Homework 1
Takuma Mimura
2/3/2020
Problem 1 Auto Data
This exercise involves the Auto data set that we studied during lab. Make sure that the missing values have been removed from the data. A. Which of the predictors are quantitative, and which are qualitative? a. Hint: Use the str() function
library(tidyverse)## ── Attaching packages ───────────────────────────────────── tidyverse 1.3.0 ──## ✓ ggplot2 3.2.1 ✓ purrr 0.3.3
## ✓ tibble 2.1.3 ✓ dplyr 0.8.3
## ✓ tidyr 1.0.2 ✓ stringr 1.4.0
## ✓ readr 1.3.1 ✓ forcats 0.4.0## ── Conflicts ──────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()Auto <- read.table("http://faculty.marshall.usc.edu/gareth-james/ISL/Auto.data",
header = TRUE,
na.strings = "?")
?str(Auto)As we can see, mpg, cylinders, displacement, horespower, weight, acceleration, year and origin are either numerical or integers, meaning that those data frames are quantitative. Since “name” is a categorical variables therefore, it is a qualitative predictor.
B. What is the range of each quantitative predictor? Hint: You can answer this using the range() function. Note that you’ll need to only pass in a column vector, so use a $ .
head(Auto)## mpg cylinders displacement horsepower weight acceleration year origin
## 1 18 8 307 130 3504 12.0 70 1
## 2 15 8 350 165 3693 11.5 70 1
## 3 18 8 318 150 3436 11.0 70 1
## 4 16 8 304 150 3433 12.0 70 1
## 5 17 8 302 140 3449 10.5 70 1
## 6 15 8 429 198 4341 10.0 70 1
## name
## 1 chevrolet chevelle malibu
## 2 buick skylark 320
## 3 plymouth satellite
## 4 amc rebel sst
## 5 ford torino
## 6 ford galaxie 500range(Auto$mpg)## [1] 9.0 46.6range(Auto$cylinders)## [1] 3 8range(Auto$displacement)## [1] 68 455range(Auto$horsepower)## [1] NA NArange(Auto$weight)## [1] 1613 5140range(Auto$acceleration)## [1] 8.0 24.8range(Auto$year)## [1] 70 82range(Auto$origin)## [1] 1 3C. What is the mean and standard deviation of each quantitative predictor? Again, you’ll want to pass in a column vector.
mean(Auto$mpg)## [1] 23.51587mean(Auto$cylinders)## [1] 5.458438mean(Auto$displacement)## [1] 193.5327mean(Auto$horsepower)## [1] NAmean(Auto$weight)## [1] 2970.262mean(Auto$acceleration)## [1] 15.55567mean(Auto$year)## [1] 75.99496mean(Auto$origin)## [1] 1.574307sd(Auto$mpg)## [1] 7.825804sd(Auto$cylinders)## [1] 1.701577sd(Auto$displacement)## [1] 104.3796sd(Auto$horsepower)## [1] NAsd(Auto$weight)## [1] 847.9041sd(Auto$acceleration)## [1] 2.749995sd(Auto$year)## [1] 3.690005sd(Auto$origin)## [1] 0.8025495D. Now remove the 10th through 85th observations. What is the range, mean, and standard deviation of each predictor in the subset of the data that remains? Recall: Matrix indexing
head(Auto)## mpg cylinders displacement horsepower weight acceleration year origin
## 1 18 8 307 130 3504 12.0 70 1
## 2 15 8 350 165 3693 11.5 70 1
## 3 18 8 318 150 3436 11.0 70 1
## 4 16 8 304 150 3433 12.0 70 1
## 5 17 8 302 140 3449 10.5 70 1
## 6 15 8 429 198 4341 10.0 70 1
## name
## 1 chevrolet chevelle malibu
## 2 buick skylark 320
## 3 plymouth satellite
## 4 amc rebel sst
## 5 ford torino
## 6 ford galaxie 500str(Auto)## 'data.frame': 397 obs. of 9 variables:
## $ mpg : num 18 15 18 16 17 15 14 14 14 15 ...
## $ cylinders : int 8 8 8 8 8 8 8 8 8 8 ...
## $ displacement: num 307 350 318 304 302 429 454 440 455 390 ...
## $ horsepower : num 130 165 150 150 140 198 220 215 225 190 ...
## $ weight : num 3504 3693 3436 3433 3449 ...
## $ acceleration: num 12 11.5 11 12 10.5 10 9 8.5 10 8.5 ...
## $ year : int 70 70 70 70 70 70 70 70 70 70 ...
## $ origin : int 1 1 1 1 1 1 1 1 1 1 ...
## $ name : Factor w/ 304 levels "amc ambassador brougham",..: 49 36 231 14 161 141 54 223 241 2 ...nrow(Auto)## [1] 397ncol(Auto)## [1] 9Auto[-c(10:85),]## mpg cylinders displacement horsepower weight acceleration year origin
## 1 18.0 8 307 130 3504 12.0 70 1
## 2 15.0 8 350 165 3693 11.5 70 1
## 3 18.0 8 318 150 3436 11.0 70 1
## 4 16.0 8 304 150 3433 12.0 70 1
## 5 17.0 8 302 140 3449 10.5 70 1
## 6 15.0 8 429 198 4341 10.0 70 1
## 7 14.0 8 454 220 4354 9.0 70 1
## 8 14.0 8 440 215 4312 8.5 70 1
## 9 14.0 8 455 225 4425 10.0 70 1
## 86 13.0 8 350 175 4100 13.0 73 1
## 87 14.0 8 304 150 3672 11.5 73 1
## 88 13.0 8 350 145 3988 13.0 73 1
## 89 14.0 8 302 137 4042 14.5 73 1
## 90 15.0 8 318 150 3777 12.5 73 1
## 91 12.0 8 429 198 4952 11.5 73 1
## 92 13.0 8 400 150 4464 12.0 73 1
## 93 13.0 8 351 158 4363 13.0 73 1
## 94 14.0 8 318 150 4237 14.5 73 1
## 95 13.0 8 440 215 4735 11.0 73 1
## 96 12.0 8 455 225 4951 11.0 73 1
## 97 13.0 8 360 175 3821 11.0 73 1
## 98 18.0 6 225 105 3121 16.5 73 1
## 99 16.0 6 250 100 3278 18.0 73 1
## 100 18.0 6 232 100 2945 16.0 73 1
## 101 18.0 6 250 88 3021 16.5 73 1
## 102 23.0 6 198 95 2904 16.0 73 1
## 103 26.0 4 97 46 1950 21.0 73 2
## 104 11.0 8 400 150 4997 14.0 73 1
## 105 12.0 8 400 167 4906 12.5 73 1
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## 111 22.0 4 108 94 2379 16.5 73 3
## 112 18.0 3 70 90 2124 13.5 73 3
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## name
## 1 chevrolet chevelle malibu
## 2 buick skylark 320
## 3 plymouth satellite
## 4 amc rebel sst
## 5 ford torino
## 6 ford galaxie 500
## 7 chevrolet impala
## 8 plymouth fury iii
## 9 pontiac catalina
## 86 buick century 350
## 87 amc matador
## 88 chevrolet malibu
## 89 ford gran torino
## 90 dodge coronet custom
## 91 mercury marquis brougham
## 92 chevrolet caprice classic
## 93 ford ltd
## 94 plymouth fury gran sedan
## 95 chrysler new yorker brougham
## 96 buick electra 225 custom
## 97 amc ambassador brougham
## 98 plymouth valiant
## 99 chevrolet nova custom
## 100 amc hornet
## 101 ford maverick
## 102 plymouth duster
## 103 volkswagen super beetle
## 104 chevrolet impala
## 105 ford country
## 106 plymouth custom suburb
## 107 oldsmobile vista cruiser
## 108 amc gremlin
## 109 toyota carina
## 110 chevrolet vega
## 111 datsun 610
## 112 maxda rx3
## 113 ford pinto
## 114 mercury capri v6
## 115 fiat 124 sport coupe
## 116 chevrolet monte carlo s
## 117 pontiac grand prix
## 118 fiat 128
## 119 opel manta
## 120 audi 100ls
## 121 volvo 144ea
## 122 dodge dart custom
## 123 saab 99le
## 124 toyota mark ii
## 125 oldsmobile omega
## 126 plymouth duster
## 127 ford maverick
## 128 amc hornet
## 129 chevrolet nova
## 130 datsun b210
## 131 ford pinto
## 132 toyota corolla 1200
## 133 chevrolet vega
## 134 chevrolet chevelle malibu classic
## 135 amc matador
## 136 plymouth satellite sebring
## 137 ford gran torino
## 138 buick century luxus (sw)
## 139 dodge coronet custom (sw)
## 140 ford gran torino (sw)
## 141 amc matador (sw)
## 142 audi fox
## 143 volkswagen dasher
## 144 opel manta
## 145 toyota corona
## 146 datsun 710
## 147 dodge colt
## 148 fiat 128
## 149 fiat 124 tc
## 150 honda civic
## 151 subaru
## 152 fiat x1.9
## 153 plymouth valiant custom
## 154 chevrolet nova
## 155 mercury monarch
## 156 ford maverick
## 157 pontiac catalina
## 158 chevrolet bel air
## 159 plymouth grand fury
## 160 ford ltd
## 161 buick century
## 162 chevroelt chevelle malibu
## 163 amc matador
## 164 plymouth fury
## 165 buick skyhawk
## 166 chevrolet monza 2+2
## 167 ford mustang ii
## 168 toyota corolla
## 169 ford pinto
## 170 amc gremlin
## 171 pontiac astro
## 172 toyota corona
## 173 volkswagen dasher
## 174 datsun 710
## 175 ford pinto
## 176 volkswagen rabbit
## 177 amc pacer
## 178 audi 100ls
## 179 peugeot 504
## 180 volvo 244dl
## 181 saab 99le
## 182 honda civic cvcc
## 183 fiat 131
## 184 opel 1900
## 185 capri ii
## 186 dodge colt
## 187 renault 12tl
## 188 chevrolet chevelle malibu classic
## 189 dodge coronet brougham
## 190 amc matador
## 191 ford gran torino
## 192 plymouth valiant
## 193 chevrolet nova
## 194 ford maverick
## 195 amc hornet
## 196 chevrolet chevette
## 197 chevrolet woody
## 198 vw rabbit
## 199 honda civic
## 200 dodge aspen se
## 201 ford granada ghia
## 202 pontiac ventura sj
## 203 amc pacer d/l
## 204 volkswagen rabbit
## 205 datsun b-210
## 206 toyota corolla
## 207 ford pinto
## 208 volvo 245
## 209 plymouth volare premier v8
## 210 peugeot 504
## 211 toyota mark ii
## 212 mercedes-benz 280s
## 213 cadillac seville
## 214 chevy c10
## 215 ford f108
## 216 dodge d100
## 217 honda accord cvcc
## 218 buick opel isuzu deluxe
## 219 renault 5 gtl
## 220 plymouth arrow gs
## 221 datsun f-10 hatchback
## 222 chevrolet caprice classic
## 223 oldsmobile cutlass supreme
## 224 dodge monaco brougham
## 225 mercury cougar brougham
## 226 chevrolet concours
## 227 buick skylark
## 228 plymouth volare custom
## 229 ford granada
## 230 pontiac grand prix lj
## 231 chevrolet monte carlo landau
## 232 chrysler cordoba
## 233 ford thunderbird
## 234 volkswagen rabbit custom
## 235 pontiac sunbird coupe
## 236 toyota corolla liftback
## 237 ford mustang ii 2+2
## 238 chevrolet chevette
## 239 dodge colt m/m
## 240 subaru dl
## 241 volkswagen dasher
## 242 datsun 810
## 243 bmw 320i
## 244 mazda rx-4
## 245 volkswagen rabbit custom diesel
## 246 ford fiesta
## 247 mazda glc deluxe
## 248 datsun b210 gx
## 249 honda civic cvcc
## 250 oldsmobile cutlass salon brougham
## 251 dodge diplomat
## 252 mercury monarch ghia
## 253 pontiac phoenix lj
## 254 chevrolet malibu
## 255 ford fairmont (auto)
## 256 ford fairmont (man)
## 257 plymouth volare
## 258 amc concord
## 259 buick century special
## 260 mercury zephyr
## 261 dodge aspen
## 262 amc concord d/l
## 263 chevrolet monte carlo landau
## 264 buick regal sport coupe (turbo)
## 265 ford futura
## 266 dodge magnum xe
## 267 chevrolet chevette
## 268 toyota corona
## 269 datsun 510
## 270 dodge omni
## 271 toyota celica gt liftback
## 272 plymouth sapporo
## 273 oldsmobile starfire sx
## 274 datsun 200-sx
## 275 audi 5000
## 276 volvo 264gl
## 277 saab 99gle
## 278 peugeot 604sl
## 279 volkswagen scirocco
## 280 honda accord lx
## 281 pontiac lemans v6
## 282 mercury zephyr 6
## 283 ford fairmont 4
## 284 amc concord dl 6
## 285 dodge aspen 6
## 286 chevrolet caprice classic
## 287 ford ltd landau
## 288 mercury grand marquis
## 289 dodge st. regis
## 290 buick estate wagon (sw)
## 291 ford country squire (sw)
## 292 chevrolet malibu classic (sw)
## 293 chrysler lebaron town @ country (sw)
## 294 vw rabbit custom
## 295 maxda glc deluxe
## 296 dodge colt hatchback custom
## 297 amc spirit dl
## 298 mercedes benz 300d
## 299 cadillac eldorado
## 300 peugeot 504
## 301 oldsmobile cutlass salon brougham
## 302 plymouth horizon
## 303 plymouth horizon tc3
## 304 datsun 210
## 305 fiat strada custom
## 306 buick skylark limited
## 307 chevrolet citation
## 308 oldsmobile omega brougham
## 309 pontiac phoenix
## 310 vw rabbit
## 311 toyota corolla tercel
## 312 chevrolet chevette
## 313 datsun 310
## 314 chevrolet citation
## 315 ford fairmont
## 316 amc concord
## 317 dodge aspen
## 318 audi 4000
## 319 toyota corona liftback
## 320 mazda 626
## 321 datsun 510 hatchback
## 322 toyota corolla
## 323 mazda glc
## 324 dodge colt
## 325 datsun 210
## 326 vw rabbit c (diesel)
## 327 vw dasher (diesel)
## 328 audi 5000s (diesel)
## 329 mercedes-benz 240d
## 330 honda civic 1500 gl
## 331 renault lecar deluxe
## 332 subaru dl
## 333 vokswagen rabbit
## 334 datsun 280-zx
## 335 mazda rx-7 gs
## 336 triumph tr7 coupe
## 337 ford mustang cobra
## 338 honda accord
## 339 plymouth reliant
## 340 buick skylark
## 341 dodge aries wagon (sw)
## 342 chevrolet citation
## 343 plymouth reliant
## 344 toyota starlet
## 345 plymouth champ
## 346 honda civic 1300
## 347 subaru
## 348 datsun 210 mpg
## 349 toyota tercel
## 350 mazda glc 4
## 351 plymouth horizon 4
## 352 ford escort 4w
## 353 ford escort 2h
## 354 volkswagen jetta
## 355 renault 18i
## 356 honda prelude
## 357 toyota corolla
## 358 datsun 200sx
## 359 mazda 626
## 360 peugeot 505s turbo diesel
## 361 volvo diesel
## 362 toyota cressida
## 363 datsun 810 maxima
## 364 buick century
## 365 oldsmobile cutlass ls
## 366 ford granada gl
## 367 chrysler lebaron salon
## 368 chevrolet cavalier
## 369 chevrolet cavalier wagon
## 370 chevrolet cavalier 2-door
## 371 pontiac j2000 se hatchback
## 372 dodge aries se
## 373 pontiac phoenix
## 374 ford fairmont futura
## 375 volkswagen rabbit l
## 376 mazda glc custom l
## 377 mazda glc custom
## 378 plymouth horizon miser
## 379 mercury lynx l
## 380 nissan stanza xe
## 381 honda accord
## 382 toyota corolla
## 383 honda civic
## 384 honda civic (auto)
## 385 datsun 310 gx
## 386 buick century limited
## 387 oldsmobile cutlass ciera (diesel)
## 388 chrysler lebaron medallion
## 389 ford granada l
## 390 toyota celica gt
## 391 dodge charger 2.2
## 392 chevrolet camaro
## 393 ford mustang gl
## 394 vw pickup
## 395 dodge rampage
## 396 ford ranger
## 397 chevy s-10range(Auto[-c(10:85)]$mpg)## [1] 9.0 46.6range(Auto[-c(10:85)]$cylinders)## [1] 3 8range(Auto[-c(10:85)]$displacement)## [1] 68 455range(Auto[-c(10:85)]$horsepower)## [1] NA NArange(Auto[-c(10:85)]$weight)## [1] 1613 5140range(Auto[-c(10:85)]$acceleration)## [1] 8.0 24.8range(Auto[-c(10:85)]$year)## [1] 70 82range(Auto[-c(10:85)]$origin)## [1] 1 3mean(Auto[-c(10:85)]$mpg)## [1] 23.51587mean(Auto[-c(10:85)]$cylinders)## [1] 5.458438mean(Auto[-c(10:85)]$displacement)## [1] 193.5327mean(Auto[-c(10:85)]$horsepower)## [1] NAmean(Auto[-c(10:85)]$weight)## [1] 2970.262mean(Auto[-c(10:85)]$acceleration)## [1] 15.55567mean(Auto[-c(10:85)]$year)## [1] 75.99496mean(Auto[-c(10:85)]$origin)## [1] 1.574307sd(Auto[-c(10:85)]$mpg)## [1] 7.825804sd(Auto[-c(10:85)]$cylinders)## [1] 1.701577sd(Auto[-c(10:85)]$displacement)## [1] 104.3796sd(Auto[-c(10:85)]$horsepower)## [1] NAsd(Auto[-c(10:85)]$weight)## [1] 847.9041sd(Auto[-c(10:85)]$acceleration)## [1] 2.749995sd(Auto[-c(10:85)]$year)## [1] 3.690005sd(Auto[-c(10:85)]$origin)## [1] 0.8025495E. Using the full data set, investigate the predictors graphically, using scatterplots and other tools of your choice. Create some plots (at least 3) highlighting the relationships among the predictors. Comment on your findings. Hint: You can use the pairs() function on the data frame to see all pairwise scatterplots at once!
str(Auto)## 'data.frame': 397 obs. of 9 variables:
## $ mpg : num 18 15 18 16 17 15 14 14 14 15 ...
## $ cylinders : int 8 8 8 8 8 8 8 8 8 8 ...
## $ displacement: num 307 350 318 304 302 429 454 440 455 390 ...
## $ horsepower : num 130 165 150 150 140 198 220 215 225 190 ...
## $ weight : num 3504 3693 3436 3433 3449 ...
## $ acceleration: num 12 11.5 11 12 10.5 10 9 8.5 10 8.5 ...
## $ year : int 70 70 70 70 70 70 70 70 70 70 ...
## $ origin : int 1 1 1 1 1 1 1 1 1 1 ...
## $ name : Factor w/ 304 levels "amc ambassador brougham",..: 49 36 231 14 161 141 54 223 241 2 ...plot(Auto)
library(tidyverse)
ggplot(Auto, aes(y=weight, x=horsepower, color=weight))+
geom_point()## Warning: Removed 5 rows containing missing values (geom_point).
ggplot(Auto, aes(y=cylinders, x=horsepower, color=cylinders))+
geom_point()## Warning: Removed 5 rows containing missing values (geom_point).
ggplot(Auto, aes(y=acceleration, x=horsepower, color=acceleration))+
geom_point()## Warning: Removed 5 rows containing missing values (geom_point).
F. Suppose that we wish to predict gas mileage ( mpg ) on the basis of the other variables. Do your plots suggest that any of the other variables might be useful in predicting mpg ? Justify your answer
plot(Auto)
With regard to estimating mpg, displacement, horsepower and weight have statistically correlated. From the polots above, we can make an assumption that more miles per gallon increases, variables such as displacement, horsepower, and weight decrease. We can also crerate a model for linear regression from these variables and R-squared would be significant and we would be able to acquire p-value presumably less than the level of significance that is set in the analysis.
Problem 2 Working with vectors and matrices
The following is data for the box office sales of Star Wars movies.
Box office Star Wars (in millions!)
new_hope <- c(460.998, 314.4)
new_hope## [1] 460.998 314.400empire_strikes <- c(290.475, 247.900)
empire_strikes## [1] 290.475 247.900return_jedi <- c(309.306, 165.8)
return_jedi## [1] 309.306 165.800##### Vectorsregion and titles, used for naming
region <- c("US", "non-US")
region## [1] "US" "non-US"titles <- c("A New Hope", "The Empire Strikes Back", "Return of the Jedi")
titles## [1] "A New Hope" "The Empire Strikes Back"
## [3] "Return of the Jedi"A
starWars <- c(460.998, 314.4, 290.475, 247.900, 309.306, 165.8)
starWars ## [1] 460.998 314.400 290.475 247.900 309.306 165.800B
head(starWars)## [1] 460.998 314.400 290.475 247.900 309.306 165.800star_wars_matrix <- matrix(starWars, nrow = 3, byrow = TRUE,
dimnames = list(c("A New Hope", "The Empire Strikes Back", "Return of the Jedi"),
c("US", "non-US")))
star_wars_matrix## US non-US
## A New Hope 460.998 314.4
## The Empire Strikes Back 290.475 247.9
## Return of the Jedi 309.306 165.8C
#Calculate the worldwide box office figures for each movie using the rowSums() function. Name and output this vector. ?rowSums
worldwide_vector <- rowSums(star_wars_matrix)
worldwide_vector## A New Hope The Empire Strikes Back Return of the Jedi
## 775.398 538.375 475.106D
#Now we want to add a column to our matrix for worldwide sales. You can do this by using the cbind() function. This function binds columns together.
all_wars_matrix <- cbind(star_wars_matrix, worldwide_vector)
all_wars_matrix## US non-US worldwide_vector
## A New Hope 460.998 314.4 775.398
## The Empire Strikes Back 290.475 247.9 538.375
## Return of the Jedi 309.306 165.8 475.106E
Create another matrix for the prequels and name it starWars2 . Don’t forget to name the rows and the columns (similar to above) # Prequels ?prequals
phantom_menace <- c(474.5, 552.5)
phantom_menace## [1] 474.5 552.5attack_clones <- c(310.7, 338.7)
attack_clones## [1] 310.7 338.7revenge_sith <- c(380.3, 468.5)
revenge_sith## [1] 380.3 468.5region <- c("US", "non-US")
region## [1] "US" "non-US"titles2 <- c("The Phantom Menace", "Attack of the Clones", "Revenge of the Sith")
titles2## [1] "The Phantom Menace" "Attack of the Clones" "Revenge of the Sith"box_office <- c(474.5, 552.5, 310.7, 338.7, 380.3, 468.5)
star_wars_matrix_2 <- matrix(box_office, nrow = 3, byrow = TRUE,
dimnames = list(c("The Phantom Menace", "Attack of the Clones", "Revenge of the Sith"),
c("US", "non-US")))
star_wars_matrix_2## US non-US
## The Phantom Menace 474.5 552.5
## Attack of the Clones 310.7 338.7
## Revenge of the Sith 380.3 468.5 worldwide_vector <- rowSums(star_wars_matrix_2)
worldwide_vector## The Phantom Menace Attack of the Clones Revenge of the Sith
## 1027.0 649.4 848.8 all_wars_matrix_2 <- cbind(star_wars_matrix_2, worldwide_vector)
all_wars_matrix_2## US non-US worldwide_vector
## The Phantom Menace 474.5 552.5 1027.0
## Attack of the Clones 310.7 338.7 649.4
## Revenge of the Sith 380.3 468.5 848.8F
Make one big matrix that combines all the movies (from starWars and starWars2 ) using rbind() . This binds rows or in this case can be used to combine to matrices. Name this new matrix allStarWars .
all_wars_matrix_1_2 <- rbind(star_wars_matrix, star_wars_matrix_2)
all_wars_matrix_1_2## US non-US
## A New Hope 460.998 314.4
## The Empire Strikes Back 290.475 247.9
## Return of the Jedi 309.306 165.8
## The Phantom Menace 474.500 552.5
## Attack of the Clones 310.700 338.7
## Revenge of the Sith 380.300 468.5G
Find the total non-US revenue for all the movies using the colSums() function.
total_non_US_revenue_vector <- colSums(all_wars_matrix_1_2)
total_non_US_revenue_vector## US non-US
## 2226.279 2087.800Problem 3 College Data
A
#Use the read.csv() function to read the data into R. You can download the data from the book’s website (don’t forget to set the working directory) or you can use the URL.
college <- read.csv("http://faculty.marshall.usc.edu/gareth-james/ISL/College.csv", header=TRUE)
college ## X Private Apps Accept Enroll
## 1 Abilene Christian University Yes 1660 1232 721
## 2 Adelphi University Yes 2186 1924 512
## 3 Adrian College Yes 1428 1097 336
## 4 Agnes Scott College Yes 417 349 137
## 5 Alaska Pacific University Yes 193 146 55
## 6 Albertson College Yes 587 479 158
## 7 Albertus Magnus College Yes 353 340 103
## 8 Albion College Yes 1899 1720 489
## 9 Albright College Yes 1038 839 227
## 10 Alderson-Broaddus College Yes 582 498 172
## 11 Alfred University Yes 1732 1425 472
## 12 Allegheny College Yes 2652 1900 484
## 13 Allentown Coll. of St. Francis de Sales Yes 1179 780 290
## 14 Alma College Yes 1267 1080 385
## 15 Alverno College Yes 494 313 157
## 16 American International College Yes 1420 1093 220
## 17 Amherst College Yes 4302 992 418
## 18 Anderson University Yes 1216 908 423
## 19 Andrews University Yes 1130 704 322
## 20 Angelo State University No 3540 2001 1016
## 21 Antioch University Yes 713 661 252
## 22 Appalachian State University No 7313 4664 1910
## 23 Aquinas College Yes 619 516 219
## 24 Arizona State University Main campus No 12809 10308 3761
## 25 Arkansas College (Lyon College) Yes 708 334 166
## 26 Arkansas Tech University No 1734 1729 951
## 27 Assumption College Yes 2135 1700 491
## 28 Auburn University-Main Campus No 7548 6791 3070
## 29 Augsburg College Yes 662 513 257
## 30 Augustana College IL Yes 1879 1658 497
## 31 Augustana College Yes 761 725 306
## 32 Austin College Yes 948 798 295
## 33 Averett College Yes 627 556 172
## 34 Baker University Yes 602 483 206
## 35 Baldwin-Wallace College Yes 1690 1366 662
## 36 Barat College Yes 261 192 111
## 37 Bard College Yes 1910 838 285
## 38 Barnard College Yes 2496 1402 531
## 39 Barry University Yes 990 784 279
## 40 Baylor University Yes 6075 5349 2367
## 41 Beaver College Yes 1163 850 348
## 42 Bellarmine College Yes 807 707 308
## 43 Belmont Abbey College Yes 632 494 129
## 44 Belmont University Yes 1220 974 481
## 45 Beloit College Yes 1320 923 284
## 46 Bemidji State University No 1208 877 546
## 47 Benedictine College Yes 632 620 222
## 48 Bennington College Yes 519 327 114
## 49 Bentley College Yes 3466 2330 640
## 50 Berry College Yes 1858 1221 480
## 51 Bethany College Yes 878 816 200
## 52 Bethel College KS Yes 202 184 122
## 53 Bethel College Yes 502 384 104
## 54 Bethune Cookman College Yes 1646 1150 542
## 55 Birmingham-Southern College Yes 805 588 287
## 56 Blackburn College Yes 500 336 156
## 57 Bloomsburg Univ. of Pennsylvania No 6773 3028 1025
## 58 Bluefield College Yes 377 358 181
## 59 Bluffton College Yes 692 514 209
## 60 Boston University Yes 20192 13007 3810
## 61 Bowdoin College Yes 3356 1019 418
## 62 Bowling Green State University No 9251 7333 3076
## 63 Bradford College Yes 443 330 151
## 64 Bradley University Yes 3767 3414 1061
## 65 Brandeis University Yes 4186 2743 740
## 66 Brenau University Yes 367 274 158
## 67 Brewton-Parker College Yes 1436 1228 1202
## 68 Briar Cliff College Yes 392 351 155
## 69 Bridgewater College Yes 838 673 292
## 70 Brigham Young University at Provo Yes 7365 5402 4615
## 71 Brown University Yes 12586 3239 1462
## 72 Bryn Mawr College Yes 1465 810 313
## 73 Bucknell University Yes 6548 3813 862
## 74 Buena Vista College Yes 860 688 285
## 75 Butler University Yes 2362 2037 700
## 76 Cabrini College Yes 599 494 224
## 77 Caldwell College Yes 1011 604 213
## 78 California Lutheran University Yes 563 247 247
## 79 California Polytechnic-San Luis No 7811 3817 1650
## 80 California State University at Fresno No 4540 3294 1483
## 81 Calvin College Yes 1784 1512 913
## 82 Campbell University Yes 2087 1339 657
## 83 Campbellsville College Yes 848 587 298
## 84 Canisius College Yes 2853 2193 753
## 85 Capital University Yes 1747 1382 449
## 86 Capitol College Yes 100 90 35
## 87 Carleton College Yes 2694 1579 489
## 88 Carnegie Mellon University Yes 8728 5201 1191
## 89 Carroll College Yes 1160 991 352
## 90 Carson-Newman College Yes 1096 951 464
## 91 Carthage College Yes 1616 1427 434
## 92 Case Western Reserve University Yes 3877 3156 713
## 93 Castleton State College No 1257 940 363
## 94 Catawba College Yes 1083 880 291
## 95 Catholic University of America Yes 1754 1465 505
## 96 Cazenovia College Yes 3847 3433 527
## 97 Cedar Crest College Yes 776 607 198
## 98 Cedarville College Yes 1307 1090 616
## 99 Centenary College Yes 369 312 90
## 100 Centenary College of Louisiana Yes 495 434 210
## 101 Center for Creative Studies Yes 601 396 203
## 102 Central College Yes 1283 1113 401
## 103 Central Connecticut State University No 4158 2532 902
## 104 Central Missouri State University No 4681 4101 1436
## 105 Central Washington University No 2785 2011 1007
## 106 Central Wesleyan College Yes 174 146 88
## 107 Centre College Yes 1013 888 288
## 108 Chapman University Yes 959 771 351
## 109 Chatham College Yes 212 197 91
## 110 Chestnut Hill College Yes 342 254 126
## 111 Christendom College Yes 81 72 51
## 112 Christian Brothers University Yes 880 520 224
## 113 Christopher Newport University No 883 766 428
## 114 Claflin College Yes 1196 697 499
## 115 Claremont McKenna College Yes 1860 767 227
## 116 Clark University Yes 2887 2059 457
## 117 Clarke College Yes 460 340 167
## 118 Clarkson University Yes 2174 1953 557
## 119 Clemson University No 8065 5257 2301
## 120 Clinch Valley Coll. of the Univ. of Virginia No 689 561 250
## 121 Coe College Yes 1006 742 275
## 122 Coker College Yes 604 452 295
## 123 Colby College Yes 2848 1319 456
## 124 Colgate University Yes 4856 2492 727
## 125 College Misericordia Yes 1432 888 317
## 126 College of Charleston No 4772 3140 1265
## 127 College of Mount St. Joseph Yes 798 620 238
## 128 College of Mount St. Vincent Yes 946 648 177
## 129 College of Notre Dame Yes 344 264 97
## 130 College of Notre Dame of Maryland Yes 457 356 177
## 131 College of Saint Benedict Yes 938 864 511
## 132 College of Saint Catherine Yes 511 411 186
## 133 College of Saint Elizabeth Yes 444 359 122
## 134 College of Saint Rose Yes 983 664 249
## 135 College of Santa Fe Yes 546 447 189
## 136 College of St. Joseph Yes 141 118 55
## 137 College of St. Scholastica Yes 672 596 278
## 138 College of the Holy Cross Yes 2994 1691 659
## 139 College of William and Mary No 7117 3106 1217
## 140 College of Wooster Yes 2100 1883 553
## 141 Colorado College Yes 3207 1577 490
## 142 Colorado State University No 9478 6312 2194
## 143 Columbia College MO Yes 314 158 132
## 144 Columbia College Yes 737 614 242
## 145 Columbia University Yes 6756 1930 871
## 146 Concordia College at St. Paul Yes 281 266 139
## 147 Concordia Lutheran College Yes 232 216 106
## 148 Concordia University CA Yes 688 497 144
## 149 Concordia University Yes 528 403 186
## 150 Connecticut College Yes 3035 1546 438
## 151 Converse College Yes 440 407 149
## 152 Cornell College Yes 1538 1329 383
## 153 Creighton University Yes 2967 2836 876
## 154 Culver-Stockton College Yes 1576 1110 274
## 155 Cumberland College Yes 995 789 398
## 156 D'Youville College Yes 866 619 157
## 157 Dana College Yes 504 482 185
## 158 Daniel Webster College Yes 585 508 153
## 159 Dartmouth College Yes 8587 2273 1087
## 160 Davidson College Yes 2373 956 452
## 161 Defiance College Yes 571 461 174
## 162 Delta State University No 967 945 459
## 163 Denison University Yes 2762 2279 533
## 164 DePauw University Yes 1994 1656 495
## 165 Dickinson College Yes 3014 2539 487
## 166 Dickinson State University No 434 412 319
## 167 Dillard University Yes 1998 1376 651
## 168 Doane College Yes 793 709 244
## 169 Dominican College of Blauvelt Yes 360 329 108
## 170 Dordt College Yes 604 562 328
## 171 Dowling College Yes 1011 829 410
## 172 Drake University Yes 2799 2573 839
## 173 Drew University Yes 2153 1580 321
## 174 Drury College Yes 700 650 314
## 175 Duke University Yes 13789 3893 1583
## 176 Earlham College Yes 1358 1006 274
## 177 East Carolina University No 9274 6362 2435
## 178 East Tennessee State University No 3330 2730 1303
## 179 East Texas Baptist University Yes 379 341 265
## 180 Eastern College Yes 458 369 165
## 181 Eastern Connecticut State University No 2172 1493 564
## 182 Eastern Illinois University No 5597 4253 1565
## 183 Eastern Mennonite College Yes 486 440 227
## 184 Eastern Nazarene College Yes 516 409 200
## 185 Eckerd College Yes 1422 1109 366
## 186 Elizabethtown College Yes 2417 1843 426
## 187 Elmira College Yes 1457 1045 345
## 188 Elms College Yes 245 208 125
## 189 Elon College Yes 3624 2786 858
## 190 Embry Riddle Aeronautical University Yes 3151 2584 958
## 191 Emory & Henry College Yes 765 646 226
## 192 Emory University Yes 8506 4168 1236
## 193 Emporia State University No 1256 1256 853
## 194 Erskine College Yes 659 557 167
## 195 Eureka College Yes 560 454 113
## 196 Evergreen State College No 1801 1101 438
## 197 Fairfield University Yes 4784 3346 781
## 198 Fayetteville State University No 1455 1064 452
## 199 Ferrum College Yes 1339 1107 336
## 200 Flagler College Yes 1415 714 338
## 201 Florida Institute of Technology Yes 1947 1580 523
## 202 Florida International University No 3306 2079 1071
## 203 Florida Southern College Yes 1381 1040 374
## 204 Florida State University No 11651 8683 3023
## 205 Fontbonne College Yes 291 245 126
## 206 Fordham University Yes 4200 2874 942
## 207 Fort Lewis College No 3440 2823 1123
## 208 Francis Marion University No 1801 1655 819
## 209 Franciscan University of Steubenville Yes 553 452 228
## 210 Franklin College Yes 804 632 281
## 211 Franklin Pierce College Yes 5187 4471 446
## 212 Freed-Hardeman University Yes 895 548 314
## 213 Fresno Pacific College Yes 346 274 146
## 214 Furman University Yes 2161 1951 685
## 215 Gannon University Yes 2464 1908 678
## 216 Gardner Webb University Yes 1110 930 332
## 217 Geneva College Yes 668 534 237
## 218 George Fox College Yes 809 726 294
## 219 George Mason University No 5653 4326 1727
## 220 George Washington University Yes 7875 5062 1492
## 221 Georgetown College Yes 727 693 286
## 222 Georgetown University Yes 11115 2881 1390
## 223 Georgia Institute of Technology No 7837 4527 2276
## 224 Georgia State University No 3793 2341 1238
## 225 Georgian Court College Yes 348 281 127
## 226 Gettysburg College Yes 3596 2466 575
## 227 Goldey Beacom College Yes 633 468 284
## 228 Gonzaga University Yes 1886 1524 526
## 229 Gordon College Yes 674 565 282
## 230 Goshen College Yes 440 396 221
## 231 Goucher College Yes 1151 813 248
## 232 Grace College and Seminary Yes 548 428 167
## 233 Graceland College Yes 555 414 242
## 234 Grand Valley State University No 5165 3887 1561
## 235 Green Mountain College Yes 780 628 198
## 236 Greensboro College Yes 608 494 176
## 237 Greenville College Yes 510 387 194
## 238 Grinnell College Yes 2039 1389 432
## 239 Grove City College Yes 2491 1110 573
## 240 Guilford College Yes 1202 1054 326
## 241 Gustavus Adolphus College Yes 1709 1385 634
## 242 Gwynedd Mercy College Yes 380 237 104
## 243 Hamilton College Yes 3140 1783 454
## 244 Hamline University Yes 1006 825 328
## 245 Hampden - Sydney College Yes 817 644 307
## 246 Hampton University Yes 7178 3755 1433
## 247 Hanover College Yes 1006 837 317
## 248 Hardin-Simmons University Yes 467 424 350
## 249 Harding University Yes 1721 1068 806
## 250 Hartwick College Yes 2083 1725 430
## 251 Harvard University Yes 13865 2165 1606
## 252 Harvey Mudd College Yes 1377 572 178
## 253 Hastings College Yes 817 708 262
## 254 Hendrix College Yes 823 721 274
## 255 Hillsdale College Yes 920 745 347
## 256 Hiram College Yes 922 729 244
## 257 Hobart and William Smith Colleges Yes 2688 2081 500
## 258 Hofstra University Yes 7428 5860 1349
## 259 Hollins College Yes 602 498 215
## 260 Hood College Yes 699 565 176
## 261 Hope College Yes 1712 1483 624
## 262 Houghton College Yes 949 786 302
## 263 Huntingdon College Yes 608 520 127
## 264 Huntington College Yes 450 430 125
## 265 Huron University Yes 600 197 124
## 266 Husson College Yes 723 652 361
## 267 Illinois Benedictine College Yes 607 558 269
## 268 Illinois College Yes 894 787 262
## 269 Illinois Institute of Technology Yes 1756 1360 478
## 270 Illinois State University No 8681 6695 2408
## 271 Illinois Wesleyan University Yes 3050 1342 471
## 272 Immaculata College Yes 268 253 103
## 273 Incarnate Word College Yes 1163 927 386
## 274 Indiana State University No 5659 4761 3147
## 275 Indiana University at Bloomington No 16587 13243 5873
## 276 Indiana Wesleyan University Yes 735 423 366
## 277 Iona College Yes 4892 3530 913
## 278 Iowa State University No 8427 7424 3441
## 279 Ithaca College Yes 7259 5526 1368
## 280 James Madison University No 11223 5285 2082
## 281 Jamestown College Yes 472 410 262
## 282 Jersey City State College No 2957 1423 691
## 283 John Brown University Yes 605 405 284
## 284 John Carroll University Yes 2421 2109 820
## 285 Johns Hopkins University Yes 8474 3446 911
## 286 Johnson State College No 833 669 279
## 287 Judson College Yes 313 228 137
## 288 Juniata College Yes 1005 859 298
## 289 Kansas State University No 5880 4075 2833
## 290 Kansas Wesleyan University Yes 589 575 148
## 291 Keene State College No 3121 2446 822
## 292 Kentucky Wesleyan College Yes 584 497 175
## 293 Kenyon College Yes 2212 1538 408
## 294 Keuka College Yes 461 381 174
## 295 King's College Yes 1456 1053 381
## 296 King College Yes 355 300 142
## 297 Knox College Yes 1040 845 286
## 298 La Roche College Yes 361 321 185
## 299 La Salle University Yes 2929 1834 622
## 300 Lafayette College Yes 4010 2402 572
## 301 LaGrange College Yes 544 399 177
## 302 Lake Forest College Yes 979 638 271
## 303 Lakeland College Yes 497 452 231
## 304 Lamar University No 2336 1725 1043
## 305 Lambuth University Yes 831 538 224
## 306 Lander University No 1166 1009 510
## 307 Lawrence University Yes 1243 947 324
## 308 Le Moyne College Yes 1470 1199 425
## 309 Lebanon Valley College Yes 1386 1060 320
## 310 Lehigh University Yes 6397 4304 1092
## 311 Lenoir-Rhyne College Yes 979 743 259
## 312 Lesley College Yes 244 198 82
## 313 LeTourneau University Yes 477 417 204
## 314 Lewis and Clark College Yes 2774 2092 482
## 315 Lewis University Yes 1154 1050 395
## 316 Lincoln Memorial University Yes 787 562 363
## 317 Lincoln University No 1660 1091 326
## 318 Lindenwood College Yes 810 484 356
## 319 Linfield College Yes 1561 1188 458
## 320 Livingstone College Yes 900 473 217
## 321 Lock Haven University of Pennsylvania No 3570 2215 651
## 322 Longwood College No 2747 1870 724
## 323 Loras College Yes 1641 1283 527
## 324 Louisiana College Yes 2013 1053 212
## 325 Louisiana State University at Baton Rouge No 5996 4993 3079
## 326 Louisiana Tech University No 2397 2144 1525
## 327 Loyola College Yes 4076 3137 738
## 328 Loyola Marymount University Yes 3768 2662 753
## 329 Loyola University Yes 1891 1698 719
## 330 Loyola University Chicago Yes 3579 2959 868
## 331 Luther College Yes 1549 1392 587
## 332 Lycoming College Yes 1286 1005 363
## 333 Lynchburg College Yes 1756 1500 366
## 334 Lyndon State College No 535 502 223
## 335 Macalester College Yes 2939 1496 452
## 336 MacMurray College Yes 740 558 177
## 337 Malone College Yes 874 758 428
## 338 Manchester College Yes 1004 802 239
## 339 Manhattan College Yes 2432 1730 563
## 340 Manhattanville College Yes 962 750 212
## 341 Mankato State University No 3073 2672 1547
## 342 Marian College of Fond du Lac Yes 824 670 337
## 343 Marietta College Yes 1611 960 342
## 344 Marist College Yes 4731 3171 830
## 345 Marquette University Yes 5152 4600 1685
## 346 Marshall University Yes 4226 3666 2007
## 347 Mary Baldwin College Yes 499 441 199
## 348 Mary Washington College No 4350 2178 756
## 349 Marymount College Tarrytown Yes 478 327 117
## 350 Marymount Manhattan College Yes 695 535 239
## 351 Marymount University Yes 941 772 214
## 352 Maryville College Yes 1464 888 176
## 353 Maryville University Yes 549 397 169
## 354 Marywood College Yes 1107 859 323
## 355 Massachusetts Institute of Technology Yes 6411 2140 1078
## 356 Mayville State University No 233 233 153
## 357 McKendree College Yes 1002 555 119
## 358 McMurry University Yes 578 411 187
## 359 McPherson College Yes 420 293 93
## 360 Mercer University Yes 2286 1668 564
## 361 Mercyhurst College Yes 1557 1074 397
## 362 Meredith College Yes 857 772 376
## 363 Merrimack College Yes 1981 1541 514
## 364 Mesa State College No 1584 1456 891
## 365 Messiah College Yes 1742 1382 607
## 366 Miami University at Oxford No 9239 7788 3290
## 367 Michigan State University No 18114 15096 6180
## 368 Michigan Technological University No 2618 2288 1032
## 369 MidAmerica Nazarene College Yes 331 331 225
## 370 Millersville University of Penn. No 6011 3075 960
## 371 Milligan College Yes 610 461 189
## 372 Millikin University Yes 1444 1261 456
## 373 Millsaps College Yes 905 834 319
## 374 Milwaukee School of Engineering Yes 1217 1088 496
## 375 Mississippi College Yes 594 385 307
## 376 Mississippi State University No 4255 3277 1609
## 377 Mississippi University for Women No 480 405 380
## 378 Missouri Southern State College No 1576 1326 913
## 379 Missouri Valley College Yes 1310 983 316
## 380 Monmouth College IL Yes 601 503 204
## 381 Monmouth College Yes 2707 1881 478
## 382 Montana College of Mineral Sci. & Tech. No 572 544 320
## 383 Montana State University No 3500 2836 1779
## 384 Montclair State University No 5220 2128 865
## 385 Montreat-Anderson College Yes 263 223 103
## 386 Moorhead State University No 2442 2164 1189
## 387 Moravian College Yes 1232 955 303
## 388 Morehouse College Yes 3708 1678 722
## 389 Morningside College Yes 586 533 239
## 390 Morris College Yes 882 730 330
## 391 Mount Holyoke College Yes 1800 1314 526
## 392 Mount Marty College Yes 279 276 126
## 393 Mount Mary College Yes 235 217 121
## 394 Mount Mercy College Yes 368 317 159
## 395 Mount Saint Clare College Yes 325 284 95
## 396 Mount Saint Mary's College Yes 1321 1159 328
## 397 Mount Saint Mary College Yes 1170 695 238
## 398 Mount St. Mary's College Yes 657 537 113
## 399 Mount Union College Yes 1310 1086 458
## 400 Mount Vernon Nazarene College Yes 510 485 334
## 401 Muhlenberg College Yes 2519 1836 462
## 402 Murray State University No 2225 1910 1190
## 403 Muskingum College Yes 1109 922 375
## 404 National-Louis University Yes 513 347 279
## 405 Nazareth College of Rochester Yes 947 798 266
## 406 New Jersey Institute of Technology No 1879 1216 483
## 407 New Mexico Institute of Mining and Tech. No 787 601 233
## 408 New York University Yes 13594 7244 2505
## 409 Newberry College Yes 872 722 154
## 410 Niagara University Yes 2220 1796 467
## 411 North Adams State College No 1563 1005 240
## 412 North Carolina A. & T. State University No 4809 3089 1429
## 413 North Carolina State University at Raleigh No 10634 7064 3176
## 414 North Carolina Wesleyan College Yes 812 689 195
## 415 North Central College Yes 1127 884 308
## 416 North Dakota State University No 2968 2297 1610
## 417 North Park College Yes 465 361 176
## 418 Northeast Missouri State University No 6040 4577 1620
## 419 Northeastern University Yes 11901 8492 2517
## 420 Northern Arizona University No 5891 4931 1973
## 421 Northern Illinois University No 10706 7219 2397
## 422 Northwest Missouri State University No 2729 2535 1257
## 423 Northwest Nazarene College Yes 616 514 385
## 424 Northwestern College Yes 860 811 366
## 425 Northwestern University Yes 12289 5200 1902
## 426 Norwich University Yes 1743 1625 626
## 427 Notre Dame College Yes 379 324 107
## 428 Oakland University No 3041 2581 1173
## 429 Oberlin College Yes 4778 2767 678
## 430 Occidental College Yes 2324 1319 370
## 431 Oglethorpe University Yes 792 649 186
## 432 Ohio Northern University Yes 2936 2342 669
## 433 Ohio University No 11023 8298 3183
## 434 Ohio Wesleyan University Yes 2190 1700 458
## 435 Oklahoma Baptist University Yes 758 681 484
## 436 Oklahoma Christian University Yes 776 765 351
## 437 Oklahoma State University No 4522 3913 2181
## 438 Otterbein College Yes 1496 1205 428
## 439 Ouachita Baptist University Yes 910 773 450
## 440 Our Lady of the Lake University Yes 2308 1336 295
## 441 Pace University Yes 8256 3750 1522
## 442 Pacific Lutheran University Yes 1603 1392 504
## 443 Pacific Union College Yes 940 668 385
## 444 Pacific University Yes 943 849 288
## 445 Pembroke State University No 944 774 440
## 446 Pennsylvania State Univ. Main Campus No 19315 10344 3450
## 447 Pepperdine University Yes 3821 2037 680
## 448 Peru State College No 701 501 458
## 449 Pfeiffer College Yes 838 651 159
## 450 Philadelphia Coll. of Textiles and Sci. Yes 1538 1259 468
## 451 Phillips University Yes 692 576 174
## 452 Piedmont College Yes 663 562 127
## 453 Pikeville College Yes 404 400 169
## 454 Pitzer College Yes 1133 630 220
## 455 Point Loma Nazarene College Yes 809 687 428
## 456 Point Park College Yes 875 744 207
## 457 Polytechnic University Yes 1132 847 302
## 458 Prairie View A. and M. University No 2405 2234 1061
## 459 Presbyterian College Yes 1082 832 302
## 460 Princeton University Yes 13218 2042 1153
## 461 Providence College Yes 5139 3346 973
## 462 Purdue University at West Lafayette No 21804 18744 5874
## 463 Queens College Yes 516 392 154
## 464 Quincy University Yes 1025 707 297
## 465 Quinnipiac College Yes 3712 2153 806
## 466 Radford University No 5702 4894 1742
## 467 Ramapo College of New Jersey No 2088 957 362
## 468 Randolph-Macon College Yes 1771 1325 306
## 469 Randolph-Macon Woman's College Yes 696 616 169
## 470 Reed College Yes 1966 1436 327
## 471 Regis College Yes 427 385 143
## 472 Rensselaer Polytechnic Institute Yes 4996 4165 936
## 473 Rhodes College Yes 2302 1831 391
## 474 Rider University Yes 3586 2424 730
## 475 Ripon College Yes 587 501 211
## 476 Rivier College Yes 484 386 141
## 477 Roanoke College Yes 2227 1790 437
## 478 Rockhurst College Yes 935 858 345
## 479 Rocky Mountain College Yes 560 392 270
## 480 Roger Williams University Yes 3304 2804 679
## 481 Rollins College Yes 1777 1151 382
## 482 Rosary College Yes 434 321 141
## 483 Rowan College of New Jersey No 3820 1431 695
## 484 Rutgers at New Brunswick No 48094 26330 4520
## 485 Rutgers State University at Camden No 3366 1752 232
## 486 Rutgers State University at Newark No 5785 2690 499
## 487 Sacred Heart University Yes 2307 1896 509
## 488 Saint Ambrose University Yes 897 718 276
## 489 Saint Anselm College Yes 2095 1553 514
## 490 Saint Cloud State University No 3971 3306 1921
## 491 Saint Francis College IN Yes 213 166 85
## 492 Saint Francis College Yes 1046 824 284
## 493 Saint John's University Yes 933 800 444
## 494 Saint Joseph's College IN Yes 920 684 225
## 495 Saint Joseph's College Yes 833 682 217
## 496 Saint Joseph's University Yes 2519 2003 776
## 497 Saint Joseph College Yes 292 241 96
## 498 Saint Louis University Yes 3294 2855 956
## 499 Saint Mary's College Yes 888 734 393
## 500 Saint Mary's College of Minnesota Yes 876 802 367
## 501 Saint Mary-of-the-Woods College Yes 150 130 88
## 502 Saint Michael's College Yes 1910 1380 463
## 503 Saint Olaf College Yes 2248 1673 745
## 504 Saint Peter's College Yes 1606 1413 530
## 505 Saint Vincent College Yes 700 595 278
## 506 Saint Xavier University Yes 785 647 295
## 507 Salem-Teikyo University Yes 489 384 120
## 508 Salem College Yes 335 284 132
## 509 Salisbury State University No 4216 2290 736
## 510 Samford University Yes 1680 1395 691
## 511 San Diego State University No 9402 7020 2151
## 512 Santa Clara University Yes 4019 2779 888
## 513 Sarah Lawrence College Yes 1380 768 263
## 514 Savannah Coll. of Art and Design Yes 1109 688 386
## 515 Schreiner College Yes 584 413 131
## 516 Scripps College Yes 855 632 139
## 517 Seattle Pacific University Yes 1183 1016 411
## 518 Seattle University Yes 2115 1540 494
## 519 Seton Hall University Yes 4576 3565 1000
## 520 Seton Hill College Yes 936 794 197
## 521 Shippensburg University of Penn. No 5818 3281 1116
## 522 Shorter College Yes 540 445 165
## 523 Siena College Yes 2961 1932 628
## 524 Siena Heights College Yes 464 419 183
## 525 Simmons College Yes 1003 782 295
## 526 Simpson College Yes 1016 872 300
## 527 Sioux Falls College Yes 437 400 211
## 528 Skidmore College Yes 4293 2728 591
## 529 Smith College Yes 2925 1598 632
## 530 South Dakota State University No 2807 2589 1701
## 531 Southeast Missouri State University No 2281 1870 1408
## 532 Southeastern Oklahoma State Univ. No 818 700 447
## 533 Southern California College Yes 385 340 193
## 534 Southern Illinois University at Edwardsville No 2540 2195 994
## 535 Southern Methodist University Yes 4301 3455 1166
## 536 Southwest Baptist University Yes 1093 1093 642
## 537 Southwest Missouri State University No 6118 5254 3204
## 538 Southwest State University No 1047 938 511
## 539 Southwestern Adventist College Yes 321 318 172
## 540 Southwestern College Yes 213 155 75
## 541 Southwestern University Yes 1244 912 352
## 542 Spalding University Yes 283 201 97
## 543 Spelman College Yes 3713 1237 443
## 544 Spring Arbor College Yes 372 362 181
## 545 St. Bonaventure University Yes 1489 1313 375
## 546 St. John's College Yes 323 278 122
## 547 St. John Fisher College Yes 1368 1064 354
## 548 St. Lawrence University Yes 2753 1820 505
## 549 St. Martin's College Yes 191 165 63
## 550 St. Mary's College of California Yes 2643 1611 465
## 551 St. Mary's College of Maryland No 1340 695 285
## 552 St. Mary's University of San Antonio Yes 1243 1020 414
## 553 St. Norbert College Yes 1334 1243 568
## 554 St. Paul's College Yes 651 581 243
## 555 St. Thomas Aquinas College Yes 861 609 215
## 556 Stephens College Yes 450 405 194
## 557 Stetson University Yes 1557 1227 489
## 558 Stevens Institute of Technology Yes 1768 1249 380
## 559 Stockton College of New Jersey No 4019 1579 710
## 560 Stonehill College Yes 3646 2300 585
## 561 SUNY at Albany No 13528 9198 1843
## 562 SUNY at Binghamton No 14463 6166 1757
## 563 SUNY at Buffalo No 15039 9649 3087
## 564 SUNY at Stony Brook No 12512 6969 1724
## 565 SUNY College at Brockport No 7294 3564 904
## 566 SUNY College at Oswego No 8000 4556 1464
## 567 SUNY College at Buffalo No 5318 3515 1025
## 568 SUNY College at Cortland No 7888 3519 1036
## 569 SUNY College at Fredonia No 4877 2798 814
## 570 SUNY College at Geneseo No 8598 4562 1143
## 571 SUNY College at New Paltz No 8399 3609 656
## 572 SUNY College at Plattsburgh No 5549 3583 853
## 573 SUNY College at Potsdam No 3150 2289 650
## 574 SUNY College at Purchase No 2119 1264 390
## 575 Susquehanna University Yes 2096 1512 465
## 576 Sweet Briar College Yes 462 402 146
## 577 Syracuse University Yes 10477 7260 2442
## 578 Tabor College Yes 257 183 109
## 579 Talladega College Yes 4414 1500 335
## 580 Taylor University Yes 1769 1092 437
## 581 Tennessee Wesleyan College Yes 232 182 99
## 582 Texas A&M Univ. at College Station No 14474 10519 6392
## 583 Texas A&M University at Galveston No 529 481 243
## 584 Texas Christian University Yes 4095 3079 1195
## 585 Texas Lutheran College Yes 497 423 215
## 586 Texas Southern University No 4345 3245 2604
## 587 Texas Wesleyan University Yes 592 501 279
## 588 The Citadel No 1500 1242 611
## 589 Thiel College Yes 1154 951 253
## 590 Tiffin University Yes 845 734 254
## 591 Transylvania University Yes 759 729 244
## 592 Trenton State College No 5042 2312 944
## 593 Tri-State University Yes 1262 1102 276
## 594 Trinity College CT Yes 3058 1798 478
## 595 Trinity College DC Yes 247 189 100
## 596 Trinity College VT Yes 222 185 91
## 597 Trinity University Yes 2425 1818 601
## 598 Tulane University Yes 7033 5125 1223
## 599 Tusculum College Yes 626 372 145
## 600 Tuskegee University Yes 2267 1827 611
## 601 Union College KY Yes 484 384 177
## 602 Union College NY Yes 3495 1712 528
## 603 Univ. of Wisconsin at OshKosh No 4800 2900 1515
## 604 University of Alabama at Birmingham No 1797 1260 938
## 605 University of Arkansas at Fayetteville No 3235 3108 2133
## 606 University of California at Berkeley No 19873 8252 3215
## 607 University of California at Irvine No 15698 10775 2478
## 608 University of Central Florida No 6986 2959 1918
## 609 University of Charleston Yes 682 535 204
## 610 University of Chicago Yes 6348 2999 922
## 611 University of Cincinnati No 6855 5553 2408
## 612 University of Connecticut at Storrs No 9735 7187 2064
## 613 University of Dallas Yes 681 588 246
## 614 University of Dayton Yes 6361 5293 1507
## 615 University of Delaware Yes 14446 10516 3252
## 616 University of Denver Yes 2974 2001 580
## 617 University of Detroit Mercy Yes 927 731 415
## 618 University of Dubuque Yes 576 558 137
## 619 University of Evansville Yes 2096 1626 694
## 620 University of Florida No 12445 8836 3623
## 621 University of Georgia No 11220 7871 3320
## 622 University of Hartford Yes 5081 4040 1194
## 623 University of Hawaii at Manoa No 3580 2603 1627
## 624 University of Illinois - Urbana No 14939 11652 5705
## 625 University of Illinois at Chicago No 8384 5727 2710
## 626 University of Indianapolis Yes 1487 1276 388
## 627 University of Kansas No 8579 5561 3681
## 628 University of La Verne Yes 1597 969 226
## 629 University of Louisville No 4777 3057 1823
## 630 University of Maine at Farmington No 1208 803 438
## 631 University of Maine at Machias No 441 369 172
## 632 University of Maine at Presque Isle No 461 381 235
## 633 University of Maryland at Baltimore County No 4269 2594 985
## 634 University of Maryland at College Park No 14292 10315 3409
## 635 University of Massachusetts at Amherst No 14438 12414 3816
## 636 University of Massachusetts at Dartmouth No 3347 2597 1006
## 637 University of Miami Yes 7122 5386 1643
## 638 University of Michigan at Ann Arbor No 19152 12940 4893
## 639 University of Minnesota at Duluth No 4192 3126 1656
## 640 University of Minnesota at Morris No 1458 874 588
## 641 University of Minnesota Twin Cities No 11054 6397 3524
## 642 University of Mississippi No 3844 3383 1669
## 643 University of Missouri at Columbia No 6574 4637 2940
## 644 University of Missouri at Rolla No 1877 1826 823
## 645 University of Missouri at Saint Louis No 1618 1141 479
## 646 University of Mobile Yes 452 331 269
## 647 University of Montevallo No 1351 892 570
## 648 University of Nebraska at Lincoln No 6277 6003 3526
## 649 University of New England Yes 1209 750 265
## 650 University of New Hampshire No 9750 7640 2529
## 651 University of North Carolina at Asheville No 1757 979 394
## 652 University of North Carolina at Chapel Hill No 14596 5985 3331
## 653 University of North Carolina at Charlotte No 5803 4441 1730
## 654 University of North Carolina at Greensboro No 5191 4134 1500
## 655 University of North Carolina at Wilmington No 6071 3856 1449
## 656 University of North Dakota No 2777 2249 1652
## 657 University of North Florida No 1800 1253 560
## 658 University of North Texas No 4418 2737 2049
## 659 University of Northern Colorado No 5530 4007 1697
## 660 University of Northern Iowa No 4144 3379 1853
## 661 University of Notre Dame Yes 7700 3700 1906
## 662 University of Oklahoma No 4743 3970 2233
## 663 University of Oregon No 8631 6732 2546
## 664 University of Pennsylvania Yes 12394 5232 2464
## 665 University of Pittsburgh-Main Campus No 8586 6383 2503
## 666 University of Portland Yes 1758 1485 419
## 667 University of Puget Sound Yes 4044 2826 688
## 668 University of Rhode Island No 9643 7751 1968
## 669 University of Richmond Yes 5892 2718 756
## 670 University of Rochester Yes 8766 5498 1243
## 671 University of San Diego Yes 3934 2735 886
## 672 University of San Francisco Yes 2306 1721 538
## 673 University of Sci. and Arts of Oklahoma No 285 280 208
## 674 University of Scranton Yes 4471 2942 910
## 675 University of South Carolina at Aiken No 848 560 377
## 676 University of South Carolina at Columbia No 7693 5815 2328
## 677 University of South Florida No 7589 4676 1876
## 678 University of Southern California Yes 12229 8498 2477
## 679 University of Southern Colorado No 1401 1239 605
## 680 University of Southern Indiana No 2379 2133 1292
## 681 University of Southern Mississippi No 2850 2044 1046
## 682 University of St. Thomas MN Yes 2057 1807 828
## 683 University of St. Thomas TX Yes 374 280 185
## 684 University of Tennessee at Knoxville No 7473 5372 3013
## 685 University of Texas at Arlington No 3281 2559 1448
## 686 University of Texas at Austin No 14752 9572 5329
## 687 University of Texas at San Antonio No 4217 3100 1686
## 688 University of the Arts Yes 974 704 290
## 689 University of the Pacific Yes 2459 1997 582
## 690 University of the South Yes 1445 966 326
## 691 University of Tulsa Yes 1712 1557 696
## 692 University of Utah No 5095 4491 2400
## 693 University of Vermont No 7663 6008 1735
## 694 University of Virginia No 15849 5384 2678
## 695 University of Washington No 12749 7025 3343
## 696 University of West Florida No 1558 1254 472
## 697 University of Wisconsin-Stout No 2593 1966 1030
## 698 University of Wisconsin-Superior No 910 910 342
## 699 University of Wisconsin-Whitewater No 4400 3719 1472
## 700 University of Wisconsin at Green Bay No 2409 1939 759
## 701 University of Wisconsin at Madison No 14901 10932 4631
## 702 University of Wisconsin at Milwaukee No 5244 3782 1930
## 703 University of Wyoming No 2029 1516 1073
## 704 Upper Iowa University Yes 663 452 192
## 705 Ursinus College Yes 1399 1026 308
## 706 Ursuline College Yes 325 260 86
## 707 Valley City State University No 368 344 212
## 708 Valparaiso University Yes 2075 1727 520
## 709 Vanderbilt University Yes 7791 4690 1499
## 710 Vassar College Yes 3550 1877 653
## 711 Villanova University Yes 7759 5588 1477
## 712 Virginia Commonwealth University No 4963 3497 1567
## 713 Virginia State University No 2996 2440 704
## 714 Virginia Tech No 15712 11719 4277
## 715 Virginia Union University Yes 1847 1610 453
## 716 Virginia Wesleyan College Yes 1470 900 287
## 717 Viterbo College Yes 647 518 271
## 718 Voorhees College Yes 1465 1006 188
## 719 Wabash College Yes 800 623 256
## 720 Wagner College Yes 1416 1015 417
## 721 Wake Forest University Yes 5661 2392 903
## 722 Walsh University Yes 1092 890 477
## 723 Warren Wilson College Yes 440 311 112
## 724 Wartburg College Yes 1231 1074 345
## 725 Washington and Jefferson College Yes 1305 1100 334
## 726 Washington and Lee University Yes 3315 1096 425
## 727 Washington College Yes 1209 942 214
## 728 Washington State University No 6540 5839 2440
## 729 Washington University Yes 7654 5259 1254
## 730 Wayne State College No 1373 1373 724
## 731 Waynesburg College Yes 1190 978 324
## 732 Webber College Yes 280 143 79
## 733 Webster University Yes 665 462 226
## 734 Wellesley College Yes 2895 1249 579
## 735 Wells College Yes 318 240 130
## 736 Wentworth Institute of Technology Yes 1480 1257 452
## 737 Wesley College Yes 980 807 350
## 738 Wesleyan University Yes 4772 1973 712
## 739 West Chester University of Penn. No 6502 3539 1372
## 740 West Liberty State College No 1164 1062 478
## 741 West Virginia Wesleyan College Yes 1566 1400 483
## 742 Western Carolina University No 3224 2519 1057
## 743 Western Maryland College Yes 1205 984 278
## 744 Western Michigan University No 9167 7191 2738
## 745 Western New England College Yes 1650 1471 409
## 746 Western State College of Colorado No 2702 1623 604
## 747 Western Washington University No 5548 3563 1549
## 748 Westfield State College No 3100 2150 825
## 749 Westminster College MO Yes 662 553 184
## 750 Westminster College Yes 996 866 377
## 751 Westminster College of Salt Lake City Yes 917 720 213
## 752 Westmont College No 950 713 351
## 753 Wheaton College IL Yes 1432 920 548
## 754 Westminster College PA Yes 1738 1373 417
## 755 Wheeling Jesuit College Yes 903 755 213
## 756 Whitman College Yes 1861 998 359
## 757 Whittier College Yes 1681 1069 344
## 758 Whitworth College Yes 1121 926 372
## 759 Widener University Yes 2139 1492 502
## 760 Wilkes University Yes 1631 1431 434
## 761 Willamette University Yes 1658 1327 395
## 762 William Jewell College Yes 663 547 315
## 763 William Woods University Yes 469 435 227
## 764 Williams College Yes 4186 1245 526
## 765 Wilson College Yes 167 130 46
## 766 Wingate College Yes 1239 1017 383
## 767 Winona State University No 3325 2047 1301
## 768 Winthrop University No 2320 1805 769
## 769 Wisconsin Lutheran College Yes 152 128 75
## 770 Wittenberg University Yes 1979 1739 575
## 771 Wofford College Yes 1501 935 273
## 772 Worcester Polytechnic Institute Yes 2768 2314 682
## 773 Worcester State College No 2197 1515 543
## 774 Xavier University Yes 1959 1805 695
## 775 Xavier University of Louisiana Yes 2097 1915 695
## 776 Yale University Yes 10705 2453 1317
## 777 York College of Pennsylvania Yes 2989 1855 691
## Top10perc Top25perc F.Undergrad P.Undergrad Outstate Room.Board Books
## 1 23 52 2885 537 7440 3300 450
## 2 16 29 2683 1227 12280 6450 750
## 3 22 50 1036 99 11250 3750 400
## 4 60 89 510 63 12960 5450 450
## 5 16 44 249 869 7560 4120 800
## 6 38 62 678 41 13500 3335 500
## 7 17 45 416 230 13290 5720 500
## 8 37 68 1594 32 13868 4826 450
## 9 30 63 973 306 15595 4400 300
## 10 21 44 799 78 10468 3380 660
## 11 37 75 1830 110 16548 5406 500
## 12 44 77 1707 44 17080 4440 400
## 13 38 64 1130 638 9690 4785 600
## 14 44 73 1306 28 12572 4552 400
## 15 23 46 1317 1235 8352 3640 650
## 16 9 22 1018 287 8700 4780 450
## 17 83 96 1593 5 19760 5300 660
## 18 19 40 1819 281 10100 3520 550
## 19 14 23 1586 326 9996 3090 900
## 20 24 54 4190 1512 5130 3592 500
## 21 25 44 712 23 15476 3336 400
## 22 20 63 9940 1035 6806 2540 96
## 23 20 51 1251 767 11208 4124 350
## 24 24 49 22593 7585 7434 4850 700
## 25 46 74 530 182 8644 3922 500
## 26 12 52 3602 939 3460 2650 450
## 27 23 59 1708 689 12000 5920 500
## 28 25 57 16262 1716 6300 3933 600
## 29 12 30 2074 726 11902 4372 540
## 30 36 69 1950 38 13353 4173 540
## 31 21 58 1337 300 10990 3244 600
## 32 42 74 1120 15 11280 4342 400
## 33 16 40 777 538 9925 4135 750
## 34 21 47 958 466 8620 4100 400
## 35 30 61 2718 1460 10995 4410 1000
## 36 15 36 453 266 9690 4300 500
## 37 50 85 1004 15 19264 6206 750
## 38 53 95 2121 69 17926 8124 600
## 39 18 45 1811 3144 11290 5360 600
## 40 34 66 9919 484 6450 3920 600
## 41 23 56 878 519 12850 5400 400
## 42 39 63 1198 605 8840 2950 750
## 43 17 36 709 131 9000 4850 300
## 44 28 67 1964 623 7800 3664 650
## 45 26 54 1085 81 16304 3616 355
## 46 12 36 3796 824 4425 2700 660
## 47 14 24 702 501 9550 3850 350
## 48 25 53 457 2 21700 4100 600
## 49 20 60 3095 1533 13800 5510 630
## 50 37 68 1620 49 8050 3940 350
## 51 16 41 706 62 8740 3363 550
## 52 19 42 537 101 8540 3580 500
## 53 11 28 347 74 6200 2900 600
## 54 12 30 2128 82 5188 3396 650
## 55 67 88 1376 207 11660 4325 400
## 56 25 55 421 27 6500 2700 500
## 57 15 55 5847 946 7844 2948 500
## 58 15 30 653 129 7150 4350 450
## 59 20 50 760 81 9900 3990 400
## 60 45 80 14971 3113 18420 6810 475
## 61 76 100 1490 8 19030 5885 1495
## 62 14 45 13699 1213 7452 3352 600
## 63 5 36 453 42 14080 6270 500
## 64 30 58 4531 643 10870 4440 2000
## 65 48 77 2819 62 19380 6750 410
## 66 12 41 917 479 9592 5879 500
## 67 10 26 1320 822 4371 2370 500
## 68 16 44 738 430 10260 3597 600
## 69 22 53 881 55 10265 4725 560
## 70 48 82 27378 1253 2340 3580 860
## 71 87 95 5643 349 19528 5926 720
## 72 71 95 1088 16 18165 6750 500
## 73 49 85 3316 31 18550 4750 800
## 74 32 70 1928 442 13306 3797 450
## 75 40 68 2607 148 13130 4650 500
## 76 8 28 1035 446 10518 6250 300
## 77 17 42 693 868 8900 4600 425
## 78 23 52 1427 432 12950 5300 612
## 79 47 73 12911 1404 7380 4877 612
## 80 5 60 13494 1254 7706 4368 600
## 81 29 56 3401 136 10230 3710 400
## 82 20 54 3191 1204 7550 2790 600
## 83 25 55 935 184 6060 3070 600
## 84 16 34 2978 434 10750 5340 400
## 85 34 66 1662 960 13050 4000 500
## 86 10 52 282 331 8400 2812 300
## 87 75 93 1870 12 19292 3957 550
## 88 60 89 4265 291 17900 5690 450
## 89 19 55 1357 737 12200 3880 480
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## 663 25 61 11669 1605 10602 3660 570
## 664 85 100 9205 531 17020 7270 500
## 665 25 59 13138 4289 10786 4560 400
## 666 27 58 2041 174 12040 4100 600
## 667 51 83 2738 138 16230 4500 630
## 668 12 40 8894 2456 10330 5558 500
## 669 46 72 2854 594 14500 3285 700
## 670 56 75 5071 438 17840 6582 500
## 671 40 70 3698 217 13600 5940 630
## 672 23 48 4309 549 13226 6452 750
## 673 21 43 1140 473 3687 1920 600
## 674 29 60 3674 493 11584 5986 650
## 675 14 24 1855 1412 5800 3066 500
## 676 30 66 12594 3661 8074 3522 495
## 677 29 63 14770 10962 6760 3776 500
## 678 45 71 13259 1429 17230 6482 600
## 679 10 34 3716 675 7100 4380 540
## 680 8 25 4283 2973 4973 3192 500
## 681 20 50 9260 1387 4652 2470 500
## 682 26 53 4106 982 11712 4037 500
## 683 45 77 995 408 8550 4050 500
## 684 27 53 15749 3237 5764 3262 750
## 685 19 43 10975 8431 4422 2780 500
## 686 48 85 30017 5189 5130 3309 650
## 687 17 46 9375 5457 4104 5376 452
## 688 5 22 1145 39 12520 3860 1300
## 689 36 66 2664 299 16320 5326 646
## 690 46 83 1129 24 15350 4080 450
## 691 41 68 2936 433 11750 4160 1200
## 692 27 53 13894 8374 6857 3975 858
## 693 18 51 7353 1674 15516 4928 500
## 694 74 95 11278 114 12212 3792 500
## 695 40 81 20356 4582 8199 4218 708
## 696 20 57 3754 2477 6172 3994 541
## 697 9 32 6038 579 6704 2592 376
## 698 14 53 1434 417 7032 2780 550
## 699 12 38 7804 1552 6950 2500 300
## 700 17 50 3819 1347 6900 2800 475
## 701 36 80 23945 2200 9096 4290 535
## 702 12 37 11561 7443 8786 2964 570
## 703 23 46 7535 1488 5988 3422 600
## 704 10 35 1481 1160 8840 3060 500
## 705 44 77 1131 17 14900 5160 500
## 706 21 47 699 717 9600 4202 450
## 707 5 27 863 189 4286 2570 600
## 708 49 81 2501 198 11800 3260 500
## 709 71 92 5500 90 17865 6525 630
## 710 53 87 2164 77 18920 5950 600
## 711 30 68 6362 1292 15925 6507 400
## 712 18 45 10262 5065 10217 4182 500
## 713 2 30 3006 338 5587 4845 500
## 714 29 53 18511 604 10260 3176 740
## 715 19 59 1298 67 7384 3494 500
## 716 20 49 1130 417 10900 5100 500
## 717 17 43 1014 387 9140 3365 500
## 718 10 30 703 20 4450 2522 500
## 719 41 76 801 5 12925 4195 500
## 720 10 44 1324 117 13500 5800 585
## 721 75 88 3499 172 13850 4360 500
## 722 27 92 847 497 8670 4180 500
## 723 25 49 466 7 10000 3052 400
## 724 34 66 1295 105 11600 3610 400
## 725 42 64 1098 151 16260 4005 300
## 726 68 93 1584 3 13750 4619 680
## 727 31 60 822 46 15276 5318 500
## 728 31 70 14445 1344 8200 4210 800
## 729 62 93 4879 1274 18350 5775 768
## 730 6 21 2754 474 2700 2660 540
## 731 12 30 1280 61 8840 3620 500
## 732 5 27 327 110 5590 2900 650
## 733 17 44 1739 1550 9160 4340 500
## 734 80 96 2195 156 18345 5995 500
## 735 40 85 416 19 14900 5550 600
## 736 6 25 2961 572 9850 6050 850
## 737 10 25 872 448 9890 4674 500
## 738 60 86 2714 27 19130 5600 1400
## 739 11 51 7484 1904 7844 4108 400
## 740 12 25 2138 227 4470 2890 600
## 741 28 55 1509 170 14200 3775 450
## 742 11 31 5000 706 6390 2380 110
## 743 31 50 1071 98 14510 5340 500
## 744 24 53 15739 4278 6940 4100 500
## 745 7 21 1803 1116 8994 5500 498
## 746 7 24 2315 146 5918 3755 500
## 747 30 71 8909 506 8124 4144 639
## 748 3 20 3234 941 5542 3788 500
## 749 20 43 665 37 10720 4050 600
## 750 29 58 1411 72 12065 3615 430
## 751 21 60 979 743 8820 4050 600
## 752 42 72 1276 9 14320 5304 490
## 753 56 84 2200 56 11480 4200 530
## 754 21 55 1335 30 18460 5970 700
## 755 15 49 971 305 10500 4545 600
## 756 45 77 1220 46 16670 4900 750
## 757 35 63 1235 30 16249 5699 500
## 758 43 70 1270 160 12660 4500 678
## 759 24 64 2186 2171 12350 5370 500
## 760 15 36 1803 603 11150 5130 550
## 761 49 80 1595 159 14800 4620 400
## 762 32 67 1279 75 10060 2970 500
## 763 17 39 851 120 10535 4365 550
## 764 81 96 1988 29 19629 5790 500
## 765 16 50 199 676 11428 5084 450
## 766 10 34 1207 157 7820 3400 550
## 767 20 45 5800 872 4200 2700 300
## 768 24 61 3395 670 6400 3392 580
## 769 17 41 282 22 9100 3700 500
## 770 42 68 1980 144 15948 4404 400
## 771 51 83 1059 34 12680 4150 605
## 772 49 86 2802 86 15884 5370 530
## 773 4 26 3089 2029 6797 3900 500
## 774 24 47 2849 1107 11520 4960 600
## 775 34 61 2793 166 6900 4200 617
## 776 95 99 5217 83 19840 6510 630
## 777 28 63 2988 1726 4990 3560 500
## Personal PhD Terminal S.F.Ratio perc.alumni Expend Grad.Rate
## 1 2200 70 78 18.1 12 7041 60
## 2 1500 29 30 12.2 16 10527 56
## 3 1165 53 66 12.9 30 8735 54
## 4 875 92 97 7.7 37 19016 59
## 5 1500 76 72 11.9 2 10922 15
## 6 675 67 73 9.4 11 9727 55
## 7 1500 90 93 11.5 26 8861 63
## 8 850 89 100 13.7 37 11487 73
## 9 500 79 84 11.3 23 11644 80
## 10 1800 40 41 11.5 15 8991 52
## 11 600 82 88 11.3 31 10932 73
## 12 600 73 91 9.9 41 11711 76
## 13 1000 60 84 13.3 21 7940 74
## 14 400 79 87 15.3 32 9305 68
## 15 2449 36 69 11.1 26 8127 55
## 16 1400 78 84 14.7 19 7355 69
## 17 1598 93 98 8.4 63 21424 100
## 18 1100 48 61 12.1 14 7994 59
## 19 1320 62 66 11.5 18 10908 46
## 20 2000 60 62 23.1 5 4010 34
## 21 1100 69 82 11.3 35 42926 48
## 22 2000 83 96 18.3 14 5854 70
## 23 1615 55 65 12.7 25 6584 65
## 24 2100 88 93 18.9 5 4602 48
## 25 800 79 88 12.6 24 14579 54
## 26 1000 57 60 19.6 5 4739 48
## 27 500 93 93 13.8 30 7100 88
## 28 1908 85 91 16.7 18 6642 69
## 29 950 65 65 12.8 31 7836 58
## 30 821 78 83 12.7 40 9220 71
## 31 1021 66 70 10.4 30 6871 69
## 32 1150 81 95 13.0 33 11361 71
## 33 1350 59 67 22.4 11 6523 48
## 34 2250 58 68 11.0 21 6136 65
## 35 1000 68 74 17.6 20 8086 85
## 36 500 57 77 9.7 35 9337 71
## 37 750 98 98 10.4 30 13894 79
## 38 850 83 93 10.3 33 12580 91
## 39 1800 76 78 12.6 11 9084 72
## 40 1346 71 76 18.5 38 7503 72
## 41 800 78 89 12.2 30 8954 73
## 42 1290 74 82 13.1 31 6668 84
## 43 2480 78 85 13.2 10 7550 52
## 44 900 61 61 11.1 19 7614 49
## 45 715 87 95 11.1 26 12957 69
## 46 1800 57 62 19.6 16 3752 46
## 47 250 64 84 14.1 18 5922 58
## 48 500 35 59 10.1 33 16364 55
## 49 850 87 87 17.5 20 10941 82
## 50 2375 80 80 16.3 17 10511 63
## 51 1700 62 68 11.6 29 7718 48
## 52 1400 61 80 8.8 32 8324 56
## 53 800 63 63 11.7 13 7623 35
## 54 2500 48 48 13.8 9 6817 58
## 55 900 74 79 14.0 34 8649 72
## 56 1000 76 76 14.3 53 8377 51
## 57 1680 66 68 18.0 19 7041 75
## 58 1500 61 67 17.8 3 6259 53
## 59 900 76 71 13.3 19 9073 58
## 60 1025 80 81 11.9 16 16836 72
## 61 875 93 96 11.2 52 20447 96
## 62 1700 81 89 21.1 14 6918 67
## 63 900 57 80 10.2 21 15387 46
## 64 1522 75 81 14.4 21 7671 85
## 65 1000 90 97 9.8 24 17150 84
## 66 700 71 80 13.7 12 5935 49
## 67 2000 62 62 12.6 10 4900 18
## 68 1500 39 66 13.1 26 8355 58
## 69 875 68 73 13.2 24 8655 82
## 70 1220 76 76 20.5 40 7916 33
## 71 1100 99 100 7.6 39 20440 97
## 72 1200 100 100 12.3 49 17449 89
## 73 1200 95 97 14.2 36 13675 93
## 74 950 62 69 8.8 10 6333 78
## 75 1600 77 81 10.9 29 9511 83
## 76 300 59 76 16.5 36 7117 71
## 77 1000 87 96 13.9 25 7922 55
## 78 576 72 74 12.4 17 8985 60
## 79 2091 72 81 19.8 13 8453 59
## 80 1926 90 90 21.2 8 7268 61
## 81 1210 75 81 14.8 41 7786 81
## 82 500 77 77 21.8 34 3739 63
## 83 1300 62 66 17.7 13 5391 49
## 84 1130 90 92 14.6 26 7972 64
## 85 800 64 69 12.1 27 9557 83
## 86 2134 10 50 12.1 24 7976 52
## 87 550 81 93 10.4 60 17960 91
## 88 1250 86 93 9.2 31 24386 74
## 89 930 74 81 17.8 25 7666 79
## 90 500 61 62 13.6 16 6716 67
## 91 1300 74 89 15.9 22 7364 62
## 92 1460 95 95 2.9 29 19733 67
## 93 700 89 91 14.7 8 6318 79
## 94 1860 75 82 13.5 27 8425 55
## 95 1100 90 96 9.3 18 12751 75
## 96 500 22 47 14.3 20 7697 118
## 97 1000 58 83 11.7 39 10961 74
## 98 1000 50 52 15.3 34 6897 64
## 99 760 41 85 9.5 20 9583 24
## 100 1900 86 92 11.3 25 9685 66
## 101 620 8 58 6.8 4 13025 47
## 102 600 76 90 13.5 29 8444 67
## 103 985 69 73 16.7 4 4900 49
## 104 2250 69 80 19.7 4 5501 50
## 105 1416 67 89 18.1 0 6413 51
## 106 600 62 62 15.2 18 3365 58
## 107 900 95 99 11.4 60 13118 74
## 108 1100 72 80 12.8 6 12692 47
## 109 850 95 98 9.3 37 16095 52
## 110 850 71 71 8.3 29 7729 73
## 111 800 92 92 9.3 17 10922 58
## 112 900 81 81 11.1 24 8129 63
## 113 1889 80 82 21.2 16 4639 48
## 114 1000 69 69 16.9 31 7083 21
## 115 850 99 99 9.6 52 18443 87
## 116 950 94 95 10.5 35 11951 79
## 117 900 67 71 11.0 27 7963 74
## 118 1300 95 95 15.8 32 11659 77
## 119 1618 82 88 18.0 17 7597 73
## 120 1900 67 67 18.1 9 4417 46
## 121 2200 73 86 12.7 32 10141 67
## 122 1000 64 77 12.1 39 8741 75
## 123 1000 83 94 10.2 41 15954 91
## 124 750 95 98 10.5 45 15494 93
## 125 900 56 62 12.9 23 8604 96
## 126 2316 73 78 17.2 18 4776 51
## 127 1150 46 46 11.1 35 6889 100
## 128 1000 75 77 11.9 35 10015 83
## 129 2250 77 80 10.4 7 9773 43
## 130 700 64 64 11.5 32 7477 75
## 131 600 70 88 13.1 26 8847 72
## 132 1000 63 87 11.5 32 7315 77
## 133 1000 68 70 11.4 23 9447 78
## 134 1500 66 71 14.3 28 6084 64
## 135 1200 40 74 14.0 7 8820 80
## 136 1300 53 53 9.5 19 6936 76
## 137 1146 54 76 11.6 33 8996 72
## 138 900 92 96 11.3 55 12138 95
## 139 800 89 92 12.1 31 9534 93
## 140 500 84 96 11.1 43 14140 69
## 141 1200 85 97 11.3 51 14664 84
## 142 1800 87 89 19.2 10 7850 59
## 143 900 87 87 15.3 2 5015 37
## 144 1500 61 77 14.7 34 8693 76
## 145 300 97 98 5.9 21 30639 99
## 146 950 69 75 12.8 18 6955 45
## 147 1825 67 76 12.1 9 6875 42
## 148 1515 55 60 13.1 13 8415 55
## 149 1000 56 64 12.1 13 7309 75
## 150 500 86 95 10.7 40 14773 91
## 151 900 63 76 10.2 31 10965 75
## 152 800 71 76 12.2 31 10340 64
## 153 2055 85 90 6.5 32 22906 85
## 154 500 51 52 14.1 28 5807 51
## 155 600 42 44 13.0 4 8189 63
## 156 1320 68 68 14.6 42 6898 46
## 157 1450 46 51 12.6 25 8686 54
## 158 500 61 61 22.2 10 8643 72
## 159 1100 95 99 4.7 49 29619 98
## 160 1011 95 97 12.0 46 17581 94
## 161 1159 58 60 12.8 19 7505 56
## 162 1200 49 63 17.1 16 5113 58
## 163 600 88 97 11.6 45 12423 81
## 164 950 78 94 11.1 31 11525 82
## 165 1250 87 94 11.2 39 13861 87
## 166 2000 50 64 16.5 28 4525 46
## 167 2307 52 52 14.1 12 7566 61
## 168 1000 67 72 15.1 42 6852 60
## 169 1800 43 43 12.7 5 5480 54
## 170 2800 61 60 12.5 17 7325 87
## 171 1413 77 78 12.4 7 11178 42
## 172 1675 88 93 15.0 24 9473 77
## 173 660 93 97 10.2 28 14907 83
## 174 750 82 92 13.2 35 9303 67
## 175 1162 95 96 5.0 44 27206 97
## 176 600 90 94 10.6 46 14634 78
## 177 1700 74 78 13.2 18 9002 58
## 178 2200 73 75 14.0 9 9825 42
## 179 1500 62 62 15.7 7 5619 38
## 180 1230 60 60 13.6 22 8135 54
## 181 500 71 76 16.9 14 5719 50
## 182 1730 62 71 16.2 5 5682 76
## 183 1300 46 65 11.4 29 10188 82
## 184 700 58 58 17.3 17 6430 70
## 185 1000 82 89 12.8 26 15003 59
## 186 750 65 68 12.8 25 9815 81
## 187 550 77 98 21.5 21 7502 64
## 188 1700 71 71 11.3 21 8952 86
## 189 1777 70 74 18.9 34 6329 63
## 190 3020 37 43 16.5 4 12878 44
## 191 1600 79 88 13.9 51 8061 82
## 192 870 97 98 5.0 28 28457 96
## 193 1888 72 75 19.3 4 5527 50
## 194 1246 76 80 13.5 47 7527 67
## 195 670 62 87 10.6 31 9552 53
## 196 1323 75 78 18.1 14 8355 68
## 197 1100 86 90 15.1 30 11220 94
## 198 766 75 75 15.1 10 6972 24
## 199 1600 53 58 12.5 9 7967 22
## 200 2140 52 60 18.1 9 3930 69
## 201 1500 90 90 10.6 7 8923 57
## 202 3028 81 96 13.9 20 6722 66
## 203 650 65 74 17.4 10 6339 68
## 204 1020 80 89 23.1 15 7250 58
## 205 1500 45 55 21.5 24 4607 62
## 206 1735 86 97 14.4 14 10864 80
## 207 2500 89 97 19.1 6 4362 46
## 208 2430 76 76 19.1 8 5039 43
## 209 1000 57 69 14.9 8 6336 83
## 210 1345 54 78 12.5 37 11751 60
## 211 800 50 56 17.6 16 6418 51
## 212 1600 68 76 16.1 13 6078 62
## 213 1818 59 59 10.5 14 8095 54
## 214 1250 92 95 13.5 28 12940 82
## 215 1380 47 51 13.3 18 7711 65
## 216 500 65 58 15.2 12 5664 29
## 217 1100 67 67 20.1 26 6786 74
## 218 1050 53 53 13.5 22 7136 52
## 219 1050 93 96 19.3 7 6751 46
## 220 950 92 93 7.6 15 14745 72
## 221 550 73 76 13.3 28 7508 55
## 222 1700 91 92 7.2 27 19635 95
## 223 1164 92 92 19.3 33 11271 70
## 224 3450 87 89 19.0 10 7762 34
## 225 800 56 59 12.2 27 7348 76
## 226 500 94 95 12.1 32 14720 83
## 227 1830 25 25 27.6 4 6081 36
## 228 2400 78 90 14.7 32 9553 69
## 229 1200 73 82 14.2 32 9226 66
## 230 1230 51 56 9.9 46 10270 72
## 231 1200 78 90 9.2 34 16623 77
## 232 1000 53 59 15.3 26 9798 64
## 233 880 51 61 23.6 24 5609 47
## 234 1000 64 66 20.6 9 5063 57
## 235 850 77 83 14.0 24 6475 76
## 236 1300 64 80 13.0 31 7949 39
## 237 800 57 61 14.3 16 8222 60
## 238 400 88 92 9.5 54 18979 83
## 239 350 65 65 18.4 18 4957 100
## 240 1050 78 86 15.6 30 9114 65
## 241 700 79 89 12.5 58 9907 80
## 242 500 36 41 7.8 22 7483 96
## 243 800 91 96 9.6 60 17761 91
## 244 550 89 93 13.0 33 10296 65
## 245 600 95 97 13.3 53 12263 69
## 246 2000 60 64 14.0 9 6791 70
## 247 1200 84 84 10.6 26 9248 64
## 248 2140 75 79 13.7 10 7054 38
## 249 910 71 77 17.7 37 6466 73
## 250 700 75 87 12.3 32 11625 73
## 251 1920 97 97 9.9 52 37219 100
## 252 900 100 100 8.2 46 21569 100
## 253 1902 57 63 13.0 17 7335 52
## 254 1200 82 99 13.1 26 8588 63
## 255 750 80 80 12.0 31 12639 79
## 256 1000 75 95 10.6 34 12165 79
## 257 600 99 99 12.1 37 13040 79
## 258 1000 81 90 13.9 10 10093 60
## 259 850 78 91 11.1 48 13957 72
## 260 690 82 88 14.4 34 12434 72
## 261 1100 72 81 12.5 40 9284 72
## 262 1500 85 90 15.0 24 8187 67
## 263 1100 63 72 11.4 9 7703 44
## 264 1300 76 76 11.8 25 9466 47
## 265 1840 31 35 12.9 4 9249 21
## 266 1500 36 44 22.0 4 4923 84
## 267 1500 81 91 11.6 29 8324 75
## 268 1000 75 75 15.6 30 7348 52
## 269 700 80 88 12.3 26 12851 56
## 270 2605 77 84 21.0 16 5569 54
## 271 650 77 92 12.9 34 9605 83
## 272 1000 56 64 11.2 33 7305 69
## 273 2775 67 69 11.4 21 6095 95
## 274 2500 72 76 16.6 8 6996 40
## 275 2000 77 88 21.3 24 8686 68
## 276 1000 49 51 39.8 15 6562 34
## 277 1150 66 83 16.0 14 8107 66
## 278 2055 81 88 19.2 22 8420 65
## 279 1000 58 79 11.5 25 9812 75
## 280 732 77 81 17.9 29 5212 98
## 281 400 51 53 17.0 21 3186 54
## 282 1500 63 67 14.9 10 8367 26
## 283 1350 68 68 13.3 19 8118 75
## 284 450 89 90 14.5 28 7738 89
## 285 1040 96 97 3.3 38 56233 90
## 286 624 80 91 14.4 15 6564 36
## 287 1700 34 55 10.6 30 7840 56
## 288 420 97 97 12.7 37 12067 80
## 289 2000 76 86 18.5 22 6122 54
## 290 1400 63 55 12.4 14 6535 68
## 291 1150 73 73 16.1 13 6195 61
## 292 1300 57 65 11.3 32 7058 62
## 293 480 95 95 11.1 46 14067 88
## 294 750 55 94 13.3 43 7863 51
## 295 1795 66 72 15.6 37 7649 87
## 296 3000 65 68 10.7 25 8954 65
## 297 800 88 95 12.7 33 13224 79
## 298 1100 57 73 14.2 14 7022 52
## 299 3160 90 90 15.1 9 9084 84
## 300 1000 93 96 10.5 38 15365 92
## 301 1500 77 83 12.5 12 9067 75
## 302 1320 91 94 10.7 19 15687 77
## 303 1000 49 65 17.2 25 4054 57
## 304 1463 48 82 18.4 12 5879 26
## 305 1590 61 61 16.1 10 5531 60
## 306 1702 67 77 17.0 11 6119 51
## 307 975 76 92 10.1 57 13965 77
## 308 900 89 92 13.3 28 8118 94
## 309 1125 84 84 12.3 30 8196 85
## 310 1130 96 99 12.5 43 14665 91
## 311 1000 88 92 12.0 20 8539 66
## 312 805 71 88 27.8 18 8694 58
## 313 1400 58 70 20.8 23 6863 56
## 314 950 97 98 12.3 21 12999 69
## 315 1200 36 48 14.3 10 7701 61
## 316 1300 67 72 14.6 35 5177 53
## 317 1400 71 72 12.6 8 10912 45
## 318 4200 65 85 24.1 9 3480 100
## 319 900 89 91 17.8 34 8747 81
## 320 900 53 93 10.4 16 9268 92
## 321 500 47 55 16.1 14 6374 63
## 322 2200 74 80 18.4 23 5553 62
## 323 1200 61 62 14.2 24 7578 70
## 324 1655 64 74 10.5 11 7547 59
## 325 2242 83 87 15.9 11 6741 37
## 326 1656 66 77 20.0 13 4546 45
## 327 900 86 88 14.7 27 9448 80
## 328 1328 84 88 14.2 10 11677 84
## 329 750 77 88 11.7 14 9456 53
## 330 2000 94 95 6.2 15 13009 65
## 331 400 73 85 13.8 38 8949 77
## 332 900 75 81 14.0 32 8024 72
## 333 870 62 66 12.4 24 8832 70
## 334 600 48 65 12.6 15 7114 51
## 335 700 85 91 11.9 37 14213 77
## 336 950 49 55 10.8 33 10642 59
## 337 1200 42 45 17.6 16 4796 55
## 338 1450 63 72 11.8 20 7940 64
## 339 1800 92 92 13.6 25 10062 79
## 340 400 97 97 11.3 24 11291 70
## 341 1660 57 68 19.0 11 5801 68
## 342 1100 37 37 8.4 21 5352 59
## 343 810 80 97 13.2 30 10223 96
## 344 1200 74 81 17.6 34 8408 69
## 345 1950 86 94 13.5 25 9982 77
## 346 1560 77 86 16.6 10 6203 50
## 347 1300 66 79 6.8 50 10819 90
## 348 2102 75 80 17.6 30 5358 84
## 349 1075 71 93 10.3 30 10502 77
## 350 1100 63 76 11.7 20 10622 68
## 351 750 77 82 10.6 17 8575 55
## 352 1642 80 90 11.1 43 8317 51
## 353 1350 52 58 13.1 13 5925 61
## 354 700 65 76 11.8 30 9034 66
## 355 1600 99 99 10.1 35 33541 94
## 356 1900 68 68 15.7 11 6971 51
## 357 800 70 74 17.7 21 6652 52
## 358 1525 57 64 11.0 11 6383 32
## 359 2740 54 54 9.8 45 9754 48
## 360 1500 93 95 9.2 15 8995 91
## 361 1000 45 63 16.7 29 7307 78
## 362 1520 77 82 13.9 33 6881 82
## 363 1000 73 75 16.8 22 8707 80
## 364 2256 48 48 28.8 12 3871 59
## 365 1200 68 75 14.1 30 7762 89
## 366 1382 81 89 17.6 20 7846 85
## 367 600 93 95 14.0 9 10520 71
## 368 1200 82 82 17.0 25 7473 65
## 369 4913 33 33 15.4 20 5524 49
## 370 1258 72 74 16.8 20 7832 71
## 371 1000 63 69 12.0 16 8128 64
## 372 965 60 77 11.4 25 8149 75
## 373 1350 82 89 12.7 38 11218 58
## 374 2075 35 46 16.7 23 7140 67
## 375 700 77 79 16.5 18 6170 61
## 376 1479 77 77 15.9 20 6223 53
## 377 1500 49 54 15.8 8 5704 63
## 378 400 52 54 20.3 9 4172 100
## 379 900 35 67 17.4 16 4333 27
## 380 460 91 91 11.6 43 11087 56
## 381 1740 70 85 14.2 15 9492 54
## 382 1400 71 71 16.4 31 6112 74
## 383 2300 75 83 17.6 8 6324 37
## 384 950 82 87 21.5 9 6717 58
## 385 2958 42 50 11.1 4 11989 15
## 386 1000 76 81 18.1 19 4795 60
## 387 1250 86 92 15.2 28 9566 74
## 388 600 71 74 17.8 10 8122 83
## 389 1000 48 68 13.0 32 8111 56
## 390 2100 53 60 18.6 34 6990 60
## 391 750 79 91 9.0 51 18359 84
## 392 500 45 55 11.7 38 5073 44
## 393 1125 51 51 10.7 26 7016 78
## 394 2285 44 50 11.3 30 6695 64
## 395 1200 32 37 13.6 43 6525 21
## 396 900 77 82 12.8 36 8536 80
## 397 1400 74 75 15.3 23 6898 88
## 398 1278 53 71 11.9 19 10613 72
## 399 1150 85 87 16.7 35 7215 81
## 400 600 57 57 19.8 7 6869 58
## 401 850 76 86 12.8 39 10888 83
## 402 940 72 76 20.2 27 5972 52
## 403 800 73 85 13.4 27 9333 73
## 404 500 62 65 18.3 2 7905 71
## 405 800 77 93 13.6 24 8797 61
## 406 1850 92 98 13.5 19 12529 72
## 407 1100 99 100 13.7 11 9241 34
## 408 1000 87 98 7.8 16 21227 71
## 409 1500 57 63 11.4 32 5788 83
## 410 650 68 100 14.2 20 7788 65
## 411 1000 65 71 14.2 17 6562 57
## 412 1651 72 72 16.7 9 7090 44
## 413 1300 92 98 17.5 21 9670 62
## 414 1295 77 77 12.7 11 10090 52
## 415 1800 73 87 16.4 33 8871 76
## 416 2000 79 83 17.0 24 6310 42
## 417 970 76 79 13.1 24 10889 74
## 418 1100 69 72 15.7 13 6601 76
## 419 1750 73 82 12.9 17 9563 46
## 420 2342 78 83 21.7 7 6157 41
## 421 1750 73 78 17.3 11 6086 56
## 422 1630 62 65 21.7 23 5284 54
## 423 822 59 59 14.8 20 6261 58
## 424 1800 68 68 14.9 34 6357 68
## 425 1585 96 100 6.8 25 26385 92
## 426 800 71 74 13.1 22 9209 63
## 427 600 44 47 12.1 26 4948 33
## 428 650 88 90 19.7 13 6637 53
## 429 1119 77 96 10.1 47 16593 83
## 430 1152 91 93 10.5 30 16196 79
## 431 4110 91 95 13.1 27 8568 67
## 432 825 73 78 14.5 31 9979 83
## 433 2300 79 87 20.4 13 8811 64
## 434 550 93 93 12.1 32 12011 75
## 435 1290 63 71 15.1 18 5511 50
## 436 1900 58 64 16.2 8 6578 45
## 437 3100 84 92 15.3 14 6433 48
## 438 840 62 68 13.9 30 8802 87
## 439 1500 63 67 13.3 10 6413 65
## 440 1576 56 64 14.9 25 7114 37
## 441 1115 90 95 13.8 10 10059 62
## 442 1516 78 78 11.0 23 9431 83
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## 444 1100 76 76 10.9 22 11216 42
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#rownames(college) <- college[,1]
#View(college)C
#a. Use the summary() function to produce a numerical summary of the variables in the data set.
summary(college)## X Private Apps Accept
## Abilene Christian University: 1 No :212 Min. : 81 Min. : 72
## Adelphi University : 1 Yes:565 1st Qu.: 776 1st Qu.: 604
## Adrian College : 1 Median : 1558 Median : 1110
## Agnes Scott College : 1 Mean : 3002 Mean : 2019
## Alaska Pacific University : 1 3rd Qu.: 3624 3rd Qu.: 2424
## Albertson College : 1 Max. :48094 Max. :26330
## (Other) :771
## Enroll Top10perc Top25perc F.Undergrad
## Min. : 35 Min. : 1.00 Min. : 9.0 Min. : 139
## 1st Qu.: 242 1st Qu.:15.00 1st Qu.: 41.0 1st Qu.: 992
## Median : 434 Median :23.00 Median : 54.0 Median : 1707
## Mean : 780 Mean :27.56 Mean : 55.8 Mean : 3700
## 3rd Qu.: 902 3rd Qu.:35.00 3rd Qu.: 69.0 3rd Qu.: 4005
## Max. :6392 Max. :96.00 Max. :100.0 Max. :31643
##
## P.Undergrad Outstate Room.Board Books
## Min. : 1.0 Min. : 2340 Min. :1780 Min. : 96.0
## 1st Qu.: 95.0 1st Qu.: 7320 1st Qu.:3597 1st Qu.: 470.0
## Median : 353.0 Median : 9990 Median :4200 Median : 500.0
## Mean : 855.3 Mean :10441 Mean :4358 Mean : 549.4
## 3rd Qu.: 967.0 3rd Qu.:12925 3rd Qu.:5050 3rd Qu.: 600.0
## Max. :21836.0 Max. :21700 Max. :8124 Max. :2340.0
##
## Personal PhD Terminal S.F.Ratio
## Min. : 250 Min. : 8.00 Min. : 24.0 Min. : 2.50
## 1st Qu.: 850 1st Qu.: 62.00 1st Qu.: 71.0 1st Qu.:11.50
## Median :1200 Median : 75.00 Median : 82.0 Median :13.60
## Mean :1341 Mean : 72.66 Mean : 79.7 Mean :14.09
## 3rd Qu.:1700 3rd Qu.: 85.00 3rd Qu.: 92.0 3rd Qu.:16.50
## Max. :6800 Max. :103.00 Max. :100.0 Max. :39.80
##
## perc.alumni Expend Grad.Rate
## Min. : 0.00 Min. : 3186 Min. : 10.00
## 1st Qu.:13.00 1st Qu.: 6751 1st Qu.: 53.00
## Median :21.00 Median : 8377 Median : 65.00
## Mean :22.74 Mean : 9660 Mean : 65.46
## 3rd Qu.:31.00 3rd Qu.:10830 3rd Qu.: 78.00
## Max. :64.00 Max. :56233 Max. :118.00
## #b. Use the pairs() function to produce a scatterplot matrix of the first ten columns or variables in the data. Recall that you can reference the first ten columns of a matrix A using A[,1:10] .
pairs(college[,1:10])
#c. Use the plot() or ggplot() function to produce side-by-side boxplots of Outstate vs Private .
plot(college$Outstate, college$Private)
geom_boxplot()## geom_boxplot: outlier.colour = NULL, outlier.fill = NULL, outlier.shape = 19, outlier.size = 1.5, outlier.stroke = 0.5, outlier.alpha = NULL, notch = FALSE, notchwidth = 0.5, varwidth = FALSE, na.rm = FALSE
## stat_boxplot: na.rm = FALSE
## position_dodge2#d. Create a new qualitative variable, called Elite , by binning the Top10perc variable. We are going to divide universities into two groups based on whether or not the proportion of students coming from the top 10% of their high school class exceed 50%.
Elite <- rep("No", nrow(college))
Elite[college$Top10perc > 50] = "Yes"
Elite <- as.factor(Elite)
Elite ## [1] No No No Yes No No No No No No No No No No No No Yes No
## [19] No No No No No No No No No No No No No No No No No No
## [37] No Yes No No No No No No No No No No No No No No No No
## [55] Yes No No No No No Yes No No No No No No No No No Yes Yes
## [73] No No No No No No No No No No No No No No Yes Yes No No
## [91] No Yes No No No No No No No No No No No No No No Yes No
## [109] No No No No No No Yes No No No No No No No Yes No No No
## [127] No No No No No No No No No No No Yes Yes No Yes No No No
## [145] Yes No No No No No No No No No No No No No Yes Yes No No
## [163] No No No No No No No No No No Yes No Yes No No No No No
## [181] No No No No No No No No No No No Yes No No No No No No
## [199] No No No No No No No No No No No No No No Yes Yes No No
## [217] No No No No No Yes Yes No No No No No No No No No No No
## [235] No No No Yes Yes No No No No No No No No No No No Yes Yes
## [253] No Yes No No No No No No No No No No No No No No No No
## [271] Yes No No No No No No No No No No No No No Yes No No No
## [289] No No No No No No No No No No No No No No No No No No
## [307] No No No No No No No No No No No No No No No No No No
## [325] No No No No No No No No No No Yes No No No No No No No
## [343] No No No No No No No No No No No No Yes No No No No No
## [361] No No No No No No No No No No No No No No No No No No
## [379] No No No No No No No No No No No No No No No No No No
## [397] No No No No No No No No No No No Yes No Yes No No No No
## [415] No No No No No No No No No No Yes No No No No Yes Yes No
## [433] No No No No No No No No No No No No No No Yes No No No
## [451] No No No No No No Yes No No Yes No No No No No No No No
## [469] No No No Yes Yes No No No No No No No No No No No No No
## [487] No No No No No No No No No No No No No No No No No No
## [505] No No No No No No No No Yes No No Yes No No No No No No
## [523] No No No No No No Yes No No No No No No No No No No No
## [541] No No No No No No No No No No No No No No No No No Yes
## [559] No No No Yes No No No No No No No Yes No No No No No No
## [577] No No No No No No No No No No No No No No Yes Yes No No
## [595] No No Yes No No No No No No No No Yes Yes No No Yes No No
## [613] No No No No No No No Yes No No No Yes No No No No No No
## [631] No No No No No No No Yes No Yes No No No No No No No No
## [649] No No No Yes No No No No No No No No Yes No No Yes No No
## [667] Yes No No Yes No No No No No No No No No No No No No No
## [685] No No No No No No No No No Yes No No No No No No No No
## [703] No No No No No No Yes Yes No No No No No No No No No No
## [721] Yes No No No No Yes No No Yes No No No No Yes No No No Yes
## [739] No No No No No No No No No No No No No No Yes No No No
## [757] No No No No No No No Yes No No No No No No Yes No No No
## [775] No Yes No
## Levels: No Yescollege <- data.frame(college, Elite)
summary(Elite)## No Yes
## 699 78ggplot(college, aes(x=Outstate, y=Elite))+
geom_boxplot()