_American High 45
## 1979 1979 Female White High 63
## 1980 1980 Other_Identity African_American Middle 53
## 1981 1981 Male White Low 49
## 1982 1982 Male Asian Very_Low 54
## 1983 1983 Female Other_Ethnic_Identity Low 41
## 1984 1984 Female Asian Low 45
## 1985 1985 Male Other_Ethnic_Identity Middle 49
## 1986 1986 Male White Middle 50
## 1987 1987 Other_Identity Other_Ethnic_Identity Very_Low 44
## 1988 1988 Other_Identity Asian High 56
## 1989 1989 Male White High 62
## 1990 1990 Female Asian Middle 40
## 1991 1991 Male African_American Middle 47
## 1992 1992 Other_Identity Asian Middle 59
## 1993 1993 Female Asian Low 48
## 1994 1994 Male Asian High 55
## 1995 1995 Female Asian High 57
## 1996 1996 Female Asian Middle 64
## 1997 1997 Female White High 41
## 1998 1998 Other_Identity African_American Low 44
## 1999 1999 Other_Identity Hispanic Low 51
## 2000 2000 Female Other_Ethnic_Identity Low 43
## 2001 2001 Other_Identity African_American Middle 44
## 2002 2002 Other_Identity White Low 61
## 2003 2003 Other_Identity White Very_Low 44
## 2004 2004 Other_Identity Hispanic Low 61
## 2005 2005 Male White High 64
## 2006 2006 Male White Low 50
## 2007 2007 Male Hispanic Very_Low 69
## 2008 2008 Male Other_Ethnic_Identity High 37
## 2009 2009 Other_Identity Hispanic High 38
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## 2011 2011 Male African_American Very_Low 57
## 2012 2012 Male Asian High 45
## 2013 2013 Male Asian Middle 50
## 2014 2014 Other_Identity African_American Low 46
## 2015 2015 Other_Identity White Low 41
## 2016 2016 Male Hispanic Middle 63
## 2017 2017 Female Asian Very_Low 49
## 2018 2018 Female African_American High 25
## 2019 2019 Male Asian Low 59
## 2020 2020 Male Hispanic Middle 58
## 2021 2021 Female Hispanic Low 53
## 2022 2022 Female White High 62
## 2023 2023 Other_Identity African_American Low 52
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## 2025 2025 Male Other_Ethnic_Identity Low 41
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## 2027 2027 Female Hispanic Very_Low 47
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## 2029 2029 Female Hispanic Very_Low 52
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## 2036 2036 Female Hispanic Low 38
## 2037 2037 Female Other_Ethnic_Identity Middle 54
## 2038 2038 Other_Identity Other_Ethnic_Identity Middle 45
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## 2040 2040 Male Other_Ethnic_Identity Low 59
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## 2045 2045 Other_Identity Other_Ethnic_Identity Middle 59
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## 2047 2047 Female Other_Ethnic_Identity Very_Low 44
## 2048 2048 Male Asian Low 57
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## 2050 2050 Other_Identity African_American Very_Low 44
## 2051 2051 Male African_American Middle 61
## 2052 2052 Female Hispanic Middle 24
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## 2064 2064 Other_Identity Hispanic Very_Low 57
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## 2066 2066 Female White Middle 57
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## 2079 2079 Female Hispanic Middle 58
## 2080 2080 Other_Identity Hispanic Low 41
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## 2086 2086 Male African_American High 44
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## 2088 2088 Female White High 53
## 2089 2089 Male White High 53
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## 2091 2091 Female White High 30
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## 2093 2093 Female White Low 43
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## 2097 2097 Male Asian High 49
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## 2101 2101 Other_Identity Other_Ethnic_Identity Very_Low 57
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## 2105 2105 Male White Middle 45
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## 2109 2109 Male Other_Ethnic_Identity Very_Low 45
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## 2111 2111 Female Other_Ethnic_Identity High 33
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## 2113 2113 Female Other_Ethnic_Identity High 49
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## 2117 2117 Male African_American Low 65
## 2118 2118 Male White Low 45
## 2119 2119 Female White Low 66
## 2120 2120 Male White Low 60
## 2121 2121 Male Asian Low 59
## 2122 2122 Male Asian High 45
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## 2124 2124 Male Other_Ethnic_Identity Low 67
## 2125 2125 Other_Identity Asian High 53
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## 9995 9995 Male African_American Middle 54
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## 9997 9997 Male Other_Ethnic_Identity Very_Low 66
## 9998 9998 Male Other_Ethnic_Identity Middle 58
## 9999 9999 Male White Low 34
## 10000 10000 Male Other_Ethnic_Identity Very_Low 50
## postScore income
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## 10000 70 highdatAll = merge(dat, dat1, all = TRUE)
datAll[200:250,]## id Gender Ethnicity SES preScore postScore
## 200 200 <NA> <NA> <NA> NA NA
## 201 201 <NA> <NA> <NA> NA NA
## 202 202 <NA> <NA> <NA> NA NA
## 203 203 <NA> <NA> <NA> NA NA
## 204 204 <NA> <NA> <NA> NA NA
## 205 205 <NA> <NA> <NA> NA NA
## 206 206 <NA> <NA> <NA> NA NA
## 207 207 <NA> <NA> <NA> NA NA
## 208 208 <NA> <NA> <NA> NA NA
## 209 209 <NA> <NA> <NA> NA NA
## 210 210 <NA> <NA> <NA> NA NA
## 211 211 <NA> <NA> <NA> NA NA
## 212 212 <NA> <NA> <NA> NA NA
## 213 213 <NA> <NA> <NA> NA NA
## 214 214 <NA> <NA> <NA> NA NA
## 215 215 <NA> <NA> <NA> NA NA
## 216 216 <NA> <NA> <NA> NA NA
## 217 217 <NA> <NA> <NA> NA NA
## 218 218 <NA> <NA> <NA> NA NA
## 219 219 <NA> <NA> <NA> NA NA
## 220 220 <NA> <NA> <NA> NA NA
## 221 221 Other_Identity White Middle 59 66
## 222 222 Male White Very_Low 27 68
## 223 223 Male Hispanic Very_Low 48 69
## 224 224 Female Other_Ethnic_Identity High 47 57
## 225 225 Male Asian Very_Low 68 55
## 226 226 Male Asian Low 57 72
## 227 227 Other_Identity Other_Ethnic_Identity Low 48 85
## 228 228 Male Hispanic Very_Low 50 70
## 229 229 Other_Identity White Very_Low 65 55
## 230 230 Other_Identity White Middle 51 62
## 231 231 Female Hispanic Low 51 73
## 232 232 Male White Low 42 75
## 233 233 Female Asian High 52 67
## 234 234 Male Asian Middle 53 53
## 235 235 Male Asian Very_Low 59 67
## 236 236 Other_Identity White Low 45 77
## 237 237 Other_Identity African_American High 58 62
## 238 238 Female African_American High 44 66
## 239 239 Other_Identity African_American Low 56 55
## 240 240 Male Other_Ethnic_Identity Low 52 56
## 241 241 Male Other_Ethnic_Identity High 43 42
## 242 242 Female Hispanic Low 44 41
## 243 243 Male Hispanic Low 47 59
## 244 244 Male Hispanic High 39 51
## 245 245 Male White High 49 71
## 246 246 Other_Identity White Very_Low 58 54
## 247 247 Male African_American Very_Low 77 59
## 248 248 Male Hispanic Middle 49 38
## 249 249 Other_Identity Hispanic High 55 50
## 250 250 Female White Very_Low 58 84
## income
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## 250 lowSometimes you want to get a summary of the data set and each of the variables. For simplicity, let us just use the original dat dataset and get the descriptives. One way to get the descriptives is through the summary function. For continuous variables, summary provides the mean, median, and range (min and max). For dichotomous, nominal and ordinal outcomes, it provides the counts for each of the levels.
summary(dat)## id Gender Ethnicity
## Min. : 1 Female :2994 African_American :1900
## 1st Qu.: 2592 Male :3932 Asian :1924
## Median : 5061 Other_Identity:2953 Hispanic :2045
## Mean : 5060 Other_Ethnic_Identity:1996
## 3rd Qu.: 7530 White :2014
## Max. :10000
## SES preScore postScore
## High :2497 Min. :11.00 Min. :23.00
## Low :2462 1st Qu.:43.00 1st Qu.:53.00
## Middle :2456 Median :50.00 Median :60.00
## Very_Low:2464 Mean :49.99 Mean :59.97
## 3rd Qu.:57.00 3rd Qu.:67.00
## Max. :84.00 Max. :99.00One common statistic that we want to evaluate is the percentage change over time. We can create a new variable in R that has the percentage change from pre to post.
We create this by using the $ for the dat set to create a new variable called PercentChange. Then we say that PercentChange equals the percentage change formula which is (postScore-preScore)/preScore. Then we use the round function to round the percentage change variable to two decimal points.
dat$PercentChange = round((dat$postScore-dat$preScore)/dat$preScore,2)
head(dat)## id Gender Ethnicity SES preScore postScore
## 1 1 Other_Identity Hispanic Middle 56 62
## 2 2 Female African_American Low 57 65
## 3 3 Other_Identity White Low 49 47
## 4 4 Other_Identity Hispanic Low 45 72
## 5 5 Other_Identity Other_Ethnic_Identity Low 56 50
## 6 6 Male Other_Ethnic_Identity High 32 57
## PercentChange
## 1 0.11
## 2 0.14
## 3 -0.04
## 4 0.60
## 5 -0.11
## 6 0.78Sometimes we want to evaluate whether or not there was a statistically significant change between two time points. To do that we would use a paired t-test to account for the correlation between the two time points.
The results demonstrate that the p-value is well below .05 providing evidence that the average post score is statistically significantly larger than the pre scores.
t.test(dat$postScore, dat$preScore, paired = TRUE)##
## Paired t-test
##
## data: dat$postScore and dat$preScore
## t = 71.163, df = 9878, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 9.707418 10.257356
## sample estimates:
## mean of the differences
## 9.982387Although, because we have a large sample our data is likely normally distributed often times data are not and we need to use a test that does not make the assumption that data are normally distributed. Therefore, we can use a nonparametric test like the Wilcoxon rank test to evaluate whether the post scores are larger than the pre scores.
wilcox.test(dat$postScore, dat$preScore, paired = TRUE)##
## Wilcoxon signed rank test with continuity correction
##
## data: dat$postScore and dat$preScore
## V = 39593000, p-value < 2.2e-16
## alternative hypothesis: true location shift is not equal to 0