R Quiz for Batch 1 & 2 Answe Answer:____________r the following question and publish in rpubs and share the link
Part 1
Q1) How many data structures does R language have? ___________________________
R has 5 kinds of data structures : 1. atomic vector 2. lists 3. matrix 4. data frame 5. factors
Q2) What is the value of f(5) for the following R code?
b <- 4
f <- function (a)
{
b <- 3
b^3
}f(5) = 27 Q3) Fix the error in the code? printmessage <- function (a) { if (is.na (a) print (“a is a missing value!”) else if (a < 0){ print (“a is less than zero”) } else{ print (“a is greater than or equal to zero”) } }
printmessage (NA) #CORRECTED CODE :
printmessage <- function (a) {
if (is.na (a)){
print ("a is a missing value!")}
else if (a < 0){
print ("a is less than zero")
}
else{
print ("a is greater than or equal to zero")
}
}
printmessage (NA)## [1] "a is a missing value!"#Output : a is a missing value!
Q4) What is the difference between data frame and a matrix in R?
Answer:_______________________________________
#A matrix is a collection of data sets arranged in a two dimensional rectangular organisation. A dataframe stores data tables that contains multiple data types in multiple column called fields.
#A matrix is an m*n array with similar data type. A dataframe is a list of vector of equal length. It is a generalized form of matrix.
#A matrix has fixed number of rows and columns. A dataframe has variable number of rows and columns.
#The data stored in columns in a matrix can be only of same data type. The data stored in a dataframe must be numeric, character or factor type.
#Matrix is homogeneous, whereas Dataframe is homogeneous.
Q5) Two vectors X and Y are defined as follows – X <- c(3, 2, 4) and Y <- c(1, 2). What will be output of vector Z that is defined as Z <- X*Y.
x <- c(3,2,4)
y <- c(1,2)
z <- x*y## Warning in x * y: longer object length is not a multiple of shorter object
## lengthz## [1] 3 4 4#Output : z = (3,4,4)
Q6) Drop variables v2 & v3 from the below dataframe df<-data.frame(v1=c(1:5),v2=c(2:6),v3=c(3:7),v4=c(4:8))
df<-data.frame(v1=c(1:5),v2=c(2:6),v3=c(3:7),v4=c(4:8))
df = subset(df, select = -c(v2,v3) )Q7) What will be the output of the following R programming code?
x<-5
if(x%%2==0)
print(“X is an even number”)
else
print(“X is an odd number”)
“X is an even number X is an odd number”
Q8) I have a string “contact@boston.in”. Which string function can be used to split the string into two different strings “contact@boston” and “in”?
#The str_split function needs to be used for this
library(stringr)## Warning: package 'stringr' was built under R version 4.0.3con <- "contact@boston.in"
x <- strsplit(con,'.',fixed = TRUE)
print(x)## [[1]]
## [1] "contact@boston" "in"Q9) Write a R program to find the counts of uniques for the given vector
tt <- c("a", "b", "a", "a", "b", "c", "a1", "a1", "a1")
library("microbenchmark")## Warning: package 'microbenchmark' was built under R version 4.0.3x <- (length(unique(x)))
x## [1] 1Q10) Write a R program to find the cumulative frequency for given vector?
Sales = c(10,2,40,13,34,12,35,67,12,56,14,56,134)
cumsum(Sales)## [1] 10 12 52 65 99 111 146 213 225 281 295 351 485Part 2 For the given dataset carrying out following tasks Dataset: ##The dataset is given in the link 1) Find missing value in the dataset 2) Impute missing values in the dataset using missforest package 3) Find summary statistics using dplyr package 4) What is the avg amount spend by Male and Females? 5) Using GGplots library build 5 graphs?
df <- data.frame(read.csv("C:/Users/hdar0/Documents/R Test/Test in R/german_credit_data_risk.csv"))
library(missForest)## Warning: package 'missForest' was built under R version 4.0.3## Loading required package: randomForest## Warning: package 'randomForest' was built under R version 4.0.3## randomForest 4.6-14## Type rfNews() to see new features/changes/bug fixes.## Loading required package: foreach## Loading required package: itertools## Warning: package 'itertools' was built under R version 4.0.3## Loading required package: iteratorslibrary(dplyr)##
## Attaching package: 'dplyr'## The following object is masked from 'package:randomForest':
##
## combine## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionsummary(df)## X Age Sex Job
## Min. : 0.0 Min. :19.00 Length:1000 Min. :0.000
## 1st Qu.:249.8 1st Qu.:27.00 Class :character 1st Qu.:2.000
## Median :499.5 Median :33.00 Mode :character Median :2.000
## Mean :499.5 Mean :35.55 Mean :1.904
## 3rd Qu.:749.2 3rd Qu.:42.00 3rd Qu.:2.000
## Max. :999.0 Max. :75.00 Max. :3.000
## Housing Saving.accounts Checking.account Credit.amount
## Length:1000 Length:1000 Length:1000 Min. : 250
## Class :character Class :character Class :character 1st Qu.: 1366
## Mode :character Mode :character Mode :character Median : 2320
## Mean : 3271
## 3rd Qu.: 3972
## Max. :18424
## Duration Purpose Risk
## Min. : 4.0 Length:1000 Length:1000
## 1st Qu.:12.0 Class :character Class :character
## Median :18.0 Mode :character Mode :character
## Mean :20.9
## 3rd Qu.:24.0
## Max. :72.0df## X Age Sex Job Housing Saving.accounts Checking.account Credit.amount
## 1 0 67 male 2 own <NA> little 1169
## 2 1 22 female 2 own little moderate 5951
## 3 2 49 male 1 own little <NA> 2096
## 4 3 45 male 2 free little little 7882
## 5 4 53 male 2 free little little 4870
## 6 5 35 male 1 free <NA> <NA> 9055
## 7 6 53 male 2 own quite rich <NA> 2835
## 8 7 35 male 3 rent little moderate 6948
## 9 8 61 male 1 own rich <NA> 3059
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## 13 12 22 female 2 own little moderate 1567
## 14 13 60 male 1 own little little 1199
## 15 14 28 female 2 rent little little 1403
## 16 15 32 female 1 own moderate little 1282
## 17 16 53 male 2 own <NA> <NA> 2424
## 18 17 25 male 2 own <NA> little 8072
## 19 18 44 female 3 free little moderate 12579
## 20 19 31 male 2 own quite rich <NA> 3430
## 21 20 48 male 2 own little <NA> 2134
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## 24 23 44 male 2 own moderate moderate 1804
## 25 24 26 male 2 own <NA> <NA> 2069
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## 27 26 39 male 1 own little <NA> 426
## 28 27 42 female 2 rent rich rich 409
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## 39 38 37 male 2 own little rich 1225
## 40 39 24 male 2 own little moderate 458
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## 42 41 26 male 2 own quite rich moderate 1158
## 43 42 44 male 1 own little moderate 6204
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## 45 44 58 female 1 free little little 6143
## 46 45 35 female 3 own little <NA> 1393
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## 48 47 23 female 0 rent quite rich little 1352
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## 213 212 50 male 2 own little little 5293
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## 219 218 24 male 1 rent little little 3021
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## 227 226 27 male 2 own rich moderate 10961
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## 243 242 24 male 2 free little little 4605
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## 245 244 35 female 1 own quite rich <NA> 3447
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## 248 247 35 male 2 rent moderate <NA> 1204
## 249 248 26 male 2 own little rich 1925
## 250 249 22 female 2 rent little <NA> 433
## 251 250 39 female 1 own rich little 666
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## 413 412 42 male 3 own little <NA> 2292
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## 415 414 35 female 2 own <NA> little 1381
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## 418 417 23 female 2 rent <NA> little 8471
## 419 418 31 female 3 own quite rich <NA> 2782
## 420 419 33 female 2 own <NA> moderate 1042
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## 440 439 26 female 0 own little rich 609
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## 443 442 29 male 2 own little moderate 2629
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## 445 444 30 female 3 own little moderate 5096
## 446 445 41 female 1 rent <NA> <NA> 1244
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## 448 447 35 male 2 own little moderate 2576
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## 450 449 61 male 2 own rich moderate 1512
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## 986 985 25 female 2 rent little little 1433
## 987 986 33 male 2 own little rich 6289
## 988 987 64 female 2 own moderate <NA> 1409
## 989 988 29 male 3 free little little 6579
## 990 989 48 male 1 own little moderate 1743
## 991 990 37 male 1 own <NA> <NA> 3565
## 992 991 34 male 1 own moderate <NA> 1569
## 993 992 23 male 1 rent <NA> little 1936
## 994 993 30 male 3 own little little 3959
## 995 994 50 male 2 own <NA> <NA> 2390
## 996 995 31 female 1 own little <NA> 1736
## 997 996 40 male 3 own little little 3857
## 998 997 38 male 2 own little <NA> 804
## 999 998 23 male 2 free little little 1845
## 1000 999 27 male 2 own moderate moderate 4576
## Duration Purpose Risk
## 1 6 radio/TV good
## 2 48 radio/TV bad
## 3 12 education good
## 4 42 furniture/equipment good
## 5 24 car bad
## 6 36 education good
## 7 24 furniture/equipment good
## 8 36 car good
## 9 12 radio/TV good
## 10 30 car bad
## 11 12 car bad
## 12 48 business bad
## 13 12 radio/TV good
## 14 24 car bad
## 15 15 car good
## 16 24 radio/TV bad
## 17 24 radio/TV good
## 18 30 business good
## 19 24 car bad
## 20 24 radio/TV good
## 21 9 car good
## 22 6 radio/TV good
## 23 10 car good
## 24 12 car good
## 25 10 furniture/equipment good
## 26 6 furniture/equipment good
## 27 6 radio/TV good
## 28 12 radio/TV good
## 29 7 radio/TV good
## 30 60 business bad
## 31 18 business good
## 32 24 furniture/equipment good
## 33 18 car good
## 34 12 business good
## 35 12 furniture/equipment good
## 36 45 radio/TV bad
## 37 48 education good
## 38 18 radio/TV bad
## 39 10 domestic appliances good
## 40 9 radio/TV good
## 41 30 radio/TV good
## 42 12 radio/TV good
## 43 18 repairs good
## 44 30 car good
## 45 48 car bad
## 46 11 car good
## 47 36 radio/TV good
## 48 6 car good
## 49 11 car good
## 50 12 radio/TV good
## 51 24 furniture/equipment good
## 52 27 car good
## 53 12 radio/TV good
## 54 18 car good
## 55 36 car bad
## 56 6 car good
## 57 12 radio/TV bad
## 58 36 radio/TV good
## 59 18 car good
## 60 36 furniture/equipment bad
## 61 9 business good
## 62 15 radio/TV good
## 63 36 business bad
## 64 48 business bad
## 65 24 radio/TV good
## 66 27 repairs good
## 67 12 radio/TV good
## 68 12 car good
## 69 36 education bad
## 70 36 radio/TV good
## 71 36 car good
## 72 7 radio/TV good
## 73 8 vacation/others good
## 74 42 business good
## 75 36 education bad
## 76 12 car good
## 77 42 radio/TV bad
## 78 11 radio/TV good
## 79 54 car good
## 80 30 furniture/equipment good
## 81 24 radio/TV bad
## 82 15 radio/TV good
## 83 18 business good
## 84 24 vacation/others good
## 85 10 radio/TV good
## 86 12 business good
## 87 18 furniture/equipment good
## 88 36 education bad
## 89 18 car good
## 90 12 repairs bad
## 91 12 radio/TV good
## 92 12 car good
## 93 12 radio/TV bad
## 94 24 furniture/equipment good
## 95 12 car good
## 96 54 business bad
## 97 12 education good
## 98 18 business good
## 99 36 radio/TV good
## 100 20 car good
## 101 24 car good
## 102 36 radio/TV good
## 103 6 radio/TV good
## 104 9 furniture/equipment good
## 105 12 car good
## 106 24 vacation/others bad
## 107 18 car bad
## 108 12 car good
## 109 24 furniture/equipment good
## 110 14 business good
## 111 6 business good
## 112 15 education good
## 113 18 car good
## 114 36 car bad
## 115 12 radio/TV good
## 116 48 radio/TV good
## 117 42 radio/TV bad
## 118 10 furniture/equipment good
## 119 33 furniture/equipment bad
## 120 12 car good
## 121 21 radio/TV bad
## 122 24 car good
## 123 12 furniture/equipment good
## 124 10 car good
## 125 18 furniture/equipment bad
## 126 12 car good
## 127 12 radio/TV good
## 128 12 repairs bad
## 129 12 car good
## 130 12 car bad
## 131 48 car good
## 132 36 education bad
## 133 15 furniture/equipment good
## 134 18 furniture/equipment good
## 135 60 radio/TV good
## 136 12 radio/TV good
## 137 27 car good
## 138 12 radio/TV bad
## 139 15 radio/TV good
## 140 12 radio/TV good
## 141 6 car good
## 142 36 radio/TV good
## 143 27 radio/TV good
## 144 18 furniture/equipment bad
## 145 21 furniture/equipment good
## 146 48 business good
## 147 6 car good
## 148 12 car good
## 149 36 furniture/equipment good
## 150 18 radio/TV good
## 151 6 radio/TV good
## 152 10 radio/TV good
## 153 36 radio/TV good
## 154 24 car good
## 155 24 business good
## 156 12 furniture/equipment bad
## 157 9 repairs good
## 158 12 education good
## 159 24 car good
## 160 6 radio/TV good
## 161 24 radio/TV good
## 162 18 car good
## 163 15 domestic appliances good
## 164 10 car good
## 165 36 car good
## 166 6 furniture/equipment good
## 167 18 furniture/equipment bad
## 168 11 furniture/equipment good
## 169 24 furniture/equipment good
## 170 24 business bad
## 171 15 car bad
## 172 12 furniture/equipment good
## 173 24 furniture/equipment bad
## 174 8 radio/TV good
## 175 21 education bad
## 176 30 car bad
## 177 12 furniture/equipment good
## 178 6 radio/TV good
## 179 12 radio/TV good
## 180 21 car good
## 181 36 business bad
## 182 36 business bad
## 183 21 car bad
## 184 24 furniture/equipment good
## 185 18 car bad
## 186 15 radio/TV good
## 187 9 car bad
## 188 16 car good
## 189 12 radio/TV bad
## 190 18 furniture/equipment good
## 191 24 business bad
## 192 48 business bad
## 193 27 business bad
## 194 6 radio/TV good
## 195 45 radio/TV bad
## 196 9 education bad
## 197 6 radio/TV good
## 198 12 furniture/equipment bad
## 199 24 car good
## 200 18 furniture/equipment bad
## 201 9 education good
## 202 12 car good
## 203 27 business good
## 204 12 education bad
## 205 12 car good
## 206 30 car good
## 207 12 furniture/equipment good
## 208 12 domestic appliances good
## 209 24 business good
## 210 12 car good
## 211 9 radio/TV good
## 212 36 radio/TV good
## 213 27 business bad
## 214 30 business bad
## 215 36 radio/TV good
## 216 6 education good
## 217 18 business good
## 218 36 radio/TV good
## 219 24 furniture/equipment good
## 220 10 car good
## 221 12 radio/TV good
## 222 12 education good
## 223 12 radio/TV good
## 224 24 business good
## 225 15 car good
## 226 36 repairs good
## 227 48 radio/TV bad
## 228 12 furniture/equipment bad
## 229 9 radio/TV bad
## 230 24 furniture/equipment good
## 231 36 radio/TV bad
## 232 9 car good
## 233 12 radio/TV good
## 234 18 radio/TV good
## 235 4 radio/TV good
## 236 24 radio/TV bad
## 237 6 car bad
## 238 21 business bad
## 239 12 radio/TV good
## 240 30 radio/TV good
## 241 24 car bad
## 242 6 radio/TV good
## 243 48 car bad
## 244 12 business good
## 245 12 education good
## 246 24 business good
## 247 12 radio/TV good
## 248 6 car good
## 249 24 furniture/equipment good
## 250 18 radio/TV bad
## 251 6 car good
## 252 12 furniture/equipment good
## 253 30 car bad
## 254 24 furniture/equipment good
## 255 9 furniture/equipment good
## 256 60 radio/TV good
## 257 24 radio/TV good
## 258 12 radio/TV bad
## 259 15 car good
## 260 11 radio/TV good
## 261 12 furniture/equipment good
## 262 24 radio/TV good
## 263 18 car good
## 264 12 education good
## 265 10 car good
## 266 15 radio/TV bad
## 267 36 business good
## 268 24 radio/TV good
## 269 14 car bad
## 270 24 radio/TV good
## 271 18 car good
## 272 12 furniture/equipment good
## 273 48 car good
## 274 48 radio/TV bad
## 275 30 repairs bad
## 276 9 radio/TV good
## 277 18 radio/TV good
## 278 12 furniture/equipment good
## 279 6 furniture/equipment bad
## 280 24 radio/TV good
## 281 15 car good
## 282 12 furniture/equipment good
## 283 18 radio/TV good
## 284 15 furniture/equipment good
## 285 24 car good
## 286 47 car good
## 287 48 car good
## 288 48 vacation/others good
## 289 12 radio/TV good
## 290 24 radio/TV bad
## 291 12 business good
## 292 36 car bad
## 293 24 car good
## 294 42 car good
## 295 48 business good
## 296 48 furniture/equipment bad
## 297 12 car good
## 298 10 car good
## 299 18 furniture/equipment good
## 300 21 furniture/equipment good
## 301 6 car good
## 302 36 radio/TV bad
## 303 24 car bad
## 304 10 car good
## 305 48 car bad
## 306 6 furniture/equipment good
## 307 30 car good
## 308 12 radio/TV bad
## 309 8 furniture/equipment bad
## 310 9 car good
## 311 48 vacation/others good
## 312 24 furniture/equipment good
## 313 24 furniture/equipment good
## 314 12 car bad
## 315 4 car good
## 316 36 furniture/equipment bad
## 317 12 furniture/equipment good
## 318 24 furniture/equipment good
## 319 12 education good
## 320 15 furniture/equipment good
## 321 30 car bad
## 322 24 radio/TV bad
## 323 24 car good
## 324 18 furniture/equipment good
## 325 18 car good
## 326 8 car good
## 327 12 furniture/equipment good
## 328 24 car good
## 329 36 radio/TV good
## 330 6 radio/TV good
## 331 24 car good
## 332 18 education bad
## 333 60 car bad
## 334 48 car bad
## 335 24 furniture/equipment bad
## 336 6 furniture/equipment bad
## 337 13 radio/TV good
## 338 15 domestic appliances bad
## 339 24 furniture/equipment good
## 340 10 furniture/equipment good
## 341 24 education good
## 342 21 furniture/equipment good
## 343 18 radio/TV good
## 344 18 business good
## 345 10 car good
## 346 15 radio/TV good
## 347 13 radio/TV good
## 348 24 radio/TV good
## 349 6 business good
## 350 9 education bad
## 351 9 domestic appliances good
## 352 9 furniture/equipment bad
## 353 18 car good
## 354 12 radio/TV bad
## 355 10 education good
## 356 24 car bad
## 357 12 radio/TV good
## 358 36 radio/TV bad
## 359 12 radio/TV good
## 360 30 furniture/equipment bad
## 361 18 education good
## 362 12 radio/TV good
## 363 12 car good
## 364 6 furniture/equipment good
## 365 18 furniture/equipment bad
## 366 12 business good
## 367 18 car good
## 368 18 furniture/equipment good
## 369 36 furniture/equipment bad
## 370 18 furniture/equipment good
## 371 36 car good
## 372 18 radio/TV good
## 373 10 furniture/equipment good
## 374 60 car good
## 375 60 vacation/others bad
## 376 48 business bad
## 377 18 radio/TV good
## 378 7 radio/TV good
## 379 36 car bad
## 380 6 car good
## 381 20 furniture/equipment good
## 382 18 car bad
## 383 22 car good
## 384 12 car good
## 385 30 business good
## 386 18 radio/TV good
## 387 18 radio/TV good
## 388 18 furniture/equipment good
## 389 15 business good
## 390 9 business good
## 391 18 car good
## 392 12 furniture/equipment good
## 393 36 car good
## 394 6 radio/TV good
## 395 9 furniture/equipment good
## 396 39 education good
## 397 12 furniture/equipment good
## 398 36 furniture/equipment good
## 399 12 car bad
## 400 24 radio/TV good
## 401 18 radio/TV good
## 402 18 business good
## 403 24 business bad
## 404 14 car good
## 405 18 car good
## 406 24 radio/TV bad
## 407 24 car good
## 408 15 radio/TV good
## 409 24 radio/TV good
## 410 12 car bad
## 411 24 radio/TV good
## 412 33 car good
## 413 12 business bad
## 414 10 car good
## 415 24 car bad
## 416 36 car good
## 417 12 car bad
## 418 18 education good
## 419 21 car good
## 420 18 car bad
## 421 15 car good
## 422 12 car good
## 423 12 car good
## 424 21 furniture/equipment good
## 425 12 furniture/equipment bad
## 426 18 car good
## 427 28 radio/TV good
## 428 18 radio/TV good
## 429 9 furniture/equipment good
## 430 18 repairs bad
## 431 5 business good
## 432 24 vacation/others bad
## 433 6 furniture/equipment good
## 434 24 repairs good
## 435 9 furniture/equipment good
## 436 12 radio/TV bad
## 437 6 repairs good
## 438 24 car good
## 439 42 repairs good
## 440 12 business bad
## 441 12 car good
## 442 12 furniture/equipment good
## 443 20 vacation/others good
## 444 12 education bad
## 445 48 furniture/equipment bad
## 446 9 education good
## 447 36 car bad
## 448 7 radio/TV good
## 449 12 furniture/equipment good
## 450 15 repairs bad
## 451 36 car good
## 452 6 radio/TV good
## 453 12 furniture/equipment good
## 454 24 car good
## 455 24 car bad
## 456 24 car good
## 457 11 car good
## 458 12 car bad
## 459 6 domestic appliances good
## 460 18 radio/TV good
## 461 36 furniture/equipment good
## 462 15 car good
## 463 12 furniture/equipment good
## 464 12 education good
## 465 18 business good
## 466 24 car good
## 467 24 radio/TV bad
## 468 48 radio/TV good
## 469 33 business good
## 470 24 car good
## 471 24 radio/TV bad
## 472 6 education bad
## 473 9 car bad
## 474 6 education good
## 475 18 radio/TV bad
## 476 18 furniture/equipment bad
## 477 39 car good
## 478 24 radio/TV good
## 479 12 business good
## 480 15 furniture/equipment good
## 481 12 radio/TV good
## 482 24 car good
## 483 30 furniture/equipment good
## 484 15 furniture/equipment good
## 485 12 car good
## 486 6 car bad
## 487 12 radio/TV good
## 488 24 car good
## 489 10 car good
## 490 6 car good
## 491 12 radio/TV good
## 492 27 business bad
## 493 6 radio/TV good
## 494 6 radio/TV good
## 495 12 car good
## 496 24 furniture/equipment bad
## 497 36 furniture/equipment bad
## 498 24 furniture/equipment good
## 499 18 radio/TV good
## 500 6 car good
## 501 24 car bad
## 502 36 car good
## 503 9 radio/TV good
## 504 24 radio/TV bad
## 505 24 car bad
## 506 10 car bad
## 507 15 car good
## 508 15 car bad
## 509 24 radio/TV good
## 510 39 car good
## 511 12 car bad
## 512 36 car good
## 513 15 business good
## 514 12 radio/TV good
## 515 24 car good
## 516 6 car good
## 517 6 car good
## 518 36 furniture/equipment bad
## 519 6 car good
## 520 6 radio/TV good
## 521 24 repairs good
## 522 18 radio/TV bad
## 523 48 furniture/equipment bad
## 524 24 car good
## 525 18 radio/TV good
## 526 26 car good
## 527 15 education good
## 528 4 radio/TV good
## 529 36 radio/TV bad
## 530 6 car good
## 531 36 education good
## 532 15 car bad
## 533 12 car good
## 534 24 radio/TV good
## 535 24 radio/TV good
## 536 21 education bad
## 537 6 car good
## 538 18 furniture/equipment good
## 539 48 car bad
## 540 18 furniture/equipment good
## 541 12 radio/TV bad
## 542 24 car good
## 543 30 furniture/equipment bad
## 544 18 furniture/equipment bad
## 545 12 car good
## 546 24 car bad
## 547 24 car good
## 548 24 radio/TV good
## 549 12 radio/TV bad
## 550 48 car good
## 551 12 repairs good
## 552 6 radio/TV good
## 553 48 radio/TV bad
## 554 12 car good
## 555 9 education good
## 556 12 radio/TV bad
## 557 18 car bad
## 558 21 car bad
## 559 24 furniture/equipment bad
## 560 18 furniture/equipment bad
## 561 24 car good
## 562 24 radio/TV bad
## 563 6 radio/TV good
## 564 36 car bad
## 565 24 business good
## 566 24 radio/TV good
## 567 12 car bad
## 568 24 radio/TV good
## 569 48 radio/TV good
## 570 48 radio/TV bad
## 571 24 furniture/equipment bad
## 572 30 radio/TV good
## 573 24 car good
## 574 15 business good
## 575 9 radio/TV good
## 576 15 furniture/equipment good
## 577 12 radio/TV good
## 578 24 education good
## 579 36 car bad
## 580 24 education good
## 581 18 car bad
## 582 12 car good
## 583 9 furniture/equipment good
## 584 36 repairs bad
## 585 12 car good
## 586 18 furniture/equipment bad
## 587 9 car good
## 588 12 furniture/equipment good
## 589 18 domestic appliances bad
## 590 12 furniture/equipment bad
## 591 12 radio/TV good
## 592 24 car good
## 593 21 business good
## 594 24 car bad
## 595 24 vacation/others bad
## 596 6 car bad
## 597 24 car bad
## 598 24 business bad
## 599 18 car bad
## 600 24 business good
## 601 7 radio/TV good
## 602 9 furniture/equipment bad
## 603 24 education bad
## 604 36 furniture/equipment bad
## 605 10 furniture/equipment good
## 606 24 furniture/equipment good
## 607 24 business good
## 608 36 radio/TV bad
## 609 18 radio/TV good
## 610 15 car good
## 611 12 domestic appliances bad
## 612 10 car bad
## 613 21 radio/TV good
## 614 24 car good
## 615 18 furniture/equipment bad
## 616 48 business good
## 617 60 radio/TV good
## 618 6 car good
## 619 30 furniture/equipment bad
## 620 12 car good
## 621 21 business good
## 622 18 car bad
## 623 48 business bad
## 624 12 furniture/equipment good
## 625 18 radio/TV bad
## 626 15 radio/TV good
## 627 6 furniture/equipment good
## 628 9 car bad
## 629 42 furniture/equipment good
## 630 9 education good
## 631 24 radio/TV good
## 632 18 furniture/equipment bad
## 633 15 radio/TV good
## 634 9 furniture/equipment bad
## 635 24 car bad
## 636 12 education good
## 637 24 radio/TV good
## 638 60 radio/TV good
## 639 12 radio/TV good
## 640 42 radio/TV bad
## 641 18 education bad
## 642 15 repairs good
## 643 15 education bad
## 644 24 radio/TV good
## 645 18 radio/TV good
## 646 36 business bad
## 647 30 furniture/equipment good
## 648 12 car bad
## 649 24 car bad
## 650 12 education bad
## 651 48 education good
## 652 12 furniture/equipment bad
## 653 24 car bad
## 654 36 car bad
## 655 24 car good
## 656 14 car good
## 657 12 car bad
## 658 48 radio/TV good
## 659 30 business good
## 660 18 furniture/equipment good
## 661 12 radio/TV good
## 662 12 car bad
## 663 21 furniture/equipment good
## 664 6 furniture/equipment good
## 665 6 education good
## 666 24 vacation/others good
## 667 30 furniture/equipment good
## 668 48 business good
## 669 12 car bad
## 670 30 radio/TV good
## 671 24 business good
## 672 36 business good
## 673 60 car good
## 674 6 car good
## 675 21 business bad
## 676 30 radio/TV good
## 677 24 furniture/equipment good
## 678 72 radio/TV bad
## 679 24 radio/TV good
## 680 18 radio/TV good
## 681 6 education good
## 682 12 radio/TV good
## 683 15 radio/TV good
## 684 24 radio/TV good
## 685 36 business good
## 686 60 car good
## 687 10 radio/TV good
## 688 36 car good
## 689 9 radio/TV good
## 690 12 car good
## 691 15 furniture/equipment good
## 692 15 repairs good
## 693 24 radio/TV good
## 694 6 car good
## 695 24 radio/TV good
## 696 6 car good
## 697 12 radio/TV good
## 698 12 car good
## 699 18 radio/TV good
## 700 15 education good
## 701 12 furniture/equipment bad
## 702 48 car bad
## 703 24 radio/TV good
## 704 30 business good
## 705 27 business good
## 706 15 car good
## 707 48 car bad
## 708 12 furniture/equipment bad
## 709 9 radio/TV good
## 710 9 radio/TV good
## 711 18 radio/TV good
## 712 6 education bad
## 713 21 car good
## 714 9 radio/TV good
## 715 60 car bad
## 716 30 car good
## 717 30 radio/TV good
## 718 18 radio/TV good
## 719 24 radio/TV good
## 720 20 car good
## 721 9 radio/TV bad
## 722 6 education bad
## 723 12 car bad
## 724 9 radio/TV good
## 725 27 car bad
## 726 6 car good
## 727 15 radio/TV good
## 728 18 radio/TV bad
## 729 48 business bad
## 730 24 business good
## 731 24 radio/TV good
## 732 24 radio/TV bad
## 733 8 radio/TV good
## 734 24 car good
## 735 4 car good
## 736 36 domestic appliances good
## 737 24 car bad
## 738 18 car good
## 739 6 car good
## 740 30 business bad
## 741 24 car good
## 742 10 radio/TV good
## 743 21 radio/TV good
## 744 24 furniture/equipment good
## 745 39 furniture/equipment good
## 746 13 business good
## 747 15 car good
## 748 12 car bad
## 749 21 car good
## 750 15 car good
## 751 6 furniture/equipment good
## 752 18 car bad
## 753 12 business good
## 754 30 radio/TV good
## 755 12 repairs bad
## 756 24 car bad
## 757 6 car good
## 758 15 radio/TV bad
## 759 24 car good
## 760 12 car bad
## 761 15 car good
## 762 18 furniture/equipment bad
## 763 12 radio/TV good
## 764 21 car bad
## 765 24 car good
## 766 12 radio/TV good
## 767 30 furniture/equipment bad
## 768 10 car good
## 769 12 furniture/equipment good
## 770 12 radio/TV good
## 771 24 car good
## 772 36 education bad
## 773 21 car good
## 774 24 radio/TV good
## 775 12 car good
## 776 24 car bad
## 777 36 car good
## 778 18 radio/TV good
## 779 36 car good
## 780 18 repairs good
## 781 39 radio/TV bad
## 782 24 car good
## 783 12 education good
## 784 12 car bad
## 785 20 car good
## 786 18 business good
## 787 22 radio/TV good
## 788 48 car good
## 789 48 education bad
## 790 40 education bad
## 791 21 business bad
## 792 24 car good
## 793 6 furniture/equipment good
## 794 24 furniture/equipment good
## 795 24 furniture/equipment good
## 796 9 furniture/equipment good
## 797 18 car bad
## 798 12 furniture/equipment good
## 799 24 car good
## 800 9 car good
## 801 24 education good
## 802 18 radio/TV good
## 803 20 furniture/equipment good
## 804 12 radio/TV good
## 805 12 car good
## 806 36 car bad
## 807 6 radio/TV good
## 808 12 radio/TV good
## 809 42 car good
## 810 15 car bad
## 811 8 business good
## 812 6 radio/TV good
## 813 36 car bad
## 814 48 domestic appliances bad
## 815 48 car bad
## 816 36 car good
## 817 6 domestic appliances good
## 818 6 radio/TV good
## 819 36 vacation/others good
## 820 18 radio/TV bad
## 821 12 car good
## 822 12 radio/TV good
## 823 36 furniture/equipment bad
## 824 8 car good
## 825 18 furniture/equipment good
## 826 21 car good
## 827 18 car bad
## 828 18 business bad
## 829 36 car bad
## 830 48 business good
## 831 24 business good
## 832 18 car bad
## 833 45 business bad
## 834 24 radio/TV good
## 835 15 radio/TV bad
## 836 12 car bad
## 837 12 radio/TV good
## 838 4 furniture/equipment good
## 839 24 car good
## 840 24 radio/TV good
## 841 36 furniture/equipment bad
## 842 21 car good
## 843 18 repairs bad
## 844 24 business good
## 845 18 furniture/equipment good
## 846 21 furniture/equipment good
## 847 18 car bad
## 848 24 car good
## 849 9 radio/TV good
## 850 12 radio/TV bad
## 851 20 car bad
## 852 24 car good
## 853 15 radio/TV good
## 854 18 car bad
## 855 36 car good
## 856 24 car good
## 857 10 education good
## 858 15 furniture/equipment good
## 859 15 car bad
## 860 9 car good
## 861 24 car good
## 862 18 business bad
## 863 24 radio/TV bad
## 864 27 furniture/equipment good
## 865 10 furniture/equipment bad
## 866 15 furniture/equipment good
## 867 18 radio/TV good
## 868 12 furniture/equipment good
## 869 36 business good
## 870 12 furniture/equipment good
## 871 36 furniture/equipment good
## 872 6 car good
## 873 24 business good
## 874 15 domestic appliances good
## 875 12 furniture/equipment good
## 876 11 car good
## 877 18 radio/TV good
## 878 36 radio/TV good
## 879 9 car bad
## 880 30 radio/TV good
## 881 24 car good
## 882 24 car good
## 883 30 car good
## 884 18 radio/TV good
## 885 24 furniture/equipment bad
## 886 12 education bad
## 887 24 business good
## 888 48 business bad
## 889 36 car good
## 890 28 car good
## 891 27 business good
## 892 15 radio/TV good
## 893 12 car good
## 894 36 car good
## 895 18 radio/TV good
## 896 36 car good
## 897 21 radio/TV good
## 898 12 furniture/equipment good
## 899 15 furniture/equipment good
## 900 18 furniture/equipment bad
## 901 16 car bad
## 902 20 car good
## 903 36 car good
## 904 15 radio/TV good
## 905 24 radio/TV good
## 906 12 radio/TV good
## 907 21 car good
## 908 36 education good
## 909 15 car good
## 910 9 car good
## 911 36 radio/TV good
## 912 24 furniture/equipment bad
## 913 30 radio/TV good
## 914 11 business good
## 915 24 business bad
## 916 48 vacation/others bad
## 917 10 car good
## 918 6 car bad
## 919 24 furniture/equipment bad
## 920 24 furniture/equipment bad
## 921 18 furniture/equipment good
## 922 48 radio/TV good
## 923 9 radio/TV bad
## 924 12 car good
## 925 24 furniture/equipment bad
## 926 12 car bad
## 927 18 furniture/equipment good
## 928 48 car bad
## 929 30 radio/TV good
## 930 12 car good
## 931 24 furniture/equipment good
## 932 9 radio/TV bad
## 933 9 car good
## 934 12 radio/TV good
## 935 12 radio/TV good
## 936 30 radio/TV bad
## 937 9 radio/TV bad
## 938 6 radio/TV good
## 939 60 education bad
## 940 24 car good
## 941 12 car good
## 942 10 car good
## 943 24 furniture/equipment good
## 944 4 car good
## 945 15 furniture/equipment good
## 946 48 car good
## 947 24 furniture/equipment bad
## 948 12 car good
## 949 18 furniture/equipment bad
## 950 24 radio/TV bad
## 951 18 business good
## 952 36 business bad
## 953 24 car bad
## 954 36 furniture/equipment bad
## 955 12 car good
## 956 24 radio/TV good
## 957 30 radio/TV good
## 958 9 radio/TV good
## 959 28 car bad
## 960 24 furniture/equipment good
## 961 6 radio/TV good
## 962 21 car good
## 963 15 car good
## 964 24 radio/TV bad
## 965 6 repairs good
## 966 30 radio/TV good
## 967 27 radio/TV bad
## 968 15 radio/TV good
## 969 42 radio/TV good
## 970 11 car good
## 971 15 repairs good
## 972 24 car good
## 973 24 car bad
## 974 60 business bad
## 975 30 radio/TV good
## 976 24 radio/TV good
## 977 6 radio/TV good
## 978 18 business good
## 979 24 car bad
## 980 15 car bad
## 981 30 furniture/equipment bad
## 982 48 business bad
## 983 21 car good
## 984 36 car bad
## 985 24 furniture/equipment good
## 986 15 furniture/equipment good
## 987 42 business good
## 988 13 radio/TV good
## 989 24 car good
## 990 24 radio/TV good
## 991 12 education good
## 992 15 radio/TV good
## 993 18 radio/TV good
## 994 36 furniture/equipment good
## 995 12 car good
## 996 12 furniture/equipment good
## 997 30 car good
## 998 12 radio/TV good
## 999 45 radio/TV bad
## 1000 45 car good