library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionchicago <- readRDS("chicago.rds")You can see some basic characteristics of the dataset with the
dim() and str() function
dim (chicago)## [1] 6940 8str(chicago)## 'data.frame': 6940 obs. of 8 variables:
## $ city : chr "chic" "chic" "chic" "chic" ...
## $ tmpd : num 31.5 33 33 29 32 40 34.5 29 26.5 32.5 ...
## $ dptp : num 31.5 29.9 27.4 28.6 28.9 ...
## $ date : Date, format: "1987-01-01" "1987-01-02" ...
## $ pm25tmean2: num NA NA NA NA NA NA NA NA NA NA ...
## $ pm10tmean2: num 34 NA 34.2 47 NA ...
## $ o3tmean2 : num 4.25 3.3 3.33 4.38 4.75 ...
## $ no2tmean2 : num 20 23.2 23.8 30.4 30.3 ...glimpse(chicago)## Rows: 6,940
## Columns: 8
## $ city <chr> "chic", "chic", "chic", "chic", "chic", "chic", "chic", "ch…
## $ tmpd <dbl> 31.5, 33.0, 33.0, 29.0, 32.0, 40.0, 34.5, 29.0, 26.5, 32.5,…
## $ dptp <dbl> 31.500, 29.875, 27.375, 28.625, 28.875, 35.125, 26.750, 22.…
## $ date <date> 1987-01-01, 1987-01-02, 1987-01-03, 1987-01-04, 1987-01-05…
## $ pm25tmean2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ pm10tmean2 <dbl> 34.00000, NA, 34.16667, 47.00000, NA, 48.00000, 41.00000, 3…
## $ o3tmean2 <dbl> 4.250000, 3.304348, 3.333333, 4.375000, 4.750000, 5.833333,…
## $ no2tmean2 <dbl> 19.98810, 23.19099, 23.81548, 30.43452, 30.33333, 25.77233,…names (chicago) [1:3]## [1] "city" "tmpd" "dptp"select ()
subset <-select (chicago, city:dptp)
head (subset, 10)## city tmpd dptp
## 1 chic 31.5 31.500
## 2 chic 33.0 29.875
## 3 chic 33.0 27.375
## 4 chic 29.0 28.625
## 5 chic 32.0 28.875
## 6 chic 40.0 35.125
## 7 chic 34.5 26.750
## 8 chic 29.0 22.000
## 9 chic 26.5 29.000
## 10 chic 32.5 27.750tail(subset, 8)## city tmpd dptp
## 6933 chic 37 35.2
## 6934 chic 35 32.1
## 6935 chic 35 29.6
## 6936 chic 40 33.6
## 6937 chic 37 34.5
## 6938 chic 35 29.4
## 6939 chic 36 31.0
## 6940 chic 35 30.1head (select(chicago, -(city:dptp)),10) #all coloumns (since it is select) except city up to dptp## date pm25tmean2 pm10tmean2 o3tmean2 no2tmean2
## 1 1987-01-01 NA 34.00000 4.250000 19.98810
## 2 1987-01-02 NA NA 3.304348 23.19099
## 3 1987-01-03 NA 34.16667 3.333333 23.81548
## 4 1987-01-04 NA 47.00000 4.375000 30.43452
## 5 1987-01-05 NA NA 4.750000 30.33333
## 6 1987-01-06 NA 48.00000 5.833333 25.77233
## 7 1987-01-07 NA 41.00000 9.291667 20.58171
## 8 1987-01-08 NA 36.00000 11.291667 17.03723
## 9 1987-01-09 NA 33.28571 4.500000 23.38889
## 10 1987-01-10 NA NA 4.958333 19.54167i <- match ("city", names (chicago))
j <- match ("dptp", names (chicago))
head (chicago [, -(i:j)])## date pm25tmean2 pm10tmean2 o3tmean2 no2tmean2
## 1 1987-01-01 NA 34.00000 4.250000 19.98810
## 2 1987-01-02 NA NA 3.304348 23.19099
## 3 1987-01-03 NA 34.16667 3.333333 23.81548
## 4 1987-01-04 NA 47.00000 4.375000 30.43452
## 5 1987-01-05 NA NA 4.750000 30.33333
## 6 1987-01-06 NA 48.00000 5.833333 25.77233names (chicago) #columns## [1] "city" "tmpd" "dptp" "date" "pm25tmean2"
## [6] "pm10tmean2" "o3tmean2" "no2tmean2"subset_v2 <- select (chicago, ends_with("2"))
str(subset_v2)## 'data.frame': 6940 obs. of 4 variables:
## $ pm25tmean2: num NA NA NA NA NA NA NA NA NA NA ...
## $ pm10tmean2: num 34 NA 34.2 47 NA ...
## $ o3tmean2 : num 4.25 3.3 3.33 4.38 4.75 ...
## $ no2tmean2 : num 20 23.2 23.8 30.4 30.3 ...glimpse (subset_v2)## Rows: 6,940
## Columns: 4
## $ pm25tmean2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ pm10tmean2 <dbl> 34.00000, NA, 34.16667, 47.00000, NA, 48.00000, 41.00000, 3…
## $ o3tmean2 <dbl> 4.250000, 3.304348, 3.333333, 4.375000, 4.750000, 5.833333,…
## $ no2tmean2 <dbl> 19.98810, 23.19099, 23.81548, 30.43452, 30.33333, 25.77233,…subset_v3 <- select (chicago, starts_with("d")) ##select function!!
subset_v3## dptp date
## 1 31.50000 1987-01-01
## 2 29.87500 1987-01-02
## 3 27.37500 1987-01-03
## 4 28.62500 1987-01-04
## 5 28.87500 1987-01-05
## 6 35.12500 1987-01-06
## 7 26.75000 1987-01-07
## 8 22.00000 1987-01-08
## 9 29.00000 1987-01-09
## 10 27.75000 1987-01-10
## 11 20.12500 1987-01-11
## 12 26.00000 1987-01-12
## 13 32.25000 1987-01-13
## 14 36.37500 1987-01-14
## 15 24.25000 1987-01-15
## 16 21.50000 1987-01-16
## 17 24.75000 1987-01-17
## 18 11.12500 1987-01-18
## 19 15.75000 1987-01-19
## 20 11.50000 1987-01-20
## 21 20.62500 1987-01-21
## 22 7.37500 1987-01-22
## 23 -12.25000 1987-01-23
## 24 -5.62500 1987-01-24
## 25 -5.25000 1987-01-25
## 26 4.75000 1987-01-26
## 27 17.75000 1987-01-27
## 28 18.25000 1987-01-28
## 29 32.87500 1987-01-29
## 30 24.12500 1987-01-30
## 31 26.50000 1987-01-31
## 32 32.25000 1987-02-01
## 33 34.00000 1987-02-02
## 34 26.25000 1987-02-03
## 35 24.25000 1987-02-04
## 36 27.25000 1987-02-05
## 37 30.37500 1987-02-06
## 38 35.75000 1987-02-07
## 39 3.50000 1987-02-08
## 40 17.37500 1987-02-09
## 41 27.37500 1987-02-10
## 42 29.37500 1987-02-11
## 43 24.75000 1987-02-12
## 44 30.87500 1987-02-13
## 45 22.00000 1987-02-14
## 46 10.12500 1987-02-15
## 47 18.12500 1987-02-16
## 48 20.25000 1987-02-17
## 49 20.00000 1987-02-18
## 50 19.62500 1987-02-19
## 51 17.00000 1987-02-20
## 52 24.50000 1987-02-21
## 53 25.12500 1987-02-22
## 54 24.75000 1987-02-23
## 55 25.25000 1987-02-24
## 56 21.87500 1987-02-25
## 57 18.50000 1987-02-26
## 58 28.25000 1987-02-27
## 59 38.37500 1987-02-28
## 60 28.37500 1987-03-01
## 61 27.87500 1987-03-02
## 62 14.87500 1987-03-03
## 63 26.75000 1987-03-04
## 64 34.37500 1987-03-05
## 65 39.50000 1987-03-06
## 66 36.87500 1987-03-07
## 67 33.62500 1987-03-08
## 68 14.00000 1987-03-09
## 69 13.62500 1987-03-10
## 70 17.00000 1987-03-11
## 71 22.37500 1987-03-12
## 72 33.12500 1987-03-13
## 73 33.00000 1987-03-14
## 74 24.50000 1987-03-15
## 75 17.87500 1987-03-16
## 76 19.37500 1987-03-17
## 77 30.25000 1987-03-18
## 78 26.12500 1987-03-19
## 79 16.62500 1987-03-20
## 80 22.50000 1987-03-21
## 81 32.37500 1987-03-22
## 82 35.25000 1987-03-23
## 83 46.12500 1987-03-24
## 84 40.12500 1987-03-25
## 85 40.25000 1987-03-26
## 86 38.50000 1987-03-27
## 87 35.00000 1987-03-28
## 88 30.12500 1987-03-29
## 89 12.87500 1987-03-30
## 90 19.00000 1987-03-31
## 91 22.87500 1987-04-01
## 92 14.62500 1987-04-02
## 93 17.37500 1987-04-03
## 94 17.12500 1987-04-04
## 95 33.00000 1987-04-05
## 96 21.25000 1987-04-06
## 97 30.87500 1987-04-07
## 98 31.37500 1987-04-08
## 99 28.50000 1987-04-09
## 100 44.87500 1987-04-10
## 101 45.62500 1987-04-11
## 102 43.12500 1987-04-12
## 103 47.25000 1987-04-13
## 104 51.50000 1987-04-14
## 105 50.12500 1987-04-15
## 106 49.25000 1987-04-16
## 107 47.00000 1987-04-17
## 108 49.87500 1987-04-18
## 109 53.00000 1987-04-19
## 110 55.75000 1987-04-20
## 111 39.00000 1987-04-21
## 112 45.62500 1987-04-22
## 113 43.75000 1987-04-23
## 114 30.75000 1987-04-24
## 115 32.50000 1987-04-25
## 116 33.87500 1987-04-26
## 117 31.62500 1987-04-27
## 118 28.62500 1987-04-28
## 119 34.62500 1987-04-29
## 120 16.62500 1987-04-30
## 121 39.00000 1987-05-01
## 122 47.37500 1987-05-02
## 123 35.00000 1987-05-03
## 124 29.37500 1987-05-04
## 125 32.62500 1987-05-05
## 126 40.12500 1987-05-06
## 127 40.87500 1987-05-07
## 128 33.37500 1987-05-08
## 129 43.75000 1987-05-09
## 130 51.50000 1987-05-10
## 131 58.00000 1987-05-11
## 132 32.75000 1987-05-12
## 133 53.00000 1987-05-13
## 134 53.37500 1987-05-14
## 135 33.87500 1987-05-15
## 136 42.62500 1987-05-16
## 137 63.62500 1987-05-17
## 138 57.62500 1987-05-18
## 139 61.12500 1987-05-19
## 140 59.75000 1987-05-20
## 141 66.75000 1987-05-21
## 142 49.75000 1987-05-22
## 143 45.62500 1987-05-23
## 144 45.12500 1987-05-24
## 145 62.87500 1987-05-25
## 146 67.62500 1987-05-26
## 147 67.37500 1987-05-27
## 148 65.75000 1987-05-28
## 149 67.12500 1987-05-29
## 150 65.62500 1987-05-30
## 151 60.12500 1987-05-31
## 152 68.50000 1987-06-01
## 153 64.75000 1987-06-02
## 154 47.25000 1987-06-03
## 155 45.00000 1987-06-04
## 156 54.87500 1987-06-05
## 157 54.62500 1987-06-06
## 158 58.12500 1987-06-07
## 159 60.25000 1987-06-08
## 160 41.12500 1987-06-09
## 161 51.00000 1987-06-10
## 162 68.75000 1987-06-11
## 163 62.00000 1987-06-12
## 164 62.00000 1987-06-13
## 165 68.50000 1987-06-14
## 166 48.50000 1987-06-15
## 167 52.87500 1987-06-16
## 168 61.00000 1987-06-17
## 169 62.75000 1987-06-18
## 170 61.37500 1987-06-19
## 171 73.62500 1987-06-20
## 172 71.12500 1987-06-21
## 173 59.00000 1987-06-22
## 174 57.75000 1987-06-23
## 175 65.75000 1987-06-24
## 176 62.00000 1987-06-25
## 177 50.75000 1987-06-26
## 178 48.25000 1987-06-27
## 179 53.62500 1987-06-28
## 180 66.00000 1987-06-29
## 181 63.00000 1987-06-30
## 182 60.62500 1987-07-01
## 183 60.25000 1987-07-02
## 184 60.37500 1987-07-03
## 185 59.50000 1987-07-04
## 186 69.12500 1987-07-05
## 187 69.00000 1987-07-06
## 188 69.12500 1987-07-07
## 189 69.25000 1987-07-08
## 190 67.62500 1987-07-09
## 191 67.62500 1987-07-10
## 192 73.50000 1987-07-11
## 193 65.50000 1987-07-12
## 194 58.75000 1987-07-13
## 195 53.00000 1987-07-14
## 196 54.37500 1987-07-15
## 197 58.62500 1987-07-16
## 198 67.00000 1987-07-17
## 199 68.37500 1987-07-18
## 200 73.62500 1987-07-19
## 201 67.62500 1987-07-20
## 202 71.25000 1987-07-21
## 203 69.62500 1987-07-22
## 204 70.00000 1987-07-23
## 205 71.25000 1987-07-24
## 206 71.12500 1987-07-25
## 207 66.25000 1987-07-26
## 208 62.62500 1987-07-27
## 209 63.25000 1987-07-28
## 210 70.25000 1987-07-29
## 211 72.37500 1987-07-30
## 212 75.75000 1987-07-31
## 213 75.25000 1987-08-01
## 214 73.87500 1987-08-02
## 215 68.62500 1987-08-03
## 216 60.62500 1987-08-04
## 217 55.75000 1987-08-05
## 218 62.12500 1987-08-06
## 219 67.37500 1987-08-07
## 220 73.62500 1987-08-08
## 221 64.12500 1987-08-09
## 222 63.12500 1987-08-10
## 223 61.87500 1987-08-11
## 224 63.62500 1987-08-12
## 225 69.50000 1987-08-13
## 226 74.62500 1987-08-14
## 227 75.87500 1987-08-15
## 228 73.87500 1987-08-16
## 229 60.25000 1987-08-17
## 230 64.25000 1987-08-18
## 231 56.75000 1987-08-19
## 232 62.62500 1987-08-20
## 233 72.50000 1987-08-21
## 234 54.62500 1987-08-22
## 235 49.00000 1987-08-23
## 236 51.37500 1987-08-24
## 237 58.00000 1987-08-25
## 238 63.25000 1987-08-26
## 239 61.37500 1987-08-27
## 240 54.62500 1987-08-28
## 241 57.00000 1987-08-29
## 242 59.62500 1987-08-30
## 243 46.50000 1987-08-31
## 244 49.50000 1987-09-01
## 245 50.12500 1987-09-02
## 246 49.25000 1987-09-03
## 247 59.12500 1987-09-04
## 248 57.37500 1987-09-05
## 249 66.25000 1987-09-06
## 250 65.62500 1987-09-07
## 251 63.50000 1987-09-08
## 252 56.12500 1987-09-09
## 253 57.75000 1987-09-10
## 254 57.00000 1987-09-11
## 255 50.37500 1987-09-12
## 256 53.25000 1987-09-13
## 257 58.00000 1987-09-14
## 258 66.00000 1987-09-15
## 259 66.87500 1987-09-16
## 260 64.25000 1987-09-17
## 261 60.37500 1987-09-18
## 262 50.25000 1987-09-19
## 263 50.87500 1987-09-20
## 264 54.75000 1987-09-21
## 265 52.50000 1987-09-22
## 266 51.00000 1987-09-23
## 267 46.25000 1987-09-24
## 268 43.00000 1987-09-25
## 269 53.37500 1987-09-26
## 270 54.00000 1987-09-27
## 271 61.12500 1987-09-28
## 272 52.37500 1987-09-29
## 273 35.62500 1987-09-30
## 274 46.37500 1987-10-01
## 275 32.25000 1987-10-02
## 276 29.87500 1987-10-03
## 277 30.75000 1987-10-04
## 278 41.25000 1987-10-05
## 279 38.00000 1987-10-06
## 280 26.87500 1987-10-07
## 281 26.87500 1987-10-08
## 282 31.25000 1987-10-09
## 283 32.62500 1987-10-10
## 284 25.50000 1987-10-11
## 285 30.37500 1987-10-12
## 286 33.37500 1987-10-13
## 287 38.12500 1987-10-14
## 288 36.00000 1987-10-15
## 289 55.12500 1987-10-16
## 290 42.12500 1987-10-17
## 291 43.75000 1987-10-18
## 292 40.25000 1987-10-19
## 293 32.37500 1987-10-20
## 294 33.25000 1987-10-21
## 295 34.25000 1987-10-22
## 296 31.12500 1987-10-23
## 297 33.50000 1987-10-24
## 298 31.12500 1987-10-25
## 299 45.37500 1987-10-26
## 300 34.50000 1987-10-27
## 301 28.87500 1987-10-28
## 302 37.75000 1987-10-29
## 303 42.87500 1987-10-30
## 304 49.37500 1987-10-31
## 305 58.50000 1987-11-01
## 306 56.62500 1987-11-02
## 307 49.87500 1987-11-03
## 308 38.25000 1987-11-04
## 309 19.87500 1987-11-05
## 310 25.75000 1987-11-06
## 311 29.50000 1987-11-07
## 312 41.75000 1987-11-08
## 313 18.50000 1987-11-09
## 314 24.87500 1987-11-10
## 315 23.75000 1987-11-11
## 316 31.12500 1987-11-12
## 317 31.37500 1987-11-13
## 318 31.12500 1987-11-14
## 319 32.00000 1987-11-15
## 320 56.00000 1987-11-16
## 321 35.37500 1987-11-17
## 322 29.25000 1987-11-18
## 323 26.00000 1987-11-19
## 324 10.37500 1987-11-20
## 325 11.50000 1987-11-21
## 326 28.75000 1987-11-22
## 327 31.75000 1987-11-23
## 328 39.37500 1987-11-24
## 329 36.87500 1987-11-25
## 330 35.87500 1987-11-26
## 331 39.50000 1987-11-27
## 332 45.50000 1987-11-28
## 333 34.62500 1987-11-29
## 334 35.50000 1987-11-30
## 335 24.12500 1987-12-01
## 336 26.37500 1987-12-02
## 337 26.25000 1987-12-03
## 338 19.62500 1987-12-04
## 339 24.62500 1987-12-05
## 340 29.00000 1987-12-06
## 341 36.25000 1987-12-07
## 342 49.50000 1987-12-08
## 343 34.37500 1987-12-09
## 344 31.12500 1987-12-10
## 345 33.62500 1987-12-11
## 346 23.75000 1987-12-12
## 347 23.50000 1987-12-13
## 348 27.50000 1987-12-14
## 349 24.25000 1987-12-15
## 350 16.62500 1987-12-16
## 351 11.75000 1987-12-17
## 352 25.75000 1987-12-18
## 353 35.00000 1987-12-19
## 354 21.25000 1987-12-20
## 355 26.12500 1987-12-21
## 356 29.12500 1987-12-22
## 357 31.25000 1987-12-23
## 358 39.75000 1987-12-24
## 359 25.50000 1987-12-25
## 360 23.75000 1987-12-26
## 361 28.37500 1987-12-27
## 362 30.75000 1987-12-28
## 363 20.25000 1987-12-29
## 364 27.62500 1987-12-30
## 365 7.25000 1987-12-31
## 366 -3.62500 1988-01-01
## 367 15.37500 1988-01-02
## 368 16.75000 1988-01-03
## 369 -15.87500 1988-01-04
## 370 -15.75000 1988-01-05
## 371 -15.12500 1988-01-06
## 372 -1.87500 1988-01-07
## 373 2.75000 1988-01-08
## 374 -12.25000 1988-01-09
## 375 -1.62500 1988-01-10
## 376 22.25000 1988-01-11
## 377 15.50000 1988-01-12
## 378 -0.37500 1988-01-13
## 379 9.37500 1988-01-14
## 380 22.75000 1988-01-15
## 381 29.25000 1988-01-16
## 382 32.25000 1988-01-17
## 383 32.37500 1988-01-18
## 384 34.62500 1988-01-19
## 385 27.37500 1988-01-20
## 386 21.12500 1988-01-21
## 387 23.62500 1988-01-22
## 388 25.75000 1988-01-23
## 389 17.00000 1988-01-24
## 390 -2.75000 1988-01-25
## 391 -0.50000 1988-01-26
## 392 11.25000 1988-01-27
## 393 19.25000 1988-01-28
## 394 40.50000 1988-01-29
## 395 47.50000 1988-01-30
## 396 31.87500 1988-01-31
## 397 21.37500 1988-02-01
## 398 17.75000 1988-02-02
## 399 20.12500 1988-02-03
## 400 6.62500 1988-02-04
## 401 -10.75000 1988-02-05
## 402 -3.12500 1988-02-06
## 403 8.37500 1988-02-07
## 404 16.25000 1988-02-08
## 405 7.12500 1988-02-09
## 406 17.62500 1988-02-10
## 407 9.00000 1988-02-11
## 408 0.25000 1988-02-12
## 409 3.50000 1988-02-13
## 410 38.62500 1988-02-14
## 411 11.87500 1988-02-15
## 412 27.12500 1988-02-16
## 413 23.12500 1988-02-17
## 414 27.00000 1988-02-18
## 415 29.37500 1988-02-19
## 416 -2.62500 1988-02-20
## 417 20.12500 1988-02-21
## 418 29.00000 1988-02-22
## 419 13.00000 1988-02-23
## 420 7.87500 1988-02-24
## 421 9.75000 1988-02-25
## 422 29.62500 1988-02-26
## 423 22.75000 1988-02-27
## 424 31.62500 1988-02-28
## 425 26.37500 1988-02-29
## 426 29.37500 1988-03-01
## 427 24.37500 1988-03-02
## 428 17.00000 1988-03-03
## 429 16.25000 1988-03-04
## 430 19.25000 1988-03-05
## 431 32.50000 1988-03-06
## 432 40.00000 1988-03-07
## 433 42.75000 1988-03-08
## 434 27.62500 1988-03-09
## 435 21.37500 1988-03-10
## 436 35.12500 1988-03-11
## 437 28.25000 1988-03-12
## 438 17.62500 1988-03-13
## 439 17.50000 1988-03-14
## 440 19.50000 1988-03-15
## 441 23.50000 1988-03-16
## 442 26.00000 1988-03-17
## 443 17.37500 1988-03-18
## 444 29.50000 1988-03-19
## 445 15.00000 1988-03-20
## 446 15.75000 1988-03-21
## 447 35.00000 1988-03-22
## 448 36.25000 1988-03-23
## 449 54.75000 1988-03-24
## 450 35.50000 1988-03-25
## 451 18.50000 1988-03-26
## 452 28.25000 1988-03-27
## 453 42.62500 1988-03-28
## 454 35.75000 1988-03-29
## 455 27.25000 1988-03-30
## 456 32.00000 1988-03-31
## 457 34.25000 1988-04-01
## 458 56.62500 1988-04-02
## 459 44.12500 1988-04-03
## 460 51.62500 1988-04-04
## 461 57.50000 1988-04-05
## 462 28.75000 1988-04-06
## 463 25.25000 1988-04-07
## 464 28.75000 1988-04-08
## 465 37.75000 1988-04-09
## 466 33.75000 1988-04-10
## 467 22.87500 1988-04-11
## 468 23.25000 1988-04-12
## 469 38.50000 1988-04-13
## 470 28.87500 1988-04-14
## 471 25.50000 1988-04-15
## 472 27.50000 1988-04-16
## 473 37.87500 1988-04-17
## 474 17.87500 1988-04-18
## 475 14.75000 1988-04-19
## 476 35.25000 1988-04-20
## 477 28.75000 1988-04-21
## 478 30.37500 1988-04-22
## 479 34.37500 1988-04-23
## 480 30.12500 1988-04-24
## 481 36.37500 1988-04-25
## 482 35.87500 1988-04-26
## 483 34.62500 1988-04-27
## 484 28.37500 1988-04-28
## 485 25.37500 1988-04-29
## 486 26.50000 1988-04-30
## 487 29.62500 1988-05-01
## 488 27.75000 1988-05-02
## 489 39.12500 1988-05-03
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## 6940 30.10000 2005-12-31glimpse (subset_v3)## Rows: 6,940
## Columns: 2
## $ dptp <dbl> 31.500, 29.875, 27.375, 28.625, 28.875, 35.125, 26.750, 22.000, 2…
## $ date <date> 1987-01-01, 1987-01-02, 1987-01-03, 1987-01-04, 1987-01-05, 1987…filter ()
chic.f <- filter (chicago, pm25tmean2 >30) #filtering rows, parang sa sql yung WHERE... (dataset,column>=25 or anycondition)
glimpse (chic.f)## Rows: 194
## Columns: 8
## $ city <chr> "chic", "chic", "chic", "chic", "chic", "chic", "chic", "ch…
## $ tmpd <dbl> 23, 28, 55, 59, 57, 57, 75, 61, 73, 78, 79, 78, 77, 81, 81,…
## $ dptp <dbl> 21.9, 25.8, 51.3, 53.7, 52.0, 56.0, 65.8, 59.0, 60.3, 67.1,…
## $ date <date> 1998-01-17, 1998-01-23, 1998-04-30, 1998-05-01, 1998-05-02…
## $ pm25tmean2 <dbl> 38.10, 33.95, 39.40, 35.40, 33.30, 32.10, 56.50, 33.80, 30.…
## $ pm10tmean2 <dbl> 32.46154, 38.69231, 34.00000, 28.50000, 35.00000, 34.50000,…
## $ o3tmean2 <dbl> 3.180556, 1.750000, 10.786232, 14.295125, 20.662879, 24.270…
## $ no2tmean2 <dbl> 25.30000, 29.37630, 25.31310, 31.42905, 26.79861, 33.99167,…summary (chic.f$pm25tmean2)#statistic of the dataset, specific only on the said column## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 30.05 32.12 35.04 36.63 39.53 61.50chic.f_v2 <- filter (chicago, pm25tmean2 >30 & tmpd >80) # &yung conjunction using ANDselect(chic.f_v2, date, tmpd,pm25tmean2)## date tmpd pm25tmean2
## 1 1998-08-23 81 39.60000
## 2 1998-09-06 81 31.50000
## 3 2001-07-20 82 32.30000
## 4 2001-08-01 84 43.70000
## 5 2001-08-08 85 38.83750
## 6 2001-08-09 84 38.20000
## 7 2002-06-20 82 33.00000
## 8 2002-06-23 82 42.50000
## 9 2002-07-08 81 33.10000
## 10 2002-07-18 82 38.85000
## 11 2003-06-25 82 33.90000
## 12 2003-07-04 84 32.90000
## 13 2005-06-24 86 31.85714
## 14 2005-06-27 82 51.53750
## 15 2005-06-28 85 31.20000
## 16 2005-07-17 84 32.70000
## 17 2005-08-03 84 37.90000summary (chic.f_v2)## city tmpd dptp date
## Length:17 Min. :81 Min. :63.40 Min. :1998-08-23
## Class :character 1st Qu.:82 1st Qu.:65.10 1st Qu.:2001-08-08
## Mode :character Median :82 Median :68.40 Median :2002-07-08
## Mean :83 Mean :68.29 Mean :2002-11-02
## 3rd Qu.:84 3rd Qu.:71.20 3rd Qu.:2005-06-24
## Max. :86 Max. :72.90 Max. :2005-08-03
## pm25tmean2 pm10tmean2 o3tmean2 no2tmean2
## Min. :31.20 Min. :42.50 Min. :33.00 Min. :14.33
## 1st Qu.:32.70 1st Qu.:58.50 1st Qu.:44.64 1st Qu.:22.95
## Median :33.90 Median :65.00 Median :45.66 Median :26.47
## Mean :36.68 Mean :64.59 Mean :46.14 Mean :25.14
## 3rd Qu.:38.85 3rd Qu.:72.50 3rd Qu.:50.66 3rd Qu.:27.68
## Max. :51.54 Max. :81.50 Max. :56.14 Max. :33.67chic.f_v3 <- filter (chicago, pm25tmean2 >30 | tmpd >80) # | -> or any of the two, one condition is TRUE accept, condiktionals math 10
summary (chic.f_v3)## city tmpd dptp date
## Length:379 Min. : 5.00 Min. :-3.20 Min. :1987-06-14
## Class :character 1st Qu.:57.00 1st Qu.:51.85 1st Qu.:1995-07-12
## Mode :character Median :81.00 Median :65.38 Median :1999-10-09
## Mean :68.85 Mean :57.72 Mean :1998-07-02
## 3rd Qu.:83.00 3rd Qu.:70.28 3rd Qu.:2002-07-27
## Max. :92.00 Max. :77.10 Max. :2005-12-24
## NA's :1
## pm25tmean2 pm10tmean2 o3tmean2 no2tmean2
## Min. :12.84 Min. : 12.00 Min. : 0.5556 Min. :10.23
## 1st Qu.:30.64 1st Qu.: 40.00 1st Qu.:14.4611 1st Qu.:22.63
## Median :33.60 Median : 50.50 Median :33.2917 Median :27.44
## Mean :34.15 Mean : 53.45 Mean :29.9989 Mean :27.98
## 3rd Qu.:38.85 3rd Qu.: 63.00 3rd Qu.:42.1617 3rd Qu.:32.65
## Max. :61.50 Max. :131.00 Max. :62.9697 Max. :62.48
## NA's :145 NA's :6select (chic.f_v3, pm25tmean2, tmpd ) #any of the conditions kasi dai## pm25tmean2 tmpd
## 1 NA 83.0
## 2 NA 80.5
## 3 NA 80.5
## 4 NA 80.5
## 5 NA 84.5
## 6 NA 81.5
## 7 NA 81.0
## 8 NA 80.5
## 9 NA 82.0
## 10 NA 83.0
## 11 NA 84.5
## 12 NA 80.5
## 13 NA 87.0
## 14 NA 86.0
## 15 NA 83.0
## 16 NA 82.0
## 17 NA 81.5
## 18 NA 82.0
## 19 NA 88.5
## 20 NA 86.5
## 21 NA 82.5
## 22 NA 84.5
## 23 NA 82.5
## 24 NA 85.0
## 25 NA 83.0
## 26 NA 82.5
## 27 NA 87.0
## 28 NA 86.5
## 29 NA 85.0
## 30 NA 84.0
## 31 NA 83.0
## 32 NA 82.5
## 33 NA 89.0
## 34 NA 89.5
## 35 NA 88.0
## 36 NA 87.0
## 37 NA 84.0
## 38 NA 82.0
## 39 NA 83.5
## 40 NA 83.5
## 41 NA 83.0
## 42 NA 84.0
## 43 NA 86.0
## 44 NA 88.0
## 45 NA 80.5
## 46 NA 83.0
## 47 NA 86.5
## 48 NA 82.5
## 49 NA 81.0
## 50 NA 81.5
## 51 NA 86.5
## 52 NA 83.5
## 53 NA 81.0
## 54 NA 80.5
## 55 NA 82.5
## 56 NA 82.5
## 57 NA 83.0
## 58 NA 80.5
## 59 NA 83.0
## 60 NA 81.5
## 61 NA 84.0
## 62 NA 81.0
## 63 NA 82.0
## 64 NA 81.0
## 65 NA 83.0
## 66 NA 85.5
## 67 NA 85.0
## 68 NA 83.0
## 69 NA 88.0
## 70 NA 83.5
## 71 NA 81.0
## 72 NA 81.0
## 73 NA 81.5
## 74 NA 82.5
## 75 NA 82.0
## 76 NA 81.5
## 77 NA 81.5
## 78 NA 81.0
## 79 NA 81.0
## 80 NA 84.0
## 81 NA 81.5
## 82 NA 86.0
## 83 NA 84.0
## 84 NA 81.5
## 85 NA 82.0
## 86 NA 82.0
## 87 NA 85.5
## 88 NA 82.5
## 89 NA 81.0
## 90 NA 81.0
## 91 NA 80.5
## 92 NA 82.0
## 93 NA 82.5
## 94 NA 85.0
## 95 NA 84.5
## 96 NA 92.0
## 97 NA 91.5
## 98 NA 86.0
## 99 NA 83.0
## 100 NA 81.5
## 101 NA 80.5
## 102 NA 80.5
## 103 NA 82.5
## 104 NA 83.5
## 105 NA 84.5
## 106 NA 82.0
## 107 NA 86.5
## 108 NA 87.0
## 109 NA 87.0
## 110 NA 84.0
## 111 NA 81.5
## 112 NA 81.0
## 113 NA 81.0
## 114 NA 81.0
## 115 NA 83.0
## 116 NA 81.0
## 117 NA 81.0
## 118 NA 83.0
## 119 NA 83.0
## 120 NA 82.0
## 121 NA 83.0
## 122 NA 81.5
## 123 NA 82.5
## 124 NA 84.0
## 125 NA 82.5
## 126 NA 83.0
## 127 NA 82.5
## 128 NA 84.0
## 129 NA 85.5
## 130 NA 81.5
## 131 NA 81.5
## 132 38.10000 23.0
## 133 33.95000 28.0
## 134 39.40000 55.0
## 135 35.40000 59.0
## 136 33.30000 57.0
## 137 32.10000 57.0
## 138 56.50000 75.0
## 139 33.80000 61.0
## 140 25.40000 83.0
## 141 21.30000 83.0
## 142 21.40000 82.0
## 143 30.30000 73.0
## 144 41.40000 78.0
## 145 32.60000 79.0
## 146 NA 81.0
## 147 NA 85.0
## 148 36.40000 78.0
## 149 32.50000 77.0
## 150 39.60000 81.0
## 151 31.50000 81.0
## 152 33.70000 72.0
## 153 30.30000 76.0
## 154 31.60000 66.0
## 155 32.50000 65.0
## 156 30.90000 56.0
## 157 32.20000 67.0
## 158 36.10000 63.0
## 159 41.00000 61.0
## 160 33.70000 37.0
## 161 36.50000 43.0
## 162 31.70000 63.0
## 163 31.60000 61.0
## 164 31.92857 34.0
## 165 32.50000 36.0
## 166 39.90000 27.0
## 167 48.10000 36.0
## 168 45.60000 60.0
## 169 34.70000 66.0
## 170 32.40000 70.0
## 171 NA 81.0
## 172 32.78333 78.0
## 173 36.00000 75.0
## 174 49.04286 76.0
## 175 NA 84.0
## 176 NA 86.0
## 177 24.50000 87.0
## 178 NA 82.0
## 179 NA 83.0
## 180 NA 82.0
## 181 18.78571 83.0
## 182 NA 82.0
## 183 NA 85.0
## 184 NA 82.0
## 185 22.61667 83.0
## 186 NA 90.0
## 187 NA 83.0
## 188 39.54000 80.0
## 189 44.95714 76.0
## 190 34.85714 59.0
## 191 30.60000 48.0
## 192 31.80000 5.0
## 193 30.61429 21.0
## 194 32.10000 28.0
## 195 32.42500 20.0
## 196 31.70000 21.0
## 197 34.30000 23.0
## 198 30.60000 22.0
## 199 37.25000 41.0
## 200 40.40000 35.0
## 201 30.26250 39.0
## 202 34.46250 51.0
## 203 39.80000 50.0
## 204 40.30000 51.0
## 205 46.70000 52.0
## 206 40.30000 61.0
## 207 25.50000 81.0
## 208 33.00000 77.0
## 209 29.00000 82.0
## 210 33.10000 73.0
## 211 33.70000 77.0
## 212 41.70000 77.0
## 213 34.65000 80.0
## 214 31.30000 80.0
## 215 39.80000 65.0
## 216 34.18571 63.0
## 217 41.40000 68.0
## 218 41.70000 34.0
## 219 39.65000 17.0
## 220 37.45000 29.0
## 221 41.10000 30.0
## 222 30.30000 34.0
## 223 34.70000 25.0
## 224 30.60000 17.0
## 225 49.47143 18.0
## 226 45.70000 28.0
## 227 32.95000 29.0
## 228 30.17143 28.0
## 229 47.50000 26.0
## 230 39.50000 44.0
## 231 37.30000 35.0
## 232 30.05714 35.0
## 233 47.40000 36.0
## 234 36.05000 42.0
## 235 34.57500 41.0
## 236 40.30000 42.0
## 237 38.40000 46.0
## 238 30.40000 48.0
## 239 38.90000 53.0
## 240 36.30000 80.0
## 241 30.10000 80.0
## 242 31.30000 75.0
## 243 41.30000 75.0
## 244 38.85000 77.0
## 245 30.17500 78.0
## 246 17.00000 81.0
## 247 39.00000 79.0
## 248 31.14286 78.0
## 249 32.30000 82.0
## 250 21.98571 83.0
## 251 19.30000 82.0
## 252 20.60000 83.0
## 253 27.10000 83.0
## 254 43.70000 84.0
## 255 22.70000 81.0
## 256 27.15000 85.0
## 257 38.83750 85.0
## 258 38.20000 84.0
## 259 38.90000 57.0
## 260 39.51250 61.0
## 261 33.40000 52.0
## 262 38.07500 56.0
## 263 34.85714 32.0
## 264 34.85000 36.0
## 265 33.70000 36.0
## 266 30.45000 42.0
## 267 31.50000 40.0
## 268 30.05000 72.0
## 269 33.00000 82.0
## 270 31.30000 80.0
## 271 35.40000 80.0
## 272 42.50000 82.0
## 273 34.20000 78.0
## 274 23.98750 81.0
## 275 20.95000 81.0
## 276 20.04286 84.0
## 277 21.60000 84.0
## 278 28.70000 84.0
## 279 33.10000 81.0
## 280 40.90000 78.0
## 281 38.85000 82.0
## 282 21.00000 87.0
## 283 15.58750 83.0
## 284 32.40000 79.0
## 285 16.05714 81.0
## 286 17.98750 82.0
## 287 21.30000 85.0
## 288 22.90000 82.0
## 289 30.80000 80.0
## 290 31.40000 74.0
## 291 31.95000 74.0
## 292 44.04286 76.0
## 293 39.40000 78.0
## 294 30.48571 61.0
## 295 37.93750 36.0
## 296 30.40000 35.0
## 297 33.34286 31.0
## 298 42.30000 31.0
## 299 32.90000 31.0
## 300 30.30000 33.0
## 301 35.22857 37.0
## 302 30.40000 39.0
## 303 30.90000 8.0
## 304 46.20000 27.0
## 305 47.73750 NA
## 306 32.10000 36.0
## 307 36.42857 55.0
## 308 33.70000 57.0
## 309 37.20000 41.0
## 310 38.96250 42.0
## 311 37.30000 66.0
## 312 33.90000 82.0
## 313 32.90000 84.0
## 314 33.50000 77.0
## 315 36.80000 79.0
## 316 23.58750 83.0
## 317 37.30000 77.0
## 318 27.40000 84.0
## 319 26.81429 83.0
## 320 19.70000 82.0
## 321 37.90000 72.0
## 322 37.80000 74.0
## 323 32.61250 72.0
## 324 35.70000 75.0
## 325 32.08750 62.0
## 326 34.00000 64.0
## 327 36.30000 23.0
## 328 43.40000 24.0
## 329 48.15714 29.0
## 330 40.00000 36.0
## 331 30.71111 35.0
## 332 19.34444 83.0
## 333 37.28571 73.0
## 334 38.80000 73.0
## 335 41.50000 76.0
## 336 31.61250 58.0
## 337 43.60000 54.0
## 338 37.10000 17.0
## 339 41.32222 33.0
## 340 35.50000 44.0
## 341 32.77143 33.0
## 342 32.70000 28.0
## 343 45.52857 28.0
## 344 52.00000 26.0
## 345 47.45000 30.0
## 346 61.50000 36.0
## 347 39.50000 46.0
## 348 36.90000 32.0
## 349 31.52857 62.0
## 350 31.85714 86.0
## 351 23.00000 82.0
## 352 51.53750 82.0
## 353 31.20000 85.0
## 354 22.20000 82.0
## 355 15.88571 82.0
## 356 19.60000 81.0
## 357 32.70000 84.0
## 358 12.83750 83.0
## 359 22.05000 90.0
## 360 NA 81.0
## 361 28.70000 81.0
## 362 44.48750 79.0
## 363 37.90000 84.0
## 364 21.60000 82.0
## 365 31.66250 78.0
## 366 33.00000 80.0
## 367 31.30000 75.0
## 368 32.37143 78.0
## 369 37.88750 80.0
## 370 56.50000 80.0
## 371 44.30000 79.0
## 372 28.67500 83.0
## 373 31.92500 54.0
## 374 40.00000 55.0
## 375 37.80000 8.0
## 376 37.92857 12.0
## 377 36.65000 22.0
## 378 32.90000 41.0
## 379 30.77143 37.0arrange()
head (arrange(chicago, date),10)## city tmpd dptp date pm25tmean2 pm10tmean2 o3tmean2 no2tmean2
## 1 chic 31.5 31.500 1987-01-01 NA 34.00000 4.250000 19.98810
## 2 chic 33.0 29.875 1987-01-02 NA NA 3.304348 23.19099
## 3 chic 33.0 27.375 1987-01-03 NA 34.16667 3.333333 23.81548
## 4 chic 29.0 28.625 1987-01-04 NA 47.00000 4.375000 30.43452
## 5 chic 32.0 28.875 1987-01-05 NA NA 4.750000 30.33333
## 6 chic 40.0 35.125 1987-01-06 NA 48.00000 5.833333 25.77233
## 7 chic 34.5 26.750 1987-01-07 NA 41.00000 9.291667 20.58171
## 8 chic 29.0 22.000 1987-01-08 NA 36.00000 11.291667 17.03723
## 9 chic 26.5 29.000 1987-01-09 NA 33.28571 4.500000 23.38889
## 10 chic 32.5 27.750 1987-01-10 NA NA 4.958333 19.54167tail (arrange(chicago, date),10) #arranging with respect to the wanted column, here we picked date, dafauth is ascending hehe## city tmpd dptp date pm25tmean2 pm10tmean2 o3tmean2 no2tmean2
## 6931 chic 22 23.3 2005-12-22 36.65000 42.5 5.385417 33.73026
## 6932 chic 41 32.6 2005-12-23 32.90000 34.5 6.906250 29.08333
## 6933 chic 37 35.2 2005-12-24 30.77143 25.2 1.770833 31.98611
## 6934 chic 35 32.1 2005-12-25 6.70000 8.0 14.354167 13.79167
## 6935 chic 35 29.6 2005-12-26 8.40000 8.5 14.041667 16.81944
## 6936 chic 40 33.6 2005-12-27 23.56000 27.0 4.468750 23.50000
## 6937 chic 37 34.5 2005-12-28 17.75000 27.5 3.260417 19.28563
## 6938 chic 35 29.4 2005-12-29 7.45000 23.5 6.794837 19.97222
## 6939 chic 36 31.0 2005-12-30 15.05714 19.2 3.034420 22.80556
## 6940 chic 35 30.1 2005-12-31 15.00000 23.5 2.531250 13.25000chicago <- arrange (chicago, desc(date)) #descending arragement just add desc to the wanted column
head (chicago)## city tmpd dptp date pm25tmean2 pm10tmean2 o3tmean2 no2tmean2
## 1 chic 35 30.1 2005-12-31 15.00000 23.5 2.531250 13.25000
## 2 chic 36 31.0 2005-12-30 15.05714 19.2 3.034420 22.80556
## 3 chic 35 29.4 2005-12-29 7.45000 23.5 6.794837 19.97222
## 4 chic 37 34.5 2005-12-28 17.75000 27.5 3.260417 19.28563
## 5 chic 40 33.6 2005-12-27 23.56000 27.0 4.468750 23.50000
## 6 chic 35 29.6 2005-12-26 8.40000 8.5 14.041667 16.81944head (select (chicago, date, pm25tmean2),3) #selecting last 3 haahhaha## date pm25tmean2
## 1 2005-12-31 15.00000
## 2 2005-12-30 15.05714
## 3 2005-12-29 7.45000summary (chicago)## city tmpd dptp date
## Length:6940 Min. :-16.00 Min. :-25.62 Min. :1987-01-01
## Class :character 1st Qu.: 35.00 1st Qu.: 27.00 1st Qu.:1991-10-01
## Mode :character Median : 51.00 Median : 39.88 Median :1996-07-01
## Mean : 50.31 Mean : 40.34 Mean :1996-07-01
## 3rd Qu.: 67.00 3rd Qu.: 55.75 3rd Qu.:2001-04-01
## Max. : 92.00 Max. : 78.25 Max. :2005-12-31
## NA's :1 NA's :2
## pm25tmean2 pm10tmean2 o3tmean2 no2tmean2
## Min. : 1.70 Min. : 2.00 Min. : 0.1528 Min. : 6.158
## 1st Qu.: 9.70 1st Qu.: 21.50 1st Qu.:10.0729 1st Qu.:19.654
## Median :14.66 Median : 30.28 Median :18.5218 Median :24.556
## Mean :16.23 Mean : 33.90 Mean :19.4355 Mean :25.232
## 3rd Qu.:20.60 3rd Qu.: 42.00 3rd Qu.:27.0010 3rd Qu.:30.139
## Max. :61.50 Max. :365.00 Max. :66.5875 Max. :62.480
## NA's :4447 NA's :242#looking at the first three and last three rows shows the dates in descending order.
chicago_filtered <- filter(chicago,
date >= as.Date ("2005-12-29")| date <= as.Date ("1987-01-03"))
select (chicago_filtered, date, everything ())## date city tmpd dptp pm25tmean2 pm10tmean2 o3tmean2 no2tmean2
## 1 2005-12-31 chic 35.0 30.100 15.00000 23.50000 2.531250 13.25000
## 2 2005-12-30 chic 36.0 31.000 15.05714 19.20000 3.034420 22.80556
## 3 2005-12-29 chic 35.0 29.400 7.45000 23.50000 6.794837 19.97222
## 4 1987-01-03 chic 33.0 27.375 NA 34.16667 3.333333 23.81548
## 5 1987-01-02 chic 33.0 29.875 NA NA 3.304348 23.19099
## 6 1987-01-01 chic 31.5 31.500 NA 34.00000 4.250000 19.98810rename()
chicago [1:3,1:5]## city tmpd dptp date pm25tmean2
## 1 chic 35 30.1 2005-12-31 15.00000
## 2 chic 36 31.0 2005-12-30 15.05714
## 3 chic 35 29.4 2005-12-29 7.45000#renaming columns
chicago_v2 <- rename (chicago, dewpoint =dptp, pm25=pm25tmean2)
names (chicago_v2)## [1] "city" "tmpd" "dewpoint" "date" "pm25"
## [6] "pm10tmean2" "o3tmean2" "no2tmean2"mutate()
#mutate for creating new vairables, or column
chicago_v3 <- mutate(chicago_v2, pm25detrend = pm25 - mean (pm25, na.rm=TRUE)) #na.rm = TRUE meaning removinga ll the missing values
head (select (chicago_v3,pm25detrend))## pm25detrend
## 1 -1.230958
## 2 -1.173815
## 3 -8.780958
## 4 1.519042
## 5 7.329042
## 6 -7.830958#checking
sum (chicago_v3$pm25detrend) #the answer is NA because may missing values## [1] NAy <- sum (chicago_v3$pm25detrend, na.rm=TRUE) #na values will be removed
#checking if the answer will be 0
y## [1] 3.463896e-12near (0, y )## [1] TRUE1+y## [1] 1#nice transmute()
#transmute similar to mutate () but then drops all non-transformed variables
chicago_v4 <- transmute(chicago,
pm10detrend =pm10tmean2 - mean(pm10tmean2, na.rm=TRUE),
o3detrend = o3tmean2- mean (o3tmean2, na.rm=TRUE)) #making columns named pm10detrend and 03detrend
chicago_v4## pm10detrend o3detrend
## 1 -10.39520613 -1.690426e+01
## 2 -14.69520613 -1.640109e+01
## 3 -10.39520613 -1.264068e+01
## 4 -6.39520613 -1.617510e+01
## 5 -6.89520613 -1.496676e+01
## 6 -25.39520613 -5.393846e+00
## 7 -25.89520613 -5.081346e+00
## 8 -8.69520613 -1.766468e+01
## 9 0.60479387 -1.252926e+01
## 10 8.60479387 -1.405010e+01
## 11 25.60479387 -1.577156e+01
## 12 -1.89520613 -1.558633e+01
## 13 -12.89520613 -1.137664e+01
## 14 -16.39520613 -5.883430e+00
## 15 -13.89520613 -1.084176e+01
## 16 -11.89520613 -8.268846e+00
## 17 -17.39520613 -1.453968e+01
## 18 -17.89520613 -1.563343e+01
## 19 -12.89520613 -1.280689e+01
## 20 -5.14520613 -1.440426e+01
## 21 -19.89520613 -8.102180e+00
## 22 -3.89520613 -1.030010e+01
## 23 -11.89520613 -1.347718e+01
## 24 -2.89520613 -1.344025e+01
## 25 5.10479387 -1.551930e+01
## 26 -0.89520613 -1.473397e+01
## 27 -3.89520613 -1.298760e+01
## 28 -18.39520613 -6.258430e+00
## 29 -13.89520613 -9.102180e+00
## 30 -14.39520613 -1.027926e+01
## 31 -15.39520613 -1.240426e+01
## 32 -16.09520613 -1.024530e+01
## 33 -19.89520613 -7.844480e+00
## 34 -15.39520613 -4.199100e+00
## 35 -17.89520613 -7.768846e+00
## 36 -12.89520613 -1.275496e+01
## 37 -17.89520613 -7.893846e+00
## 38 -21.39520613 7.258931e+00
## 39 -20.39520613 -1.262331e+01
## 40 -14.89520613 -6.448194e+00
## 41 -12.89520613 -7.727180e+00
## 42 -16.89520613 -9.616069e+00
## 43 -8.39520613 -8.046624e+00
## 44 -11.49520613 -1.490774e+01
## 45 -13.39520613 -6.612596e+00
## 46 -6.39520613 -2.466763e+00
## 47 -23.39520613 -1.098443e+01
## 48 -16.89520613 -8.966763e+00
## 49 -16.39520613 5.491570e+00
## 50 -6.39520613 1.116570e+00
## 51 7.60479387 -1.123760e+01
## 52 -9.89520613 -9.873013e+00
## 53 -8.89520613 -1.539680e+00
## 54 2.60479387 -1.533497e+01
## 55 -2.89520613 -1.206477e+01
## 56 -23.49520613 -4.310513e+00
## 57 -1.89520613 -7.963291e+00
## 58 13.60479387 -5.292630e-01
## 59 0.60479387 5.441661e+00
## 60 -5.39520613 -7.543846e+00
## 61 -6.89520613 -1.249946e+01
## 62 5.30479387 -8.009718e+00
## 63 -8.89520613 6.725201e+00
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## 1888 2.60479387 -1.397854e+01
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## 1890 -10.39520613 -3.060513e+00
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## 1893 31.60479387 -1.390133e+00
## 1894 -0.89520613 -7.641672e+00
## 1895 -2.39520613 -9.261147e+00
## 1896 21.60479387 -1.628400e+01
## 1897 1.10479387 -7.794027e+00
## 1898 5.10479387 1.220737e+00
## 1899 23.10479387 3.401584e+00
## 1900 11.60479387 -6.634401e+00
## 1901 23.60479387 -1.016703e+01
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## 1903 -6.89520613 -3.865948e+00
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## 1905 20.60479387 5.487404e+00
## 1906 47.10479387 9.577802e+00
## 1907 45.10479387 6.317548e-01
## 1908 18.60479387 -1.066051e+01
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## 1914 -20.39520613 -2.585604e+00
## 1915 -23.89520613 8.145284e+00
## 1916 -3.89520613 -5.056495e+00
## 1917 12.10479387 9.758426e+00
## 1918 31.10479387 2.765724e+01
## 1919 13.60479387 4.564487e+00
## 1920 3.60479387 -9.217661e+00
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## 1922 -11.89520613 -4.057384e+00
## 1923 -5.39520613 -9.265148e+00
## 1924 -26.89520613 -2.228003e+00
## 1925 -29.39520613 3.072063e+00
## 1926 -20.39520613 -7.076159e+00
## 1927 -6.89520613 -1.202766e+01
## 1928 -16.89520613 -4.587492e+00
## 1929 -12.39520613 -1.020849e+01
## 1930 35.60479387 2.018814e+01
## 1931 23.10479387 4.275455e+00
## 1932 -8.89520613 8.509810e+00
## 1933 -19.39520613 -5.615437e+00
## 1934 -20.75234898 -6.776422e+00
## 1935 -10.39520613 -8.285466e-01
## 1936 7.60479387 -7.879354e+00
## 1937 -17.39520613 -2.018846e+00
## 1938 3.10479387 6.591428e-01
## 1939 -13.89520613 -5.606346e+00
## 1940 -7.18092041 -1.195930e+00
## 1941 8.10479387 -4.484064e+00
## 1942 14.10479387 6.591570e+00
## 1943 -3.39520613 5.341842e+00
## 1944 -21.39520613 1.043814e+01
## 1945 -24.89520613 4.974209e+00
## 1946 -0.18092041 1.684689e+01
## 1947 -2.39520613 1.795106e+01
## 1948 23.60479387 2.138376e+01
## 1949 22.60479387 1.603526e+01
## 1950 25.10479387 1.024334e+01
## 1951 10.60479387 8.916513e+00
## 1952 3.39050816 1.181638e+01
## 1953 -15.39520613 2.235805e+01
## 1954 14.10479387 1.044138e+01
## 1955 19.60479387 4.430429e+00
## 1956 -4.39520613 5.785157e+00
## 1957 12.60479387 8.976789e+00
## 1958 7.27146054 9.318028e+00
## 1959 -6.39520613 9.569428e+00
## 1960 -22.39520613 8.401608e+00
## 1961 -14.39520613 -2.039680e+00
## 1962 -21.39520613 3.411033e+00
## 1963 -11.89520613 2.127199e+00
## 1964 -16.39520613 1.789454e+00
## 1965 19.60479387 1.953272e+01
## 1966 16.10479387 1.145310e+01
## 1967 -10.89520613 6.501987e+00
## 1968 -8.39520613 4.070169e+00
## 1969 -10.39520613 -1.852180e+00
## 1970 -7.69520613 3.420136e+00
## 1971 4.60479387 6.374875e+00
## 1972 -3.89520613 1.321075e+00
## 1973 -11.89520613 -1.007740e+00
## 1974 -1.89520613 1.107179e+01
## 1975 -0.39520613 4.100472e+00
## 1976 -6.69520613 3.306582e+00
## 1977 -28.39520613 8.220119e+00
## 1978 0.10479387 6.644856e+00
## 1979 -2.39520613 -1.399386e+00
## 1980 -9.39520613 -1.649236e+00
## 1981 -13.39520613 1.587756e+01
## 1982 -6.60949184 2.877282e+01
## 1983 -3.89520613 1.279883e+01
## 1984 25.10479387 1.259545e+01
## 1985 28.10479387 1.644698e+01
## 1986 3.10479387 1.134372e+01
## 1987 -9.89520613 1.029341e+01
## 1988 -20.18092041 -1.840816e+00
## 1989 -17.39520613 -2.280210e+00
## 1990 -14.39520613 -2.849521e+00
## 1991 2.10479387 -2.047682e+00
## 1992 -22.39520613 -2.222995e-02
## 1993 -16.89520613 1.827251e+00
## 1994 -4.60949184 4.379375e+00
## 1995 -12.39520613 3.250093e+00
## 1996 -17.89520613 7.435699e+00
## 1997 -10.89520613 1.322177e+01
## 1998 2.60479387 1.376401e+01
## 1999 -8.39520613 1.735887e+01
## 2000 -8.72853946 1.318233e+01
## 2001 -13.39520613 9.880207e+00
## 2002 12.60479387 1.776903e+01
## 2003 4.10479387 1.490918e+01
## 2004 -11.89520613 5.139256e+00
## 2005 -7.39520613 1.857443e+01
## 2006 -2.64520613 2.135706e+01
## 2007 -11.89520613 7.844790e+00
## 2008 -18.89520613 1.838120e+00
## 2009 -1.89520613 1.627587e+01
## 2010 -6.89520613 1.530988e+01
## 2011 -5.89520613 1.528046e+00
## 2012 -11.64520613 6.694771e-01
## 2013 -3.89520613 -9.418550e+00
## 2014 -13.39520613 2.507518e-01
## 2015 -14.89520613 2.945685e+00
## 2016 -8.39520613 1.048684e+01
## 2017 -10.39520613 3.325851e+00
## 2018 -6.22853946 4.782537e+00
## 2019 -10.89520613 9.162313e+00
## 2020 -17.39520613 7.039918e+00
## 2021 -2.39520613 1.990796e+00
## 2022 6.60479387 1.120843e+01
## 2023 -22.39520613 9.958426e+00
## 2024 -22.06187279 6.323957e+00
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## 2026 -12.89520613 7.261382e+00
## 2027 -0.89520613 8.121223e+00
## 2028 -4.89520613 -6.466475e+00
## 2029 -22.39520613 -1.084136e+01
## 2030 -12.75234898 -3.412786e+00
## 2031 48.60479387 1.261373e+01
## 2032 42.10479387 3.632552e+01
## 2033 21.10479387 3.118372e+01
## 2034 31.60479387 1.412600e+01
## 2035 2.10479387 9.876215e-01
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## 2048 25.24765102 1.454966e+01
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## 2089 5.10479387 1.626081e+00
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## 2096 44.27146054 4.408146e+00
## 2097 27.10479387 2.914487e+00
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## 2100 12.10479387 2.235783e+00
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## 2133 1.10479387 5.318783e-01
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## 2229 -3.89520613 -1.371329e+01
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## Columns: 2
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