Imputasi Data Harian Stasiun Balikpapan
Data Balikpapan
##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union## Warning: Expecting logical in M3644 / R3644C13: got '480'## New names:
## • `` -> `...7`
## • `` -> `...8`
## • `` -> `...9`
## • `` -> `...10`
## • `` -> `...11`
## • `` -> `...12`
## • `` -> `...13`bpph <- bpph %>% select(,'TemperatureCAvg', 'TemperatureCMax', 'TemperatureCMin', 'Precmm')
bpph <- as.data.frame(bpph)
#bpph$Date <- as.Date(bpph$Date)
bpph## TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## 1 28.0 30.3 25.1 0.0
## 2 28.0 31.2 24.7 0.6
## 3 27.1 30.4 24.8 0.3
## 4 26.1 29.0 24.1 1.0
## 5 26.8 30.0 24.7 111.3
## 6 26.9 28.4 24.2 1.9
## 7 26.5 28.0 24.6 29.0
## 8 26.8 30.8 24.7 9.0
## 9 26.1 29.8 24.0 NA
## 10 25.9 28.4 24.9 10.0
## 11 27.4 29.7 25.6 13.6
## 12 27.7 29.4 24.1 44.0
## 13 26.2 29.2 24.2 44.0
## 14 27.3 30.2 24.7 6.0
## 15 28.2 30.2 25.0 0.3
## 16 26.5 30.2 24.0 12.0
## 17 26.7 29.2 24.4 100.0
## 18 27.6 30.0 25.4 65.0
## 19 27.7 29.7 25.0 NA
## 20 27.9 30.3 24.9 7.2
## 21 28.3 31.3 25.6 0.0
## 22 27.7 30.9 23.3 19.0
## 23 25.8 30.4 23.5 106.5
## 24 26.3 30.0 23.4 20.0
## 25 26.8 28.5 24.2 54.2
## 26 27.5 30.6 24.4 3.9
## 27 28.1 30.4 23.7 73.0
## 28 27.7 29.6 25.0 75.1
## 29 27.3 28.9 25.1 9.3
## 30 28.4 30.8 26.5 20.0
## 31 28.9 31.4 25.7 NA
## 32 28.4 31.5 25.4 8.0
## 33 29.3 31.5 27.1 0.0
## 34 29.2 31.7 26.7 0.0
## 35 28.8 31.0 25.6 NA
## 36 28.9 31.8 26.1 0.0
## 37 28.5 30.4 24.7 0.0
## 38 27.8 31.1 24.9 81.2
## 39 28.7 31.3 26.7 0.0
## 40 27.7 31.2 25.0 0.0
## 41 27.9 30.6 25.6 26.8
## 42 28.3 31.2 26.2 16.0
## 43 28.4 30.5 26.4 0.0
## 44 26.8 30.6 24.3 0.0
## 45 28.6 30.3 25.8 0.8
## 46 28.1 30.4 24.7 0.0
## 47 28.3 31.0 24.7 30.0
## 48 28.4 30.9 24.8 0.0
## 49 26.8 30.4 24.8 82.0
## 50 27.5 29.8 25.8 NA
## 51 27.9 30.8 25.9 NA
## 52 28.4 30.7 24.7 0.0
## 53 26.3 30.2 22.9 0.3
## 54 27.1 29.2 23.2 47.0
## 55 25.6 29.1 23.7 10.0
## 56 27.3 30.9 23.9 37.0
## 57 27.8 31.7 23.9 35.0
## 58 28.4 31.7 25.4 0.0
## 59 26.7 31.0 24.3 2.2
## 60 25.9 27.9 24.3 19.7
## 61 27.0 30.1 25.2 9.2
## 62 27.7 30.1 25.6 0.8
## 63 27.3 30.0 24.1 9.4
## 64 27.2 31.1 24.1 34.0
## 65 28.8 31.8 26.3 4.0
## 66 29.1 31.6 25.5 0.0
## 67 28.2 30.8 25.0 0.0
## 68 26.3 29.7 24.7 0.0
## 69 26.4 30.1 24.4 20.6
## 70 27.1 30.6 23.8 36.2
## 71 28.4 31.2 25.7 NA
## 72 28.8 31.2 25.4 0.3
## 73 26.9 31.1 24.9 4.0
## 74 27.1 31.3 24.6 12.0
## 75 27.4 31.8 24.7 35.0
## 76 28.3 31.1 24.5 0.0
## 77 28.1 30.7 24.5 8.0
## 78 27.2 29.6 25.0 13.1
## 79 26.6 29.1 25.0 NA
## 80 27.8 31.7 24.7 31.0
## 81 27.8 32.2 25.2 2.0
## 82 27.0 32.2 25.4 1.4
## 83 28.4 31.7 24.5 10.0
## 84 28.0 31.6 26.1 0.0
## 85 27.4 31.3 24.7 34.0
## 86 27.7 30.4 24.8 0.1
## 87 27.6 31.7 25.3 10.6
## 88 27.7 30.4 24.1 5.2
## 89 27.8 31.4 24.2 68.8
## 90 27.6 31.1 24.9 1.0
## 91 27.3 32.9 25.2 58.2
## 92 29.2 32.9 25.6 3.0
## 93 29.0 31.7 26.4 0.0
## 94 28.2 33.0 25.3 16.0
## 95 28.8 32.1 26.7 0.0
## 96 27.4 31.0 24.2 4.0
## 97 26.5 29.9 24.4 47.5
## 98 28.6 31.9 26.1 50.0
## 99 29.5 32.1 25.0 NA
## 100 28.5 31.7 26.2 0.0
## 101 28.6 31.5 25.8 11.0
## 102 29.0 32.3 25.4 37.0
## 103 28.3 31.0 24.1 40.0
## 104 28.3 32.8 25.1 20.0
## 105 28.4 32.8 24.8 74.0
## 106 28.7 30.6 25.2 0.0
## 107 28.3 32.6 25.2 2.8
## 108 30.1 32.1 27.2 0.0
## 109 29.5 32.3 26.3 0.0
## 110 29.4 32.3 26.3 13.0
## 111 28.1 32.1 24.7 0.0
## 112 27.7 32.3 25.1 22.0
## 113 29.0 32.1 25.8 8.1
## 114 28.6 32.0 25.8 0.0
## 115 28.0 32.1 26.3 NA
## 116 29.8 33.0 26.7 0.0
## 117 29.5 31.9 24.8 0.0
## 118 27.7 30.6 24.9 5.5
## 119 28.8 32.3 24.9 21.5
## 120 27.0 31.6 24.8 0.1
## 121 27.6 31.9 25.0 19.0
## 122 29.7 33.3 26.0 11.1
## 123 29.2 32.6 26.7 NA
## 124 28.0 31.6 25.0 0.5
## 125 28.7 32.7 25.7 25.0
## 126 28.7 32.3 25.7 21.0
## 127 29.1 33.6 26.2 0.6
## 128 29.3 32.5 25.8 0.0
## 129 27.7 31.8 25.3 5.0
## 130 27.6 33.2 25.5 14.0
## 131 29.3 33.4 26.3 0.3
## 132 29.4 33.8 26.3 NA
## 133 29.4 32.7 26.4 0.8
## 134 29.8 33.6 26.3 0.0
## 135 29.0 32.9 26.5 NA
## 136 29.8 33.0 26.2 NA
## 137 29.5 32.8 25.1 0.0
## 138 29.4 32.2 26.5 0.0
## 139 29.4 32.6 26.4 0.0
## 140 29.6 32.8 26.3 0.0
## 141 29.4 32.6 26.1 NA
## 142 29.6 33.2 25.0 0.0
## 143 29.0 33.0 26.3 0.0
## 144 29.4 34.5 25.1 2.0
## 145 27.7 34.5 24.9 12.0
## 146 29.7 34.8 26.4 0.0
## 147 29.8 35.2 26.6 0.0
## 148 30.1 34.4 25.6 0.0
## 149 29.9 34.8 25.5 0.0
## 150 29.5 34.0 25.5 0.0
## 151 29.0 33.0 25.1 0.0
## 152 28.2 32.0 25.0 NA
## 153 27.4 31.1 25.8 5.0
## 154 28.7 32.1 24.8 4.0
## 155 27.5 30.7 24.4 0.0
## 156 26.1 28.6 24.3 103.3
## 157 27.7 32.4 24.9 39.0
## 158 28.9 32.4 24.9 12.0
## 159 29.3 33.9 26.0 0.0
## 160 29.5 33.4 25.2 0.0
## 161 28.9 33.2 25.0 0.0
## 162 27.6 31.3 24.3 NA
## 163 27.4 31.4 24.7 3.3
## 164 28.1 32.0 24.7 0.0
## 165 28.6 31.8 23.7 NA
## 166 28.2 33.5 23.2 35.5
## 167 28.7 32.1 25.0 0.0
## 168 28.4 32.6 25.0 NA
## 169 28.8 33.9 25.0 0.0
## 170 29.3 33.9 25.6 0.0
## 171 28.8 32.3 24.5 0.0
## 172 27.7 33.1 23.8 34.8
## 173 28.9 32.2 24.5 NA
## 174 27.0 32.6 24.5 NA
## 175 25.9 32.6 24.9 4.0
## 176 28.5 33.2 25.0 24.0
## 177 28.4 32.6 25.1 NA
## 178 28.5 32.9 24.8 22.9
## 179 28.6 32.7 25.8 0.0
## 180 27.8 32.7 26.0 11.7
## 181 28.4 32.4 26.0 6.1
## 182 28.7 33.2 26.0 0.1
## 183 29.0 32.7 25.8 0.0
## 184 30.1 34.5 25.7 0.0
## 185 29.7 34.2 25.9 0.0
## 186 29.0 32.7 24.8 0.0
## 187 27.2 31.3 24.5 0.6
## 188 27.4 35.6 24.4 21.5
## 189 29.4 34.1 24.8 11.0
## 190 29.6 33.3 26.2 0.0
## 191 29.4 35.4 26.2 0.0
## 192 30.0 34.6 26.3 0.0
## 193 29.5 33.7 25.7 0.0
## 194 29.3 33.3 25.6 0.0
## 195 29.3 34.0 25.4 0.0
## 196 29.1 34.7 25.4 0.0
## 197 29.2 34.7 24.8 0.0
## 198 28.8 34.0 25.6 0.0
## 199 28.7 33.0 25.1 NA
## 200 28.6 32.8 25.1 0.0
## 201 27.9 32.6 24.7 0.0
## 202 27.4 32.0 24.9 10.0
## 203 27.4 31.6 24.9 6.0
## 204 26.8 31.4 24.9 15.0
## 205 28.7 33.1 26.0 11.5
## 206 28.3 32.2 24.5 NA
## 207 27.7 32.7 23.3 122.0
## 208 29.1 32.8 24.7 0.0
## 209 28.1 32.1 24.0 71.0
## 210 27.3 32.2 25.0 20.5
## 211 27.2 32.2 24.6 18.0
## 212 28.8 32.1 24.1 NA
## 213 26.3 31.7 24.1 9.0
## 214 29.1 32.5 25.0 0.0
## 215 28.7 32.2 25.4 0.0
## 216 28.8 33.4 25.0 0.0
## 217 28.8 33.0 24.7 0.0
## 218 29.1 33.9 25.4 0.0
## 219 28.1 33.5 25.4 1.8
## 220 27.9 31.4 24.7 0.0
## 221 26.6 31.2 23.7 3.1
## 222 27.8 33.8 23.6 10.0
## 223 27.6 31.8 24.0 4.0
## 224 27.2 31.6 23.9 6.0
## 225 27.7 31.1 24.4 12.0
## 226 28.4 33.5 24.3 66.0
## 227 29.1 33.0 25.6 0.0
## 228 28.1 32.9 23.3 0.0
## 229 27.6 31.6 24.1 3.9
## 230 27.2 31.8 24.5 25.0
## 231 27.1 31.3 25.0 1.5
## 232 27.3 33.1 25.4 9.0
## 233 27.1 32.4 24.1 68.0
## 234 29.2 34.0 26.3 NA
## 235 28.8 32.4 25.3 0.0
## 236 27.0 31.3 25.4 0.3
## 237 27.7 32.8 25.5 10.0
## 238 27.4 32.0 25.0 44.0
## 239 28.4 32.0 24.2 3.0
## 240 27.6 32.9 23.9 59.0
## 241 28.0 33.4 24.7 14.0
## 242 27.6 32.4 24.6 11.2
## 243 27.8 32.7 24.3 37.0
## 244 27.7 32.6 25.8 6.0
## 245 29.0 33.1 25.9 15.3
## 246 29.2 32.4 25.5 0.0
## 247 28.8 32.1 25.4 0.0
## 248 28.6 32.4 25.5 3.0
## 249 27.3 31.4 23.7 22.2
## 250 26.5 34.0 23.7 77.0
## 251 28.7 33.3 25.6 0.0
## 252 29.0 32.5 25.1 0.0
## 253 29.2 32.6 25.3 0.0
## 254 28.7 32.8 25.2 6.0
## 255 29.6 32.6 26.0 3.0
## 256 28.5 32.2 25.3 0.8
## 257 28.2 31.3 24.4 0.0
## 258 26.6 32.5 24.4 64.8
## 259 27.9 32.0 25.4 7.0
## 260 27.8 30.3 25.7 NA
## 261 27.8 32.4 26.0 NA
## 262 28.6 31.7 26.0 0.0
## 263 27.4 32.5 25.4 0.8
## 264 28.1 31.8 25.4 25.0
## 265 28.8 32.7 25.5 0.8
## 266 28.2 32.7 25.0 0.0
## 267 29.0 32.7 24.4 0.0
## 268 27.5 30.8 24.3 NA
## 269 27.1 32.7 24.2 63.3
## 270 28.8 32.7 25.4 NA
## 271 28.2 31.6 24.4 14.0
## 272 26.9 32.8 24.4 16.0
## 273 28.5 31.8 24.8 0.0
## 274 27.5 33.7 24.7 16.0
## 275 28.9 32.1 25.5 NA
## 276 28.0 32.2 25.1 0.3
## 277 28.0 32.2 25.1 1.0
## 278 28.1 31.1 25.0 0.0
## 279 26.5 29.8 24.7 4.0
## 280 27.8 31.9 25.4 1.0
## 281 28.0 31.3 25.6 NA
## 282 27.5 32.1 25.4 NA
## 283 29.2 32.7 26.3 9.0
## 284 28.5 32.4 25.2 17.0
## 285 28.0 32.3 26.0 17.0
## 286 28.7 33.1 25.2 0.0
## 287 28.5 32.6 24.9 10.0
## 288 28.6 32.6 24.8 12.7
## 289 29.1 32.9 26.2 NA
## 290 29.0 33.9 25.4 2.3
## 291 29.5 32.8 26.3 0.0
## 292 28.3 32.0 25.4 0.0
## 293 29.0 32.8 25.8 4.0
## 294 27.8 32.3 24.6 NA
## 295 28.9 33.2 25.6 0.7
## 296 27.5 33.2 24.2 NA
## 297 28.7 33.4 26.2 0.0
## 298 29.0 33.0 26.1 0.0
## 299 29.1 33.1 26.2 1.0
## 300 29.8 33.3 26.3 NA
## 301 27.0 33.0 24.7 NA
## 302 27.7 33.5 24.8 11.0
## 303 29.1 32.6 24.1 NA
## 304 29.3 34.0 24.2 18.0
## 305 29.9 33.8 26.7 0.0
## 306 30.4 33.7 26.3 0.0
## 307 29.9 32.9 27.1 NA
## 308 30.1 33.2 27.7 0.0
## 309 29.1 32.6 26.3 0.0
## 310 29.5 32.7 26.0 0.2
## 311 29.6 33.0 25.8 0.0
## 312 28.4 32.5 25.2 0.0
## 313 28.3 32.0 25.1 0.0
## 314 28.2 31.6 24.9 9.0
## 315 29.2 33.3 25.7 1.6
## 316 28.7 32.5 25.8 0.0
## 317 28.3 31.7 25.2 7.0
## 318 26.7 30.4 25.2 2.0
## 319 28.0 33.2 23.8 74.0
## 320 28.9 32.7 24.4 NA
## 321 29.3 32.1 24.0 15.0
## 322 29.7 32.7 27.3 0.0
## 323 29.9 32.9 26.0 0.0
## 324 29.1 32.7 26.5 0.0
## 325 29.7 32.2 26.3 NA
## 326 29.6 32.5 26.1 0.0
## 327 29.8 32.5 27.5 0.0
## 328 29.9 31.9 26.7 0.0
## 329 28.4 31.8 23.9 33.0
## 330 28.9 33.0 24.8 64.0
## 331 29.1 33.7 25.3 0.0
## 332 29.5 33.1 26.1 0.0
## 333 29.4 33.1 26.4 0.0
## 334 29.1 32.2 26.2 0.0
## 335 28.7 31.2 26.4 0.0
## 336 29.1 31.7 27.4 0.0
## 337 29.1 31.8 26.5 0.0
## 338 29.1 32.0 26.0 0.0
## 339 28.9 31.5 25.0 0.0
## 340 28.8 31.8 25.4 0.0
## 341 29.1 31.5 26.2 0.0
## 342 29.0 31.6 26.4 0.0
## 343 29.1 31.7 26.3 0.0
## 344 28.7 31.4 26.2 0.0
## 345 28.8 31.4 26.8 0.0
## 346 28.9 31.8 27.2 0.0
## 347 28.7 31.2 25.8 0.0
## 348 28.6 31.8 25.6 1.2
## 349 27.3 31.2 24.8 NA
## 350 28.0 31.0 25.3 0.5
## 351 28.7 31.9 25.7 NA
## 352 28.3 31.4 25.8 NA
## 353 28.4 31.0 24.5 0.0
## 354 27.6 31.0 24.4 1.7
## 355 27.3 30.7 23.7 89.0
## 356 28.7 31.9 26.4 0.0
## 357 28.8 31.5 26.2 NA
## 358 28.9 31.4 26.6 0.0
## 359 28.9 31.3 26.1 0.0
## 360 28.8 31.8 26.8 NA
## 361 28.9 31.9 25.8 NA
## 362 28.6 31.1 25.4 0.0
## 363 27.7 30.9 24.9 NA
## 364 NA 30.8 NA NA
## 365 28.5 30.3 25.3 0.0
## 366 28.8 31.3 26.0 0.0
## 367 28.7 31.7 26.1 0.0
## 368 29.1 31.8 26.2 0.0
## 369 28.9 31.3 26.0 0.0
## 370 28.9 31.0 27.2 0.0
## 371 28.6 30.6 25.3 0.0
## 372 28.0 31.4 23.8 5.2
## 373 28.5 32.3 23.3 56.0
## 374 28.1 30.8 25.4 1.5
## 375 28.5 31.2 26.3 0.1
## 376 28.7 31.9 25.8 0.0
## 377 28.9 31.7 26.5 0.0
## 378 28.6 31.1 25.7 0.0
## 379 28.8 31.1 25.7 0.0
## 380 28.6 31.4 25.8 2.0
## 381 28.4 31.1 26.0 0.0
## 382 28.6 30.6 26.6 0.0
## 383 28.4 31.6 25.9 0.0
## 384 28.2 30.4 24.9 0.0
## 385 NA NA NA 0.0
## 386 27.9 30.8 25.6 NA
## 387 28.5 31.1 26.0 NA
## 388 28.3 30.9 25.4 NA
## 389 28.3 30.1 25.2 0.0
## 390 28.2 31.2 24.7 0.0
## 391 28.6 31.3 24.7 17.2
## 392 28.9 30.7 26.1 0.0
## 393 28.9 31.2 26.3 0.0
## 394 28.7 31.2 25.8 0.0
## 395 28.4 31.7 25.8 0.0
## 396 28.8 30.9 26.3 0.0
## 397 28.5 31.0 26.2 0.0
## 398 28.3 31.2 24.6 0.0
## 399 28.3 30.4 25.4 0.0
## 400 28.5 31.8 25.4 0.0
## 401 28.3 30.7 25.4 0.0
## 402 28.3 30.8 25.4 0.0
## 403 28.1 30.7 25.6 0.0
## 404 28.3 30.1 25.9 NA
## 405 28.3 30.8 25.9 0.0
## 406 27.9 30.7 25.3 NA
## 407 26.8 30.3 23.7 18.0
## 408 26.5 30.9 23.8 34.6
## 409 28.5 31.1 25.2 30.0
## 410 28.6 30.7 25.3 NA
## 411 27.9 30.6 25.2 0.0
## 412 28.1 30.0 26.0 NA
## 413 27.8 29.8 25.8 0.4
## 414 27.8 30.2 25.3 0.5
## 415 27.2 30.0 25.4 NA
## 416 27.6 31.1 26.0 1.0
## 417 28.9 30.7 26.1 NA
## 418 28.6 31.2 25.2 0.3
## 419 28.1 31.8 25.1 7.0
## 420 28.1 30.7 24.9 NA
## 421 26.6 31.2 25.0 31.0
## 422 28.0 31.2 25.9 NA
## 423 27.9 30.6 25.5 0.6
## 424 27.3 29.8 25.1 0.8
## 425 25.6 29.7 23.8 11.0
## 426 27.1 31.9 24.5 7.0
## 427 28.2 31.9 25.7 0.0
## 428 27.9 31.0 25.2 0.0
## 429 28.2 31.2 25.9 6.7
## 430 28.4 30.7 24.8 0.0
## 431 27.6 31.9 24.4 20.0
## 432 28.6 31.9 25.8 NA
## 433 28.4 30.9 25.5 0.0
## 434 28.8 30.8 25.8 2.0
## 435 28.8 30.9 25.8 1.0
## 436 28.1 30.7 24.9 NA
## 437 28.2 30.1 24.8 0.0
## 438 25.2 29.2 23.2 NA
## 439 25.8 32.0 23.6 54.9
## 440 27.2 31.5 25.2 0.0
## 441 26.4 28.6 25.0 0.2
## 442 27.0 30.5 25.0 11.2
## 443 26.7 29.9 24.6 NA
## 444 28.1 31.5 26.0 0.6
## 445 28.5 31.6 26.0 8.0
## 446 27.8 30.8 25.6 NA
## 447 29.2 31.6 25.9 0.0
## 448 28.8 31.2 25.5 0.0
## 449 28.6 31.2 26.5 25.0
## 450 29.0 31.4 25.8 NA
## 451 28.7 30.7 23.9 4.0
## 452 28.2 31.1 24.3 31.0
## 453 25.9 30.6 24.2 12.0
## 454 27.9 31.6 25.2 9.8
## 455 29.7 32.3 27.3 0.0
## 456 29.6 32.0 25.2 0.0
## 457 29.4 31.4 26.6 0.0
## 458 29.0 31.0 26.4 NA
## 459 29.0 31.6 25.0 22.0
## 460 28.6 32.0 25.2 10.0
## 461 28.8 31.4 24.8 1.0
## 462 28.7 31.9 24.8 26.0
## 463 28.6 31.0 25.0 0.0
## 464 28.4 31.3 25.0 1.6
## 465 27.5 31.2 25.0 2.0
## 466 28.4 32.2 24.2 0.0
## 467 28.9 30.8 23.4 0.0
## 468 28.3 31.2 23.4 56.5
## 469 28.9 31.5 25.0 NA
## 470 27.7 31.0 25.3 0.0
## 471 27.0 31.3 25.3 0.8
## 472 27.4 30.1 25.3 10.2
## 473 27.7 28.9 24.3 5.0
## 474 28.1 30.6 24.9 13.0
## 475 28.1 32.3 24.9 57.3
## 476 28.8 32.0 24.9 28.7
## 477 30.1 33.1 25.7 2.0
## 478 29.9 32.8 25.3 17.5
## 479 28.1 31.9 23.6 0.0
## 480 27.4 29.7 23.6 18.0
## 481 27.5 29.2 25.2 NA
## 482 28.0 31.0 25.2 10.4
## 483 28.1 30.4 25.8 10.0
## 484 28.8 32.2 25.0 6.7
## 485 29.8 32.5 27.1 0.0
## 486 29.4 32.5 25.1 0.0
## 487 28.1 32.5 24.9 0.0
## 488 27.9 31.8 25.0 NA
## 489 27.4 31.4 25.3 NA
## 490 26.6 32.0 23.3 37.2
## 491 28.9 34.1 25.8 NA
## 492 28.7 32.9 26.0 0.0
## 493 29.2 32.2 24.3 0.0
## 494 27.0 31.4 23.8 29.0
## 495 27.0 32.8 23.9 46.6
## 496 28.4 33.0 25.4 0.0
## 497 28.1 32.5 25.4 NA
## 498 28.6 32.1 24.7 0.0
## 499 27.0 31.1 24.8 0.0
## 500 28.5 32.4 25.4 26.0
## 501 28.7 31.9 25.0 8.1
## 502 28.1 32.4 25.4 0.0
## 503 28.5 32.0 22.9 NA
## 504 27.8 32.8 22.9 14.6
## 505 27.8 31.6 23.7 0.0
## 506 27.1 32.3 23.0 18.4
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## 508 27.6 32.4 24.4 22.0
## 509 27.4 32.3 24.4 13.5
## 510 27.9 32.1 24.4 4.5
## 511 26.2 31.3 23.4 10.0
## 512 26.8 30.4 23.6 0.0
## 513 26.8 32.2 23.6 19.0
## 514 26.8 32.0 23.7 NA
## 515 26.8 29.9 23.9 5.6
## 516 26.3 29.4 23.5 2.0
## 517 26.3 32.1 24.0 32.0
## 518 28.0 31.4 23.1 0.0
## 519 26.0 31.7 22.9 127.0
## 520 28.1 31.2 24.4 0.0
## 521 27.3 31.6 24.3 1.1
## 522 27.9 31.6 25.0 NA
## 523 26.9 32.2 24.7 NA
## 524 27.9 30.9 25.1 0.0
## 525 27.4 32.1 25.0 3.8
## 526 28.4 31.7 24.7 10.0
## 527 27.8 31.3 24.7 NA
## 528 26.6 32.0 24.8 1.1
## 529 28.1 31.6 24.1 0.0
## 530 26.3 29.2 24.3 3.0
## 531 28.0 31.4 25.2 31.0
## 532 28.1 31.4 24.8 3.0
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## 534 27.2 31.5 25.0 0.0
## 535 28.1 31.2 24.1 0.0
## 536 26.5 30.3 22.9 101.0
## 537 26.2 30.4 24.3 NA
## 538 26.6 30.8 24.2 11.7
## 539 27.0 31.7 24.9 24.0
## 540 27.6 30.6 24.8 0.0
## 541 27.3 30.3 25.2 10.0
## 542 26.6 32.1 23.0 55.3
## 543 27.8 31.9 24.8 NA
## 544 26.9 31.8 24.6 0.2
## 545 27.3 30.5 23.8 0.0
## 546 26.3 30.5 23.0 15.4
## 547 27.6 30.2 24.4 0.0
## 548 26.9 31.4 24.3 14.0
## 549 26.5 30.7 23.4 0.0
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## 554 26.0 29.2 22.9 2.3
## 555 26.4 32.0 22.7 14.1
## 556 27.2 31.3 23.8 16.1
## 557 27.9 31.9 25.1 0.5
## 558 27.5 31.3 21.8 19.8
## 559 27.8 32.9 21.6 46.3
## 560 28.1 32.4 24.4 NA
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## 562 26.2 28.9 23.1 5.0
## 563 25.5 31.3 21.8 42.4
## 564 26.6 32.2 22.9 20.9
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## 571 28.3 31.5 24.7 0.0
## 572 26.7 31.1 22.4 0.3
## 573 26.6 30.4 22.4 12.7
## 574 28.0 31.7 23.7 NA
## 575 26.1 29.9 23.1 17.0
## 576 NA NA NA NA
## 577 25.9 30.2 23.4 3.0
## 578 26.3 31.8 23.4 8.0
## 579 27.4 31.2 24.4 24.4
## 580 26.5 30.3 23.3 10.0
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## 582 26.1 30.0 23.6 13.0
## 583 26.4 29.1 23.9 1.0
## 584 26.8 30.6 23.9 19.2
## 585 26.6 32.1 23.9 39.1
## 586 27.2 31.3 24.4 2.1
## 587 26.8 30.8 23.8 29.0
## 588 26.9 29.8 24.1 0.5
## 589 26.3 32.0 24.6 11.8
## 590 27.7 31.1 23.4 52.0
## 591 27.0 30.8 24.6 3.0
## 592 27.1 31.7 24.3 67.7
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## 596 27.9 32.6 24.6 1.6
## 597 27.1 31.4 24.4 2.0
## 598 28.0 32.2 24.3 0.0
## 599 27.0 32.0 24.4 1.2
## 600 26.6 31.4 23.4 NA
## 601 26.4 30.8 24.1 NA
## 602 27.1 31.1 25.1 NA
## 603 27.5 32.1 24.5 11.7
## 604 28.4 31.7 24.9 4.0
## 605 28.4 31.2 25.0 0.0
## 606 28.0 31.4 24.3 0.0
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## 610 28.7 32.1 25.4 0.0
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## 612 28.5 32.4 25.3 4.6
## 613 27.6 33.2 22.4 105.8
## 614 28.6 32.1 25.3 0.0
## 615 28.2 32.0 24.0 0.0
## 616 27.1 31.3 23.6 NA
## 617 27.0 29.9 24.7 NA
## 618 27.4 31.5 23.7 28.0
## 619 27.5 31.5 23.7 8.2
## 620 27.7 32.2 23.8 24.0
## 621 27.9 31.2 24.3 0.0
## 622 27.5 31.2 24.2 NA
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## 624 26.4 29.0 24.3 0.8
## 625 26.7 32.0 24.5 2.5
## 626 27.1 31.2 24.2 2.2
## 627 26.7 31.1 23.8 6.5
## 628 27.9 33.2 23.4 51.2
## 629 29.0 32.8 24.7 5.1
## 630 29.0 32.2 24.8 14.0
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## 632 28.1 31.9 25.0 0.0
## 633 26.9 31.0 24.3 0.0
## 634 28.1 32.0 24.9 0.0
## 635 27.2 32.4 24.8 NA
## 636 28.1 33.1 24.5 22.0
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## 638 26.4 29.7 24.6 12.0
## 639 27.2 31.9 24.8 1.6
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## 642 27.1 32.1 24.0 3.4
## 643 27.4 30.8 23.9 1.0
## 644 25.7 29.8 23.5 1.8
## 645 26.8 32.2 24.3 7.0
## 646 27.5 30.8 23.8 0.1
## 647 26.1 31.8 24.0 1.1
## 648 27.8 31.0 23.8 0.0
## 649 26.7 31.9 23.4 0.5
## 650 27.9 32.3 25.1 10.4
## 651 27.9 31.9 23.5 NA
## 652 26.4 29.3 23.4 23.1
## 653 27.2 31.7 24.2 12.1
## 654 28.1 30.4 24.3 NA
## 655 26.9 31.4 23.7 21.0
## 656 26.9 31.9 23.3 45.5
## 657 28.4 32.8 25.3 0.0
## 658 27.5 32.7 24.8 NA
## 659 28.1 32.1 24.8 0.0
## 660 27.7 31.9 24.2 0.0
## 661 28.2 31.8 23.9 44.0
## 662 27.7 31.0 23.8 32.3
## 663 27.8 29.2 24.8 5.3
## 664 26.6 31.8 25.1 6.1
## 665 28.6 32.6 25.0 0.0
## 666 28.0 31.2 25.2 0.3
## 667 28.1 31.8 25.2 2.5
## 668 27.9 31.9 25.2 NA
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## 670 29.2 32.0 26.3 0.0
## 671 28.9 31.9 25.6 0.0
## 672 29.2 31.2 25.4 4.5
## 673 27.9 32.1 24.0 54.0
## 674 27.3 31.8 23.9 30.5
## 675 27.1 31.3 24.6 6.0
## 676 27.8 32.4 24.6 0.3
## 677 NA NA NA 0.0
## 678 28.1 32.3 25.0 0.0
## 679 27.1 31.6 24.0 0.0
## 680 27.0 31.4 23.0 14.3
## 681 28.1 31.4 25.2 2.3
## 682 27.2 31.0 23.6 3.0
## 683 26.8 30.1 23.6 10.0
## 684 27.2 33.0 24.7 14.1
## 685 28.6 32.9 25.1 0.0
## 686 28.2 32.1 25.1 18.0
## 687 28.5 32.4 25.5 0.0
## 688 28.0 31.7 23.9 3.0
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## 690 26.0 29.8 22.7 18.0
## 691 26.4 32.2 24.5 34.3
## 692 26.9 31.1 23.2 1.0
## 693 26.7 30.4 23.3 72.0
## 694 27.8 32.2 24.2 13.7
## 695 27.4 31.2 24.5 0.0
## 696 26.5 29.4 24.3 10.0
## 697 27.2 31.1 24.4 11.6
## 698 28.2 30.9 24.4 NA
## 699 27.2 31.0 24.5 9.0
## 700 27.0 30.1 23.8 0.5
## 701 27.0 32.2 24.0 4.1
## 702 26.6 31.6 23.6 5.6
## 703 27.8 32.2 24.2 21.3
## 704 28.5 31.1 25.1 0.0
## 705 28.0 30.6 24.9 12.0
## 706 28.1 30.6 24.0 36.1
## 707 25.4 30.3 23.3 5.0
## 708 27.5 31.7 25.0 4.0
## 709 28.3 31.4 24.8 0.0
## 710 26.9 33.0 24.2 20.0
## 711 27.0 31.9 24.2 3.8
## 712 25.3 31.1 23.4 50.0
## 713 28.4 31.1 25.5 0.0
## 714 28.5 31.3 25.0 0.0
## 715 27.5 31.0 25.0 0.0
## 716 28.4 30.8 25.4 0.0
## 717 28.1 31.2 24.1 0.0
## 718 27.2 30.6 22.8 92.0
## 719 27.7 31.8 24.1 12.0
## 720 26.8 29.9 22.7 0.0
## 721 25.7 28.9 23.9 62.0
## 722 26.1 30.7 24.0 2.8
## 723 27.4 32.0 23.9 24.8
## 724 26.8 32.4 24.7 NA
## 725 27.7 31.5 24.8 0.0
## 726 25.8 29.5 23.6 10.1
## 727 25.7 30.2 23.7 46.0
## 728 27.8 30.1 25.9 NA
## 729 27.2 29.4 25.8 0.0
## 730 28.0 31.4 24.4 19.0
## 731 27.7 31.7 24.4 0.0
## 732 25.6 30.1 23.6 45.3
## 733 27.2 30.1 23.9 26.3
## 734 27.4 29.7 24.3 12.3
## 735 26.6 29.4 25.0 3.0
## 736 26.5 30.3 25.1 8.2
## 737 27.3 29.9 24.2 0.3
## 738 26.9 29.9 22.4 218.0
## 739 27.4 29.7 23.7 56.8
## 740 27.2 30.3 24.8 5.0
## 741 27.7 31.1 24.9 6.0
## 742 28.5 31.4 25.5 NA
## 743 29.1 31.6 25.6 12.0
## 744 27.2 30.7 22.3 0.0
## 745 27.3 31.6 23.4 42.2
## 746 27.4 31.2 23.2 22.0
## 747 28.4 31.2 24.4 0.0
## 748 26.2 30.1 24.2 NA
## 749 26.5 30.2 24.4 3.1
## 750 27.3 31.6 23.1 29.0
## 751 28.6 31.3 25.2 8.0
## 752 27.6 30.7 24.7 56.0
## 753 28.0 30.8 25.1 4.0
## 754 28.4 30.2 25.0 0.0
## 755 27.7 30.4 24.0 3.0
## 756 27.6 29.5 25.2 0.0
## 757 27.2 28.4 25.8 NA
## 758 27.5 29.3 23.8 1.1
## 759 27.4 31.7 24.9 24.8
## 760 27.6 30.4 24.7 NA
## 761 27.1 29.7 24.4 0.7
## 762 26.4 29.0 24.0 2.0
## 763 26.2 29.8 23.9 32.0
## 764 28.2 31.1 25.2 0.0
## 765 27.0 30.0 25.1 0.4
## 766 27.2 30.1 24.8 4.0
## 767 26.8 29.7 24.8 5.4
## 768 27.1 29.3 24.5 4.0
## 769 28.0 31.6 25.1 16.2
## 770 29.0 31.5 25.0 21.0
## 771 27.6 30.7 24.2 0.0
## 772 28.5 32.4 24.2 39.0
## 773 28.5 32.3 24.4 0.0
## 774 28.5 31.4 25.2 0.0
## 775 27.2 29.6 24.9 NA
## 776 26.8 29.4 25.1 NA
## 777 27.8 30.8 25.3 0.0
## 778 28.0 31.1 24.1 0.0
## 779 26.2 29.5 22.8 1.0
## 780 26.1 30.9 23.2 29.9
## 781 27.8 31.2 24.2 23.0
## 782 27.7 30.2 23.4 13.0
## 783 28.2 30.1 25.0 0.0
## 784 26.1 29.2 24.6 0.5
## 785 27.1 31.2 24.7 21.3
## 786 27.8 29.4 25.7 0.0
## 787 27.9 30.7 25.0 0.0
## 788 28.0 31.7 25.3 0.0
## 789 28.1 31.4 24.1 0.0
## 790 26.7 31.5 22.9 68.0
## 791 28.9 32.2 26.0 NA
## 792 28.5 31.2 25.0 0.0
## 793 26.6 30.2 23.8 0.0
## 794 26.9 30.9 24.8 2.0
## 795 28.1 30.9 24.9 0.0
## 796 27.7 31.4 24.9 6.0
## 797 28.7 31.0 24.9 0.0
## 798 28.1 31.7 25.2 NA
## 799 27.3 31.4 24.8 0.0
## 800 27.1 31.0 24.6 10.0
## 801 27.0 31.3 24.9 NA
## 802 27.4 30.8 24.0 3.5
## 803 27.7 31.2 24.2 115.0
## 804 27.0 31.2 24.7 0.4
## 805 27.1 30.6 24.0 3.0
## 806 27.1 31.6 23.1 49.0
## 807 27.4 31.5 23.0 30.3
## 808 27.7 31.5 23.9 9.0
## 809 27.3 31.4 24.4 33.0
## 810 27.9 32.0 24.2 3.0
## 811 28.1 30.6 24.9 4.0
## 812 28.0 32.3 25.8 1.4
## 813 28.5 32.2 25.1 0.0
## 814 27.5 31.0 25.1 0.0
## 815 27.8 32.0 25.8 1.1
## 816 27.4 31.3 24.6 NA
## 817 27.7 32.1 24.0 4.1
## 818 28.5 32.1 25.2 0.0
## 819 27.2 31.6 24.2 0.0
## 820 26.6 32.2 24.6 14.6
## 821 28.8 32.5 26.2 0.0
## 822 29.0 32.2 24.5 0.0
## 823 28.7 32.1 25.6 0.0
## 824 NA NA NA 0.0
## 825 26.5 28.8 23.7 2.4
## 826 28.1 31.9 26.1 1.0
## 827 27.7 31.4 23.9 12.0
## 828 28.4 31.3 25.2 0.0
## 829 28.4 32.9 25.1 NA
## 830 28.8 32.5 25.0 0.0
## 831 28.5 31.8 25.4 0.0
## 832 28.2 32.2 23.7 0.0
## 833 28.1 31.5 25.9 0.2
## 834 28.6 32.2 25.4 NA
## 835 28.3 32.9 25.4 0.8
## 836 28.5 31.9 24.8 0.0
## 837 27.6 31.3 23.7 58.8
## 838 27.4 31.8 23.9 7.6
## 839 28.4 32.3 25.4 6.0
## 840 27.6 31.0 25.2 1.5
## 841 27.8 31.9 25.5 2.4
## 842 27.6 30.9 23.8 3.0
## 843 28.0 31.4 24.7 13.3
## 844 28.1 31.0 24.8 1.0
## 845 27.1 30.9 24.3 10.0
## 846 27.6 29.8 25.1 NA
## 847 28.2 31.9 25.4 0.2
## 848 28.9 32.5 26.1 0.0
## 849 29.1 33.1 26.1 0.0
## 850 27.9 32.4 24.1 0.0
## 851 28.6 33.0 24.1 22.0
## 852 28.7 32.0 24.8 0.0
## 853 28.3 31.8 24.7 12.5
## 854 28.3 32.4 25.7 0.5
## 855 28.7 32.1 25.4 0.0
## 856 28.6 32.3 25.4 2.0
## 857 27.8 31.7 24.2 0.0
## 858 27.3 32.1 24.1 7.0
## 859 26.2 31.0 23.7 18.0
## 860 28.3 33.1 26.4 1.9
## 861 29.2 32.7 25.4 NA
## 862 27.7 31.7 24.3 0.0
## 863 27.6 31.7 24.9 19.0
## 864 27.9 31.1 24.6 0.0
## 865 26.7 33.3 24.4 67.0
## 866 29.0 32.7 25.4 0.0
## 867 28.6 32.8 24.6 0.0
## 868 26.4 33.4 24.3 0.0
## 869 27.9 32.4 25.0 4.0
## 870 29.0 32.8 25.7 0.0
## 871 29.1 32.0 24.7 0.0
## 872 28.3 33.3 24.3 8.0
## 873 29.4 32.8 25.9 0.0
## 874 28.1 32.0 24.4 25.1
## 875 28.7 31.4 25.4 0.4
## 876 29.0 32.5 25.0 0.1
## 877 28.9 32.4 23.2 NA
## 878 27.6 31.7 22.1 26.5
## 879 27.8 32.1 25.1 0.0
## 880 27.0 32.8 24.5 NA
## 881 26.5 31.9 22.4 NA
## 882 26.0 32.3 23.7 38.0
## 883 27.3 31.7 24.6 5.6
## 884 28.7 33.0 24.7 0.0
## 885 28.7 32.3 25.4 NA
## 886 28.4 31.0 26.4 0.0
## 887 27.9 31.0 24.3 0.0
## 888 27.2 30.4 24.1 NA
## 889 27.3 31.8 23.4 3.7
## 890 27.0 32.2 24.2 NA
## 891 27.9 32.1 24.1 0.0
## 892 28.1 31.8 24.9 0.0
## 893 26.8 29.2 24.9 1.0
## 894 26.1 32.7 23.4 9.6
## 895 26.6 31.6 23.8 0.5
## 896 27.0 31.0 23.3 26.3
## 897 27.1 30.3 24.5 2.3
## 898 28.4 32.5 25.3 NA
## 899 28.2 32.1 24.4 3.0
## 900 27.7 32.6 23.2 133.0
## 901 28.5 31.5 24.4 0.0
## 902 27.4 30.1 23.2 1.0
## 903 27.2 32.1 23.2 104.0
## 904 27.7 31.3 24.5 4.0
## 905 27.5 32.1 24.6 0.6
## 906 28.4 32.0 24.8 0.0
## 907 29.2 32.0 24.4 0.0
## 908 27.5 32.4 24.7 NA
## 909 25.9 32.1 23.1 118.1
## 910 26.4 31.5 23.3 46.0
## 911 27.3 31.4 23.1 30.5
## 912 27.6 31.4 24.1 0.0
## 913 26.9 32.9 23.3 21.0
## 914 27.1 32.2 23.3 4.0
## 915 27.3 31.6 22.4 0.0
## 916 27.6 31.6 22.0 7.0
## 917 28.2 32.6 24.0 0.0
## 918 27.6 31.1 22.6 0.0
## 919 25.7 29.5 22.6 14.0
## 920 25.7 31.0 22.4 28.5
## 921 25.3 30.6 22.3 43.0
## 922 26.8 30.6 24.1 0.0
## 923 25.8 28.2 24.1 2.0
## 924 27.2 31.0 25.2 5.0
## 925 26.9 30.1 24.3 1.0
## 926 27.7 31.9 24.8 0.6
## 927 28.1 31.1 24.9 0.0
## 928 26.2 31.2 24.3 18.0
## 929 28.0 31.8 24.6 NA
## 930 28.3 31.3 24.4 2.5
## 931 27.1 30.1 23.3 0.2
## 932 26.2 31.1 23.3 32.6
## 933 27.1 30.5 24.6 0.2
## 934 27.1 30.1 24.4 0.0
## 935 27.0 31.7 24.4 15.0
## 936 26.4 30.4 24.0 6.3
## 937 27.0 29.9 23.8 9.0
## 938 27.0 32.2 24.0 53.4
## 939 27.6 31.5 24.8 0.2
## 940 28.7 33.1 25.4 2.0
## 941 27.5 31.4 24.6 2.0
## 942 27.5 31.0 24.9 0.0
## 943 27.9 31.6 25.1 0.0
## 944 28.1 32.9 24.8 0.0
## 945 28.5 32.1 24.5 0.0
## 946 27.4 30.6 23.1 16.0
## 947 27.8 32.6 25.8 NA
## 948 28.0 32.2 25.0 0.0
## 949 27.7 30.9 24.9 0.0
## 950 27.1 31.8 25.3 6.0
## 951 27.4 30.7 24.7 0.1
## 952 27.2 32.4 24.8 0.5
## 953 26.9 31.3 24.0 0.1
## 954 26.0 30.8 23.5 29.3
## 955 26.2 30.1 23.0 1.0
## 956 25.8 31.2 23.2 21.0
## 957 28.9 33.4 24.4 0.1
## 958 26.8 32.7 23.3 0.0
## 959 26.4 30.6 22.7 4.0
## 960 26.9 31.8 23.7 1.0
## 961 27.2 30.9 23.1 2.0
## 962 26.7 30.9 23.3 86.3
## 963 27.0 31.4 23.3 40.2
## 964 27.6 31.0 24.5 0.0
## 965 27.4 31.8 24.6 NA
## 966 26.8 30.7 23.1 0.2
## 967 24.3 30.4 22.9 20.2
## 968 26.9 30.8 23.8 29.3
## 969 26.5 32.0 23.9 13.8
## 970 26.7 30.7 23.9 0.6
## 971 26.3 29.4 24.2 4.1
## 972 27.4 32.3 24.7 0.5
## 973 27.8 32.8 24.9 0.4
## 974 28.5 32.2 25.4 0.0
## 975 27.9 31.7 24.1 0.0
## 976 26.1 30.1 23.0 52.0
## 977 26.4 31.0 23.6 54.0
## 978 27.2 32.3 24.4 27.3
## 979 26.7 33.0 23.4 66.0
## 980 27.2 32.1 24.0 0.0
## 981 26.5 30.9 24.0 3.0
## 982 26.4 30.3 22.2 0.0
## 983 26.5 31.3 22.2 42.0
## 984 27.8 30.7 24.4 0.3
## 985 26.4 32.5 24.4 24.0
## 986 27.0 31.4 24.9 NA
## 987 27.2 31.2 25.1 4.0
## 988 27.4 31.5 25.0 5.3
## 989 27.5 29.6 25.2 2.0
## 990 27.9 32.3 24.7 4.0
## 991 27.7 31.7 24.7 6.0
## 992 27.8 32.0 24.4 34.5
## 993 27.4 32.5 24.4 2.0
## 994 28.4 32.5 25.0 5.0
## 995 27.4 31.8 24.4 4.1
## 996 27.3 32.1 24.4 8.0
## 997 27.2 31.4 23.4 0.0
## 998 26.7 31.1 22.5 NA
## 999 27.0 31.1 24.0 26.5
## 1000 28.0 32.0 25.0 0.5
## 1001 27.3 31.3 25.0 1.4
## 1002 28.2 30.7 23.3 0.0
## 1003 26.4 33.0 23.3 5.0
## 1004 29.5 32.5 24.8 0.0
## 1005 27.9 32.0 24.1 2.0
## 1006 27.1 30.6 24.4 0.0
## 1007 26.8 30.1 25.0 0.0
## 1008 26.7 31.7 24.2 17.5
## 1009 27.3 30.9 23.8 0.0
## 1010 26.8 30.8 23.7 33.6
## 1011 27.1 31.0 24.9 0.0
## 1012 27.7 32.6 25.3 11.3
## 1013 28.3 32.4 24.7 38.0
## 1014 29.0 32.1 24.6 0.0
## 1015 28.1 31.9 23.8 0.0
## 1016 26.5 31.4 24.1 9.0
## 1017 27.3 32.0 24.9 39.0
## 1018 27.9 31.2 24.8 2.0
## 1019 27.1 29.4 23.8 NA
## 1020 27.7 32.4 23.2 25.0
## 1021 27.3 31.6 23.1 7.3
## 1022 27.3 30.0 23.8 0.7
## 1023 26.2 31.0 23.8 26.3
## 1024 27.3 30.4 25.3 6.6
## 1025 27.8 32.4 25.1 13.0
## 1026 27.4 32.0 25.4 NA
## 1027 28.2 32.0 25.5 5.0
## 1028 27.1 32.2 24.7 17.0
## 1029 28.1 31.9 25.4 0.0
## 1030 27.4 31.7 23.9 9.0
## 1031 28.0 31.8 23.9 32.4
## 1032 27.6 31.3 25.1 1.5
## 1033 27.6 30.9 23.7 NA
## 1034 27.3 33.1 23.7 54.0
## 1035 28.1 31.8 24.2 0.0
## 1036 27.1 31.7 23.6 0.0
## 1037 26.6 31.7 24.2 29.5
## 1038 28.2 32.2 24.3 1.6
## 1039 28.1 31.8 24.3 11.0
## 1040 27.4 31.4 24.9 0.8
## 1041 27.6 32.1 24.5 0.8
## 1042 28.8 32.2 25.8 3.5
## 1043 27.9 31.4 23.4 19.8
## 1044 26.6 30.8 23.4 2.7
## 1045 27.2 30.4 24.5 68.2
## 1046 28.8 32.7 26.3 0.2
## 1047 28.7 32.7 23.9 41.0
## 1048 28.7 32.4 24.4 0.0
## 1049 27.9 32.4 24.4 7.0
## 1050 29.4 32.0 25.6 17.0
## 1051 28.3 33.2 25.1 NA
## 1052 29.2 32.0 26.0 0.0
## 1053 29.4 32.0 25.6 0.0
## 1054 28.5 31.4 25.4 0.0
## 1055 27.1 31.9 23.9 50.0
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## 1057 29.0 31.9 26.3 10.5
## 1058 27.9 30.4 24.9 0.4
## 1059 28.3 31.9 24.9 0.6
## 1060 27.9 31.6 25.4 7.0
## 1061 28.8 31.2 24.6 0.0
## 1062 26.1 30.4 22.9 0.0
## 1063 25.6 30.2 22.6 31.0
## 1064 28.2 31.0 23.9 NA
## 1065 27.9 31.0 23.5 15.0
## 1066 27.9 30.4 24.1 82.5
## 1067 28.1 30.7 25.7 0.0
## 1068 28.1 30.9 24.1 12.0
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## 1070 27.6 30.8 24.6 0.0
## 1071 28.1 31.4 23.0 17.0
## 1072 26.0 30.9 23.3 0.1
## 1073 26.9 31.7 24.3 72.0
## 1074 27.0 30.8 24.4 NA
## 1075 26.2 28.7 24.0 0.5
## 1076 26.7 29.9 23.2 16.0
## 1077 28.6 31.3 26.0 0.0
## 1078 28.7 32.3 25.2 0.0
## 1079 28.1 30.7 25.1 14.0
## 1080 27.3 30.6 24.3 NA
## 1081 26.0 30.6 23.9 2.4
## 1082 27.0 31.8 24.0 63.0
## 1083 27.7 31.1 24.0 NA
## 1084 26.9 30.5 24.0 2.0
## 1085 26.8 30.9 24.1 47.0
## 1086 27.9 32.0 25.0 8.2
## 1087 28.1 31.2 23.8 0.0
## 1088 27.1 30.6 23.7 67.0
## 1089 27.6 30.8 25.3 NA
## 1090 27.1 30.6 24.5 2.2
## 1091 25.8 29.8 23.5 35.0
## 1092 26.6 30.0 24.6 NA
## 1093 26.5 28.8 23.5 20.0
## 1094 26.8 30.1 24.3 58.0
## 1095 27.4 29.7 24.8 9.0
## 1096 27.4 30.7 24.4 2.0
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## 1098 27.6 31.0 24.1 9.0
## 1099 26.3 29.8 24.4 5.5
## 1100 26.2 29.1 24.1 59.0
## 1101 27.1 29.5 23.8 NA
## 1102 26.5 29.4 24.6 2.4
## 1103 25.7 29.4 24.4 13.5
## 1104 26.7 28.9 24.1 2.0
## 1105 26.3 28.4 24.1 52.0
## 1106 26.5 29.3 23.4 26.3
## 1107 27.4 31.2 24.8 NA
## 1108 27.1 30.6 23.1 5.0
## 1109 26.4 29.8 24.2 65.0
## 1110 27.2 29.0 23.4 0.5
## 1111 27.1 31.0 23.4 16.0
## 1112 27.1 31.8 23.4 42.0
## 1113 NA NA NA 0.0
## 1114 27.1 30.6 24.9 0.0
## 1115 27.5 29.8 23.8 66.0
## 1116 26.9 30.9 23.6 7.0
## 1117 28.5 32.1 25.3 52.0
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## 1121 28.6 30.8 23.6 0.0
## 1122 27.0 30.5 24.0 29.0
## 1123 28.3 31.0 26.1 0.0
## 1124 28.1 30.4 25.6 NA
## 1125 26.8 30.4 24.1 8.5
## 1126 28.1 30.4 25.0 6.0
## 1127 27.7 30.9 24.9 NA
## 1128 28.8 30.7 26.0 0.0
## 1129 28.7 30.2 26.6 0.0
## 1130 28.7 31.3 25.6 0.0
## 1131 28.4 30.0 25.4 0.0
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## 1134 28.3 30.7 25.3 0.0
## 1135 28.3 30.1 24.7 0.0
## 1136 28.2 30.6 24.3 0.0
## 1137 26.5 29.7 24.3 NA
## 1138 28.2 30.6 23.4 7.0
## 1139 28.8 31.1 25.8 0.0
## 1140 28.5 31.1 25.3 0.0
## 1141 27.6 30.0 24.2 NA
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## 1143 25.7 27.3 24.0 18.8
## 1144 25.7 28.7 24.3 2.0
## 1145 26.8 30.9 24.5 11.3
## 1146 26.9 31.2 24.6 0.0
## 1147 26.8 29.7 24.6 2.0
## 1148 27.5 30.3 24.2 36.3
## 1149 26.9 30.3 24.1 0.0
## 1150 25.4 28.2 23.6 3.4
## 1151 26.8 31.8 24.5 16.6
## 1152 27.3 30.0 25.1 NA
## 1153 27.8 29.8 25.7 2.0
## 1154 27.6 29.2 25.3 NA
## 1155 26.8 30.6 24.3 14.3
## 1156 26.5 28.4 25.2 14.9
## 1157 27.1 30.6 25.2 14.0
## 1158 27.2 30.7 24.1 0.7
## 1159 26.8 31.0 24.1 10.2
## 1160 27.1 32.7 23.9 13.5
## 1161 27.9 30.7 23.9 0.7
## 1162 28.2 30.7 24.7 6.0
## 1163 27.6 30.4 24.4 NA
## 1164 25.2 31.3 23.3 15.0
## 1165 27.4 31.3 23.8 3.0
## 1166 27.3 31.0 24.2 0.0
## 1167 27.6 32.4 22.3 26.0
## 1168 27.6 31.9 24.8 0.0
## 1169 28.1 31.4 25.1 0.0
## 1170 27.2 30.9 24.5 1.0
## 1171 27.1 31.9 24.7 9.0
## 1172 28.6 31.9 25.3 0.0
## 1173 27.2 31.5 24.5 NA
## 1174 27.4 31.7 24.5 16.0
## 1175 27.8 31.0 24.4 0.1
## 1176 27.0 30.3 23.6 19.0
## 1177 28.5 31.8 25.0 0.0
## 1178 27.9 31.6 24.7 0.0
## 1179 28.8 32.0 25.0 12.0
## 1180 28.5 31.6 24.6 0.0
## 1181 26.4 30.4 23.6 0.0
## 1182 27.3 30.1 23.8 19.0
## 1183 29.1 31.8 26.4 NA
## 1184 29.6 32.5 26.3 0.0
## 1185 29.2 32.1 25.9 0.0
## 1186 28.5 31.6 24.2 0.0
## 1187 29.0 31.9 24.2 1.0
## 1188 28.2 31.4 24.2 2.8
## 1189 28.8 31.5 25.8 50.8
## 1190 28.6 31.9 25.8 0.0
## 1191 29.1 32.9 26.1 19.0
## 1192 28.9 32.3 26.0 0.0
## 1193 29.1 31.5 25.9 0.0
## 1194 27.2 30.7 24.2 0.0
## 1195 28.4 31.9 25.1 14.0
## 1196 27.7 31.6 23.7 2.0
## 1197 28.3 31.2 24.4 33.0
## 1198 27.6 30.6 25.0 0.0
## 1199 27.5 29.9 25.1 17.8
## 1200 27.3 30.6 25.5 9.0
## 1201 27.5 32.1 25.1 8.0
## 1202 28.3 31.1 25.3 0.0
## 1203 27.7 30.4 25.3 40.0
## 1204 27.3 30.9 25.4 20.2
## 1205 28.6 30.9 24.0 34.0
## 1206 27.6 30.6 25.0 1.0
## 1207 28.0 32.2 25.3 13.0
## 1208 28.6 31.8 25.0 96.0
## 1209 29.1 31.3 25.3 0.0
## 1210 27.3 31.3 24.6 0.0
## 1211 28.0 31.3 25.2 1.5
## 1212 26.5 29.8 24.0 0.2
## 1213 26.3 29.4 23.9 24.0
## 1214 27.5 31.3 24.8 3.0
## 1215 27.6 30.9 24.7 0.3
## 1216 27.6 31.9 24.4 5.0
## 1217 27.9 32.2 24.5 4.0
## 1218 28.3 31.8 24.2 0.0
## 1219 28.0 31.9 24.2 4.2
## 1220 28.8 32.3 25.4 NA
## 1221 27.7 30.6 23.7 0.0
## 1222 27.5 31.9 24.9 8.5
## 1223 28.1 32.0 24.9 NA
## 1224 27.6 31.7 25.4 2.0
## 1225 28.8 31.9 25.4 0.0
## 1226 28.2 31.4 24.6 0.0
## 1227 28.5 31.9 25.3 0.1
## 1228 28.9 31.9 25.3 10.0
## 1229 28.6 31.2 25.1 0.0
## 1230 28.9 31.7 25.3 0.0
## 1231 27.7 31.2 24.8 0.0
## 1232 28.5 31.7 24.5 0.0
## 1233 27.9 32.0 23.0 84.0
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## 1236 27.3 31.5 24.5 1.0
## 1237 27.7 30.4 25.2 0.0
## 1238 28.4 31.6 24.9 0.0
## 1239 27.5 30.6 24.5 1.1
## 1240 27.5 30.2 23.0 6.0
## 1241 26.2 32.4 22.2 14.0
## 1242 26.2 32.2 24.6 7.0
## 1243 27.7 31.4 23.8 2.0
## 1244 26.5 32.1 23.7 2.5
## 1245 28.8 32.4 24.3 0.0
## 1246 27.8 32.5 25.0 10.0
## 1247 27.9 32.3 24.0 0.0
## 1248 27.2 33.0 23.9 34.0
## 1249 28.1 32.0 25.5 NA
## 1250 27.7 32.0 25.1 NA
## 1251 27.7 31.4 25.0 0.3
## 1252 27.0 30.3 24.9 1.0
## 1253 27.6 30.6 24.5 0.1
## 1254 26.9 30.2 24.6 NA
## 1255 26.9 30.1 24.4 NA
## 1256 27.1 31.6 24.6 7.0
## 1257 26.9 31.1 24.3 2.5
## 1258 26.4 31.0 23.7 15.4
## 1259 27.3 32.1 24.1 46.0
## 1260 26.4 31.5 23.0 4.0
## 1261 27.6 33.6 24.1 26.0
## 1262 27.6 32.1 23.8 0.3
## 1263 28.2 32.1 24.1 1.4
## 1264 28.0 32.1 24.4 0.0
## 1265 29.4 31.9 25.7 0.0
## 1266 27.1 31.3 24.1 0.1
## 1267 26.4 32.9 23.3 41.5
## 1268 27.9 31.9 24.8 0.0
## 1269 27.6 32.1 24.5 0.0
## 1270 27.4 31.0 23.2 0.0
## 1271 25.3 30.5 23.1 19.8
## 1272 26.7 32.1 23.4 28.0
## 1273 28.5 32.7 24.3 0.0
## 1274 28.3 32.8 24.3 0.0
## 1275 27.5 30.4 24.0 NA
## 1276 27.3 30.8 24.5 1.0
## 1277 27.6 33.0 23.1 7.5
## 1278 27.0 31.9 22.7 32.0
## 1279 27.4 32.2 25.2 4.0
## 1280 28.4 32.7 24.4 0.0
## 1281 28.2 32.4 24.8 0.2
## 1282 28.0 31.7 22.6 5.8
## 1283 28.6 31.6 25.0 0.2
## 1284 28.2 32.1 24.8 0.0
## 1285 26.5 30.8 24.4 26.0
## 1286 26.5 32.2 24.4 24.1
## 1287 28.1 31.1 24.5 5.0
## 1288 27.7 30.6 24.4 0.0
## 1289 27.5 32.1 24.1 0.0
## 1290 26.4 31.1 23.8 0.0
## 1291 26.0 30.3 24.2 16.1
## 1292 27.7 31.6 24.3 20.0
## 1293 27.2 31.2 24.2 0.8
## 1294 27.0 30.7 22.2 0.0
## 1295 25.2 32.2 22.4 25.0
## 1296 26.6 31.4 24.4 NA
## 1297 28.0 32.4 24.8 6.0
## 1298 29.1 31.9 26.1 NA
## 1299 28.5 31.5 25.1 4.0
## 1300 27.9 31.1 24.6 6.2
## 1301 27.8 31.6 24.8 3.0
## 1302 28.2 32.1 25.0 3.0
## 1303 27.1 31.1 23.9 6.2
## 1304 27.0 31.1 24.6 2.0
## 1305 26.0 31.1 23.4 43.7
## 1306 28.3 32.0 24.7 0.3
## 1307 27.6 31.3 24.5 0.0
## 1308 28.1 32.1 24.9 0.0
## 1309 27.8 32.0 24.9 4.0
## 1310 27.2 30.4 24.0 0.0
## 1311 28.1 31.9 24.2 0.0
## 1312 26.4 31.9 24.2 32.0
## 1313 27.7 31.0 24.0 1.0
## 1314 27.0 29.4 24.5 NA
## 1315 26.4 28.3 24.7 0.8
## 1316 27.3 31.4 23.8 4.3
## 1317 26.8 29.8 23.2 3.2
## 1318 26.5 31.4 22.8 27.6
## 1319 28.7 32.4 25.8 0.0
## 1320 28.8 30.8 25.7 0.0
## 1321 28.5 31.3 24.7 0.6
## 1322 26.7 30.7 23.2 0.0
## 1323 27.3 32.1 24.4 3.3
## 1324 27.3 32.1 24.4 0.4
## 1325 26.9 31.7 24.0 7.0
## 1326 27.8 31.8 24.5 3.4
## 1327 27.2 30.7 24.4 23.0
## 1328 27.3 30.2 25.4 12.0
## 1329 27.9 32.2 25.0 0.0
## 1330 27.8 32.2 24.1 22.0
## 1331 27.3 30.9 24.0 24.0
## 1332 26.8 31.4 24.0 68.0
## 1333 27.9 31.3 25.2 0.0
## 1334 27.3 30.7 23.5 0.0
## 1335 26.9 32.4 23.5 6.5
## 1336 27.3 31.8 23.9 NA
## 1337 27.5 31.3 23.7 5.0
## 1338 27.5 31.3 23.4 35.0
## 1339 27.4 31.3 24.1 5.0
## 1340 26.6 30.1 23.8 39.0
## 1341 27.7 31.0 25.4 NA
## 1342 27.5 30.1 24.0 1.0
## 1343 26.8 31.6 23.5 11.1
## 1344 27.3 30.4 24.6 0.0
## 1345 26.7 30.2 24.7 0.0
## 1346 27.1 30.7 24.7 3.0
## 1347 26.7 32.3 24.8 12.0
## 1348 28.0 31.4 25.3 4.0
## 1349 27.4 31.1 23.7 5.2
## 1350 28.1 31.0 24.8 8.0
## 1351 28.1 30.1 25.0 0.0
## 1352 26.6 29.1 24.2 14.0
## 1353 27.1 31.0 24.1 22.0
## 1354 27.0 32.4 24.0 41.5
## 1355 27.8 31.4 24.4 37.3
## 1356 28.1 32.0 24.8 0.7
## 1357 27.4 30.7 23.7 NA
## 1358 24.9 30.5 22.7 4.0
## 1359 27.7 31.9 22.7 67.0
## 1360 26.6 32.0 24.3 7.2
## 1361 27.3 32.2 23.5 84.2
## 1362 28.1 31.5 25.0 18.0
## 1363 28.4 30.6 25.4 4.0
## 1364 28.4 32.6 25.7 3.0
## 1365 29.3 33.4 25.4 4.0
## 1366 28.8 33.0 25.6 0.0
## 1367 27.4 32.4 24.8 4.0
## 1368 27.8 31.8 24.8 0.0
## 1369 26.4 32.4 24.2 12.0
## 1370 26.9 31.0 24.0 15.0
## 1371 26.7 32.4 23.3 115.0
## 1372 26.5 31.3 24.4 6.0
## 1373 26.6 28.7 24.0 31.0
## 1374 27.1 31.8 23.4 57.2
## 1375 27.9 32.2 25.0 NA
## 1376 26.7 31.0 24.0 0.0
## 1377 26.7 31.6 24.4 15.0
## 1378 27.1 30.3 25.6 0.0
## 1379 27.6 32.2 25.5 2.1
## 1380 27.6 32.4 25.1 NA
## 1381 28.4 32.2 23.6 8.0
## 1382 28.1 33.1 23.2 20.0
## 1383 28.7 32.3 25.4 0.0
## 1384 28.4 32.1 25.4 0.0
## 1385 28.3 32.4 25.5 5.0
## 1386 27.5 31.6 24.5 1.6
## 1387 28.3 32.7 26.4 5.0
## 1388 29.1 32.5 25.3 0.0
## 1389 28.5 32.9 24.9 0.0
## 1390 28.4 31.7 25.4 0.0
## 1391 29.5 32.6 26.5 0.0
## 1392 28.9 31.7 23.4 0.0
## 1393 27.9 32.7 23.0 36.0
## 1394 26.4 32.7 23.0 19.0
## 1395 27.3 32.7 23.9 70.0
## 1396 28.9 32.8 25.1 0.0
## 1397 28.3 32.6 25.1 0.0
## 1398 27.6 30.9 24.8 0.0
## 1399 27.3 29.8 24.4 8.4
## 1400 27.4 30.4 23.5 7.0
## 1401 27.7 31.9 23.3 14.0
## 1402 27.6 31.9 24.4 0.0
## 1403 28.0 30.4 25.7 0.0
## 1404 28.4 32.7 25.4 2.0
## 1405 27.8 31.8 25.3 NA
## 1406 29.0 33.0 26.0 0.0
## 1407 29.0 32.8 25.4 NA
## 1408 28.8 31.4 25.8 0.8
## 1409 29.2 31.4 26.0 0.0
## 1410 28.8 31.3 26.2 0.0
## 1411 28.3 30.8 25.1 0.0
## 1412 27.3 29.9 23.3 2.0
## 1413 27.0 31.3 22.9 34.0
## 1414 26.8 30.0 24.2 25.2
## 1415 26.1 30.1 24.2 23.3
## 1416 27.0 30.1 23.6 2.0
## 1417 26.5 32.3 23.9 10.0
## 1418 28.3 32.0 25.0 NA
## 1419 26.6 31.0 24.3 67.0
## 1420 28.0 31.4 25.0 74.0
## 1421 27.6 30.3 25.1 0.2
## 1422 27.1 31.0 24.9 5.2
## 1423 27.5 30.9 24.0 36.0
## 1424 27.5 30.9 24.5 0.0
## 1425 27.6 30.7 24.6 4.0
## 1426 28.0 30.3 26.4 1.4
## 1427 28.5 31.0 26.0 NA
## 1428 28.4 30.9 25.6 0.0
## 1429 28.1 30.9 24.7 NA
## 1430 28.1 31.2 24.1 30.0
## 1431 27.7 31.9 25.0 1.6
## 1432 28.1 31.6 24.2 0.0
## 1433 27.1 30.4 23.6 2.5
## 1434 26.9 30.8 23.8 27.0
## 1435 27.8 31.0 23.6 24.0
## 1436 27.8 31.9 24.1 18.2
## 1437 28.2 31.8 25.1 0.0
## 1438 26.3 30.9 23.8 32.0
## 1439 27.4 30.5 24.2 44.7
## 1440 28.2 32.2 23.9 10.0
## 1441 27.2 30.7 25.0 1.6
## 1442 27.9 31.9 25.3 0.5
## 1443 28.1 31.4 25.5 1.0
## 1444 29.0 31.3 25.8 NA
## 1445 28.5 31.1 25.0 0.0
## 1446 28.5 30.9 25.6 0.0
## 1447 28.5 30.4 24.4 0.0
## 1448 26.8 30.1 23.4 63.8
## 1449 27.3 31.2 24.9 4.0
## 1450 26.6 30.0 24.1 3.0
## 1451 27.3 30.9 23.8 65.1
## 1452 27.4 30.6 24.8 0.0
## 1453 27.6 31.2 24.9 20.0
## 1454 27.4 30.4 24.7 2.0
## 1455 25.7 28.5 24.2 7.4
## 1456 26.5 30.4 24.1 58.0
## 1457 27.1 30.2 24.7 3.0
## 1458 27.5 30.4 25.0 8.0
## 1459 27.1 31.7 25.1 4.5
## 1460 27.7 31.0 24.8 32.0
## 1461 26.9 29.2 22.6 57.0
## 1462 27.9 31.4 24.7 22.0
## 1463 28.1 30.2 25.0 0.4
## 1464 28.1 31.3 25.1 11.0
## 1465 28.4 31.4 24.7 NA
## 1466 28.4 31.2 25.1 NA
## 1467 28.7 30.8 24.5 0.0
## 1468 27.9 30.4 24.5 0.5
## 1469 28.3 31.6 24.5 0.0
## 1470 29.0 31.5 26.7 0.0
## 1471 28.2 31.1 25.0 0.0
## 1472 28.0 30.6 24.7 NA
## 1473 28.0 30.3 23.6 NA
## 1474 27.2 30.8 24.1 60.0
## 1475 27.9 30.1 24.6 6.0
## 1476 27.4 30.2 24.4 29.0
## 1477 27.1 29.4 23.4 6.0
## 1478 28.1 31.8 22.8 43.0
## 1479 28.8 32.0 25.3 0.0
## 1480 27.4 31.4 23.9 0.0
## 1481 27.9 31.0 25.0 1.2
## 1482 27.5 31.0 25.2 2.0
## 1483 26.6 30.6 24.9 3.8
## 1484 28.8 31.6 26.4 0.2
## 1485 28.5 31.2 25.7 0.0
## 1486 27.3 30.1 24.9 0.0
## 1487 26.5 31.5 22.2 27.0
## 1488 27.8 30.4 25.2 0.0
## 1489 26.2 30.9 24.6 34.0
## 1490 26.8 29.5 24.9 0.0
## 1491 27.2 29.6 24.0 3.0
## 1492 26.1 29.1 23.7 30.3
## 1493 27.9 29.4 25.0 0.0
## 1494 27.9 30.2 24.9 0.0
## 1495 28.0 31.1 25.0 NA
## 1496 27.7 30.9 23.9 7.4
## 1497 25.6 28.7 23.3 114.0
## 1498 26.0 27.2 23.8 34.0
## 1499 26.5 30.2 23.7 58.4
## 1500 26.3 29.9 23.4 40.9
## 1501 26.9 29.8 24.2 17.3
## 1502 27.3 29.7 24.7 2.0
## 1503 28.1 29.8 23.8 NA
## 1504 28.1 31.0 24.0 36.0
## 1505 26.3 30.2 23.8 7.0
## 1506 27.4 31.7 24.5 6.0
## 1507 26.8 30.9 24.4 0.0
## 1508 26.5 29.4 24.1 9.0
## 1509 25.3 29.4 23.6 11.0
## 1510 27.3 30.6 24.8 12.0
## 1511 25.6 29.3 23.5 18.0
## 1512 26.5 30.6 24.2 2.0
## 1513 27.6 29.9 25.1 1.4
## 1514 26.6 29.6 24.6 2.1
## 1515 26.7 30.0 24.4 43.0
## 1516 27.3 30.1 24.4 0.0
## 1517 26.1 29.3 23.4 1.8
## 1518 26.1 27.9 24.5 9.0
## 1519 27.2 30.4 24.0 4.7
## 1520 27.3 29.9 23.3 66.0
## 1521 26.9 30.4 24.0 93.0
## 1522 27.9 30.4 24.4 17.0
## 1523 27.1 30.5 24.3 1.2
## 1524 27.1 30.5 24.0 0.0
## 1525 25.9 29.7 23.2 4.0
## 1526 26.0 29.3 23.4 57.0
## 1527 25.4 28.4 23.6 2.0
## 1528 26.3 29.4 23.5 127.2
## 1529 26.5 29.4 24.0 8.3
## 1530 27.9 30.2 25.6 6.0
## 1531 26.9 29.8 24.9 0.5
## 1532 27.1 30.7 25.1 NA
## 1533 27.1 29.8 24.5 0.0
## 1534 26.5 29.2 24.6 27.2
## 1535 27.6 31.3 25.3 3.0
## 1536 27.4 32.3 24.0 54.0
## 1537 28.9 31.1 25.2 NA
## 1538 28.1 30.7 24.6 0.0
## 1539 26.9 31.4 23.9 31.3
## 1540 28.6 32.4 24.6 6.0
## 1541 29.0 31.4 25.7 4.0
## 1542 29.1 31.2 25.6 0.0
## 1543 28.4 30.9 25.3 0.0
## 1544 28.8 31.2 25.7 2.0
## 1545 27.9 30.4 25.2 0.2
## 1546 28.0 30.8 24.9 0.6
## 1547 26.4 31.4 23.2 327.7
## 1548 28.2 30.4 25.2 0.8
## 1549 27.8 31.3 23.7 121.0
## 1550 27.8 32.0 24.7 0.2
## 1551 27.7 31.7 24.3 0.6
## 1552 28.8 30.8 25.4 0.0
## 1553 27.8 31.0 24.5 11.0
## 1554 27.6 31.8 25.0 0.2
## 1555 28.0 30.9 26.1 0.0
## 1556 27.3 30.9 22.9 53.5
## 1557 27.9 31.3 25.1 8.5
## 1558 29.2 33.3 26.0 0.5
## 1559 28.4 33.2 25.5 0.4
## 1560 28.9 32.0 26.4 0.1
## 1561 28.4 32.0 24.5 0.0
## 1562 26.9 31.1 24.5 NA
## 1563 26.9 32.7 24.9 52.0
## 1564 29.0 31.6 25.1 0.0
## 1565 27.4 31.2 24.3 0.0
## 1566 26.3 31.7 24.8 23.0
## 1567 26.9 30.3 25.2 6.0
## 1568 27.3 29.7 25.2 0.0
## 1569 28.8 31.6 24.3 118.0
## 1570 28.8 32.6 25.2 87.0
## 1571 28.8 33.0 24.8 1.0
## 1572 28.7 32.3 25.1 3.0
## 1573 29.8 31.8 27.6 0.0
## 1574 28.3 31.4 24.5 0.0
## 1575 26.7 31.5 25.0 6.0
## 1576 28.2 32.3 25.0 25.2
## 1577 29.1 33.4 26.4 10.0
## 1578 29.3 32.6 26.3 NA
## 1579 29.3 32.6 26.1 0.0
## 1580 28.8 31.8 26.3 0.0
## 1581 28.4 30.6 25.6 0.0
## 1582 27.0 31.1 25.0 NA
## 1583 27.5 31.1 25.6 NA
## 1584 26.4 31.1 24.0 12.0
## 1585 27.4 31.0 24.0 12.0
## 1586 27.2 30.8 25.0 0.0
## 1587 27.5 32.2 24.1 30.0
## 1588 28.2 31.7 23.6 0.0
## 1589 26.8 31.2 24.1 18.0
## 1590 27.5 33.2 24.5 10.7
## 1591 28.3 32.4 25.2 0.0
## 1592 28.5 32.5 24.8 0.0
## 1593 28.5 32.4 24.6 0.0
## 1594 27.4 30.2 24.4 0.0
## 1595 27.1 31.4 24.4 15.0
## 1596 28.5 33.6 25.0 31.4
## 1597 29.0 33.0 25.0 0.1
## 1598 29.0 32.8 25.2 0.0
## 1599 28.5 33.0 24.8 0.0
## 1600 28.8 31.6 25.4 0.0
## 1601 26.9 31.9 24.0 NA
## 1602 27.4 31.1 25.2 147.0
## 1603 27.5 30.1 22.9 3.0
## 1604 26.9 31.2 24.9 2.0
## 1605 27.8 31.9 25.2 0.0
## 1606 27.2 30.3 24.2 14.2
## 1607 27.0 31.0 24.3 77.8
## 1608 28.0 30.6 25.1 0.5
## 1609 28.3 31.6 25.5 3.0
## 1610 28.6 31.9 25.4 0.0
## 1611 29.0 33.9 25.5 0.0
## 1612 28.8 32.7 25.6 0.0
## 1613 27.6 31.2 23.9 0.0
## 1614 26.0 31.2 22.4 132.0
## 1615 27.5 29.9 24.5 0.0
## 1616 27.5 31.9 24.5 30.0
## 1617 28.6 31.4 25.7 NA
## 1618 27.7 32.4 23.6 66.0
## 1619 28.6 32.4 25.8 NA
## 1620 28.1 32.5 25.1 0.0
## 1621 27.9 30.9 24.4 10.0
## 1622 27.8 32.0 23.1 30.0
## 1623 27.7 30.9 24.0 0.0
## 1624 27.7 32.1 23.5 0.0
## 1625 26.2 31.0 23.5 14.3
## 1626 28.0 31.7 24.3 0.5
## 1627 28.6 33.2 25.4 0.0
## 1628 28.5 33.0 24.6 0.0
## 1629 28.6 32.1 24.4 0.0
## 1630 28.4 31.8 25.1 NA
## 1631 28.0 31.1 25.0 13.0
## 1632 28.6 32.4 26.1 NA
## 1633 28.7 32.3 26.0 0.0
## 1634 28.7 32.5 25.6 2.0
## 1635 28.5 31.5 25.5 0.0
## 1636 28.2 32.2 25.0 NA
## 1637 28.2 31.9 26.1 0.0
## 1638 26.3 30.4 23.4 2.0
## 1639 27.5 30.3 24.4 NA
## 1640 25.9 28.8 23.9 29.0
## 1641 26.6 30.9 24.1 8.0
## 1642 27.5 32.4 24.4 70.0
## 1643 28.7 33.1 25.1 0.0
## 1644 29.4 34.0 26.3 0.0
## 1645 29.4 33.9 26.0 0.0
## 1646 28.8 32.3 25.3 0.0
## 1647 28.8 32.0 25.9 0.0
## 1648 27.5 31.1 25.0 6.0
## 1649 29.1 32.2 25.3 0.0
## 1650 29.1 33.8 25.1 0.0
## 1651 28.7 33.9 24.8 0.0
## 1652 28.9 32.5 25.2 0.0
## 1653 28.3 32.1 24.8 0.0
## 1654 28.0 32.0 25.2 0.0
## 1655 27.0 30.8 24.6 3.0
## 1656 26.7 29.4 23.2 2.0
## 1657 25.3 31.8 23.3 40.7
## 1658 27.6 32.3 24.9 6.0
## 1659 28.0 32.2 24.1 2.0
## 1660 28.5 32.8 25.4 0.0
## 1661 28.7 33.4 24.2 0.0
## 1662 28.4 32.4 24.9 0.0
## 1663 28.4 32.2 24.9 0.0
## 1664 27.3 31.3 24.1 5.0
## 1665 NA 31.2 NA 108.0
## 1666 27.9 32.0 24.3 0.0
## 1667 26.4 31.0 24.1 54.0
## 1668 27.4 29.8 24.2 6.3
## 1669 27.3 31.4 24.6 68.0
## 1670 28.7 32.1 25.0 0.0
## 1671 28.7 32.4 25.0 0.0
## 1672 28.6 32.2 25.5 0.0
## 1673 27.9 32.0 24.8 0.0
## 1674 26.8 31.0 24.2 0.0
## 1675 26.8 31.3 24.0 0.3
## 1676 27.6 32.4 23.3 63.0
## 1677 28.7 32.1 26.0 1.0
## 1678 28.4 31.6 25.5 6.0
## 1679 27.3 31.2 24.1 6.0
## 1680 28.1 31.8 25.1 14.0
## 1681 28.9 33.9 24.8 0.2
## 1682 28.7 34.3 24.8 0.0
## 1683 28.5 33.8 24.5 0.0
## 1684 28.6 34.1 25.0 0.0
## 1685 29.1 34.0 25.0 0.0
## 1686 29.0 33.3 24.1 0.0
## 1687 27.5 31.7 24.1 8.0
## 1688 27.8 31.9 24.9 NA
## 1689 28.3 31.6 23.9 2.0
## 1690 27.5 30.7 24.4 0.0
## 1691 26.7 31.4 24.5 2.0
## 1692 27.9 31.3 25.0 NA
## 1693 27.1 30.6 24.7 0.0
## 1694 26.6 31.2 23.3 30.0
## 1695 27.5 32.4 24.1 13.0
## 1696 28.5 33.6 24.5 0.0
## 1697 28.4 32.4 24.3 0.0
## 1698 28.2 31.8 24.6 0.0
## 1699 27.8 31.4 24.1 0.0
## 1700 27.2 31.0 24.0 0.0
## 1701 27.0 31.4 24.0 3.0
## 1702 27.1 30.4 24.0 0.0
## 1703 25.8 31.4 24.4 12.5
## 1704 27.9 34.3 24.3 19.0
## 1705 28.7 33.4 24.5 0.6
## 1706 28.8 32.8 24.7 0.0
## 1707 28.4 32.4 24.4 0.0
## 1708 28.2 31.8 24.4 NA
## 1709 27.9 32.7 24.9 0.0
## 1710 28.2 31.2 25.5 0.0
## 1711 27.8 31.7 24.8 3.2
## 1712 28.3 31.3 25.1 4.0
## 1713 27.3 31.4 25.0 24.0
## 1714 27.6 31.2 25.3 0.5
## 1715 27.8 32.2 24.2 23.0
## 1716 28.0 31.4 24.2 0.0
## 1717 27.0 31.4 24.8 3.0
## 1718 27.5 30.2 25.2 0.0
## 1719 26.6 30.8 24.2 NA
## 1720 27.7 30.3 24.0 1.0
## 1721 26.8 30.6 23.9 27.0
## 1722 27.7 31.8 23.6 19.0
## 1723 26.4 30.5 23.3 NA
## 1724 26.5 31.4 23.7 33.7
## 1725 28.1 31.9 24.7 6.2
## 1726 27.6 32.2 25.1 0.0
## 1727 28.0 31.7 25.0 0.0
## 1728 27.7 32.4 25.0 NA
## 1729 28.6 32.7 25.6 NA
## 1730 28.0 32.5 24.4 0.0
## 1731 27.9 30.5 25.9 0.0
## 1732 27.3 29.7 24.8 0.0
## 1733 28.0 33.2 24.1 6.4
## 1734 28.7 33.6 25.8 NA
## 1735 28.9 33.6 25.3 0.0
## 1736 28.6 32.8 26.1 0.4
## 1737 29.1 32.5 25.2 0.0
## 1738 29.5 33.8 25.2 0.0
## 1739 28.7 33.0 25.2 0.0
## 1740 28.0 31.6 25.0 0.0
## 1741 28.3 32.3 25.0 0.0
## 1742 28.4 32.0 23.8 0.8
## 1743 27.9 32.2 23.8 0.0
## 1744 28.2 32.8 25.6 16.0
## 1745 28.4 32.8 25.3 NA
## 1746 28.9 31.7 26.2 0.2
## 1747 29.1 31.6 26.2 NA
## 1748 28.2 32.7 25.1 0.0
## 1749 28.7 32.9 25.6 0.0
## 1750 28.8 32.9 24.6 0.0
## 1751 28.6 31.8 26.6 2.0
## 1752 29.0 32.9 25.0 0.0
## 1753 28.8 31.9 24.9 0.0
## 1754 27.5 31.0 24.7 0.0
## 1755 27.6 30.7 24.4 14.0
## 1756 28.6 31.6 25.5 5.0
## 1757 27.1 31.2 24.0 0.0
## 1758 28.6 31.9 25.8 22.0
## 1759 28.8 31.2 26.2 0.0
## 1760 28.2 31.4 26.4 0.0
## 1761 28.9 31.6 26.2 2.0
## 1762 29.0 31.2 26.5 0.0
## 1763 28.6 31.3 23.4 3.0
## 1764 27.5 31.2 23.5 20.0
## 1765 27.0 30.6 23.3 4.0
## 1766 26.6 31.4 23.0 6.2
## 1767 29.3 32.3 26.5 0.0
## 1768 28.9 31.6 25.6 0.0
## 1769 28.4 31.2 25.6 0.0
## 1770 28.8 30.8 25.0 0.0
## 1771 27.6 30.8 24.2 NA
## 1772 27.6 32.6 23.0 15.2
## 1773 28.5 32.4 23.8 21.0
## 1774 28.7 31.6 25.2 0.0
## 1775 28.4 31.0 25.1 0.0
## 1776 28.4 32.0 25.0 0.1
## 1777 27.6 30.6 25.6 0.0
## 1778 27.1 30.7 24.9 7.0
## 1779 28.0 30.8 24.2 14.0
## 1780 28.0 30.9 24.8 0.0
## 1781 28.0 31.0 24.8 7.0
## 1782 27.5 31.9 24.0 103.0
## 1783 28.7 32.0 25.4 0.0
## 1784 27.8 31.9 23.8 NA
## 1785 27.9 31.4 25.0 37.4
## 1786 28.7 31.6 25.9 0.0
## 1787 28.9 32.2 25.7 0.0
## 1788 28.7 31.3 25.4 0.0
## 1789 28.2 31.3 26.0 NA
## 1790 28.1 30.4 23.9 2.1
## 1791 27.9 31.2 23.9 5.0
## 1792 28.0 31.9 24.1 0.0
## 1793 28.1 30.4 24.1 0.0
## 1794 27.0 29.3 24.1 4.0
## 1795 27.0 30.3 23.5 1.0
## 1796 27.7 30.8 23.4 21.0
## 1797 27.8 30.7 23.2 2.0
## 1798 27.8 31.6 23.3 10.0
## 1799 28.5 31.3 26.1 0.0
## 1800 28.2 30.3 25.2 3.0
## 1801 28.2 31.2 25.8 0.0
## 1802 28.0 31.0 23.0 63.0
## 1803 27.7 30.4 23.8 38.5
## 1804 28.3 32.7 23.9 6.0
## 1805 28.8 31.9 25.7 0.0
## 1806 28.9 32.1 25.6 NA
## 1807 28.6 32.6 25.8 14.0
## 1808 28.5 31.9 25.5 0.0
## 1809 28.0 31.3 25.5 0.0
## 1810 28.3 31.7 24.4 0.0
## 1811 28.1 31.1 24.4 0.0
## 1812 27.8 30.4 24.0 0.0
## 1813 27.2 30.0 23.3 0.0
## 1814 26.8 29.8 23.7 0.0
## 1815 27.8 30.8 26.3 0.0
## 1816 28.0 31.0 26.3 0.0
## 1817 28.3 30.7 24.0 0.0
## 1818 27.8 31.6 25.4 0.0
## 1819 28.2 32.2 27.0 0.0
## 1820 28.2 31.2 25.4 NA
## 1821 27.8 31.2 25.9 0.7
## 1822 28.1 30.5 25.0 0.0
## 1823 28.0 30.3 24.9 0.0
## 1824 27.6 29.8 24.8 0.0
## 1825 27.5 30.8 23.8 0.0
## 1826 28.2 30.8 25.5 0.0
## 1827 28.1 30.8 23.5 4.0
## 1828 27.9 30.5 25.2 0.0
## 1829 27.0 30.8 22.6 0.0
## 1830 27.2 30.3 24.4 0.0
## 1831 27.3 31.0 24.9 0.0
## 1832 27.8 30.4 26.0 0.0
## 1833 28.2 31.0 26.5 0.0
## 1834 28.2 30.9 27.1 0.0
## 1835 27.7 29.8 25.1 1.0
## 1836 27.6 31.2 25.0 0.0
## 1837 28.0 30.8 25.1 0.0
## 1838 27.9 32.4 25.2 NA
## 1839 27.2 29.8 25.3 2.0
## 1840 27.6 30.6 24.3 63.0
## 1841 28.0 30.8 25.9 NA
## 1842 28.0 31.2 25.2 0.0
## 1843 27.8 31.1 24.5 0.0
## 1844 28.0 31.5 26.4 0.0
## 1845 28.3 30.6 25.7 0.0
## 1846 28.0 30.7 26.0 0.0
## 1847 28.2 30.4 26.8 0.0
## 1848 27.4 29.5 24.8 0.0
## 1849 27.2 30.4 25.1 0.0
## 1850 27.5 30.0 25.4 0.0
## 1851 27.7 30.0 25.7 0.0
## 1852 27.5 30.1 25.0 0.0
## 1853 27.3 30.2 24.6 0.0
## 1854 26.8 28.9 24.4 0.0
## 1855 27.0 29.5 23.7 0.0
## 1856 27.7 30.1 23.7 0.0
## 1857 27.7 30.2 25.3 0.2
## 1858 27.8 29.8 25.6 0.0
## 1859 27.6 30.6 23.5 1.0
## 1860 26.9 29.9 22.8 33.0
## 1861 27.7 30.6 24.7 0.0
## 1862 28.1 30.0 23.8 1.0
## 1863 27.4 29.4 24.8 NA
## 1864 27.5 30.6 25.2 0.0
## 1865 27.5 29.8 24.7 10.0
## 1866 27.6 29.9 24.9 0.0
## 1867 27.4 29.3 25.0 0.0
## 1868 27.1 29.6 24.6 7.2
## 1869 27.7 31.0 25.9 5.0
## 1870 27.4 31.4 24.4 0.0
## 1871 27.8 30.6 25.0 0.0
## 1872 27.7 29.9 24.8 0.0
## 1873 27.5 30.3 24.4 1.1
## 1874 27.2 30.2 23.9 0.0
## 1875 26.8 29.6 23.9 0.0
## 1876 27.2 29.4 23.3 9.1
## 1877 26.0 28.9 21.7 174.0
## 1878 26.1 30.3 22.9 0.3
## 1879 26.0 28.9 23.8 0.2
## 1880 26.6 29.8 23.8 6.8
## 1881 27.5 30.6 24.8 0.0
## 1882 27.9 30.3 24.6 0.0
## 1883 28.3 31.6 25.6 NA
## 1884 28.0 30.8 24.3 0.0
## 1885 26.1 29.8 23.1 NA
## 1886 26.4 30.4 23.9 NA
## 1887 28.3 30.3 26.3 NA
## 1888 28.3 30.7 25.6 0.0
## 1889 27.6 30.3 24.1 NA
## 1890 27.4 30.2 24.6 0.0
## 1891 28.0 30.0 25.0 NA
## 1892 28.0 30.6 24.4 7.0
## 1893 27.9 31.0 24.4 6.3
## 1894 28.2 30.7 25.6 0.0
## 1895 28.3 30.7 25.7 0.0
## 1896 28.2 31.1 24.5 3.0
## 1897 27.6 30.3 23.6 11.6
## 1898 27.6 30.3 25.0 29.0
## 1899 27.3 30.6 24.3 0.4
## 1900 27.2 30.5 24.6 0.0
## 1901 27.6 30.5 25.2 2.3
## 1902 26.2 29.8 24.0 NA
## 1903 26.7 29.8 22.8 113.0
## 1904 26.7 29.6 24.7 1.2
## 1905 26.9 30.6 24.8 53.0
## 1906 27.6 30.4 24.7 54.0
## 1907 25.6 28.0 23.8 134.0
## 1908 26.6 28.6 24.8 0.7
## 1909 27.9 30.7 24.2 2.8
## 1910 26.8 30.3 24.4 0.0
## 1911 26.3 28.0 24.4 16.3
## 1912 27.2 30.0 25.0 6.0
## 1913 27.5 30.4 25.3 0.0
## 1914 28.0 30.0 25.2 0.0
## 1915 27.0 30.0 25.1 0.0
## 1916 26.8 29.4 23.6 71.2
## 1917 27.1 30.9 23.0 122.0
## 1918 26.2 29.0 23.8 1.4
## 1919 26.7 30.1 24.1 50.2
## 1920 26.5 29.8 23.5 0.0
## 1921 27.4 30.9 24.0 23.3
## 1922 27.7 32.4 24.4 12.2
## 1923 27.3 31.9 24.5 0.0
## 1924 27.9 30.4 24.0 56.0
## 1925 28.5 31.4 26.3 16.0
## 1926 28.1 31.4 24.7 0.0
## 1927 26.4 30.7 23.8 1.7
## 1928 27.9 31.0 24.3 21.4
## 1929 28.7 31.0 25.7 0.8
## 1930 29.6 32.1 26.9 3.4
## 1931 29.2 33.0 25.8 0.0
## 1932 28.9 31.3 26.6 0.0
## 1933 28.5 31.0 26.2 0.5
## 1934 28.1 32.1 26.3 2.1
## 1935 28.9 32.1 26.5 0.0
## 1936 28.6 31.8 25.2 0.0
## 1937 29.8 32.5 26.6 1.0
## 1938 29.1 32.4 25.6 0.3
## 1939 28.5 31.1 25.9 NA
## 1940 28.2 31.4 25.4 0.0
## 1941 28.4 31.9 25.1 0.0
## 1942 29.1 32.5 26.4 1.5
## 1943 29.2 31.8 25.1 4.0
## 1944 28.3 31.6 25.1 0.0
## 1945 28.7 31.6 26.0 0.0
## 1946 29.4 32.3 25.6 0.0
## 1947 29.4 32.3 25.7 0.0
## 1948 28.0 32.1 23.5 NA
## 1949 26.2 32.2 22.7 23.2
## 1950 28.1 32.1 25.4 0.0
## 1951 28.3 31.2 25.1 0.3
## 1952 27.2 31.1 24.6 0.4
## 1953 27.2 31.2 24.8 1.4
## 1954 27.9 31.6 26.1 NA
## 1955 27.9 30.7 25.1 9.0
## 1956 27.2 30.5 24.8 40.0
## 1957 27.0 30.1 24.9 3.0
## 1958 28.3 32.6 25.3 6.5
## 1959 28.0 31.9 25.1 0.0
## 1960 27.3 31.9 25.3 6.0
## 1961 29.1 32.7 25.4 0.0
## 1962 29.2 32.4 26.0 0.0
## 1963 29.0 33.4 25.3 0.0
## 1964 29.1 32.1 26.0 0.0
## 1965 28.7 32.0 25.4 0.0
## 1966 26.2 31.5 24.7 19.2
## 1967 27.2 32.6 24.5 19.0
## 1968 27.4 32.0 24.6 NA
## 1969 27.0 31.3 25.4 4.4
## 1970 27.9 31.2 25.0 8.0
## 1971 27.8 32.1 24.7 NA
## 1972 28.0 32.0 24.3 5.0
## 1973 27.9 31.1 24.4 0.0
## 1974 27.5 31.1 24.7 3.0
## 1975 26.9 30.9 24.7 NA
## 1976 27.4 31.6 24.4 14.0
## 1977 26.9 30.4 24.3 7.4
## 1978 26.5 29.7 23.6 6.0
## 1979 25.8 30.3 24.4 32.2
## 1980 27.0 30.2 23.1 26.2
## 1981 27.0 32.2 23.9 4.0
## 1982 27.0 29.9 23.9 NA
## 1983 26.1 31.5 24.4 5.9
## 1984 27.7 31.3 24.8 23.0
## 1985 27.6 31.3 25.3 15.0
## 1986 27.2 31.1 23.8 53.0
## 1987 26.0 32.9 22.7 10.1
## 1988 28.2 31.6 25.2 NA
## 1989 28.4 31.6 26.2 NA
## 1990 29.1 33.6 23.9 0.0
## 1991 28.2 32.4 24.1 NA
## 1992 28.1 33.1 22.6 5.0
## 1993 27.9 32.0 24.6 2.0
## 1994 27.5 30.1 24.1 0.0
## 1995 27.2 30.8 23.5 0.0
## 1996 26.4 32.3 23.5 13.0
## 1997 27.6 32.0 24.0 8.0
## 1998 27.0 30.6 24.1 4.0
## 1999 27.7 29.6 25.0 0.1
## 2000 26.8 32.7 23.7 28.0
## 2001 28.2 33.0 23.2 0.0
## 2002 27.5 33.3 23.0 32.0
## 2003 29.0 32.7 26.0 0.0
## 2004 28.2 31.2 24.1 0.0
## 2005 28.8 34.5 24.1 2.0
## 2006 28.9 33.3 25.7 2.0
## 2007 28.6 31.7 25.6 12.0
## 2008 29.0 32.3 24.5 NA
## 2009 28.5 31.6 24.8 0.0
## 2010 28.6 33.3 24.6 0.0
## 2011 28.0 32.3 25.4 NA
## 2012 28.2 33.4 25.0 0.0
## 2013 28.6 31.8 25.1 NA
## 2014 28.5 31.4 25.3 0.0
## 2015 28.3 32.8 25.2 0.0
## 2016 28.8 31.8 25.3 0.0
## 2017 28.7 32.4 24.5 0.0
## 2018 28.5 33.8 24.6 0.0
## 2019 28.7 33.3 25.0 0.0
## 2020 28.5 33.3 24.3 0.0
## 2021 28.8 33.0 25.1 0.0
## 2022 28.2 32.7 24.7 0.0
## 2023 28.0 33.7 23.4 0.0
## 2024 28.1 32.8 24.3 0.0
## 2025 28.6 32.5 24.7 0.0
## 2026 28.5 32.8 24.9 0.0
## 2027 28.4 33.4 24.9 0.0
## 2028 28.3 32.9 25.1 0.0
## 2029 28.5 32.2 25.3 0.0
## 2030 27.3 32.2 24.6 3.0
## 2031 26.9 30.7 25.1 8.9
## 2032 26.8 31.4 25.1 4.0
## 2033 27.9 31.0 25.3 1.0
## 2034 26.7 29.3 23.6 0.0
## 2035 26.9 30.9 23.3 41.0
## 2036 27.3 31.2 24.5 8.5
## 2037 27.3 31.1 24.5 8.0
## 2038 27.9 31.4 25.2 1.0
## 2039 26.7 32.1 23.2 14.0
## 2040 28.1 31.8 24.3 0.0
## 2041 27.5 31.9 24.0 0.0
## 2042 26.5 31.0 22.3 8.5
## 2043 26.5 30.2 22.3 19.0
## 2044 27.1 29.9 25.1 0.0
## 2045 26.5 32.0 23.3 43.0
## 2046 28.3 32.3 25.7 4.0
## 2047 27.7 30.9 23.6 0.2
## 2048 26.1 29.0 23.7 14.0
## 2049 26.3 32.4 23.9 9.2
## 2050 28.1 31.6 24.0 NA
## 2051 27.4 31.7 22.8 37.2
## 2052 28.4 32.3 25.3 0.0
## 2053 27.6 31.2 24.2 0.0
## 2054 26.3 31.2 23.2 16.0
## 2055 26.5 31.3 24.0 54.4
## 2056 26.6 29.6 23.8 0.0
## 2057 26.2 28.7 23.7 8.0
## 2058 26.5 32.2 24.3 12.0
## 2059 28.1 31.9 25.8 0.2
## 2060 28.5 31.7 24.4 0.0
## 2061 26.6 32.0 24.2 44.0
## 2062 28.1 31.2 24.4 0.0
## 2063 28.1 32.6 24.7 26.0
## 2064 28.8 32.1 25.1 0.0
## 2065 28.7 32.9 24.8 0.0
## 2066 28.4 31.7 24.9 0.6
## 2067 27.3 31.9 23.4 55.0
## 2068 27.0 30.9 22.9 4.0
## 2069 26.5 29.9 22.7 13.0
## 2070 29.0 32.6 25.8 0.0
## 2071 29.3 33.6 25.5 0.0
## 2072 29.0 33.4 24.0 0.0
## 2073 28.1 31.5 24.9 0.0
## 2074 27.4 29.8 23.7 0.0
## 2075 27.2 31.4 23.4 65.0
## 2076 27.7 32.0 24.4 1.1
## 2077 28.5 32.3 24.3 0.0
## 2078 28.4 31.8 25.8 0.0
## 2079 28.2 31.4 23.8 4.0
## 2080 26.5 31.0 23.6 6.0
## 2081 27.5 31.8 24.6 NA
## 2082 26.4 31.5 24.0 2.0
## 2083 26.2 30.4 23.8 4.0
## 2084 26.4 30.9 24.6 30.0
## 2085 26.1 32.0 23.2 46.0
## 2086 27.6 31.6 24.7 3.3
## 2087 28.4 32.3 24.4 9.0
## 2088 28.5 33.9 23.0 133.0
## 2089 27.7 32.9 25.1 0.3
## 2090 27.9 31.5 25.9 3.0
## 2091 28.4 32.4 25.6 3.0
## 2092 28.1 30.9 25.1 0.0
## 2093 27.9 32.1 25.0 14.0
## 2094 28.1 31.9 24.7 48.0
## 2095 28.1 31.9 25.2 0.0
## 2096 27.6 31.5 23.9 52.0
## 2097 27.9 31.9 24.3 1.8
## 2098 28.0 31.3 24.3 3.0
## 2099 28.1 31.1 25.5 6.4
## 2100 27.5 31.0 24.0 0.0
## 2101 26.5 32.4 23.8 9.0
## 2102 28.1 31.8 24.2 5.3
## 2103 26.6 32.2 23.7 28.0
## 2104 26.9 31.8 23.3 5.2
## 2105 27.2 31.7 23.4 0.0
## 2106 26.6 32.0 23.6 17.0
## 2107 27.6 30.6 24.9 0.0
## 2108 28.0 32.2 24.6 0.0
## 2109 28.0 30.9 24.8 1.6
## 2110 27.8 31.5 25.2 0.5
## 2111 27.1 32.0 24.9 12.0
## 2112 26.7 32.0 22.9 15.0
## 2113 27.6 30.2 23.0 16.0
## 2114 26.9 31.4 24.1 11.0
## 2115 28.5 32.5 25.2 0.0
## 2116 28.2 32.0 25.2 0.5
## 2117 28.3 32.5 25.3 NA
## 2118 28.8 31.6 24.6 1.0
## 2119 27.4 31.1 25.1 7.0
## 2120 27.8 31.9 25.1 1.8
## 2121 27.7 32.3 25.0 3.0
## 2122 27.9 31.5 25.1 0.8
## 2123 27.5 30.5 24.9 1.0
## 2124 27.4 31.6 24.7 4.5
## 2125 27.7 31.7 23.6 16.0
## 2126 28.2 32.0 25.1 2.0
## 2127 26.9 31.4 24.1 21.8
## 2128 27.9 31.3 24.8 0.4
## 2129 26.9 30.1 24.9 0.0
## 2130 27.1 31.9 25.4 5.0
## 2131 28.7 31.7 24.8 4.0
## 2132 28.8 31.9 25.9 0.0
## 2133 29.0 32.2 26.0 0.0
## 2134 28.5 31.1 24.0 0.0
## 2135 28.7 32.6 25.0 10.0
## 2136 26.7 30.6 24.3 NA
## 2137 27.6 32.8 24.4 7.4
## 2138 28.6 31.8 25.2 0.0
## 2139 28.4 31.7 25.4 0.0
## 2140 28.5 31.7 24.8 0.0
## 2141 27.9 30.6 25.4 0.0
## 2142 26.9 29.4 23.8 0.0
## 2143 27.0 30.1 23.6 81.0
## 2144 27.3 29.4 23.6 13.0
## 2145 28.6 32.0 26.4 5.0
## 2146 28.5 31.8 25.3 0.0
## 2147 28.3 31.5 24.9 0.0
## 2148 28.3 30.4 24.4 0.0
## 2149 26.2 29.4 23.3 24.3
## 2150 26.6 31.1 23.9 20.0
## 2151 27.1 29.5 25.4 NA
## 2152 26.3 29.0 22.9 10.0
## 2153 27.9 32.0 25.0 7.0
## 2154 28.1 31.3 24.3 0.0
## 2155 25.9 29.2 24.3 5.0
## 2156 27.2 31.0 24.9 26.0
## 2157 28.0 31.0 25.1 0.3
## 2158 28.8 32.8 25.9 6.0
## 2159 29.4 33.1 25.9 0.0
## 2160 29.1 31.8 25.2 0.0
## 2161 28.8 32.0 26.2 3.0
## 2162 29.4 32.6 26.2 0.0
## 2163 29.5 32.2 27.2 0.0
## 2164 28.9 31.8 25.8 0.0
## 2165 28.5 31.1 25.8 0.0
## 2166 29.3 32.5 26.9 0.0
## 2167 29.1 32.5 25.9 0.0
## 2168 29.3 32.4 25.6 0.0
## 2169 29.1 32.2 26.0 0.0
## 2170 28.8 32.6 25.1 0.0
## 2171 28.5 31.6 25.2 0.0
## 2172 28.6 31.6 26.0 0.0
## 2173 28.3 33.1 25.2 0.0
## 2174 27.9 32.0 24.9 0.0
## 2175 27.6 31.6 24.9 0.8
## 2176 28.7 30.9 25.2 0.0
## 2177 28.3 32.0 25.2 0.0
## 2178 28.2 31.7 25.0 0.0
## 2179 27.5 30.9 24.0 0.0
## 2180 28.5 30.6 23.4 0.0
## 2181 28.0 31.6 23.0 0.0
## 2182 27.3 31.1 25.0 3.0
## 2183 27.1 32.0 24.8 7.0
## 2184 28.0 31.6 24.9 NA
## 2185 27.7 29.7 25.4 0.7
## 2186 27.3 30.4 24.1 4.0
## 2187 27.3 30.6 24.3 1.4
## 2188 27.4 31.7 24.3 0.2
## 2189 28.2 31.0 25.4 0.0
## 2190 28.0 30.6 24.9 0.0
## 2191 27.7 31.4 24.7 0.0
## 2192 28.7 31.2 26.0 0.0
## 2193 27.0 30.4 24.2 NA
## 2194 25.6 30.5 23.2 22.0
## 2195 28.3 31.2 25.4 0.0
## 2196 28.1 30.7 25.7 0.5
## 2197 27.7 31.2 25.2 0.5
## 2198 28.5 30.8 25.2 0.0
## 2199 28.0 30.4 25.0 0.0
## 2200 28.4 30.9 26.1 0.0
## 2201 28.5 31.4 26.0 0.0
## 2202 27.8 31.3 24.6 0.0
## 2203 28.8 31.8 26.4 0.0
## 2204 28.6 31.5 25.7 0.0
## 2205 28.2 30.4 25.2 0.0
## 2206 28.2 30.9 24.0 26.0
## 2207 27.6 30.8 24.1 36.0
## 2208 28.1 31.0 25.4 0.0
## 2209 28.4 30.9 25.9 0.0
## 2210 28.3 30.3 25.8 0.0
## 2211 28.3 31.2 25.8 0.2
## 2212 28.3 31.0 25.2 0.0
## 2213 28.3 31.4 25.7 0.0
## 2214 28.3 30.8 26.0 0.0
## 2215 27.9 30.6 25.4 0.0
## 2216 28.2 30.8 25.6 0.0
## 2217 27.6 30.2 24.6 0.0
## 2218 27.5 30.7 23.4 33.6
## 2219 27.6 30.4 24.7 0.2
## 2220 27.3 29.5 24.6 0.3
## 2221 27.4 30.6 24.6 1.2
## 2222 25.5 30.4 23.1 48.0
## 2223 27.5 31.0 24.8 37.0
## 2224 28.2 30.5 25.9 0.0
## 2225 28.3 30.6 25.4 0.0
## 2226 28.3 31.0 26.0 0.0
## 2227 28.4 30.7 26.3 14.5
## 2228 28.1 30.0 24.1 6.0
## 2229 27.3 31.4 22.6 16.0
## 2230 28.2 30.3 25.6 0.0
## 2231 28.0 31.1 25.0 7.0
## 2232 27.1 30.8 24.0 4.7
## 2233 27.3 30.4 25.1 NA
## 2234 28.6 30.7 26.6 0.0
## 2235 28.2 30.2 26.3 0.0
## 2236 28.7 31.1 26.0 0.0
## 2237 28.2 30.7 26.1 0.0
## 2238 27.9 30.2 25.3 0.3
## 2239 27.8 30.8 25.2 0.3
## 2240 27.9 30.1 25.4 0.0
## 2241 28.0 31.2 24.6 4.0
## 2242 27.8 30.3 25.2 0.0
## 2243 27.8 30.8 25.2 0.4
## 2244 27.8 29.6 25.9 0.0
## 2245 27.7 30.2 26.4 0.0
## 2246 28.1 30.3 26.2 4.2
## 2247 27.8 30.3 25.5 16.8
## 2248 27.0 29.5 24.4 NA
## 2249 25.5 28.9 24.0 132.0
## 2250 26.1 29.9 24.6 5.0
## 2251 26.3 28.8 24.2 3.0
## 2252 25.5 28.3 23.7 4.0
## 2253 25.8 29.0 23.7 10.0
## 2254 25.7 28.5 22.9 148.4
## 2255 26.6 29.7 23.3 46.0
## 2256 25.4 29.2 23.2 20.6
## 2257 26.7 29.4 23.9 10.0
## 2258 26.2 29.2 23.9 5.0
## 2259 26.5 29.0 24.6 0.6
## 2260 27.6 30.6 24.7 0.2
## 2261 27.6 29.8 24.7 4.0
## 2262 26.8 29.6 24.4 8.0
## 2263 27.7 30.4 24.1 1.5
## 2264 26.2 30.1 23.6 66.5
## 2265 27.3 31.1 24.0 21.5
## 2266 27.8 30.2 25.4 10.0
## 2267 28.5 30.5 24.2 0.0
## 2268 26.8 30.8 23.1 28.9
## 2269 27.3 29.5 24.6 17.1
## 2270 28.2 30.6 25.0 9.0
## 2271 28.7 30.7 25.2 0.2
## 2272 26.9 30.0 24.7 7.0
## 2273 28.4 31.9 25.9 7.0
## 2274 29.2 31.0 26.6 0.0
## 2275 28.8 31.4 26.8 0.0
## 2276 28.8 31.0 25.6 0.0
## 2277 29.0 32.3 25.0 0.0
## 2278 28.5 31.8 24.0 2.0
## 2279 28.3 30.9 25.9 0.0
## 2280 28.5 31.4 25.6 0.0
## 2281 27.3 30.0 24.9 0.0
## 2282 28.6 30.8 25.2 0.4
## 2283 28.3 30.9 25.8 0.0
## 2284 26.8 30.5 24.8 6.0
## 2285 27.6 31.3 24.2 29.5
## 2286 26.5 30.1 24.4 NA
## 2287 27.2 30.8 24.9 30.0
## 2288 27.6 32.1 25.0 15.0
## 2289 27.0 31.3 24.4 0.0
## 2290 27.1 32.4 25.3 26.0
## 2291 28.2 30.8 25.9 0.0
## 2292 27.3 30.4 24.8 13.0
## 2293 27.7 32.3 24.3 69.0
## 2294 28.3 32.3 24.2 17.0
## 2295 27.4 30.1 24.9 0.0
## 2296 27.5 31.2 24.4 43.0
## 2297 28.1 31.0 25.1 0.4
## 2298 27.5 29.8 25.0 NA
## 2299 27.9 31.4 24.0 0.2
## 2300 28.3 31.9 22.7 21.3
## 2301 28.4 30.8 25.6 0.0
## 2302 28.4 32.0 24.4 35.0
## 2303 27.9 30.2 25.7 0.0
## 2304 27.6 29.6 24.4 24.0
## 2305 27.3 32.9 24.8 21.0
## 2306 28.8 32.0 26.0 0.0
## 2307 27.9 31.2 24.9 3.0
## 2308 28.7 32.3 24.4 11.0
## 2309 29.0 32.5 26.4 0.0
## 2310 29.0 32.3 26.0 0.0
## 2311 28.8 31.3 25.8 0.0
## 2312 28.8 31.6 24.8 0.0
## 2313 27.9 30.2 24.6 9.0
## 2314 27.2 29.7 23.3 0.0
## 2315 27.5 31.4 24.2 36.5
## 2316 27.7 31.3 25.0 NA
## 2317 28.0 31.0 24.8 0.0
## 2318 27.9 31.7 25.3 0.0
## 2319 26.5 30.0 24.4 0.0
## 2320 26.8 31.2 26.3 1.7
## 2321 27.0 30.0 24.8 5.0
## 2322 28.5 31.2 26.0 4.0
## 2323 28.3 31.2 25.0 1.0
## 2324 27.5 30.7 24.8 0.0
## 2325 26.1 32.2 23.7 26.0
## 2326 28.3 30.9 25.4 0.0
## 2327 27.5 30.0 24.8 0.0
## 2328 27.9 32.1 25.2 NA
## 2329 27.8 31.4 25.0 0.0
## 2330 27.7 32.7 25.8 8.0
## 2331 28.3 32.6 25.4 0.0
## 2332 27.6 30.3 25.6 NA
## 2333 27.3 31.9 25.0 16.0
## 2334 27.6 31.6 25.2 0.1
## 2335 28.3 32.0 25.0 NA
## 2336 28.3 32.4 25.4 0.0
## 2337 28.6 32.4 25.2 0.0
## 2338 27.4 31.7 24.3 3.0
## 2339 26.4 31.3 24.1 16.0
## 2340 26.9 31.6 24.8 1.0
## 2341 27.2 31.0 24.9 0.0
## 2342 26.7 31.0 23.8 9.5
## 2343 26.7 31.9 23.1 48.0
## 2344 27.5 31.8 24.4 4.0
## 2345 26.9 31.7 24.3 10.0
## 2346 26.0 30.5 23.4 9.3
## 2347 26.7 31.9 22.7 13.0
## 2348 27.9 31.9 25.6 1.0
## 2349 27.2 31.3 25.1 31.0
## 2350 27.4 31.2 24.2 31.0
## 2351 26.1 30.8 23.9 1.1
## 2352 27.0 31.3 24.4 7.2
## 2353 27.4 31.9 25.2 4.0
## 2354 27.2 30.7 23.0 0.0
## 2355 24.8 32.7 22.7 56.8
## 2356 27.7 32.3 25.2 2.0
## 2357 28.3 32.3 23.9 0.9
## 2358 28.1 31.9 23.7 0.0
## 2359 26.4 31.4 22.9 91.0
## 2360 27.7 30.7 23.9 0.0
## 2361 26.5 33.6 23.6 19.5
## 2362 26.9 30.8 23.0 29.4
## 2363 27.5 33.4 24.6 16.0
## 2364 29.4 32.6 25.6 0.0
## 2365 28.2 32.6 24.9 6.0
## 2366 NA 33.0 NA 6.0
## 2367 27.6 32.0 24.0 6.0
## 2368 27.5 32.6 24.0 62.0
## 2369 26.4 31.4 24.4 2.0
## 2370 27.1 30.2 25.5 6.0
## 2371 27.0 31.8 25.0 8.0
## 2372 28.4 31.8 24.6 10.0
## 2373 26.7 30.9 24.6 0.5
## 2374 27.6 30.8 24.7 0.5
## 2375 26.1 30.4 22.9 3.0
## 2376 27.0 31.5 23.2 74.0
## 2377 28.4 31.9 23.7 0.0
## 2378 27.2 31.9 23.3 102.0
## 2379 26.9 30.9 23.4 0.0
## 2380 27.2 32.1 23.4 32.0
## 2381 27.7 30.9 24.2 0.0
## 2382 26.8 32.2 24.0 0.0
## 2383 26.0 31.3 23.6 15.0
## 2384 27.6 30.8 24.7 22.0
## 2385 26.6 31.8 24.1 25.0
## 2386 27.6 32.1 23.8 4.6
## 2387 28.1 32.9 24.6 0.4
## 2388 26.7 32.3 22.9 50.0
## 2389 26.6 31.2 23.7 1.4
## 2390 27.5 32.2 24.2 4.0
## 2391 27.6 32.1 25.0 0.0
## 2392 27.0 30.9 24.4 NA
## 2393 26.7 30.4 23.1 3.0
## 2394 26.0 32.2 24.0 12.6
## 2395 27.3 32.1 24.6 0.0
## 2396 25.6 28.8 23.7 NA
## 2397 26.3 30.9 24.3 18.7
## 2398 26.9 31.4 24.5 9.0
## 2399 27.0 30.5 24.6 14.0
## 2400 27.6 29.9 24.7 0.6
## 2401 26.1 31.7 24.2 8.0
## 2402 26.6 31.1 22.9 0.0
## 2403 26.0 32.2 24.1 18.0
## 2404 28.6 32.0 25.0 0.0
## 2405 28.2 31.8 24.6 0.0
## 2406 27.3 34.0 23.0 55.5
## 2407 28.8 33.3 24.8 0.0
## 2408 27.8 32.7 25.1 0.0
## 2409 27.3 29.8 24.0 2.0
## 2410 27.1 33.4 23.5 9.0
## 2411 28.3 32.7 24.3 2.0
## 2412 27.0 31.9 22.8 16.0
## 2413 27.9 31.3 24.3 0.0
## 2414 27.6 31.0 24.9 NA
## 2415 25.9 30.3 23.1 13.0
## 2416 26.7 31.7 24.6 0.4
## 2417 26.9 29.6 22.5 2.5
## 2418 27.1 31.8 22.2 54.5
## 2419 28.4 31.0 24.4 NA
## 2420 28.4 31.6 24.8 0.0
## 2421 26.6 30.8 23.7 21.0
## 2422 27.0 31.4 22.3 18.0
## 2423 27.0 30.6 24.3 NA
## 2424 26.6 31.2 24.3 5.8
## 2425 26.9 30.9 23.4 33.0
## 2426 27.3 30.4 24.5 NA
## 2427 27.2 31.4 24.6 2.0
## 2428 27.2 31.1 24.7 2.0
## 2429 26.4 30.3 24.6 0.9
## 2430 26.2 32.1 24.9 23.0
## 2431 27.8 31.4 25.5 NA
## 2432 27.2 31.4 25.6 9.0
## 2433 27.1 31.4 23.6 0.0
## 2434 26.6 30.0 25.2 23.0
## 2435 27.7 32.0 24.7 0.0
## 2436 25.9 31.0 23.9 NA
## 2437 26.8 31.4 24.8 35.9
## 2438 26.8 29.6 24.8 3.5
## 2439 26.6 31.4 22.8 40.0
## 2440 27.3 31.4 25.4 0.0
## 2441 28.1 31.9 24.0 NA
## 2442 28.2 32.4 23.2 30.3
## 2443 28.5 31.3 25.0 15.0
## 2444 26.9 32.3 24.8 10.5
## 2445 28.6 30.9 26.4 14.0
## 2446 NA NA NA 0.0
## 2447 29.4 32.4 26.5 0.0
## 2448 28.4 31.8 25.6 0.0
## 2449 28.8 30.7 24.6 0.0
## 2450 27.8 32.0 24.1 8.0
## 2451 27.6 31.4 23.1 7.5
## 2452 26.9 30.4 24.0 4.0
## 2453 27.6 31.2 24.7 2.0
## 2454 28.2 31.4 25.8 0.0
## 2455 28.2 30.9 25.8 4.0
## 2456 28.0 31.0 25.7 2.2
## 2457 27.1 31.1 24.8 13.0
## 2458 27.2 33.0 23.7 71.0
## 2459 27.6 32.0 23.9 0.2
## 2460 26.7 32.1 22.6 47.3
## 2461 26.6 31.4 24.3 7.7
## 2462 26.3 32.9 23.7 17.3
## 2463 28.6 31.6 25.6 0.0
## 2464 27.2 31.2 23.4 14.0
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## 2471 26.6 31.9 24.0 20.0
## 2472 28.3 32.7 25.2 NA
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## 2474 NA NA NA 0.0
## 2475 28.3 32.1 25.0 0.0
## 2476 27.5 31.4 24.0 NA
## 2477 27.9 32.0 24.7 31.0
## 2478 28.4 31.6 25.3 9.2
## 2479 28.2 33.1 24.8 0.6
## 2480 27.9 32.2 24.1 NA
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## 2482 27.8 31.3 24.7 0.7
## 2483 27.4 29.9 24.3 2.3
## 2484 26.6 32.9 25.4 4.0
## 2485 28.3 31.3 23.9 6.0
## 2486 28.2 31.6 25.0 2.0
## 2487 27.2 31.0 25.1 NA
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## 2489 29.3 32.7 26.3 0.0
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## 2491 28.4 32.0 24.8 0.0
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## 2494 28.4 31.2 25.5 0.0
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## 2497 28.8 32.4 26.0 NA
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## 2499 29.0 32.7 25.1 2.5
## 2500 29.2 32.4 25.4 0.0
## 2501 28.8 32.9 25.5 NA
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## 2510 27.6 31.2 24.8 7.0
## 2511 27.0 32.3 24.2 14.2
## 2512 28.2 31.0 25.7 0.0
## 2513 29.0 31.3 26.9 NA
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## 2515 28.2 31.4 25.7 0.0
## 2516 28.2 31.2 24.0 8.0
## 2517 27.6 30.2 25.7 0.0
## 2518 28.3 31.4 25.3 NA
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## 2530 28.5 31.9 25.9 NA
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## 2542 28.2 31.3 25.7 NA
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## 2544 27.0 28.9 23.8 47.0
## 2545 27.7 30.7 25.5 10.0
## 2546 27.8 29.9 25.8 NA
## 2547 27.8 30.6 24.6 73.4
## 2548 28.7 30.5 26.6 NA
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## 2550 28.6 30.8 26.3 4.7
## 2551 28.4 30.5 25.3 0.0
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## 2587 28.3 30.6 24.0 0.9
## 2588 28.4 31.1 25.9 0.0
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## 2590 28.9 30.9 26.6 NA
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## 2595 28.4 30.1 25.8 0.0
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## 2598 28.2 30.3 25.8 NA
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## 2604 27.4 29.6 25.1 0.0
## 2605 27.4 29.5 24.8 4.0
## 2606 27.6 29.7 24.6 NA
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## 2609 27.9 29.7 25.7 0.0
## 2610 27.3 28.9 24.6 0.0
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## 2612 27.2 29.9 22.4 NA
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## 2614 27.7 30.7 24.8 2.8
## 2615 27.1 29.9 24.0 27.2
## 2616 28.0 32.3 24.7 13.0
## 2617 28.6 31.2 25.4 NA
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## 2619 27.7 31.2 23.5 51.0
## 2620 28.3 30.7 24.7 0.0
## 2621 27.6 30.6 25.5 25.0
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## 2625 27.6 31.9 23.6 1.0
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## 2630 26.8 30.3 24.5 1.5
## 2631 27.8 30.3 24.2 57.0
## 2632 28.9 31.9 27.1 0.0
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## 2635 28.0 31.0 24.8 0.0
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## 2637 25.2 31.9 22.9 34.0
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## 2639 28.7 31.1 25.7 1.0
## 2640 29.4 31.4 26.2 0.0
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## 2646 25.8 29.0 24.0 6.0
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## 2656 28.2 30.4 23.5 63.0
## 2657 27.7 30.8 24.5 70.0
## 2658 27.9 31.2 25.9 30.0
## 2659 27.0 30.2 25.4 NA
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## 2670 28.6 32.8 24.8 12.0
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## 2673 26.6 30.6 23.6 67.1
## 2674 27.5 31.0 24.2 1.0
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## 2678 26.2 32.2 24.1 96.0
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## 2682 28.0 32.4 24.4 16.0
## 2683 26.9 31.8 25.0 18.0
## 2684 27.9 33.2 25.2 7.0
## 2685 28.4 33.2 25.0 NA
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## 2688 27.5 31.4 24.8 3.0
## 2689 29.0 32.7 25.5 11.0
## 2690 28.2 32.7 25.5 0.0
## 2691 28.4 33.2 25.7 NA
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## 2694 29.0 33.1 26.4 NA
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## 2699 28.2 33.2 24.8 4.0
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## 2706 26.0 28.6 23.6 3.7
## 2707 26.5 30.1 24.3 17.0
## 2708 26.9 32.1 24.4 55.0
## 2709 26.8 31.7 24.2 NA
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## 2711 26.2 31.8 24.3 60.0
## 2712 28.5 31.8 24.5 100.0
## 2713 28.7 32.6 25.0 0.0
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## 2724 28.5 32.6 24.5 3.0
## 2725 28.1 31.1 23.1 0.0
## 2726 27.5 32.2 23.1 7.0
## 2727 28.0 31.4 23.2 NA
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## 2729 27.6 31.3 24.7 0.0
## 2730 27.1 31.6 24.0 18.0
## 2731 27.3 31.6 25.2 11.0
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## 2733 27.2 31.1 24.8 0.0
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## 2736 27.1 31.4 25.2 2.1
## 2737 27.6 30.9 24.8 0.0
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## 2739 26.5 30.9 24.3 8.0
## 2740 26.5 30.5 24.4 21.3
## 2741 26.9 30.5 24.5 0.3
## 2742 27.4 30.9 25.6 NA
## 2743 26.5 30.7 23.4 0.5
## 2744 26.1 30.0 24.6 25.3
## 2745 27.6 31.4 25.4 3.0
## 2746 27.1 31.0 24.4 0.0
## 2747 26.6 30.4 24.3 9.4
## 2748 27.8 33.2 25.4 NA
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## 2750 26.8 31.7 25.2 5.4
## 2751 26.7 31.5 24.9 7.1
## 2752 26.7 30.9 23.9 13.0
## 2753 27.8 32.8 24.0 13.0
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## 2759 28.6 33.1 25.8 0.0
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## 2765 28.4 32.0 24.9 NA
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## 2767 27.5 31.3 24.7 0.0
## 2768 25.8 31.7 24.2 46.0
## 2769 28.2 31.4 25.3 NA
## 2770 28.2 32.3 24.8 NA
## 2771 26.7 31.2 23.2 NA
## 2772 26.5 32.2 22.9 21.2
## 2773 27.2 30.1 24.7 0.0
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## 2775 26.4 29.1 24.4 24.0
## 2776 27.7 32.1 25.0 0.0
## 2777 26.7 32.5 24.0 40.0
## 2778 26.7 31.0 24.4 15.0
## 2779 27.2 29.4 23.9 NA
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## 2782 28.3 33.1 24.8 26.0
## 2783 27.4 31.7 24.0 0.0
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## 2785 27.1 31.0 24.7 NA
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## 2788 27.5 31.4 24.8 6.8
## 2789 28.6 32.8 25.2 0.8
## 2790 28.3 32.0 25.2 NA
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## 2798 28.5 33.4 25.4 8.0
## 2799 28.6 32.4 24.9 0.0
## 2800 27.7 31.2 24.5 NA
## 2801 26.1 32.4 23.5 82.0
## 2802 27.6 32.4 24.4 1.6
## 2803 27.1 31.6 23.9 100.0
## 2804 29.4 33.2 25.6 NA
## 2805 28.4 31.9 25.4 0.0
## 2806 27.1 31.0 24.9 17.0
## 2807 28.0 31.2 24.3 75.0
## 2808 28.2 32.2 25.2 NA
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## 2810 26.4 31.8 23.0 19.5
## 2811 27.4 31.6 23.8 0.0
## 2812 27.0 33.3 23.5 36.0
## 2813 28.0 32.3 24.7 108.0
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## 2820 27.1 31.4 24.6 12.0
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## 2829 27.7 32.2 24.4 9.0
## 2830 28.3 33.1 24.7 0.0
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## 2833 26.7 31.9 24.5 1.6
## 2834 28.2 33.4 24.3 14.2
## 2835 29.0 33.4 26.2 0.0
## 2836 28.3 31.1 25.8 NA
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## 2838 28.5 33.1 25.0 57.0
## 2839 27.9 32.9 24.2 0.0
## 2840 26.5 32.3 23.4 42.0
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## 2842 28.3 32.1 26.0 NA
## 2843 28.2 31.4 25.7 NA
## 2844 28.9 32.6 24.8 9.0
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## 2852 28.5 31.2 23.9 0.0
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## 2858 28.9 31.4 26.5 0.0
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## 2860 26.8 28.8 22.4 44.0
## 2861 27.4 32.8 22.8 67.0
## 2862 27.8 30.9 25.2 0.0
## 2863 27.8 29.6 25.4 NA
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## 2865 26.7 32.2 24.9 21.5
## 2866 27.1 32.4 24.2 26.0
## 2867 28.4 31.8 25.8 0.0
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## 2870 26.3 31.9 24.9 NA
## 2871 28.3 31.6 24.7 5.0
## 2872 26.9 31.8 24.4 10.5
## 2873 29.4 32.6 26.9 NA
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## 2875 29.4 31.6 26.8 NA
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## 2878 28.5 30.3 25.9 0.0
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## 2880 27.4 30.2 23.6 NA
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## 2882 28.2 31.2 24.9 0.0
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## 2884 27.0 29.3 24.4 NA
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## 2886 28.6 31.9 23.9 74.0
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## 2892 27.1 32.3 24.2 48.0
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## 2894 28.9 33.0 24.5 2.0
## 2895 29.0 32.2 25.2 0.4
## 2896 28.4 31.6 25.6 NA
## 2897 28.0 31.2 25.1 0.0
## 2898 27.1 30.1 23.7 NA
## 2899 26.6 29.6 23.9 42.0
## 2900 26.7 30.5 25.3 7.1
## 2901 27.2 31.4 24.9 10.0
## 2902 26.8 33.1 24.2 8.4
## 2903 28.8 32.4 24.9 0.0
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## 2906 28.7 31.9 25.1 NA
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## 2908 27.0 32.1 23.9 3.0
## 2909 26.7 30.8 23.0 3.0
## 2910 27.2 29.8 23.1 14.0
## 2911 28.2 30.7 25.7 1.8
## 2912 28.4 31.0 25.3 0.0
## 2913 27.5 30.8 25.2 0.0
## 2914 27.1 31.8 25.4 NA
## 2915 29.0 32.0 25.6 0.0
## 2916 28.7 32.0 25.4 0.2
## 2917 28.3 31.6 25.6 0.0
## 2918 27.2 30.9 25.3 NA
## 2919 28.2 31.4 26.2 NA
## 2920 27.9 30.7 24.7 0.0
## 2921 28.1 31.2 25.4 15.0
## 2922 29.0 33.9 25.2 12.0
## 2923 29.3 33.3 24.8 0.0
## 2924 28.8 33.0 25.3 NA
## 2925 28.8 32.9 25.7 0.2
## 2926 29.1 32.6 25.0 0.0
## 2927 28.2 31.7 26.2 2.0
## 2928 28.5 31.4 25.9 0.0
## 2929 28.7 31.2 26.3 0.0
## 2930 28.5 31.5 25.8 0.0
## 2931 28.6 30.9 26.2 NA
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## 2934 28.5 30.8 25.8 0.0
## 2935 28.8 32.0 26.2 0.0
## 2936 29.2 30.6 25.4 0.0
## 2937 26.9 31.1 25.0 NA
## 2938 28.6 31.8 25.7 NA
## 2939 26.7 30.9 24.1 2.7
## 2940 28.8 31.4 24.4 0.5
## 2941 29.1 31.9 26.7 0.0
## 2942 28.8 31.1 25.7 0.0
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## 2953 28.1 29.6 24.2 10.0
## 2954 26.7 30.6 23.7 54.0
## 2955 28.3 30.4 25.0 NA
## 2956 27.4 30.7 24.6 24.5
## 2957 27.7 29.6 24.0 NA
## 2958 26.9 29.2 23.8 7.0
## 2959 27.2 30.3 23.3 50.0
## 2960 27.7 30.9 25.2 0.0
## 2961 28.1 30.7 25.2 0.2
## 2962 27.1 29.9 23.4 10.7
## 2963 27.2 31.1 23.4 17.5
## 2964 27.5 31.0 24.5 0.0
## 2965 27.4 31.2 24.7 10.0
## 2966 27.8 31.0 25.2 NA
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## 2968 28.5 32.4 25.2 3.0
## 2969 28.3 32.2 25.4 0.0
## 2970 29.0 32.8 26.0 0.0
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## 2988 28.4 30.7 25.6 17.0
## 2989 28.1 32.6 25.4 NA
## 2990 28.0 31.1 25.4 NA
## 2991 26.9 32.0 24.4 25.0
## 2992 28.7 32.3 25.0 NA
## 2993 27.4 31.7 24.8 0.8
## 2994 27.5 30.4 23.6 0.0
## 2995 25.7 29.6 23.6 NA
## 2996 26.3 29.9 23.9 8.0
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## 2998 28.9 32.6 25.2 0.0
## 2999 28.5 32.1 25.2 0.0
## 3000 27.4 31.0 25.0 4.0
## 3001 27.6 32.0 25.0 NA
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## 3004 28.9 31.5 25.3 4.0
## 3005 29.2 31.4 26.4 5.0
## 3006 29.2 31.3 26.2 0.5
## 3007 27.2 30.9 24.7 2.0
## 3008 28.5 32.5 25.1 NA
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## 3010 27.1 29.7 24.9 0.7
## 3011 26.9 31.4 25.1 12.3
## 3012 29.1 32.4 26.8 0.0
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## 3014 28.2 31.7 25.9 6.0
## 3015 28.0 32.0 25.2 0.0
## 3016 28.8 31.7 24.4 19.0
## 3017 28.8 31.5 26.3 NA
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## 3019 29.1 32.4 26.2 2.0
## 3020 28.7 32.2 26.5 0.0
## 3021 29.5 32.7 26.0 NA
## 3022 27.3 32.9 24.1 49.5
## 3023 29.0 32.6 26.3 3.0
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## 3025 28.2 32.7 23.8 49.0
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## 3030 29.3 32.2 26.3 0.0
## 3031 28.2 31.4 26.2 9.0
## 3032 28.9 32.1 26.4 11.0
## 3033 28.6 32.7 25.7 NA
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## 3036 28.0 31.1 25.4 0.0
## 3037 28.0 32.8 25.4 7.5
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## 3040 28.8 31.6 25.9 0.0
## 3041 29.1 32.7 26.7 0.0
## 3042 28.6 33.2 25.8 NA
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## 3044 28.1 31.0 24.8 NA
## 3045 28.3 31.7 24.4 33.0
## 3046 28.8 32.7 24.9 2.0
## 3047 29.3 32.0 24.7 23.0
## 3048 28.8 32.2 25.2 4.0
## 3049 28.9 31.5 26.0 0.0
## 3050 28.9 32.6 26.2 1.3
## 3051 28.5 32.2 26.3 NA
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## 3054 29.2 31.7 26.3 0.0
## 3055 29.4 33.0 25.8 0.0
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## 3057 28.4 32.2 25.4 NA
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## 3059 27.7 31.0 24.6 10.3
## 3060 27.9 30.8 24.9 16.0
## 3061 27.3 31.3 24.3 15.3
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## 3064 29.4 32.1 26.1 25.6
## 3065 28.1 32.1 25.1 0.0
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## 3067 29.1 32.8 26.2 NA
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## 3070 29.2 34.2 26.3 NA
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## 3072 27.2 31.0 24.9 4.0
## 3073 29.0 33.1 26.5 4.0
## 3074 29.4 32.5 26.2 0.0
## 3075 28.3 32.4 25.5 NA
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## 3077 29.0 32.8 24.1 37.0
## 3078 29.2 33.3 25.7 0.0
## 3079 28.4 32.6 25.7 14.0
## 3080 27.2 33.6 24.4 10.7
## 3081 28.4 32.8 25.4 0.0
## 3082 28.7 32.3 24.9 NA
## 3083 27.6 33.0 25.6 23.0
## 3084 29.1 31.8 26.8 0.0
## 3085 29.3 33.0 26.4 NA
## 3086 29.4 32.2 26.5 1.0
## 3087 28.6 32.2 23.3 NA
## 3088 28.0 32.1 25.7 5.0
## 3089 26.4 32.0 23.4 143.0
## 3090 27.2 32.4 25.5 4.0
## 3091 28.4 31.7 26.0 11.0
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## 3109 29.2 32.3 26.6 0.0
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## 3112 28.0 31.4 25.8 0.0
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## 3118 28.4 32.1 24.6 4.8
## 3119 28.4 35.5 22.3 87.0
## 3120 29.6 33.6 26.7 0.0
## 3121 28.8 33.1 25.3 NA
## 3122 28.8 34.2 26.1 0.0
## 3123 29.1 33.4 25.2 0.0
## 3124 28.5 33.8 24.3 NA
## 3125 29.5 34.1 26.6 0.0
## 3126 29.2 34.1 25.8 NA
## 3127 29.6 33.4 26.3 0.0
## 3128 29.5 32.7 26.3 0.0
## 3129 29.0 32.1 25.8 0.0
## 3130 28.9 32.7 26.4 NA
## 3131 28.8 32.4 25.3 0.0
## 3132 28.3 32.2 24.4 1.0
## 3133 29.1 32.9 25.4 20.2
## 3134 29.3 32.3 26.7 NA
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## 3136 29.3 35.0 25.6 0.0
## 3137 29.6 33.6 25.9 0.0
## 3138 29.7 35.1 25.2 0.0
## 3139 29.5 34.6 25.3 0.0
## 3140 28.7 33.2 24.8 0.0
## 3141 28.6 32.8 25.7 NA
## 3142 29.2 33.2 25.7 NA
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## 3145 25.8 28.4 24.0 9.0
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## 3147 28.3 33.9 25.9 5.0
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## 3150 29.4 33.5 25.8 NA
## 3151 29.6 33.4 26.3 0.0
## 3152 29.2 33.3 26.4 0.0
## 3153 28.5 33.3 26.1 NA
## 3154 28.9 33.3 25.7 0.0
## 3155 29.5 33.3 26.5 0.0
## 3156 29.4 33.3 26.4 NA
## 3157 29.2 33.2 26.0 0.0
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## 3159 29.4 32.3 26.1 0.0
## 3160 29.2 33.2 25.9 3.0
## 3161 29.1 32.6 26.2 0.0
## 3162 28.1 31.7 24.5 NA
## 3163 27.0 32.2 23.8 20.0
## 3164 29.3 33.1 26.4 NA
## 3165 29.6 33.8 26.0 0.0
## 3166 29.2 33.2 26.8 0.0
## 3167 28.6 31.9 25.9 0.0
## 3168 28.4 31.8 25.5 2.0
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## 3179 29.0 32.4 26.1 0.0
## 3180 28.4 31.4 25.9 0.0
## 3181 28.6 32.4 26.2 NA
## 3182 27.8 31.8 25.6 NA
## 3183 28.3 32.9 26.6 NA
## 3184 28.3 31.8 26.0 0.0
## 3185 28.4 31.2 24.3 NA
## 3186 27.5 30.7 23.8 86.0
## 3187 29.4 33.4 26.0 NA
## 3188 29.6 33.0 26.4 0.0
## 3189 29.3 32.6 26.6 0.0
## 3190 29.2 32.2 25.9 0.0
## 3191 29.4 33.1 24.7 14.0
## 3192 29.3 32.8 26.0 0.0
## 3193 29.3 31.9 26.0 0.0
## 3194 28.9 32.4 25.7 0.0
## 3195 29.0 32.4 26.4 NA
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## 3198 28.5 31.9 25.1 0.7
## 3199 28.8 32.9 24.4 19.0
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## 3201 28.7 33.3 25.2 13.0
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## 3203 28.5 32.9 25.6 45.2
## 3204 29.9 33.9 26.7 0.8
## 3205 29.7 32.9 26.2 0.0
## 3206 29.1 31.9 26.0 0.0
## 3207 28.6 32.0 25.7 NA
## 3208 28.4 32.1 25.7 NA
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## 3210 27.5 33.7 24.9 24.0
## 3211 28.8 32.7 26.1 0.0
## 3212 29.4 32.9 26.4 0.0
## 3213 28.8 31.8 25.8 NA
## 3214 28.2 31.9 25.5 NA
## 3215 27.5 32.0 25.7 3.0
## 3216 28.5 33.4 26.4 NA
## 3217 29.3 33.3 26.2 0.0
## 3218 29.0 33.3 25.0 0.0
## 3219 28.1 31.4 24.4 0.0
## 3220 27.4 30.9 24.8 13.1
## 3221 28.3 32.3 26.1 15.0
## 3222 28.9 32.3 26.0 0.0
## 3223 28.5 32.4 25.3 4.4
## 3224 29.3 31.8 26.3 0.0
## 3225 27.7 32.6 25.1 0.0
## 3226 27.9 30.7 25.4 0.0
## 3227 28.1 32.0 25.3 NA
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## 3229 28.2 32.6 24.9 3.0
## 3230 29.0 34.0 24.2 21.0
## 3231 29.5 33.2 26.1 0.0
## 3232 29.1 33.7 26.9 0.0
## 3233 29.2 33.4 24.6 NA
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## 3235 29.1 32.2 26.2 0.0
## 3236 29.2 31.0 27.7 0.0
## 3237 28.8 30.9 26.9 0.0
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## 3244 28.7 32.6 26.1 0.0
## 3245 29.4 31.5 26.8 0.0
## 3246 29.2 33.1 26.2 0.0
## 3247 29.3 32.7 26.1 NA
## 3248 28.6 31.3 26.1 0.6
## 3249 29.3 31.0 26.3 5.0
## 3250 28.7 31.4 26.3 3.0
## 3251 29.1 31.9 26.1 0.0
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## 3272 28.3 31.9 26.0 0.0
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## 3275 28.0 30.5 25.2 NA
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## 3279 27.4 30.4 24.4 0.0
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## 3285 28.0 30.8 25.4 0.0
## 3286 28.4 30.1 26.8 0.0
## 3287 28.2 30.2 25.4 0.0
## 3288 27.9 30.1 24.9 NA
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## 3290 28.3 31.1 26.1 0.0
## 3291 27.6 30.3 23.8 15.0
## 3292 27.7 31.2 24.9 23.3
## 3293 28.5 31.2 25.6 0.0
## 3294 28.1 31.0 25.7 0.0
## 3295 28.2 30.4 25.2 0.0
## 3296 28.0 29.7 25.2 0.0
## 3297 27.4 29.7 25.1 NA
## 3298 27.7 30.1 25.0 NA
## 3299 27.8 30.4 25.1 NA
## 3300 28.2 30.2 25.5 0.0
## 3301 27.7 30.5 24.4 0.0
## 3302 27.7 29.9 25.1 1.0
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## 3305 28.6 31.4 25.7 0.5
## 3306 27.7 30.5 25.3 0.1
## 3307 28.2 30.2 26.5 44.0
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## 3309 28.4 30.8 26.6 0.0
## 3310 28.1 30.5 25.8 0.0
## 3311 28.0 29.9 25.8 0.0
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## 3318 28.1 30.8 25.4 0.0
## 3319 27.6 30.0 25.0 0.0
## 3320 28.1 29.9 25.5 0.6
## 3321 27.8 29.9 24.9 NA
## 3322 26.7 29.6 23.5 50.0
## 3323 27.3 29.8 24.1 22.0
## 3324 27.7 30.2 23.7 1.2
## 3325 27.8 30.1 24.2 8.0
## 3326 28.4 29.7 27.4 NA
## 3327 28.2 30.2 23.6 11.8
## 3328 27.9 31.3 23.7 608.2
## 3329 27.2 31.2 24.0 NA
## 3330 28.1 30.4 25.4 13.0
## 3331 28.0 30.6 25.3 0.0
## 3332 28.1 30.4 26.2 0.2
## 3333 28.5 31.3 27.0 0.3
## 3334 28.8 30.4 27.5 0.0
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## 3348 27.5 29.8 25.0 0.0
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## 3350 28.0 29.9 25.4 7.0
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## 3352 28.4 30.2 24.9 0.0
## 3353 28.0 30.7 24.7 13.0
## 3354 28.2 30.6 27.1 0.6
## 3355 27.8 29.9 23.9 NA
## 3356 26.8 29.9 24.1 6.0
## 3357 27.2 30.0 23.8 28.0
## 3358 28.3 30.8 25.5 9.8
## 3359 28.5 30.2 25.9 0.2
## 3360 27.9 30.2 25.4 0.0
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## 3362 26.9 30.4 23.7 14.0
## 3363 27.7 30.2 25.0 0.0
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## 3365 26.3 28.2 23.6 49.7
## 3366 26.2 28.9 23.6 18.0
## 3367 28.1 30.5 24.8 12.0
## 3368 27.4 29.9 25.2 31.6
## 3369 27.5 30.1 24.6 106.3
## 3370 27.6 30.6 25.1 6.0
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## 3372 27.5 30.8 24.7 7.3
## 3373 27.2 30.8 24.7 18.0
## 3374 27.1 31.0 24.7 30.0
## 3375 28.5 31.3 24.5 13.0
## 3376 28.3 30.7 24.8 0.0
## 3377 28.4 31.9 24.6 7.3
## 3378 26.7 31.9 23.6 0.0
## 3379 26.9 31.5 23.5 7.0
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## 3383 29.3 32.0 26.6 0.0
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## 3388 28.3 31.2 24.9 0.0
## 3389 28.6 31.1 24.2 26.0
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## 3392 29.5 31.7 25.7 0.0
## 3393 28.8 31.0 25.0 0.0
## 3394 29.0 30.9 25.4 0.0
## 3395 26.8 30.1 24.7 NA
## 3396 28.1 31.0 24.2 8.0
## 3397 27.4 31.5 23.5 13.0
## 3398 27.9 30.4 25.2 12.0
## 3399 27.8 31.4 25.8 NA
## 3400 28.6 32.3 26.2 0.0
## 3401 28.4 31.7 25.2 0.0
## 3402 28.1 31.2 25.6 0.0
## 3403 28.1 31.4 24.4 49.0
## 3404 28.0 31.1 24.8 9.0
## 3405 27.6 31.6 24.3 NA
## 3406 26.8 30.9 24.6 0.0
## 3407 27.8 31.9 25.5 18.1
## 3408 28.8 31.4 25.8 0.0
## 3409 28.2 31.8 25.1 4.0
## 3410 28.4 32.2 25.9 0.0
## 3411 28.7 32.3 25.5 10.0
## 3412 28.3 32.4 23.9 0.0
## 3413 26.8 31.6 23.8 40.8
## 3414 28.6 31.6 24.8 2.8
## 3415 28.2 31.8 24.7 0.0
## 3416 26.6 31.5 23.7 48.0
## 3417 27.4 32.3 24.5 NA
## 3418 27.6 31.7 24.4 2.0
## 3419 28.0 31.8 24.6 0.2
## 3420 26.9 31.1 22.9 0.2
## 3421 27.6 33.6 23.6 10.6
## 3422 28.4 32.4 25.6 0.0
## 3423 29.3 32.4 25.1 0.0
## 3424 27.4 31.9 24.8 0.0
## 3425 28.1 31.3 25.4 0.0
## 3426 28.3 31.7 25.4 3.0
## 3427 28.1 31.7 25.3 NA
## 3428 28.3 31.5 25.3 0.0
## 3429 27.2 31.0 24.1 10.0
## 3430 26.2 32.7 23.9 53.0
## 3431 28.7 32.6 25.3 NA
## 3432 28.9 32.4 25.6 0.0
## 3433 28.9 31.9 25.8 0.0
## 3434 29.4 31.4 24.5 0.0
## 3435 26.6 33.1 23.7 49.0
## 3436 28.4 32.2 25.9 5.0
## 3437 28.5 32.3 24.9 18.0
## 3438 28.9 32.1 25.5 NA
## 3439 28.2 32.7 24.6 3.0
## 3440 28.5 32.7 25.7 0.0
## 3441 28.4 31.8 25.3 0.0
## 3442 28.6 31.7 25.6 0.0
## 3443 28.7 32.4 25.4 0.0
## 3444 28.3 32.1 24.9 0.0
## 3445 28.1 31.7 25.1 0.0
## 3446 28.1 32.2 24.8 0.0
## 3447 28.1 32.0 24.6 1.2
## 3448 27.7 31.7 24.2 0.0
## 3449 28.4 30.9 24.6 2.0
## 3450 26.3 30.3 24.1 23.0
## 3451 26.5 31.1 24.2 8.0
## 3452 26.2 29.8 24.2 8.0
## 3453 26.8 32.0 24.3 33.0
## 3454 28.2 31.4 25.7 0.0
## 3455 26.8 30.9 23.4 20.0
## 3456 27.5 31.1 24.8 0.0
## 3457 26.3 31.4 24.3 50.0
## 3458 27.3 30.6 24.9 0.0
## 3459 26.5 29.7 24.8 NA
## 3460 25.8 30.2 23.8 21.0
## 3461 27.6 30.3 24.1 16.0
## 3462 27.7 30.9 25.2 NA
## 3463 28.2 32.3 23.9 NA
## 3464 27.0 32.5 22.3 35.0
## 3465 27.9 32.3 24.1 2.0
## 3466 26.4 32.3 23.8 2.0
## 3467 26.5 31.0 24.0 0.0
## 3468 26.9 30.7 23.1 1.0
## 3469 26.1 30.8 23.1 31.0
## 3470 27.1 30.7 24.2 5.0
## 3471 28.1 33.2 24.7 NA
## 3472 27.5 32.4 22.9 NA
## 3473 28.1 32.6 23.8 26.0
## 3474 28.4 31.9 25.4 0.0
## 3475 28.2 31.0 24.7 10.0
## 3476 27.4 30.9 24.9 0.0
## 3477 28.1 33.8 24.8 0.0
## 3478 28.9 33.7 24.8 0.0
## 3479 27.3 32.3 24.4 0.0
## 3480 27.2 29.5 23.8 4.0
## 3481 27.4 31.4 23.2 0.0
## 3482 27.3 32.6 23.2 43.5
## 3483 27.2 31.0 24.3 0.0
## 3484 27.8 33.3 25.5 NA
## 3485 27.9 32.8 25.0 0.0
## 3486 27.0 30.2 25.0 3.0
## 3487 26.6 30.2 24.5 5.0
## 3488 26.3 30.8 23.9 45.0
## 3489 25.3 29.3 23.3 81.0
## 3490 26.3 32.0 23.6 19.0
## 3491 26.7 32.0 23.9 7.0
## 3492 26.7 31.3 24.1 42.0
## 3493 27.5 31.6 23.8 0.0
## 3494 26.6 30.6 23.6 8.0
## 3495 25.8 29.6 23.7 21.0
## 3496 24.6 30.2 23.6 39.5
## 3497 25.9 30.4 23.7 28.3
## 3498 26.2 29.3 22.6 77.0
## 3499 25.6 28.9 23.5 1.0
## 3500 26.3 28.4 23.6 0.0
## 3501 26.3 31.2 23.1 99.0
## 3502 26.4 32.8 23.8 70.8
## 3503 27.5 31.9 24.2 NA
## 3504 27.3 30.6 23.7 8.0
## 3505 27.6 29.9 24.4 0.0
## 3506 27.4 31.4 24.1 NA
## 3507 28.0 31.4 24.2 3.0
## 3508 27.4 31.2 25.2 0.0
## 3509 27.4 31.4 24.0 0.0
## 3510 26.8 30.1 23.5 9.0
## 3511 26.3 30.4 23.8 31.0
## 3512 26.6 30.1 22.6 22.7
## 3513 25.1 30.1 22.8 32.9
## 3514 26.7 31.4 24.3 48.5
## 3515 28.3 31.8 25.6 0.0
## 3516 27.9 31.8 25.1 8.2
## 3517 27.3 31.4 24.8 44.0
## 3518 27.4 32.0 25.0 3.0
## 3519 27.5 30.8 25.1 1.0
## 3520 27.0 31.6 24.1 1.5
## 3521 26.5 30.7 23.8 0.3
## 3522 26.7 30.9 23.7 0.2
## 3523 26.0 30.6 23.3 8.0
## 3524 26.0 28.4 22.8 12.0
## 3525 26.7 30.2 22.8 NA
## 3526 26.5 29.8 23.2 12.0
## 3527 27.5 32.4 24.3 1.2
## 3528 26.9 32.4 24.2 38.0
## 3529 27.9 30.9 24.9 0.9
## 3530 28.6 31.0 25.4 0.0
## 3531 27.8 31.8 24.6 8.0
## 3532 28.4 32.5 24.5 3.0
## 3533 27.7 31.2 24.9 0.0
## 3534 27.5 31.0 25.1 0.0
## 3535 27.4 30.3 25.4 0.0
## 3536 28.5 35.0 25.8 0.0
## 3537 28.3 32.4 25.4 0.0
## 3538 28.2 32.0 24.9 0.0
## 3539 27.1 33.2 24.0 72.0
## 3540 28.6 31.7 25.3 0.0
## 3541 27.7 30.9 24.7 0.0
## 3542 27.0 31.8 25.1 8.6
## 3543 26.3 31.3 23.9 34.0
## 3544 29.0 32.7 24.6 15.0
## 3545 28.1 32.7 24.4 83.0
## 3546 28.4 31.7 24.9 0.0
## 3547 28.0 32.4 25.4 7.0
## 3548 28.8 32.1 24.4 64.0
## 3549 27.8 32.1 25.4 12.0
## 3550 28.2 32.7 24.7 0.0
## 3551 27.5 32.3 24.0 1.2
## 3552 26.5 31.1 23.9 18.0
## 3553 26.7 30.1 24.6 36.1
## 3554 27.1 33.3 23.4 56.1
## 3555 27.1 32.3 22.1 56.0
## 3556 27.2 31.2 23.7 0.0
## 3557 26.6 33.1 23.4 30.0
## 3558 28.0 33.7 23.4 16.0
## 3559 28.3 34.0 23.6 4.5
## 3560 27.2 30.4 24.1 2.5
## 3561 26.6 32.4 23.2 195.0
## 3562 27.7 32.4 24.8 0.0
## 3563 28.4 32.4 24.8 2.0
## 3564 27.5 31.2 24.8 4.0
## 3565 28.6 32.8 25.1 0.0
## 3566 29.1 32.5 24.6 21.0
## 3567 28.3 31.7 25.4 0.0
## 3568 27.7 31.6 24.7 0.0
## 3569 27.9 32.3 25.4 2.0
## 3570 28.3 32.3 25.4 0.0
## 3571 28.3 32.1 25.5 1.0
## 3572 28.1 33.2 24.0 81.0
## 3573 29.2 33.4 24.9 2.0
## 3574 29.1 32.9 25.1 0.0
## 3575 29.1 32.4 25.9 0.0
## 3576 28.6 31.8 24.8 10.0
## 3577 26.4 31.2 24.2 2.0
## 3578 27.1 32.0 24.4 5.0
## 3579 27.7 31.5 25.5 0.0
## 3580 28.1 31.2 24.7 3.1
## 3581 27.9 34.2 24.7 11.0
## 3582 28.0 31.9 25.0 1.0
## 3583 26.9 31.6 24.1 31.0
## 3584 28.4 31.3 24.4 0.8
## 3585 27.2 32.0 24.5 13.2
## 3586 28.2 31.4 25.7 0.0
## 3587 28.2 32.4 25.7 NA
## 3588 28.7 31.9 26.2 0.0
## 3589 29.2 31.8 26.8 0.0
## 3590 29.3 31.9 26.7 0.0
## 3591 28.5 31.7 25.3 0.0
## 3592 28.8 31.9 25.4 0.0
## 3593 29.3 32.6 26.0 0.0
## 3594 28.0 31.1 25.0 0.0
## 3595 27.1 31.1 22.9 96.0
## 3596 29.3 32.2 26.7 0.0
## 3597 29.3 31.5 26.1 0.0
## 3598 28.3 31.7 25.8 5.0
## 3599 28.7 32.2 25.7 0.0
## 3600 28.5 31.6 25.3 4.0
## 3601 28.6 32.0 25.3 13.0
## 3602 28.5 33.1 25.5 11.0
## 3603 29.3 34.7 22.9 37.0
## 3604 29.6 33.3 26.0 0.0
## 3605 29.4 34.0 26.7 NA
## 3606 29.5 33.3 26.3 0.0
## 3607 29.5 32.8 26.8 0.0
## 3608 29.4 33.2 26.7 0.0
## 3609 29.6 33.8 26.7 0.0
## 3610 29.5 33.3 25.7 0.0
## 3611 28.6 32.8 25.1 0.0
## 3612 28.8 31.6 24.9 0.0
## 3613 28.6 31.3 25.1 0.0
## 3614 28.7 31.9 25.5 0.0
## 3615 29.2 32.6 25.8 0.0
## 3616 28.4 32.7 24.4 0.0
## 3617 29.1 31.7 24.2 0.0
## 3618 28.6 31.3 24.9 0.0
## 3619 28.7 30.8 25.2 0.0
## 3620 28.8 33.0 25.2 0.0
## 3621 29.1 32.7 25.2 0.0
## 3622 28.7 32.8 25.3 0.0
## 3623 29.2 31.9 25.9 0.0
## 3624 29.0 32.7 26.0 0.0
## 3625 28.6 32.7 26.1 0.0
## 3626 29.6 32.6 26.8 0.0
## 3627 29.3 32.6 26.4 0.0
## 3628 29.0 32.3 26.1 0.0
## 3629 28.6 31.3 24.7 0.0
## 3630 28.8 31.8 25.1 0.0
## 3631 29.1 32.4 26.3 0.0
## 3632 29.1 32.4 25.8 NA
## 3633 28.7 31.8 25.3 0.0
## 3634 28.6 31.4 25.4 0.0
## 3635 28.5 32.5 25.1 0.0
## 3636 29.0 31.6 24.8 0.0
## 3637 28.3 31.6 24.9 0.0
## 3638 27.8 31.1 23.8 NA
## 3639 27.7 31.0 23.8 0.0
## 3640 27.9 30.3 25.4 0.0
## 3641 26.8 29.4 24.3 0.0
## 3642 27.7 30.4 25.7 NA
## 3643 28.1 30.8 25.4 0.0
## 3644 27.8 30.8 24.9 0.0
## 3645 27.8 31.2 25.6 NA
## 3646 27.5 30.7 23.3 2.6
## 3647 28.1 31.2 23.2 14.4
## 3648 27.8 30.4 25.0 0.0
## 3649 27.9 29.4 25.3 0.0
## 3650 27.8 31.1 25.7 0.0
## 3651 28.3 30.2 24.7 0.0
## 3652 28.4 30.9 24.7 0.0
## 3653 28.5 30.5 25.3 0.0
## 3654 27.3 30.0 24.7 0.0
## 3655 26.6 28.4 23.3 NA
## 3656 26.4 29.6 25.6 39.0
## 3657 27.6 30.9 25.4 6.1
## 3658 27.7 30.8 25.3 1.0
## 3659 27.9 30.7 25.3 0.0
## 3660 27.7 30.3 24.7 0.0
## 3661 27.3 30.1 24.8 11.0
## 3662 27.9 30.9 25.2 NA
## 3663 27.1 30.2 24.3 3.0
## 3664 25.7 30.6 23.8 3.7
## 3665 27.1 29.8 24.7 0.0
## 3666 26.5 28.9 23.2 1.2
## 3667 27.1 31.1 24.0 40.0
## 3668 27.4 29.8 24.7 0.0
## 3669 27.4 28.8 24.8 0.0
## 3670 27.3 31.2 24.7 19.0
## 3671 27.5 30.3 24.8 0.0
## 3672 28.1 30.8 24.9 0.0
## 3673 27.9 30.2 24.9 0.0
## 3674 26.5 29.9 23.9 NA
## 3675 25.7 28.2 24.4 6.5
## 3676 26.4 29.3 24.3 12.0
## 3677 27.4 31.2 23.7 6.0
## 3678 27.9 31.9 24.3 17.0
## 3679 27.9 31.7 24.5 0.0
## 3680 28.5 31.1 25.8 0.1
## 3681 28.6 30.4 25.5 0.2
## 3682 28.2 30.8 22.1 NA
## 3683 27.7 31.1 24.7 20.0
## 3684 28.4 31.4 25.5 0.0## TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## 11 7 11 398## Warning: package 'lubridate' was built under R version 4.3.3##
## Attaching package: 'lubridate'## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, unionlibrary(dplyr)
bppp<- read_excel("D:/Magang/Kalimantan 10 tahunn.xlsx")
bppp$Date <- as.Date(bppp$Date)
bppmean <- bppp %>%
mutate(YearMonth = format(Date, "%Y-%m"))
bppmean <- bppmean %>%
group_by(YearMonth) %>%
mutate(
TemperatureCAvg = round(ifelse(is.na(TemperatureCAvg), mean(TemperatureCAvg, na.rm = TRUE), TemperatureCAvg), 1),
TemperatureCMax = round(ifelse(is.na(TemperatureCMax), mean(TemperatureCMax, na.rm = TRUE), TemperatureCMax), 1),
TemperatureCMin = round(ifelse(is.na(TemperatureCMin), mean(TemperatureCMin, na.rm = TRUE), TemperatureCMin), 1),
Precmm = round(ifelse(is.na(Precmm), mean(Precmm, na.rm = TRUE), Precmm), 1))%>%
ungroup() %>%select(-'YearMonth')
bppmean## # A tibble: 3,684 × 7
## kabupaten station_ID Date TemperatureCAvg TemperatureCMax
## <chr> <dbl> <date> <dbl> <dbl>
## 1 Balikpapan 96633 2024-08-31 28 30.3
## 2 Balikpapan 96633 2024-08-30 28 31.2
## 3 Balikpapan 96633 2024-08-29 27.1 30.4
## 4 Balikpapan 96633 2024-08-28 26.1 29
## 5 Balikpapan 96633 2024-08-27 26.8 30
## 6 Balikpapan 96633 2024-08-26 26.9 28.4
## 7 Balikpapan 96633 2024-08-25 26.5 28
## 8 Balikpapan 96633 2024-08-24 26.8 30.8
## 9 Balikpapan 96633 2024-08-23 26.1 29.8
## 10 Balikpapan 96633 2024-08-22 25.9 28.4
## # ℹ 3,674 more rows
## # ℹ 2 more variables: TemperatureCMin <dbl>, Precmm <dbl>## Date TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## 1 2024-08-31 28.0 30.3 25.1 0.0
## 2 2024-08-30 28.0 31.2 24.7 0.6
## 3 2024-08-29 27.1 30.4 24.8 0.3
## 4 2024-08-28 26.1 29.0 24.1 1.0
## 5 2024-08-27 26.8 30.0 24.7 111.3
## 6 2024-08-26 26.9 28.4 24.2 1.9
## 7 2024-08-25 26.5 28.0 24.6 29.0
## 8 2024-08-24 26.8 30.8 24.7 9.0
## 9 2024-08-23 26.1 29.8 24.0 7.0
## 10 2024-08-22 25.9 28.4 24.9 10.0
## 11 2024-08-21 27.4 29.7 25.6 13.6
## 12 2024-08-20 27.7 29.4 24.1 44.0
## 13 2024-08-19 26.2 29.2 24.2 44.0
## 14 2024-08-18 27.3 30.2 24.7 6.0
## 15 2024-08-17 28.2 30.2 25.0 0.3
## 16 2024-08-16 26.5 30.2 24.0 12.0
## 17 2024-08-15 26.7 29.2 24.4 100.0
## 18 2024-08-14 27.6 30.0 25.4 65.0
## 19 2024-08-13 27.7 29.7 25.0 0.0
## 20 2024-08-12 27.9 30.3 24.9 7.2
## 21 2024-08-11 28.3 31.3 25.6 0.0
## 22 2024-08-10 27.7 30.9 23.3 19.0
## 23 2024-08-09 25.8 30.4 23.5 106.5
## 24 2024-08-08 26.3 30.0 23.4 20.0
## 25 2024-08-07 26.8 28.5 24.2 54.2
## 26 2024-08-06 27.5 30.6 24.4 3.9
## 27 2024-08-05 28.1 30.4 23.7 73.0
## 28 2024-08-04 27.7 29.6 25.0 75.1
## 29 2024-08-03 27.3 28.9 25.1 9.3
## 30 2024-08-02 28.4 30.8 26.5 20.0
## 31 2024-08-01 28.9 31.4 25.7 0.0
## 32 2024-07-31 28.4 31.5 25.4 8.0
## 33 2024-07-30 29.3 31.5 27.1 0.0
## 34 2024-07-29 29.2 31.7 26.7 0.0
## 35 2024-07-28 28.8 31.0 25.6 0.0
## 36 2024-07-27 28.9 31.8 26.1 0.0
## 37 2024-07-26 28.5 30.4 24.7 0.0
## 38 2024-07-25 27.8 31.1 24.9 81.2
## 39 2024-07-24 28.7 31.3 26.7 0.0
## 40 2024-07-23 27.7 31.2 25.0 0.0
## 41 2024-07-22 27.9 30.6 25.6 26.8
## 42 2024-07-21 28.3 31.2 26.2 16.0
## 43 2024-07-20 28.4 30.5 26.4 0.0
## 44 2024-07-19 26.8 30.6 24.3 0.0
## 45 2024-07-18 28.6 30.3 25.8 0.8
## 46 2024-07-17 28.1 30.4 24.7 0.0
## 47 2024-07-16 28.3 31.0 24.7 30.0
## 48 2024-07-15 28.4 30.9 24.8 0.0
## 49 2024-07-14 26.8 30.4 24.8 82.0
## 50 2024-07-13 27.5 29.8 25.8 0.0
## 51 2024-07-12 27.9 30.8 25.9 0.0
## 52 2024-07-11 28.4 30.7 24.7 0.0
## 53 2024-07-10 26.3 30.2 22.9 0.3
## 54 2024-07-09 27.1 29.2 23.2 47.0
## 55 2024-07-08 25.6 29.1 23.7 10.0
## 56 2024-07-07 27.3 30.9 23.9 37.0
## 57 2024-07-06 27.8 31.7 23.9 35.0
## 58 2024-07-05 28.4 31.7 25.4 0.0
## 59 2024-07-04 26.7 31.0 24.3 2.2
## 60 2024-07-03 25.9 27.9 24.3 19.7
## 61 2024-07-02 27.0 30.1 25.2 9.2
## 62 2024-07-01 27.7 30.1 25.6 0.8
## 63 2024-06-30 27.3 30.0 24.1 9.4
## 64 2024-06-29 27.2 31.1 24.1 34.0
## 65 2024-06-28 28.8 31.8 26.3 4.0
## 66 2024-06-27 29.1 31.6 25.5 0.0
## 67 2024-06-26 28.2 30.8 25.0 0.0
## 68 2024-06-25 26.3 29.7 24.7 0.0
## 69 2024-06-24 26.4 30.1 24.4 20.6
## 70 2024-06-23 27.1 30.6 23.8 36.2
## 71 2024-06-22 28.4 31.2 25.7 3.0
## 72 2024-06-21 28.8 31.2 25.4 0.3
## 73 2024-06-20 26.9 31.1 24.9 4.0
## 74 2024-06-19 27.1 31.3 24.6 12.0
## 75 2024-06-18 27.4 31.8 24.7 35.0
## 76 2024-06-17 28.3 31.1 24.5 0.0
## 77 2024-06-16 28.1 30.7 24.5 8.0
## 78 2024-06-15 27.2 29.6 25.0 13.1
## 79 2024-06-14 26.6 29.1 25.0 2.7
## 80 2024-06-13 27.8 31.7 24.7 31.0
## 81 2024-06-12 27.8 32.2 25.2 2.0
## 82 2024-06-11 27.0 32.2 25.4 1.4
## 83 2024-06-10 28.4 31.7 24.5 10.0
## 84 2024-06-09 28.0 31.6 26.1 0.0
## 85 2024-06-08 27.4 31.3 24.7 34.0
## 86 2024-06-07 27.7 30.4 24.8 0.1
## 87 2024-06-06 27.6 31.7 25.3 10.6
## 88 2024-06-05 27.7 30.4 24.1 5.2
## 89 2024-06-04 27.8 31.4 24.2 68.8
## 90 2024-06-03 27.6 31.1 24.9 1.0
## 91 2024-06-02 27.3 32.9 25.2 58.2
## 92 2024-06-01 29.2 32.9 25.6 3.0
## 93 2024-05-31 29.0 31.7 26.4 0.0
## 94 2024-05-30 28.2 33.0 25.3 16.0
## 95 2024-05-29 28.8 32.1 26.7 0.0
## 96 2024-05-28 27.4 31.0 24.2 4.0
## 97 2024-05-27 26.5 29.9 24.4 47.5
## 98 2024-05-26 28.6 31.9 26.1 50.0
## 99 2024-05-25 29.5 32.1 25.0 0.0
## 100 2024-05-24 28.5 31.7 26.2 0.0
## 101 2024-05-23 28.6 31.5 25.8 11.0
## 102 2024-05-22 29.0 32.3 25.4 37.0
## 103 2024-05-21 28.3 31.0 24.1 40.0
## 104 2024-05-20 28.3 32.8 25.1 20.0
## 105 2024-05-19 28.4 32.8 24.8 74.0
## 106 2024-05-18 28.7 30.6 25.2 0.0
## 107 2024-05-17 28.3 32.6 25.2 2.8
## 108 2024-05-16 30.1 32.1 27.2 0.0
## 109 2024-05-15 29.5 32.3 26.3 0.0
## 110 2024-05-14 29.4 32.3 26.3 13.0
## 111 2024-05-13 28.1 32.1 24.7 0.0
## 112 2024-05-12 27.7 32.3 25.1 22.0
## 113 2024-05-11 29.0 32.1 25.8 8.1
## 114 2024-05-10 28.6 32.0 25.8 0.0
## 115 2024-05-09 28.0 32.1 26.3 0.0
## 116 2024-05-08 29.8 33.0 26.7 0.0
## 117 2024-05-07 29.5 31.9 24.8 0.0
## 118 2024-05-06 27.7 30.6 24.9 5.5
## 119 2024-05-05 28.8 32.3 24.9 21.5
## 120 2024-05-04 27.0 31.6 24.8 0.1
## 121 2024-05-03 27.6 31.9 25.0 19.0
## 122 2024-05-02 29.7 33.3 26.0 11.1
## 123 2024-05-01 29.2 32.6 26.7 0.0
## 124 2024-04-30 28.0 31.6 25.0 0.5
## 125 2024-04-29 28.7 32.7 25.7 25.0
## 126 2024-04-28 28.7 32.3 25.7 21.0
## 127 2024-04-27 29.1 33.6 26.2 0.6
## 128 2024-04-26 29.3 32.5 25.8 0.0
## 129 2024-04-25 27.7 31.8 25.3 5.0
## 130 2024-04-24 27.6 33.2 25.5 14.0
## 131 2024-04-23 29.3 33.4 26.3 0.3
## 132 2024-04-22 29.4 33.8 26.3 0.0
## 133 2024-04-21 29.4 32.7 26.4 0.8
## 134 2024-04-20 29.8 33.6 26.3 0.0
## 135 2024-04-19 29.0 32.9 26.5 0.0
## 136 2024-04-18 29.8 33.0 26.2 0.0
## 137 2024-04-17 29.5 32.8 25.1 0.0
## 138 2024-04-16 29.4 32.2 26.5 0.0
## 139 2024-04-15 29.4 32.6 26.4 0.0
## 140 2024-04-14 29.6 32.8 26.3 0.0
## 141 2024-04-13 29.4 32.6 26.1 0.0
## 142 2024-04-12 29.6 33.2 25.0 0.0
## 143 2024-04-11 29.0 33.0 26.3 0.0
## 144 2024-04-10 29.4 34.5 25.1 2.0
## 145 2024-04-09 27.7 34.5 24.9 12.0
## 146 2024-04-08 29.7 34.8 26.4 0.0
## 147 2024-04-07 29.8 35.2 26.6 0.0
## 148 2024-04-06 30.1 34.4 25.6 0.0
## 149 2024-04-05 29.9 34.8 25.5 0.0
## 150 2024-04-04 29.5 34.0 25.5 0.0
## 151 2024-04-03 29.0 33.0 25.1 0.0
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## 1615 2020-03-31 27.5 29.9 24.5 0.0
## 1616 2020-03-30 27.5 31.9 24.5 30.0
## 1617 2020-03-29 28.6 31.4 25.7 0.0
## 1618 2020-03-28 27.7 32.4 23.6 66.0
## 1619 2020-03-27 28.6 32.4 25.8 0.0
## 1620 2020-03-26 28.1 32.5 25.1 0.0
## 1621 2020-03-25 27.9 30.9 24.4 10.0
## 1622 2020-03-24 27.8 32.0 23.1 30.0
## 1623 2020-03-23 27.7 30.9 24.0 0.0
## 1624 2020-03-22 27.7 32.1 23.5 0.0
## 1625 2020-03-21 26.2 31.0 23.5 14.3
## 1626 2020-03-20 28.0 31.7 24.3 0.5
## 1627 2020-03-19 28.6 33.2 25.4 0.0
## 1628 2020-03-18 28.5 33.0 24.6 0.0
## 1629 2020-03-17 28.6 32.1 24.4 0.0
## 1630 2020-03-16 28.4 31.8 25.1 0.0
## 1631 2020-03-15 28.0 31.1 25.0 13.0
## 1632 2020-03-14 28.6 32.4 26.1 0.0
## 1633 2020-03-13 28.7 32.3 26.0 0.0
## 1634 2020-03-12 28.7 32.5 25.6 2.0
## 1635 2020-03-11 28.5 31.5 25.5 0.0
## 1636 2020-03-10 28.2 32.2 25.0 0.0
## 1637 2020-03-09 28.2 31.9 26.1 0.0
## 1638 2020-03-08 26.3 30.4 23.4 2.0
## 1639 2020-03-07 27.5 30.3 24.4 0.0
## 1640 2020-03-06 25.9 28.8 23.9 29.0
## 1641 2020-03-05 26.6 30.9 24.1 8.0
## 1642 2020-03-04 27.5 32.4 24.4 70.0
## 1643 2020-03-03 28.7 33.1 25.1 0.0
## 1644 2020-03-02 29.4 34.0 26.3 0.0
## 1645 2020-03-01 29.4 33.9 26.0 0.0
## 1646 2020-02-29 28.8 32.3 25.3 0.0
## 1647 2020-02-28 28.8 32.0 25.9 0.0
## 1648 2020-02-27 27.5 31.1 25.0 6.0
## 1649 2020-02-26 29.1 32.2 25.3 0.0
## 1650 2020-02-25 29.1 33.8 25.1 0.0
## 1651 2020-02-24 28.7 33.9 24.8 0.0
## 1652 2020-02-23 28.9 32.5 25.2 0.0
## 1653 2020-02-22 28.3 32.1 24.8 0.0
## 1654 2020-02-21 28.0 32.0 25.2 0.0
## 1655 2020-02-20 27.0 30.8 24.6 3.0
## 1656 2020-02-19 26.7 29.4 23.2 2.0
## 1657 2020-02-18 25.3 31.8 23.3 40.7
## 1658 2020-02-17 27.6 32.3 24.9 6.0
## 1659 2020-02-16 28.0 32.2 24.1 2.0
## 1660 2020-02-15 28.5 32.8 25.4 0.0
## 1661 2020-02-14 28.7 33.4 24.2 0.0
## 1662 2020-02-13 28.4 32.4 24.9 0.0
## 1663 2020-02-12 28.4 32.2 24.9 0.0
## 1664 2020-02-11 27.3 31.3 24.1 5.0
## 1665 2020-02-10 26.6 31.2 24.7 108.0
## 1666 2020-02-09 27.9 32.0 24.3 0.0
## 1667 2020-02-08 26.4 31.0 24.1 54.0
## 1668 2020-02-07 27.4 29.8 24.2 6.3
## 1669 2020-02-06 27.3 31.4 24.6 68.0
## 1670 2020-02-05 28.7 32.1 25.0 0.0
## 1671 2020-02-04 28.7 32.4 25.0 0.0
## 1672 2020-02-03 28.6 32.2 25.5 0.0
## 1673 2020-02-02 27.9 32.0 24.8 0.0
## 1674 2020-02-01 26.8 31.0 24.2 0.0
## 1675 2020-01-31 26.8 31.3 24.0 0.3
## 1676 2020-01-30 27.6 32.4 23.3 63.0
## 1677 2020-01-29 28.7 32.1 26.0 1.0
## 1678 2020-01-28 28.4 31.6 25.5 6.0
## 1679 2020-01-27 27.3 31.2 24.1 6.0
## 1680 2020-01-26 28.1 31.8 25.1 14.0
## 1681 2020-01-25 28.9 33.9 24.8 0.2
## 1682 2020-01-24 28.7 34.3 24.8 0.0
## 1683 2020-01-23 28.5 33.8 24.5 0.0
## 1684 2020-01-22 28.6 34.1 25.0 0.0
## 1685 2020-01-21 29.1 34.0 25.0 0.0
## 1686 2020-01-20 29.0 33.3 24.1 0.0
## 1687 2020-01-19 27.5 31.7 24.1 8.0
## 1688 2020-01-18 27.8 31.9 24.9 0.0
## 1689 2020-01-17 28.3 31.6 23.9 2.0
## 1690 2020-01-16 27.5 30.7 24.4 0.0
## 1691 2020-01-15 26.7 31.4 24.5 2.0
## 1692 2020-01-14 27.9 31.3 25.0 0.0
## 1693 2020-01-13 27.1 30.6 24.7 0.0
## 1694 2020-01-12 26.6 31.2 23.3 30.0
## 1695 2020-01-11 27.5 32.4 24.1 13.0
## 1696 2020-01-10 28.5 33.6 24.5 0.0
## 1697 2020-01-09 28.4 32.4 24.3 0.0
## 1698 2020-01-08 28.2 31.8 24.6 0.0
## 1699 2020-01-07 27.8 31.4 24.1 0.0
## 1700 2020-01-06 27.2 31.0 24.0 0.0
## 1701 2020-01-05 27.0 31.4 24.0 3.0
## 1702 2020-01-04 27.1 30.4 24.0 0.0
## 1703 2020-01-03 25.8 31.4 24.4 12.5
## 1704 2020-01-02 27.9 34.3 24.3 19.0
## 1705 2020-01-01 28.7 33.4 24.5 0.6
## 1706 2019-12-31 28.8 32.8 24.7 0.0
## 1707 2019-12-30 28.4 32.4 24.4 0.0
## 1708 2019-12-29 28.2 31.8 24.4 0.0
## 1709 2019-12-28 27.9 32.7 24.9 0.0
## 1710 2019-12-27 28.2 31.2 25.5 0.0
## 1711 2019-12-26 27.8 31.7 24.8 3.2
## 1712 2019-12-25 28.3 31.3 25.1 4.0
## 1713 2019-12-24 27.3 31.4 25.0 24.0
## 1714 2019-12-23 27.6 31.2 25.3 0.5
## 1715 2019-12-22 27.8 32.2 24.2 23.0
## 1716 2019-12-21 28.0 31.4 24.2 0.0
## 1717 2019-12-20 27.0 31.4 24.8 3.0
## 1718 2019-12-19 27.5 30.2 25.2 0.0
## 1719 2019-12-18 26.6 30.8 24.2 0.0
## 1720 2019-12-17 27.7 30.3 24.0 1.0
## 1721 2019-12-16 26.8 30.6 23.9 27.0
## 1722 2019-12-15 27.7 31.8 23.6 19.0
## 1723 2019-12-14 26.4 30.5 23.3 32.0
## 1724 2019-12-13 26.5 31.4 23.7 33.7
## 1725 2019-12-12 28.1 31.9 24.7 6.2
## 1726 2019-12-11 27.6 32.2 25.1 0.0
## 1727 2019-12-10 28.0 31.7 25.0 0.0
## 1728 2019-12-09 27.7 32.4 25.0 0.0
## 1729 2019-12-08 28.6 32.7 25.6 0.0
## 1730 2019-12-07 28.0 32.5 24.4 0.0
## 1731 2019-12-06 27.9 30.5 25.9 0.0
## 1732 2019-12-05 27.3 29.7 24.8 0.0
## 1733 2019-12-04 28.0 33.2 24.1 6.4
## 1734 2019-12-03 28.7 33.6 25.8 0.0
## 1735 2019-12-02 28.9 33.6 25.3 0.0
## 1736 2019-12-01 28.6 32.8 26.1 0.4
## 1737 2019-11-30 29.1 32.5 25.2 0.0
## 1738 2019-11-29 29.5 33.8 25.2 0.0
## 1739 2019-11-28 28.7 33.0 25.2 0.0
## 1740 2019-11-27 28.0 31.6 25.0 0.0
## 1741 2019-11-26 28.3 32.3 25.0 0.0
## 1742 2019-11-25 28.4 32.0 23.8 0.8
## 1743 2019-11-24 27.9 32.2 23.8 0.0
## 1744 2019-11-23 28.2 32.8 25.6 16.0
## 1745 2019-11-22 28.4 32.8 25.3 0.2
## 1746 2019-11-21 28.9 31.7 26.2 0.2
## 1747 2019-11-20 29.1 31.6 26.2 0.0
## 1748 2019-11-19 28.2 32.7 25.1 0.0
## 1749 2019-11-18 28.7 32.9 25.6 0.0
## 1750 2019-11-17 28.8 32.9 24.6 0.0
## 1751 2019-11-16 28.6 31.8 26.6 2.0
## 1752 2019-11-15 29.0 32.9 25.0 0.0
## 1753 2019-11-14 28.8 31.9 24.9 0.0
## 1754 2019-11-13 27.5 31.0 24.7 0.0
## 1755 2019-11-12 27.6 30.7 24.4 14.0
## 1756 2019-11-11 28.6 31.6 25.5 5.0
## 1757 2019-11-10 27.1 31.2 24.0 0.0
## 1758 2019-11-09 28.6 31.9 25.8 22.0
## 1759 2019-11-08 28.8 31.2 26.2 0.0
## 1760 2019-11-07 28.2 31.4 26.4 0.0
## 1761 2019-11-06 28.9 31.6 26.2 2.0
## 1762 2019-11-05 29.0 31.2 26.5 0.0
## 1763 2019-11-04 28.6 31.3 23.4 3.0
## 1764 2019-11-03 27.5 31.2 23.5 20.0
## 1765 2019-11-02 27.0 30.6 23.3 4.0
## 1766 2019-11-01 26.6 31.4 23.0 6.2
## 1767 2019-10-31 29.3 32.3 26.5 0.0
## 1768 2019-10-30 28.9 31.6 25.6 0.0
## 1769 2019-10-29 28.4 31.2 25.6 0.0
## 1770 2019-10-28 28.8 30.8 25.0 0.0
## 1771 2019-10-27 27.6 30.8 24.2 0.0
## 1772 2019-10-26 27.6 32.6 23.0 15.2
## 1773 2019-10-25 28.5 32.4 23.8 21.0
## 1774 2019-10-24 28.7 31.6 25.2 0.0
## 1775 2019-10-23 28.4 31.0 25.1 0.0
## 1776 2019-10-22 28.4 32.0 25.0 0.1
## 1777 2019-10-21 27.6 30.6 25.6 0.0
## 1778 2019-10-20 27.1 30.7 24.9 7.0
## 1779 2019-10-19 28.0 30.8 24.2 14.0
## 1780 2019-10-18 28.0 30.9 24.8 0.0
## 1781 2019-10-17 28.0 31.0 24.8 7.0
## 1782 2019-10-16 27.5 31.9 24.0 103.0
## 1783 2019-10-15 28.7 32.0 25.4 0.0
## 1784 2019-10-14 27.8 31.9 23.8 16.2
## 1785 2019-10-13 27.9 31.4 25.0 37.4
## 1786 2019-10-12 28.7 31.6 25.9 0.0
## 1787 2019-10-11 28.9 32.2 25.7 0.0
## 1788 2019-10-10 28.7 31.3 25.4 0.0
## 1789 2019-10-09 28.2 31.3 26.0 0.1
## 1790 2019-10-08 28.1 30.4 23.9 2.1
## 1791 2019-10-07 27.9 31.2 23.9 5.0
## 1792 2019-10-06 28.0 31.9 24.1 0.0
## 1793 2019-10-05 28.1 30.4 24.1 0.0
## 1794 2019-10-04 27.0 29.3 24.1 4.0
## 1795 2019-10-03 27.0 30.3 23.5 1.0
## 1796 2019-10-02 27.7 30.8 23.4 21.0
## 1797 2019-10-01 27.8 30.7 23.2 2.0
## 1798 2019-09-30 27.8 31.6 23.3 10.0
## 1799 2019-09-29 28.5 31.3 26.1 0.0
## 1800 2019-09-28 28.2 30.3 25.2 3.0
## 1801 2019-09-27 28.2 31.2 25.8 0.0
## 1802 2019-09-26 28.0 31.0 23.0 63.0
## 1803 2019-09-25 27.7 30.4 23.8 38.5
## 1804 2019-09-24 28.3 32.7 23.9 6.0
## 1805 2019-09-23 28.8 31.9 25.7 0.0
## 1806 2019-09-22 28.9 32.1 25.6 1.0
## 1807 2019-09-21 28.6 32.6 25.8 14.0
## 1808 2019-09-20 28.5 31.9 25.5 0.0
## 1809 2019-09-19 28.0 31.3 25.5 0.0
## 1810 2019-09-18 28.3 31.7 24.4 0.0
## 1811 2019-09-17 28.1 31.1 24.4 0.0
## 1812 2019-09-16 27.8 30.4 24.0 0.0
## 1813 2019-09-15 27.2 30.0 23.3 0.0
## 1814 2019-09-14 26.8 29.8 23.7 0.0
## 1815 2019-09-13 27.8 30.8 26.3 0.0
## 1816 2019-09-12 28.0 31.0 26.3 0.0
## 1817 2019-09-11 28.3 30.7 24.0 0.0
## 1818 2019-09-10 27.8 31.6 25.4 0.0
## 1819 2019-09-09 28.2 32.2 27.0 0.0
## 1820 2019-09-08 28.2 31.2 25.4 0.3
## 1821 2019-09-07 27.8 31.2 25.9 0.7
## 1822 2019-09-06 28.1 30.5 25.0 0.0
## 1823 2019-09-05 28.0 30.3 24.9 0.0
## 1824 2019-09-04 27.6 29.8 24.8 0.0
## 1825 2019-09-03 27.5 30.8 23.8 0.0
## 1826 2019-09-02 28.2 30.8 25.5 0.0
## 1827 2019-09-01 28.1 30.8 23.5 4.0
## 1828 2019-08-31 27.9 30.5 25.2 0.0
## 1829 2019-08-30 27.0 30.8 22.6 0.0
## 1830 2019-08-29 27.2 30.3 24.4 0.0
## 1831 2019-08-28 27.3 31.0 24.9 0.0
## 1832 2019-08-27 27.8 30.4 26.0 0.0
## 1833 2019-08-26 28.2 31.0 26.5 0.0
## 1834 2019-08-25 28.2 30.9 27.1 0.0
## 1835 2019-08-24 27.7 29.8 25.1 1.0
## 1836 2019-08-23 27.6 31.2 25.0 0.0
## 1837 2019-08-22 28.0 30.8 25.1 0.0
## 1838 2019-08-21 27.9 32.4 25.2 1.5
## 1839 2019-08-20 27.2 29.8 25.3 2.0
## 1840 2019-08-19 27.6 30.6 24.3 63.0
## 1841 2019-08-18 28.0 30.8 25.9 0.0
## 1842 2019-08-17 28.0 31.2 25.2 0.0
## 1843 2019-08-16 27.8 31.1 24.5 0.0
## 1844 2019-08-15 28.0 31.5 26.4 0.0
## 1845 2019-08-14 28.3 30.6 25.7 0.0
## 1846 2019-08-13 28.0 30.7 26.0 0.0
## 1847 2019-08-12 28.2 30.4 26.8 0.0
## 1848 2019-08-11 27.4 29.5 24.8 0.0
## 1849 2019-08-10 27.2 30.4 25.1 0.0
## 1850 2019-08-09 27.5 30.0 25.4 0.0
## 1851 2019-08-08 27.7 30.0 25.7 0.0
## 1852 2019-08-07 27.5 30.1 25.0 0.0
## 1853 2019-08-06 27.3 30.2 24.6 0.0
## 1854 2019-08-05 26.8 28.9 24.4 0.0
## 1855 2019-08-04 27.0 29.5 23.7 0.0
## 1856 2019-08-03 27.7 30.1 23.7 0.0
## 1857 2019-08-02 27.7 30.2 25.3 0.2
## 1858 2019-08-01 27.8 29.8 25.6 0.0
## 1859 2019-07-31 27.6 30.6 23.5 1.0
## 1860 2019-07-30 26.9 29.9 22.8 33.0
## 1861 2019-07-29 27.7 30.6 24.7 0.0
## 1862 2019-07-28 28.1 30.0 23.8 1.0
## 1863 2019-07-27 27.4 29.4 24.8 0.0
## 1864 2019-07-26 27.5 30.6 25.2 0.0
## 1865 2019-07-25 27.5 29.8 24.7 10.0
## 1866 2019-07-24 27.6 29.9 24.9 0.0
## 1867 2019-07-23 27.4 29.3 25.0 0.0
## 1868 2019-07-22 27.1 29.6 24.6 7.2
## 1869 2019-07-21 27.7 31.0 25.9 5.0
## 1870 2019-07-20 27.4 31.4 24.4 0.0
## 1871 2019-07-19 27.8 30.6 25.0 0.0
## 1872 2019-07-18 27.7 29.9 24.8 0.0
## 1873 2019-07-17 27.5 30.3 24.4 1.1
## 1874 2019-07-16 27.2 30.2 23.9 0.0
## 1875 2019-07-15 26.8 29.6 23.9 0.0
## 1876 2019-07-14 27.2 29.4 23.3 9.1
## 1877 2019-07-13 26.0 28.9 21.7 174.0
## 1878 2019-07-12 26.1 30.3 22.9 0.3
## 1879 2019-07-11 26.0 28.9 23.8 0.2
## 1880 2019-07-10 26.6 29.8 23.8 6.8
## 1881 2019-07-09 27.5 30.6 24.8 0.0
## 1882 2019-07-08 27.9 30.3 24.6 0.0
## 1883 2019-07-07 28.3 31.6 25.6 0.0
## 1884 2019-07-06 28.0 30.8 24.3 0.0
## 1885 2019-07-05 26.1 29.8 23.1 0.0
## 1886 2019-07-04 26.4 30.4 23.9 0.0
## 1887 2019-07-03 28.3 30.3 26.3 0.0
## 1888 2019-07-02 28.3 30.7 25.6 0.0
## 1889 2019-07-01 27.6 30.3 24.1 0.0
## 1890 2019-06-30 27.4 30.2 24.6 0.0
## 1891 2019-06-29 28.0 30.0 25.0 6.5
## 1892 2019-06-28 28.0 30.6 24.4 7.0
## 1893 2019-06-27 27.9 31.0 24.4 6.3
## 1894 2019-06-26 28.2 30.7 25.6 0.0
## 1895 2019-06-25 28.3 30.7 25.7 0.0
## 1896 2019-06-24 28.2 31.1 24.5 3.0
## 1897 2019-06-23 27.6 30.3 23.6 11.6
## 1898 2019-06-22 27.6 30.3 25.0 29.0
## 1899 2019-06-21 27.3 30.6 24.3 0.4
## 1900 2019-06-20 27.2 30.5 24.6 0.0
## 1901 2019-06-19 27.6 30.5 25.2 2.3
## 1902 2019-06-18 26.2 29.8 24.0 6.2
## 1903 2019-06-17 26.7 29.8 22.8 113.0
## 1904 2019-06-16 26.7 29.6 24.7 1.2
## 1905 2019-06-15 26.9 30.6 24.8 53.0
## 1906 2019-06-14 27.6 30.4 24.7 54.0
## 1907 2019-06-13 25.6 28.0 23.8 134.0
## 1908 2019-06-12 26.6 28.6 24.8 0.7
## 1909 2019-06-11 27.9 30.7 24.2 2.8
## 1910 2019-06-10 26.8 30.3 24.4 0.0
## 1911 2019-06-09 26.3 28.0 24.4 16.3
## 1912 2019-06-08 27.2 30.0 25.0 6.0
## 1913 2019-06-07 27.5 30.4 25.3 0.0
## 1914 2019-06-06 28.0 30.0 25.2 0.0
## 1915 2019-06-05 27.0 30.0 25.1 0.0
## 1916 2019-06-04 26.8 29.4 23.6 71.2
## 1917 2019-06-03 27.1 30.9 23.0 122.0
## 1918 2019-06-02 26.2 29.0 23.8 1.4
## 1919 2019-06-01 26.7 30.1 24.1 50.2
## 1920 2019-05-31 26.5 29.8 23.5 0.0
## 1921 2019-05-30 27.4 30.9 24.0 23.3
## 1922 2019-05-29 27.7 32.4 24.4 12.2
## 1923 2019-05-28 27.3 31.9 24.5 0.0
## 1924 2019-05-27 27.9 30.4 24.0 56.0
## 1925 2019-05-26 28.5 31.4 26.3 16.0
## 1926 2019-05-25 28.1 31.4 24.7 0.0
## 1927 2019-05-24 26.4 30.7 23.8 1.7
## 1928 2019-05-23 27.9 31.0 24.3 21.4
## 1929 2019-05-22 28.7 31.0 25.7 0.8
## 1930 2019-05-21 29.6 32.1 26.9 3.4
## 1931 2019-05-20 29.2 33.0 25.8 0.0
## 1932 2019-05-19 28.9 31.3 26.6 0.0
## 1933 2019-05-18 28.5 31.0 26.2 0.5
## 1934 2019-05-17 28.1 32.1 26.3 2.1
## 1935 2019-05-16 28.9 32.1 26.5 0.0
## 1936 2019-05-15 28.6 31.8 25.2 0.0
## 1937 2019-05-14 29.8 32.5 26.6 1.0
## 1938 2019-05-13 29.1 32.4 25.6 0.3
## 1939 2019-05-12 28.5 31.1 25.9 0.0
## 1940 2019-05-11 28.2 31.4 25.4 0.0
## 1941 2019-05-10 28.4 31.9 25.1 0.0
## 1942 2019-05-09 29.1 32.5 26.4 1.5
## 1943 2019-05-08 29.2 31.8 25.1 4.0
## 1944 2019-05-07 28.3 31.6 25.1 0.0
## 1945 2019-05-06 28.7 31.6 26.0 0.0
## 1946 2019-05-05 29.4 32.3 25.6 0.0
## 1947 2019-05-04 29.4 32.3 25.7 0.0
## 1948 2019-05-03 28.0 32.1 23.5 0.2
## 1949 2019-05-02 26.2 32.2 22.7 23.2
## 1950 2019-05-01 28.1 32.1 25.4 0.0
## 1951 2019-04-30 28.3 31.2 25.1 0.3
## 1952 2019-04-29 27.2 31.1 24.6 0.4
## 1953 2019-04-28 27.2 31.2 24.8 1.4
## 1954 2019-04-27 27.9 31.6 26.1 0.0
## 1955 2019-04-26 27.9 30.7 25.1 9.0
## 1956 2019-04-25 27.2 30.5 24.8 40.0
## 1957 2019-04-24 27.0 30.1 24.9 3.0
## 1958 2019-04-23 28.3 32.6 25.3 6.5
## 1959 2019-04-22 28.0 31.9 25.1 0.0
## 1960 2019-04-21 27.3 31.9 25.3 6.0
## 1961 2019-04-20 29.1 32.7 25.4 0.0
## 1962 2019-04-19 29.2 32.4 26.0 0.0
## 1963 2019-04-18 29.0 33.4 25.3 0.0
## 1964 2019-04-17 29.1 32.1 26.0 0.0
## 1965 2019-04-16 28.7 32.0 25.4 0.0
## 1966 2019-04-15 26.2 31.5 24.7 19.2
## 1967 2019-04-14 27.2 32.6 24.5 19.0
## 1968 2019-04-13 27.4 32.0 24.6 4.7
## 1969 2019-04-12 27.0 31.3 25.4 4.4
## 1970 2019-04-11 27.9 31.2 25.0 8.0
## 1971 2019-04-10 27.8 32.1 24.7 0.0
## 1972 2019-04-09 28.0 32.0 24.3 5.0
## 1973 2019-04-08 27.9 31.1 24.4 0.0
## 1974 2019-04-07 27.5 31.1 24.7 3.0
## 1975 2019-04-06 26.9 30.9 24.7 12.3
## 1976 2019-04-05 27.4 31.6 24.4 14.0
## 1977 2019-04-04 26.9 30.4 24.3 7.4
## 1978 2019-04-03 26.5 29.7 23.6 6.0
## 1979 2019-04-02 25.8 30.3 24.4 32.2
## 1980 2019-04-01 27.0 30.2 23.1 26.2
## 1981 2019-03-31 27.0 32.2 23.9 4.0
## 1982 2019-03-30 27.0 29.9 23.9 6.0
## 1983 2019-03-29 26.1 31.5 24.4 5.9
## 1984 2019-03-28 27.7 31.3 24.8 23.0
## 1985 2019-03-27 27.6 31.3 25.3 15.0
## 1986 2019-03-26 27.2 31.1 23.8 53.0
## 1987 2019-03-25 26.0 32.9 22.7 10.1
## 1988 2019-03-24 28.2 31.6 25.2 0.0
## 1989 2019-03-23 28.4 31.6 26.2 0.0
## 1990 2019-03-22 29.1 33.6 23.9 0.0
## 1991 2019-03-21 28.2 32.4 24.1 0.0
## 1992 2019-03-20 28.1 33.1 22.6 5.0
## 1993 2019-03-19 27.9 32.0 24.6 2.0
## 1994 2019-03-18 27.5 30.1 24.1 0.0
## 1995 2019-03-17 27.2 30.8 23.5 0.0
## 1996 2019-03-16 26.4 32.3 23.5 13.0
## 1997 2019-03-15 27.6 32.0 24.0 8.0
## 1998 2019-03-14 27.0 30.6 24.1 4.0
## 1999 2019-03-13 27.7 29.6 25.0 0.1
## 2000 2019-03-12 26.8 32.7 23.7 28.0
## 2001 2019-03-11 28.2 33.0 23.2 0.0
## 2002 2019-03-10 27.5 33.3 23.0 32.0
## 2003 2019-03-09 29.0 32.7 26.0 0.0
## 2004 2019-03-08 28.2 31.2 24.1 0.0
## 2005 2019-03-07 28.8 34.5 24.1 2.0
## 2006 2019-03-06 28.9 33.3 25.7 2.0
## 2007 2019-03-05 28.6 31.7 25.6 12.0
## 2008 2019-03-04 29.0 32.3 24.5 0.0
## 2009 2019-03-03 28.5 31.6 24.8 0.0
## 2010 2019-03-02 28.6 33.3 24.6 0.0
## 2011 2019-03-01 28.0 32.3 25.4 0.0
## 2012 2019-02-28 28.2 33.4 25.0 0.0
## 2013 2019-02-27 28.6 31.8 25.1 0.0
## 2014 2019-02-26 28.5 31.4 25.3 0.0
## 2015 2019-02-25 28.3 32.8 25.2 0.0
## 2016 2019-02-24 28.8 31.8 25.3 0.0
## 2017 2019-02-23 28.7 32.4 24.5 0.0
## 2018 2019-02-22 28.5 33.8 24.6 0.0
## 2019 2019-02-21 28.7 33.3 25.0 0.0
## 2020 2019-02-20 28.5 33.3 24.3 0.0
## 2021 2019-02-19 28.8 33.0 25.1 0.0
## 2022 2019-02-18 28.2 32.7 24.7 0.0
## 2023 2019-02-17 28.0 33.7 23.4 0.0
## 2024 2019-02-16 28.1 32.8 24.3 0.0
## 2025 2019-02-15 28.6 32.5 24.7 0.0
## 2026 2019-02-14 28.5 32.8 24.9 0.0
## 2027 2019-02-13 28.4 33.4 24.9 0.0
## 2028 2019-02-12 28.3 32.9 25.1 0.0
## 2029 2019-02-11 28.5 32.2 25.3 0.0
## 2030 2019-02-10 27.3 32.2 24.6 3.0
## 2031 2019-02-09 26.9 30.7 25.1 8.9
## 2032 2019-02-08 26.8 31.4 25.1 4.0
## 2033 2019-02-07 27.9 31.0 25.3 1.0
## 2034 2019-02-06 26.7 29.3 23.6 0.0
## 2035 2019-02-05 26.9 30.9 23.3 41.0
## 2036 2019-02-04 27.3 31.2 24.5 8.5
## 2037 2019-02-03 27.3 31.1 24.5 8.0
## 2038 2019-02-02 27.9 31.4 25.2 1.0
## 2039 2019-02-01 26.7 32.1 23.2 14.0
## 2040 2019-01-31 28.1 31.8 24.3 0.0
## 2041 2019-01-30 27.5 31.9 24.0 0.0
## 2042 2019-01-29 26.5 31.0 22.3 8.5
## 2043 2019-01-28 26.5 30.2 22.3 19.0
## 2044 2019-01-27 27.1 29.9 25.1 0.0
## 2045 2019-01-26 26.5 32.0 23.3 43.0
## 2046 2019-01-25 28.3 32.3 25.7 4.0
## 2047 2019-01-24 27.7 30.9 23.6 0.2
## 2048 2019-01-23 26.1 29.0 23.7 14.0
## 2049 2019-01-22 26.3 32.4 23.9 9.2
## 2050 2019-01-21 28.1 31.6 24.0 0.0
## 2051 2019-01-20 27.4 31.7 22.8 37.2
## 2052 2019-01-19 28.4 32.3 25.3 0.0
## 2053 2019-01-18 27.6 31.2 24.2 0.0
## 2054 2019-01-17 26.3 31.2 23.2 16.0
## 2055 2019-01-16 26.5 31.3 24.0 54.4
## 2056 2019-01-15 26.6 29.6 23.8 0.0
## 2057 2019-01-14 26.2 28.7 23.7 8.0
## 2058 2019-01-13 26.5 32.2 24.3 12.0
## 2059 2019-01-12 28.1 31.9 25.8 0.2
## 2060 2019-01-11 28.5 31.7 24.4 0.0
## 2061 2019-01-10 26.6 32.0 24.2 44.0
## 2062 2019-01-09 28.1 31.2 24.4 0.0
## 2063 2019-01-08 28.1 32.6 24.7 26.0
## 2064 2019-01-07 28.8 32.1 25.1 0.0
## 2065 2019-01-06 28.7 32.9 24.8 0.0
## 2066 2019-01-05 28.4 31.7 24.9 0.6
## 2067 2019-01-04 27.3 31.9 23.4 55.0
## 2068 2019-01-03 27.0 30.9 22.9 4.0
## 2069 2019-01-02 26.5 29.9 22.7 13.0
## 2070 2019-01-01 29.0 32.6 25.8 0.0
## 2071 2018-12-31 29.3 33.6 25.5 0.0
## 2072 2018-12-30 29.0 33.4 24.0 0.0
## 2073 2018-12-29 28.1 31.5 24.9 0.0
## 2074 2018-12-28 27.4 29.8 23.7 0.0
## 2075 2018-12-27 27.2 31.4 23.4 65.0
## 2076 2018-12-26 27.7 32.0 24.4 1.1
## 2077 2018-12-25 28.5 32.3 24.3 0.0
## 2078 2018-12-24 28.4 31.8 25.8 0.0
## 2079 2018-12-23 28.2 31.4 23.8 4.0
## 2080 2018-12-22 26.5 31.0 23.6 6.0
## 2081 2018-12-21 27.5 31.8 24.6 0.1
## 2082 2018-12-20 26.4 31.5 24.0 2.0
## 2083 2018-12-19 26.2 30.4 23.8 4.0
## 2084 2018-12-18 26.4 30.9 24.6 30.0
## 2085 2018-12-17 26.1 32.0 23.2 46.0
## 2086 2018-12-16 27.6 31.6 24.7 3.3
## 2087 2018-12-15 28.4 32.3 24.4 9.0
## 2088 2018-12-14 28.5 33.9 23.0 133.0
## 2089 2018-12-13 27.7 32.9 25.1 0.3
## 2090 2018-12-12 27.9 31.5 25.9 3.0
## 2091 2018-12-11 28.4 32.4 25.6 3.0
## 2092 2018-12-10 28.1 30.9 25.1 0.0
## 2093 2018-12-09 27.9 32.1 25.0 14.0
## 2094 2018-12-08 28.1 31.9 24.7 48.0
## 2095 2018-12-07 28.1 31.9 25.2 0.0
## 2096 2018-12-06 27.6 31.5 23.9 52.0
## 2097 2018-12-05 27.9 31.9 24.3 1.8
## 2098 2018-12-04 28.0 31.3 24.3 3.0
## 2099 2018-12-03 28.1 31.1 25.5 6.4
## 2100 2018-12-02 27.5 31.0 24.0 0.0
## 2101 2018-12-01 26.5 32.4 23.8 9.0
## 2102 2018-11-30 28.1 31.8 24.2 5.3
## 2103 2018-11-29 26.6 32.2 23.7 28.0
## 2104 2018-11-28 26.9 31.8 23.3 5.2
## 2105 2018-11-27 27.2 31.7 23.4 0.0
## 2106 2018-11-26 26.6 32.0 23.6 17.0
## 2107 2018-11-25 27.6 30.6 24.9 0.0
## 2108 2018-11-24 28.0 32.2 24.6 0.0
## 2109 2018-11-23 28.0 30.9 24.8 1.6
## 2110 2018-11-22 27.8 31.5 25.2 0.5
## 2111 2018-11-21 27.1 32.0 24.9 12.0
## 2112 2018-11-20 26.7 32.0 22.9 15.0
## 2113 2018-11-19 27.6 30.2 23.0 16.0
## 2114 2018-11-18 26.9 31.4 24.1 11.0
## 2115 2018-11-17 28.5 32.5 25.2 0.0
## 2116 2018-11-16 28.2 32.0 25.2 0.5
## 2117 2018-11-15 28.3 32.5 25.3 1.0
## 2118 2018-11-14 28.8 31.6 24.6 1.0
## 2119 2018-11-13 27.4 31.1 25.1 7.0
## 2120 2018-11-12 27.8 31.9 25.1 1.8
## 2121 2018-11-11 27.7 32.3 25.0 3.0
## 2122 2018-11-10 27.9 31.5 25.1 0.8
## 2123 2018-11-09 27.5 30.5 24.9 1.0
## 2124 2018-11-08 27.4 31.6 24.7 4.5
## 2125 2018-11-07 27.7 31.7 23.6 16.0
## 2126 2018-11-06 28.2 32.0 25.1 2.0
## 2127 2018-11-05 26.9 31.4 24.1 21.8
## 2128 2018-11-04 27.9 31.3 24.8 0.4
## 2129 2018-11-03 26.9 30.1 24.9 0.0
## 2130 2018-11-02 27.1 31.9 25.4 5.0
## 2131 2018-11-01 28.7 31.7 24.8 4.0
## 2132 2018-10-31 28.8 31.9 25.9 0.0
## 2133 2018-10-30 29.0 32.2 26.0 0.0
## 2134 2018-10-29 28.5 31.1 24.0 0.0
## 2135 2018-10-28 28.7 32.6 25.0 10.0
## 2136 2018-10-27 26.7 30.6 24.3 6.8
## 2137 2018-10-26 27.6 32.8 24.4 7.4
## 2138 2018-10-25 28.6 31.8 25.2 0.0
## 2139 2018-10-24 28.4 31.7 25.4 0.0
## 2140 2018-10-23 28.5 31.7 24.8 0.0
## 2141 2018-10-22 27.9 30.6 25.4 0.0
## 2142 2018-10-21 26.9 29.4 23.8 0.0
## 2143 2018-10-20 27.0 30.1 23.6 81.0
## 2144 2018-10-19 27.3 29.4 23.6 13.0
## 2145 2018-10-18 28.6 32.0 26.4 5.0
## 2146 2018-10-17 28.5 31.8 25.3 0.0
## 2147 2018-10-16 28.3 31.5 24.9 0.0
## 2148 2018-10-15 28.3 30.4 24.4 0.0
## 2149 2018-10-14 26.2 29.4 23.3 24.3
## 2150 2018-10-13 26.6 31.1 23.9 20.0
## 2151 2018-10-12 27.1 29.5 25.4 1.5
## 2152 2018-10-11 26.3 29.0 22.9 10.0
## 2153 2018-10-10 27.9 32.0 25.0 7.0
## 2154 2018-10-09 28.1 31.3 24.3 0.0
## 2155 2018-10-08 25.9 29.2 24.3 5.0
## 2156 2018-10-07 27.2 31.0 24.9 26.0
## 2157 2018-10-06 28.0 31.0 25.1 0.3
## 2158 2018-10-05 28.8 32.8 25.9 6.0
## 2159 2018-10-04 29.4 33.1 25.9 0.0
## 2160 2018-10-03 29.1 31.8 25.2 0.0
## 2161 2018-10-02 28.8 32.0 26.2 3.0
## 2162 2018-10-01 29.4 32.6 26.2 0.0
## 2163 2018-09-30 29.5 32.2 27.2 0.0
## 2164 2018-09-29 28.9 31.8 25.8 0.0
## 2165 2018-09-28 28.5 31.1 25.8 0.0
## 2166 2018-09-27 29.3 32.5 26.9 0.0
## 2167 2018-09-26 29.1 32.5 25.9 0.0
## 2168 2018-09-25 29.3 32.4 25.6 0.0
## 2169 2018-09-24 29.1 32.2 26.0 0.0
## 2170 2018-09-23 28.8 32.6 25.1 0.0
## 2171 2018-09-22 28.5 31.6 25.2 0.0
## 2172 2018-09-21 28.6 31.6 26.0 0.0
## 2173 2018-09-20 28.3 33.1 25.2 0.0
## 2174 2018-09-19 27.9 32.0 24.9 0.0
## 2175 2018-09-18 27.6 31.6 24.9 0.8
## 2176 2018-09-17 28.7 30.9 25.2 0.0
## 2177 2018-09-16 28.3 32.0 25.2 0.0
## 2178 2018-09-15 28.2 31.7 25.0 0.0
## 2179 2018-09-14 27.5 30.9 24.0 0.0
## 2180 2018-09-13 28.5 30.6 23.4 0.0
## 2181 2018-09-12 28.0 31.6 23.0 0.0
## 2182 2018-09-11 27.3 31.1 25.0 3.0
## 2183 2018-09-10 27.1 32.0 24.8 7.0
## 2184 2018-09-09 28.0 31.6 24.9 0.7
## 2185 2018-09-08 27.7 29.7 25.4 0.7
## 2186 2018-09-07 27.3 30.4 24.1 4.0
## 2187 2018-09-06 27.3 30.6 24.3 1.4
## 2188 2018-09-05 27.4 31.7 24.3 0.2
## 2189 2018-09-04 28.2 31.0 25.4 0.0
## 2190 2018-09-03 28.0 30.6 24.9 0.0
## 2191 2018-09-02 27.7 31.4 24.7 0.0
## 2192 2018-09-01 28.7 31.2 26.0 0.0
## 2193 2018-08-31 27.0 30.4 24.2 0.0
## 2194 2018-08-30 25.6 30.5 23.2 22.0
## 2195 2018-08-29 28.3 31.2 25.4 0.0
## 2196 2018-08-28 28.1 30.7 25.7 0.5
## 2197 2018-08-27 27.7 31.2 25.2 0.5
## 2198 2018-08-26 28.5 30.8 25.2 0.0
## 2199 2018-08-25 28.0 30.4 25.0 0.0
## 2200 2018-08-24 28.4 30.9 26.1 0.0
## 2201 2018-08-23 28.5 31.4 26.0 0.0
## 2202 2018-08-22 27.8 31.3 24.6 0.0
## 2203 2018-08-21 28.8 31.8 26.4 0.0
## 2204 2018-08-20 28.6 31.5 25.7 0.0
## 2205 2018-08-19 28.2 30.4 25.2 0.0
## 2206 2018-08-18 28.2 30.9 24.0 26.0
## 2207 2018-08-17 27.6 30.8 24.1 36.0
## 2208 2018-08-16 28.1 31.0 25.4 0.0
## 2209 2018-08-15 28.4 30.9 25.9 0.0
## 2210 2018-08-14 28.3 30.3 25.8 0.0
## 2211 2018-08-13 28.3 31.2 25.8 0.2
## 2212 2018-08-12 28.3 31.0 25.2 0.0
## 2213 2018-08-11 28.3 31.4 25.7 0.0
## 2214 2018-08-10 28.3 30.8 26.0 0.0
## 2215 2018-08-09 27.9 30.6 25.4 0.0
## 2216 2018-08-08 28.2 30.8 25.6 0.0
## 2217 2018-08-07 27.6 30.2 24.6 0.0
## 2218 2018-08-06 27.5 30.7 23.4 33.6
## 2219 2018-08-05 27.6 30.4 24.7 0.2
## 2220 2018-08-04 27.3 29.5 24.6 0.3
## 2221 2018-08-03 27.4 30.6 24.6 1.2
## 2222 2018-08-02 25.5 30.4 23.1 48.0
## 2223 2018-08-01 27.5 31.0 24.8 37.0
## 2224 2018-07-31 28.2 30.5 25.9 0.0
## 2225 2018-07-30 28.3 30.6 25.4 0.0
## 2226 2018-07-29 28.3 31.0 26.0 0.0
## 2227 2018-07-28 28.4 30.7 26.3 14.5
## 2228 2018-07-27 28.1 30.0 24.1 6.0
## 2229 2018-07-26 27.3 31.4 22.6 16.0
## 2230 2018-07-25 28.2 30.3 25.6 0.0
## 2231 2018-07-24 28.0 31.1 25.0 7.0
## 2232 2018-07-23 27.1 30.8 24.0 4.7
## 2233 2018-07-22 27.3 30.4 25.1 0.0
## 2234 2018-07-21 28.6 30.7 26.6 0.0
## 2235 2018-07-20 28.2 30.2 26.3 0.0
## 2236 2018-07-19 28.7 31.1 26.0 0.0
## 2237 2018-07-18 28.2 30.7 26.1 0.0
## 2238 2018-07-17 27.9 30.2 25.3 0.3
## 2239 2018-07-16 27.8 30.8 25.2 0.3
## 2240 2018-07-15 27.9 30.1 25.4 0.0
## 2241 2018-07-14 28.0 31.2 24.6 4.0
## 2242 2018-07-13 27.8 30.3 25.2 0.0
## 2243 2018-07-12 27.8 30.8 25.2 0.4
## 2244 2018-07-11 27.8 29.6 25.9 0.0
## 2245 2018-07-10 27.7 30.2 26.4 0.0
## 2246 2018-07-09 28.1 30.3 26.2 4.2
## 2247 2018-07-08 27.8 30.3 25.5 16.8
## 2248 2018-07-07 27.0 29.5 24.4 0.0
## 2249 2018-07-06 25.5 28.9 24.0 132.0
## 2250 2018-07-05 26.1 29.9 24.6 5.0
## 2251 2018-07-04 26.3 28.8 24.2 3.0
## 2252 2018-07-03 25.5 28.3 23.7 4.0
## 2253 2018-07-02 25.8 29.0 23.7 10.0
## 2254 2018-07-01 25.7 28.5 22.9 148.4
## 2255 2018-06-30 26.6 29.7 23.3 46.0
## 2256 2018-06-29 25.4 29.2 23.2 20.6
## 2257 2018-06-28 26.7 29.4 23.9 10.0
## 2258 2018-06-27 26.2 29.2 23.9 5.0
## 2259 2018-06-26 26.5 29.0 24.6 0.6
## 2260 2018-06-25 27.6 30.6 24.7 0.2
## 2261 2018-06-24 27.6 29.8 24.7 4.0
## 2262 2018-06-23 26.8 29.6 24.4 8.0
## 2263 2018-06-22 27.7 30.4 24.1 1.5
## 2264 2018-06-21 26.2 30.1 23.6 66.5
## 2265 2018-06-20 27.3 31.1 24.0 21.5
## 2266 2018-06-19 27.8 30.2 25.4 10.0
## 2267 2018-06-18 28.5 30.5 24.2 0.0
## 2268 2018-06-17 26.8 30.8 23.1 28.9
## 2269 2018-06-16 27.3 29.5 24.6 17.1
## 2270 2018-06-15 28.2 30.6 25.0 9.0
## 2271 2018-06-14 28.7 30.7 25.2 0.2
## 2272 2018-06-13 26.9 30.0 24.7 7.0
## 2273 2018-06-12 28.4 31.9 25.9 7.0
## 2274 2018-06-11 29.2 31.0 26.6 0.0
## 2275 2018-06-10 28.8 31.4 26.8 0.0
## 2276 2018-06-09 28.8 31.0 25.6 0.0
## 2277 2018-06-08 29.0 32.3 25.0 0.0
## 2278 2018-06-07 28.5 31.8 24.0 2.0
## 2279 2018-06-06 28.3 30.9 25.9 0.0
## 2280 2018-06-05 28.5 31.4 25.6 0.0
## 2281 2018-06-04 27.3 30.0 24.9 0.0
## 2282 2018-06-03 28.6 30.8 25.2 0.4
## 2283 2018-06-02 28.3 30.9 25.8 0.0
## 2284 2018-06-01 26.8 30.5 24.8 6.0
## 2285 2018-05-31 27.6 31.3 24.2 29.5
## 2286 2018-05-30 26.5 30.1 24.4 18.0
## 2287 2018-05-29 27.2 30.8 24.9 30.0
## 2288 2018-05-28 27.6 32.1 25.0 15.0
## 2289 2018-05-27 27.0 31.3 24.4 0.0
## 2290 2018-05-26 27.1 32.4 25.3 26.0
## 2291 2018-05-25 28.2 30.8 25.9 0.0
## 2292 2018-05-24 27.3 30.4 24.8 13.0
## 2293 2018-05-23 27.7 32.3 24.3 69.0
## 2294 2018-05-22 28.3 32.3 24.2 17.0
## 2295 2018-05-21 27.4 30.1 24.9 0.0
## 2296 2018-05-20 27.5 31.2 24.4 43.0
## 2297 2018-05-19 28.1 31.0 25.1 0.4
## 2298 2018-05-18 27.5 29.8 25.0 0.2
## 2299 2018-05-17 27.9 31.4 24.0 0.2
## 2300 2018-05-16 28.3 31.9 22.7 21.3
## 2301 2018-05-15 28.4 30.8 25.6 0.0
## 2302 2018-05-14 28.4 32.0 24.4 35.0
## 2303 2018-05-13 27.9 30.2 25.7 0.0
## 2304 2018-05-12 27.6 29.6 24.4 24.0
## 2305 2018-05-11 27.3 32.9 24.8 21.0
## 2306 2018-05-10 28.8 32.0 26.0 0.0
## 2307 2018-05-09 27.9 31.2 24.9 3.0
## 2308 2018-05-08 28.7 32.3 24.4 11.0
## 2309 2018-05-07 29.0 32.5 26.4 0.0
## 2310 2018-05-06 29.0 32.3 26.0 0.0
## 2311 2018-05-05 28.8 31.3 25.8 0.0
## 2312 2018-05-04 28.8 31.6 24.8 0.0
## 2313 2018-05-03 27.9 30.2 24.6 9.0
## 2314 2018-05-02 27.2 29.7 23.3 0.0
## 2315 2018-05-01 27.5 31.4 24.2 36.5
## 2316 2018-04-30 27.7 31.3 25.0 0.0
## 2317 2018-04-29 28.0 31.0 24.8 0.0
## 2318 2018-04-28 27.9 31.7 25.3 0.0
## 2319 2018-04-27 26.5 30.0 24.4 0.0
## 2320 2018-04-26 26.8 31.2 26.3 1.7
## 2321 2018-04-25 27.0 30.0 24.8 5.0
## 2322 2018-04-24 28.5 31.2 26.0 4.0
## 2323 2018-04-23 28.3 31.2 25.0 1.0
## 2324 2018-04-22 27.5 30.7 24.8 0.0
## 2325 2018-04-21 26.1 32.2 23.7 26.0
## 2326 2018-04-20 28.3 30.9 25.4 0.0
## 2327 2018-04-19 27.5 30.0 24.8 0.0
## 2328 2018-04-18 27.9 32.1 25.2 0.0
## 2329 2018-04-17 27.8 31.4 25.0 0.0
## 2330 2018-04-16 27.7 32.7 25.8 8.0
## 2331 2018-04-15 28.0 32.6 25.4 0.0
## 2332 2018-04-14 27.6 30.3 25.6 16.0
## 2333 2018-04-13 27.3 31.9 25.0 16.0
## 2334 2018-04-12 27.6 31.6 25.2 0.1
## 2335 2018-04-11 28.3 32.0 25.0 0.0
## 2336 2018-04-10 28.3 32.4 25.4 0.0
## 2337 2018-04-09 28.6 32.4 25.2 0.0
## 2338 2018-04-08 27.4 31.7 24.3 3.0
## 2339 2018-04-07 26.4 31.3 24.1 16.0
## 2340 2018-04-06 26.9 31.6 24.8 1.0
## 2341 2018-04-05 27.2 31.0 24.9 0.0
## 2342 2018-04-04 26.7 31.0 23.8 9.5
## 2343 2018-04-03 26.7 31.9 23.1 48.0
## 2344 2018-04-02 27.5 31.8 24.4 4.0
## 2345 2018-04-01 26.9 31.7 24.3 10.0
## 2346 2018-03-31 26.0 30.5 23.4 9.3
## 2347 2018-03-30 26.7 31.9 22.7 13.0
## 2348 2018-03-29 27.9 31.9 25.6 1.0
## 2349 2018-03-28 27.2 31.3 25.1 31.0
## 2350 2018-03-27 27.4 31.2 24.2 31.0
## 2351 2018-03-26 26.1 30.8 23.9 1.1
## 2352 2018-03-25 27.0 31.3 24.4 7.2
## 2353 2018-03-24 27.4 31.9 25.2 4.0
## 2354 2018-03-23 27.2 30.7 23.0 0.0
## 2355 2018-03-22 24.8 32.7 22.7 56.8
## 2356 2018-03-21 27.7 32.3 25.2 2.0
## 2357 2018-03-20 28.3 32.3 23.9 0.9
## 2358 2018-03-19 28.1 31.9 23.7 0.0
## 2359 2018-03-18 26.4 31.4 22.9 91.0
## 2360 2018-03-17 27.7 30.7 23.9 0.0
## 2361 2018-03-16 26.5 33.6 23.6 19.5
## 2362 2018-03-15 26.9 30.8 23.0 29.4
## 2363 2018-03-14 27.5 33.4 24.6 16.0
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## 3472 2015-03-01 27.5 32.4 22.9 0.0
## 3473 2015-02-28 28.1 32.6 23.8 26.0
## 3474 2015-02-27 28.4 31.9 25.4 0.0
## 3475 2015-02-26 28.2 31.0 24.7 10.0
## 3476 2015-02-25 27.4 30.9 24.9 0.0
## 3477 2015-02-24 28.1 33.8 24.8 0.0
## 3478 2015-02-23 28.9 33.7 24.8 0.0
## 3479 2015-02-22 27.3 32.3 24.4 0.0
## 3480 2015-02-21 27.2 29.5 23.8 4.0
## 3481 2015-02-20 27.4 31.4 23.2 0.0
## 3482 2015-02-19 27.3 32.6 23.2 43.5
## 3483 2015-02-18 27.2 31.0 24.3 0.0
## 3484 2015-02-17 27.8 33.3 25.5 0.0
## 3485 2015-02-16 27.9 32.8 25.0 0.0
## 3486 2015-02-15 27.0 30.2 25.0 3.0
## 3487 2015-02-14 26.6 30.2 24.5 5.0
## 3488 2015-02-13 26.3 30.8 23.9 45.0
## 3489 2015-02-12 25.3 29.3 23.3 81.0
## 3490 2015-02-11 26.3 32.0 23.6 19.0
## 3491 2015-02-10 26.7 32.0 23.9 7.0
## 3492 2015-02-09 26.7 31.3 24.1 42.0
## 3493 2015-02-08 27.5 31.6 23.8 0.0
## 3494 2015-02-07 26.6 30.6 23.6 8.0
## 3495 2015-02-06 25.8 29.6 23.7 21.0
## 3496 2015-02-05 24.6 30.2 23.6 39.5
## 3497 2015-02-04 25.9 30.4 23.7 28.3
## 3498 2015-02-03 26.2 29.3 22.6 77.0
## 3499 2015-02-02 25.6 28.9 23.5 1.0
## 3500 2015-02-01 26.3 28.4 23.6 0.0
## 3501 2015-01-31 26.3 31.2 23.1 99.0
## 3502 2015-01-30 26.4 32.8 23.8 70.8
## 3503 2015-01-29 27.5 31.9 24.2 0.0
## 3504 2015-01-28 27.3 30.6 23.7 8.0
## 3505 2015-01-27 27.6 29.9 24.4 0.0
## 3506 2015-01-26 27.4 31.4 24.1 0.0
## 3507 2015-01-25 28.0 31.4 24.2 3.0
## 3508 2015-01-24 27.4 31.2 25.2 0.0
## 3509 2015-01-23 27.4 31.4 24.0 0.0
## 3510 2015-01-22 26.8 30.1 23.5 9.0
## 3511 2015-01-21 26.3 30.4 23.8 31.0
## 3512 2015-01-20 26.6 30.1 22.6 22.7
## 3513 2015-01-19 25.1 30.1 22.8 32.9
## 3514 2015-01-18 26.7 31.4 24.3 48.5
## 3515 2015-01-17 28.3 31.8 25.6 0.0
## 3516 2015-01-16 27.9 31.8 25.1 8.2
## 3517 2015-01-15 27.3 31.4 24.8 44.0
## 3518 2015-01-14 27.4 32.0 25.0 3.0
## 3519 2015-01-13 27.5 30.8 25.1 1.0
## 3520 2015-01-12 27.0 31.6 24.1 1.5
## 3521 2015-01-11 26.5 30.7 23.8 0.3
## 3522 2015-01-10 26.7 30.9 23.7 0.2
## 3523 2015-01-09 26.0 30.6 23.3 8.0
## 3524 2015-01-08 26.0 28.4 22.8 12.0
## 3525 2015-01-07 26.7 30.2 22.8 2.2
## 3526 2015-01-06 26.5 29.8 23.2 12.0
## 3527 2015-01-05 27.5 32.4 24.3 1.2
## 3528 2015-01-04 26.9 32.4 24.2 38.0
## 3529 2015-01-03 27.9 30.9 24.9 0.9
## 3530 2015-01-02 28.6 31.0 25.4 0.0
## 3531 2015-01-01 27.8 31.8 24.6 8.0
## 3532 2014-12-31 28.4 32.5 24.5 3.0
## 3533 2014-12-30 27.7 31.2 24.9 0.0
## 3534 2014-12-29 27.5 31.0 25.1 0.0
## 3535 2014-12-28 27.4 30.3 25.4 0.0
## 3536 2014-12-27 28.5 35.0 25.8 0.0
## 3537 2014-12-26 28.3 32.4 25.4 0.0
## 3538 2014-12-25 28.2 32.0 24.9 0.0
## 3539 2014-12-24 27.1 33.2 24.0 72.0
## 3540 2014-12-23 28.6 31.7 25.3 0.0
## 3541 2014-12-22 27.7 30.9 24.7 0.0
## 3542 2014-12-21 27.0 31.8 25.1 8.6
## 3543 2014-12-20 26.3 31.3 23.9 34.0
## 3544 2014-12-19 29.0 32.7 24.6 15.0
## 3545 2014-12-18 28.1 32.7 24.4 83.0
## 3546 2014-12-17 28.4 31.7 24.9 0.0
## 3547 2014-12-16 28.0 32.4 25.4 7.0
## 3548 2014-12-15 28.8 32.1 24.4 64.0
## 3549 2014-12-14 27.8 32.1 25.4 12.0
## 3550 2014-12-13 28.2 32.7 24.7 0.0
## 3551 2014-12-12 27.5 32.3 24.0 1.2
## 3552 2014-12-11 26.5 31.1 23.9 18.0
## 3553 2014-12-10 26.7 30.1 24.6 36.1
## 3554 2014-12-09 27.1 33.3 23.4 56.1
## 3555 2014-12-08 27.1 32.3 22.1 56.0
## 3556 2014-12-07 27.2 31.2 23.7 0.0
## 3557 2014-12-06 26.6 33.1 23.4 30.0
## 3558 2014-12-05 28.0 33.7 23.4 16.0
## 3559 2014-12-04 28.3 34.0 23.6 4.5
## 3560 2014-12-03 27.2 30.4 24.1 2.5
## 3561 2014-12-02 26.6 32.4 23.2 195.0
## 3562 2014-12-01 27.7 32.4 24.8 0.0
## 3563 2014-11-30 28.4 32.4 24.8 2.0
## 3564 2014-11-29 27.5 31.2 24.8 4.0
## 3565 2014-11-28 28.6 32.8 25.1 0.0
## 3566 2014-11-27 29.1 32.5 24.6 21.0
## 3567 2014-11-26 28.3 31.7 25.4 0.0
## 3568 2014-11-25 27.7 31.6 24.7 0.0
## 3569 2014-11-24 27.9 32.3 25.4 2.0
## 3570 2014-11-23 28.3 32.3 25.4 0.0
## 3571 2014-11-22 28.3 32.1 25.5 1.0
## 3572 2014-11-21 28.1 33.2 24.0 81.0
## 3573 2014-11-20 29.2 33.4 24.9 2.0
## 3574 2014-11-19 29.1 32.9 25.1 0.0
## 3575 2014-11-18 29.1 32.4 25.9 0.0
## 3576 2014-11-17 28.6 31.8 24.8 10.0
## 3577 2014-11-16 26.4 31.2 24.2 2.0
## 3578 2014-11-15 27.1 32.0 24.4 5.0
## 3579 2014-11-14 27.7 31.5 25.5 0.0
## 3580 2014-11-13 28.1 31.2 24.7 3.1
## 3581 2014-11-12 27.9 34.2 24.7 11.0
## 3582 2014-11-11 28.0 31.9 25.0 1.0
## 3583 2014-11-10 26.9 31.6 24.1 31.0
## 3584 2014-11-09 28.4 31.3 24.4 0.8
## 3585 2014-11-08 27.2 32.0 24.5 13.2
## 3586 2014-11-07 28.2 31.4 25.7 0.0
## 3587 2014-11-06 28.2 32.4 25.7 0.0
## 3588 2014-11-05 28.7 31.9 26.2 0.0
## 3589 2014-11-04 29.2 31.8 26.8 0.0
## 3590 2014-11-03 29.3 31.9 26.7 0.0
## 3591 2014-11-02 28.5 31.7 25.3 0.0
## 3592 2014-11-01 28.8 31.9 25.4 0.0
## 3593 2014-10-31 29.3 32.6 26.0 0.0
## 3594 2014-10-30 28.0 31.1 25.0 0.0
## 3595 2014-10-29 27.1 31.1 22.9 96.0
## 3596 2014-10-28 29.3 32.2 26.7 0.0
## 3597 2014-10-27 29.3 31.5 26.1 0.0
## 3598 2014-10-26 28.3 31.7 25.8 5.0
## 3599 2014-10-25 28.7 32.2 25.7 0.0
## 3600 2014-10-24 28.5 31.6 25.3 4.0
## 3601 2014-10-23 28.6 32.0 25.3 13.0
## 3602 2014-10-22 28.5 33.1 25.5 11.0
## 3603 2014-10-21 29.3 34.7 22.9 37.0
## 3604 2014-10-20 29.6 33.3 26.0 0.0
## 3605 2014-10-19 29.4 34.0 26.7 0.0
## 3606 2014-10-18 29.5 33.3 26.3 0.0
## 3607 2014-10-17 29.5 32.8 26.8 0.0
## 3608 2014-10-16 29.4 33.2 26.7 0.0
## 3609 2014-10-15 29.6 33.8 26.7 0.0
## 3610 2014-10-14 29.5 33.3 25.7 0.0
## 3611 2014-10-13 28.6 32.8 25.1 0.0
## 3612 2014-10-12 28.8 31.6 24.9 0.0
## 3613 2014-10-11 28.6 31.3 25.1 0.0
## 3614 2014-10-10 28.7 31.9 25.5 0.0
## 3615 2014-10-09 29.2 32.6 25.8 0.0
## 3616 2014-10-08 28.4 32.7 24.4 0.0
## 3617 2014-10-07 29.1 31.7 24.2 0.0
## 3618 2014-10-06 28.6 31.3 24.9 0.0
## 3619 2014-10-05 28.7 30.8 25.2 0.0
## 3620 2014-10-04 28.8 33.0 25.2 0.0
## 3621 2014-10-03 29.1 32.7 25.2 0.0
## 3622 2014-10-02 28.7 32.8 25.3 0.0
## 3623 2014-10-01 29.2 31.9 25.9 0.0
## 3624 2014-09-30 29.0 32.7 26.0 0.0
## 3625 2014-09-29 28.6 32.7 26.1 0.0
## 3626 2014-09-28 29.6 32.6 26.8 0.0
## 3627 2014-09-27 29.3 32.6 26.4 0.0
## 3628 2014-09-26 29.0 32.3 26.1 0.0
## 3629 2014-09-25 28.6 31.3 24.7 0.0
## 3630 2014-09-24 28.8 31.8 25.1 0.0
## 3631 2014-09-23 29.1 32.4 26.3 0.0
## 3632 2014-09-22 29.1 32.4 25.8 0.0
## 3633 2014-09-21 28.7 31.8 25.3 0.0
## 3634 2014-09-20 28.6 31.4 25.4 0.0
## 3635 2014-09-19 28.5 32.5 25.1 0.0
## 3636 2014-09-18 29.0 31.6 24.8 0.0
## 3637 2014-09-17 28.3 31.6 24.9 0.0
## 3638 2014-09-16 27.8 31.1 23.8 0.0
## 3639 2014-09-15 27.7 31.0 23.8 0.0
## 3640 2014-09-14 27.9 30.3 25.4 0.0
## 3641 2014-09-13 26.8 29.4 24.3 0.0
## 3642 2014-09-12 27.7 30.4 25.7 0.0
## 3643 2014-09-11 28.1 30.8 25.4 0.0
## 3644 2014-09-10 27.8 30.8 24.9 0.0
## 3645 2014-09-09 27.8 31.2 25.6 0.0
## 3646 2014-09-08 27.5 30.7 23.3 2.6
## 3647 2014-09-07 28.1 31.2 23.2 14.4
## 3648 2014-09-06 27.8 30.4 25.0 0.0
## 3649 2014-09-05 27.9 29.4 25.3 0.0
## 3650 2014-09-04 27.8 31.1 25.7 0.0
## 3651 2014-09-03 28.3 30.2 24.7 0.0
## 3652 2014-09-02 28.4 30.9 24.7 0.0
## 3653 2014-09-01 28.5 30.5 25.3 0.0
## 3654 2014-08-31 27.3 30.0 24.7 0.0
## 3655 2014-08-30 26.6 28.4 23.3 35.3
## 3656 2014-08-29 26.4 29.6 25.6 39.0
## 3657 2014-08-28 27.6 30.9 25.4 6.1
## 3658 2014-08-27 27.7 30.8 25.3 1.0
## 3659 2014-08-26 27.9 30.7 25.3 0.0
## 3660 2014-08-25 27.7 30.3 24.7 0.0
## 3661 2014-08-24 27.3 30.1 24.8 11.0
## 3662 2014-08-23 27.9 30.9 25.2 2.8
## 3663 2014-08-22 27.1 30.2 24.3 3.0
## 3664 2014-08-21 25.7 30.6 23.8 3.7
## 3665 2014-08-20 27.1 29.8 24.7 0.0
## 3666 2014-08-19 26.5 28.9 23.2 1.2
## 3667 2014-08-18 27.1 31.1 24.0 40.0
## 3668 2014-08-17 27.4 29.8 24.7 0.0
## 3669 2014-08-16 27.4 28.8 24.8 0.0
## 3670 2014-08-15 27.3 31.2 24.7 19.0
## 3671 2014-08-14 27.5 30.3 24.8 0.0
## 3672 2014-08-13 28.1 30.8 24.9 0.0
## 3673 2014-08-12 27.9 30.2 24.9 0.0
## 3674 2014-08-11 26.5 29.9 23.9 0.3
## 3675 2014-08-10 25.7 28.2 24.4 6.5
## 3676 2014-08-09 26.4 29.3 24.3 12.0
## 3677 2014-08-08 27.4 31.2 23.7 6.0
## 3678 2014-08-07 27.9 31.9 24.3 17.0
## 3679 2014-08-06 27.9 31.7 24.5 0.0
## 3680 2014-08-05 28.5 31.1 25.8 0.1
## 3681 2014-08-04 28.6 30.4 25.5 0.2
## 3682 2014-08-03 28.2 30.8 22.1 14.9
## 3683 2014-08-02 27.7 31.1 24.7 20.0
## 3684 2014-08-01 28.4 31.4 25.5 0.0## TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## 1 28.0 30.3 25.1 0.0
## 2 28.0 31.2 24.7 0.6
## 3 27.1 30.4 24.8 0.3
## 4 26.1 29.0 24.1 1.0
## 5 26.8 30.0 24.7 111.3
## 6 26.9 28.4 24.2 1.9
## 7 26.5 28.0 24.6 29.0
## 8 26.8 30.8 24.7 9.0
## 9 26.1 29.8 24.0 7.0
## 10 25.9 28.4 24.9 10.0
## 11 27.4 29.7 25.6 13.6
## 12 27.7 29.4 24.1 44.0
## 13 26.2 29.2 24.2 44.0
## 14 27.3 30.2 24.7 6.0
## 15 28.2 30.2 25.0 0.3
## 16 26.5 30.2 24.0 12.0
## 17 26.7 29.2 24.4 100.0
## 18 27.6 30.0 25.4 65.0
## 19 27.7 29.7 25.0 0.0
## 20 27.9 30.3 24.9 7.2
## 21 28.3 31.3 25.6 0.0
## 22 27.7 30.9 23.3 19.0
## 23 25.8 30.4 23.5 106.5
## 24 26.3 30.0 23.4 20.0
## 25 26.8 28.5 24.2 54.2
## 26 27.5 30.6 24.4 3.9
## 27 28.1 30.4 23.7 73.0
## 28 27.7 29.6 25.0 75.1
## 29 27.3 28.9 25.1 9.3
## 30 28.4 30.8 26.5 20.0
## 31 28.9 31.4 25.7 0.0
## 32 28.4 31.5 25.4 8.0
## 33 29.3 31.5 27.1 0.0
## 34 29.2 31.7 26.7 0.0
## 35 28.8 31.0 25.6 0.0
## 36 28.9 31.8 26.1 0.0
## 37 28.5 30.4 24.7 0.0
## 38 27.8 31.1 24.9 81.2
## 39 28.7 31.3 26.7 0.0
## 40 27.7 31.2 25.0 0.0
## 41 27.9 30.6 25.6 26.8
## 42 28.3 31.2 26.2 16.0
## 43 28.4 30.5 26.4 0.0
## 44 26.8 30.6 24.3 0.0
## 45 28.6 30.3 25.8 0.8
## 46 28.1 30.4 24.7 0.0
## 47 28.3 31.0 24.7 30.0
## 48 28.4 30.9 24.8 0.0
## 49 26.8 30.4 24.8 82.0
## 50 27.5 29.8 25.8 0.0
## 51 27.9 30.8 25.9 0.0
## 52 28.4 30.7 24.7 0.0
## 53 26.3 30.2 22.9 0.3
## 54 27.1 29.2 23.2 47.0
## 55 25.6 29.1 23.7 10.0
## 56 27.3 30.9 23.9 37.0
## 57 27.8 31.7 23.9 35.0
## 58 28.4 31.7 25.4 0.0
## 59 26.7 31.0 24.3 2.2
## 60 25.9 27.9 24.3 19.7
## 61 27.0 30.1 25.2 9.2
## 62 27.7 30.1 25.6 0.8
## 63 27.3 30.0 24.1 9.4
## 64 27.2 31.1 24.1 34.0
## 65 28.8 31.8 26.3 4.0
## 66 29.1 31.6 25.5 0.0
## 67 28.2 30.8 25.0 0.0
## 68 26.3 29.7 24.7 0.0
## 69 26.4 30.1 24.4 20.6
## 70 27.1 30.6 23.8 36.2
## 71 28.4 31.2 25.7 3.0
## 72 28.8 31.2 25.4 0.3
## 73 26.9 31.1 24.9 4.0
## 74 27.1 31.3 24.6 12.0
## 75 27.4 31.8 24.7 35.0
## 76 28.3 31.1 24.5 0.0
## 77 28.1 30.7 24.5 8.0
## 78 27.2 29.6 25.0 13.1
## 79 26.6 29.1 25.0 2.7
## 80 27.8 31.7 24.7 31.0
## 81 27.8 32.2 25.2 2.0
## 82 27.0 32.2 25.4 1.4
## 83 28.4 31.7 24.5 10.0
## 84 28.0 31.6 26.1 0.0
## 85 27.4 31.3 24.7 34.0
## 86 27.7 30.4 24.8 0.1
## 87 27.6 31.7 25.3 10.6
## 88 27.7 30.4 24.1 5.2
## 89 27.8 31.4 24.2 68.8
## 90 27.6 31.1 24.9 1.0
## 91 27.3 32.9 25.2 58.2
## 92 29.2 32.9 25.6 3.0
## 93 29.0 31.7 26.4 0.0
## 94 28.2 33.0 25.3 16.0
## 95 28.8 32.1 26.7 0.0
## 96 27.4 31.0 24.2 4.0
## 97 26.5 29.9 24.4 47.5
## 98 28.6 31.9 26.1 50.0
## 99 29.5 32.1 25.0 0.0
## 100 28.5 31.7 26.2 0.0
## 101 28.6 31.5 25.8 11.0
## 102 29.0 32.3 25.4 37.0
## 103 28.3 31.0 24.1 40.0
## 104 28.3 32.8 25.1 20.0
## 105 28.4 32.8 24.8 74.0
## 106 28.7 30.6 25.2 0.0
## 107 28.3 32.6 25.2 2.8
## 108 30.1 32.1 27.2 0.0
## 109 29.5 32.3 26.3 0.0
## 110 29.4 32.3 26.3 13.0
## 111 28.1 32.1 24.7 0.0
## 112 27.7 32.3 25.1 22.0
## 113 29.0 32.1 25.8 8.1
## 114 28.6 32.0 25.8 0.0
## 115 28.0 32.1 26.3 0.0
## 116 29.8 33.0 26.7 0.0
## 117 29.5 31.9 24.8 0.0
## 118 27.7 30.6 24.9 5.5
## 119 28.8 32.3 24.9 21.5
## 120 27.0 31.6 24.8 0.1
## 121 27.6 31.9 25.0 19.0
## 122 29.7 33.3 26.0 11.1
## 123 29.2 32.6 26.7 0.0
## 124 28.0 31.6 25.0 0.5
## 125 28.7 32.7 25.7 25.0
## 126 28.7 32.3 25.7 21.0
## 127 29.1 33.6 26.2 0.6
## 128 29.3 32.5 25.8 0.0
## 129 27.7 31.8 25.3 5.0
## 130 27.6 33.2 25.5 14.0
## 131 29.3 33.4 26.3 0.3
## 132 29.4 33.8 26.3 0.0
## 133 29.4 32.7 26.4 0.8
## 134 29.8 33.6 26.3 0.0
## 135 29.0 32.9 26.5 0.0
## 136 29.8 33.0 26.2 0.0
## 137 29.5 32.8 25.1 0.0
## 138 29.4 32.2 26.5 0.0
## 139 29.4 32.6 26.4 0.0
## 140 29.6 32.8 26.3 0.0
## 141 29.4 32.6 26.1 0.0
## 142 29.6 33.2 25.0 0.0
## 143 29.0 33.0 26.3 0.0
## 144 29.4 34.5 25.1 2.0
## 145 27.7 34.5 24.9 12.0
## 146 29.7 34.8 26.4 0.0
## 147 29.8 35.2 26.6 0.0
## 148 30.1 34.4 25.6 0.0
## 149 29.9 34.8 25.5 0.0
## 150 29.5 34.0 25.5 0.0
## 151 29.0 33.0 25.1 0.0
## 152 28.2 32.0 25.0 0.0
## 153 27.4 31.1 25.8 5.0
## 154 28.7 32.1 24.8 4.0
## 155 27.5 30.7 24.4 0.0
## 156 26.1 28.6 24.3 103.3
## 157 27.7 32.4 24.9 39.0
## 158 28.9 32.4 24.9 12.0
## 159 29.3 33.9 26.0 0.0
## 160 29.5 33.4 25.2 0.0
## 161 28.9 33.2 25.0 0.0
## 162 27.6 31.3 24.3 0.3
## 163 27.4 31.4 24.7 3.3
## 164 28.1 32.0 24.7 0.0
## 165 28.6 31.8 23.7 0.0
## 166 28.2 33.5 23.2 35.5
## 167 28.7 32.1 25.0 0.0
## 168 28.4 32.6 25.0 0.0
## 169 28.8 33.9 25.0 0.0
## 170 29.3 33.9 25.6 0.0
## 171 28.8 32.3 24.5 0.0
## 172 27.7 33.1 23.8 34.8
## 173 28.9 32.2 24.5 0.0
## 174 27.0 32.6 24.5 0.0
## 175 25.9 32.6 24.9 4.0
## 176 28.5 33.2 25.0 24.0
## 177 28.4 32.6 25.1 0.0
## 178 28.5 32.9 24.8 22.9
## 179 28.6 32.7 25.8 0.0
## 180 27.8 32.7 26.0 11.7
## 181 28.4 32.4 26.0 6.1
## 182 28.7 33.2 26.0 0.1
## 183 29.0 32.7 25.8 0.0
## 184 30.1 34.5 25.7 0.0
## 185 29.7 34.2 25.9 0.0
## 186 29.0 32.7 24.8 0.0
## 187 27.2 31.3 24.5 0.6
## 188 27.4 35.6 24.4 21.5
## 189 29.4 34.1 24.8 11.0
## 190 29.6 33.3 26.2 0.0
## 191 29.4 35.4 26.2 0.0
## 192 30.0 34.6 26.3 0.0
## 193 29.5 33.7 25.7 0.0
## 194 29.3 33.3 25.6 0.0
## 195 29.3 34.0 25.4 0.0
## 196 29.1 34.7 25.4 0.0
## 197 29.2 34.7 24.8 0.0
## 198 28.8 34.0 25.6 0.0
## 199 28.7 33.0 25.1 0.0
## 200 28.6 32.8 25.1 0.0
## 201 27.9 32.6 24.7 0.0
## 202 27.4 32.0 24.9 10.0
## 203 27.4 31.6 24.9 6.0
## 204 26.8 31.4 24.9 15.0
## 205 28.7 33.1 26.0 11.5
## 206 28.3 32.2 24.5 0.0
## 207 27.7 32.7 23.3 122.0
## 208 29.1 32.8 24.7 0.0
## 209 28.1 32.1 24.0 71.0
## 210 27.3 32.2 25.0 20.5
## 211 27.2 32.2 24.6 18.0
## 212 28.8 32.1 24.1 0.0
## 213 26.3 31.7 24.1 9.0
## 214 29.1 32.5 25.0 0.0
## 215 28.7 32.2 25.4 0.0
## 216 28.8 33.4 25.0 0.0
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## 1683 28.5 33.8 24.5 0.0
## 1684 28.6 34.1 25.0 0.0
## 1685 29.1 34.0 25.0 0.0
## 1686 29.0 33.3 24.1 0.0
## 1687 27.5 31.7 24.1 8.0
## 1688 27.8 31.9 24.9 0.0
## 1689 28.3 31.6 23.9 2.0
## 1690 27.5 30.7 24.4 0.0
## 1691 26.7 31.4 24.5 2.0
## 1692 27.9 31.3 25.0 0.0
## 1693 27.1 30.6 24.7 0.0
## 1694 26.6 31.2 23.3 30.0
## 1695 27.5 32.4 24.1 13.0
## 1696 28.5 33.6 24.5 0.0
## 1697 28.4 32.4 24.3 0.0
## 1698 28.2 31.8 24.6 0.0
## 1699 27.8 31.4 24.1 0.0
## 1700 27.2 31.0 24.0 0.0
## 1701 27.0 31.4 24.0 3.0
## 1702 27.1 30.4 24.0 0.0
## 1703 25.8 31.4 24.4 12.5
## 1704 27.9 34.3 24.3 19.0
## 1705 28.7 33.4 24.5 0.6
## 1706 28.8 32.8 24.7 0.0
## 1707 28.4 32.4 24.4 0.0
## 1708 28.2 31.8 24.4 0.0
## 1709 27.9 32.7 24.9 0.0
## 1710 28.2 31.2 25.5 0.0
## 1711 27.8 31.7 24.8 3.2
## 1712 28.3 31.3 25.1 4.0
## 1713 27.3 31.4 25.0 24.0
## 1714 27.6 31.2 25.3 0.5
## 1715 27.8 32.2 24.2 23.0
## 1716 28.0 31.4 24.2 0.0
## 1717 27.0 31.4 24.8 3.0
## 1718 27.5 30.2 25.2 0.0
## 1719 26.6 30.8 24.2 0.0
## 1720 27.7 30.3 24.0 1.0
## 1721 26.8 30.6 23.9 27.0
## 1722 27.7 31.8 23.6 19.0
## 1723 26.4 30.5 23.3 32.0
## 1724 26.5 31.4 23.7 33.7
## 1725 28.1 31.9 24.7 6.2
## 1726 27.6 32.2 25.1 0.0
## 1727 28.0 31.7 25.0 0.0
## 1728 27.7 32.4 25.0 0.0
## 1729 28.6 32.7 25.6 0.0
## 1730 28.0 32.5 24.4 0.0
## 1731 27.9 30.5 25.9 0.0
## 1732 27.3 29.7 24.8 0.0
## 1733 28.0 33.2 24.1 6.4
## 1734 28.7 33.6 25.8 0.0
## 1735 28.9 33.6 25.3 0.0
## 1736 28.6 32.8 26.1 0.4
## 1737 29.1 32.5 25.2 0.0
## 1738 29.5 33.8 25.2 0.0
## 1739 28.7 33.0 25.2 0.0
## 1740 28.0 31.6 25.0 0.0
## 1741 28.3 32.3 25.0 0.0
## 1742 28.4 32.0 23.8 0.8
## 1743 27.9 32.2 23.8 0.0
## 1744 28.2 32.8 25.6 16.0
## 1745 28.4 32.8 25.3 0.2
## 1746 28.9 31.7 26.2 0.2
## 1747 29.1 31.6 26.2 0.0
## 1748 28.2 32.7 25.1 0.0
## 1749 28.7 32.9 25.6 0.0
## 1750 28.8 32.9 24.6 0.0
## 1751 28.6 31.8 26.6 2.0
## 1752 29.0 32.9 25.0 0.0
## 1753 28.8 31.9 24.9 0.0
## 1754 27.5 31.0 24.7 0.0
## 1755 27.6 30.7 24.4 14.0
## 1756 28.6 31.6 25.5 5.0
## 1757 27.1 31.2 24.0 0.0
## 1758 28.6 31.9 25.8 22.0
## 1759 28.8 31.2 26.2 0.0
## 1760 28.2 31.4 26.4 0.0
## 1761 28.9 31.6 26.2 2.0
## 1762 29.0 31.2 26.5 0.0
## 1763 28.6 31.3 23.4 3.0
## 1764 27.5 31.2 23.5 20.0
## 1765 27.0 30.6 23.3 4.0
## 1766 26.6 31.4 23.0 6.2
## 1767 29.3 32.3 26.5 0.0
## 1768 28.9 31.6 25.6 0.0
## 1769 28.4 31.2 25.6 0.0
## 1770 28.8 30.8 25.0 0.0
## 1771 27.6 30.8 24.2 0.0
## 1772 27.6 32.6 23.0 15.2
## 1773 28.5 32.4 23.8 21.0
## 1774 28.7 31.6 25.2 0.0
## 1775 28.4 31.0 25.1 0.0
## 1776 28.4 32.0 25.0 0.1
## 1777 27.6 30.6 25.6 0.0
## 1778 27.1 30.7 24.9 7.0
## 1779 28.0 30.8 24.2 14.0
## 1780 28.0 30.9 24.8 0.0
## 1781 28.0 31.0 24.8 7.0
## 1782 27.5 31.9 24.0 103.0
## 1783 28.7 32.0 25.4 0.0
## 1784 27.8 31.9 23.8 16.2
## 1785 27.9 31.4 25.0 37.4
## 1786 28.7 31.6 25.9 0.0
## 1787 28.9 32.2 25.7 0.0
## 1788 28.7 31.3 25.4 0.0
## 1789 28.2 31.3 26.0 0.1
## 1790 28.1 30.4 23.9 2.1
## 1791 27.9 31.2 23.9 5.0
## 1792 28.0 31.9 24.1 0.0
## 1793 28.1 30.4 24.1 0.0
## 1794 27.0 29.3 24.1 4.0
## 1795 27.0 30.3 23.5 1.0
## 1796 27.7 30.8 23.4 21.0
## 1797 27.8 30.7 23.2 2.0
## 1798 27.8 31.6 23.3 10.0
## 1799 28.5 31.3 26.1 0.0
## 1800 28.2 30.3 25.2 3.0
## 1801 28.2 31.2 25.8 0.0
## 1802 28.0 31.0 23.0 63.0
## 1803 27.7 30.4 23.8 38.5
## 1804 28.3 32.7 23.9 6.0
## 1805 28.8 31.9 25.7 0.0
## 1806 28.9 32.1 25.6 1.0
## 1807 28.6 32.6 25.8 14.0
## 1808 28.5 31.9 25.5 0.0
## 1809 28.0 31.3 25.5 0.0
## 1810 28.3 31.7 24.4 0.0
## 1811 28.1 31.1 24.4 0.0
## 1812 27.8 30.4 24.0 0.0
## 1813 27.2 30.0 23.3 0.0
## 1814 26.8 29.8 23.7 0.0
## 1815 27.8 30.8 26.3 0.0
## 1816 28.0 31.0 26.3 0.0
## 1817 28.3 30.7 24.0 0.0
## 1818 27.8 31.6 25.4 0.0
## 1819 28.2 32.2 27.0 0.0
## 1820 28.2 31.2 25.4 0.3
## 1821 27.8 31.2 25.9 0.7
## 1822 28.1 30.5 25.0 0.0
## 1823 28.0 30.3 24.9 0.0
## 1824 27.6 29.8 24.8 0.0
## 1825 27.5 30.8 23.8 0.0
## 1826 28.2 30.8 25.5 0.0
## 1827 28.1 30.8 23.5 4.0
## 1828 27.9 30.5 25.2 0.0
## 1829 27.0 30.8 22.6 0.0
## 1830 27.2 30.3 24.4 0.0
## 1831 27.3 31.0 24.9 0.0
## 1832 27.8 30.4 26.0 0.0
## 1833 28.2 31.0 26.5 0.0
## 1834 28.2 30.9 27.1 0.0
## 1835 27.7 29.8 25.1 1.0
## 1836 27.6 31.2 25.0 0.0
## 1837 28.0 30.8 25.1 0.0
## 1838 27.9 32.4 25.2 1.5
## 1839 27.2 29.8 25.3 2.0
## 1840 27.6 30.6 24.3 63.0
## 1841 28.0 30.8 25.9 0.0
## 1842 28.0 31.2 25.2 0.0
## 1843 27.8 31.1 24.5 0.0
## 1844 28.0 31.5 26.4 0.0
## 1845 28.3 30.6 25.7 0.0
## 1846 28.0 30.7 26.0 0.0
## 1847 28.2 30.4 26.8 0.0
## 1848 27.4 29.5 24.8 0.0
## 1849 27.2 30.4 25.1 0.0
## 1850 27.5 30.0 25.4 0.0
## 1851 27.7 30.0 25.7 0.0
## 1852 27.5 30.1 25.0 0.0
## 1853 27.3 30.2 24.6 0.0
## 1854 26.8 28.9 24.4 0.0
## 1855 27.0 29.5 23.7 0.0
## 1856 27.7 30.1 23.7 0.0
## 1857 27.7 30.2 25.3 0.2
## 1858 27.8 29.8 25.6 0.0
## 1859 27.6 30.6 23.5 1.0
## 1860 26.9 29.9 22.8 33.0
## 1861 27.7 30.6 24.7 0.0
## 1862 28.1 30.0 23.8 1.0
## 1863 27.4 29.4 24.8 0.0
## 1864 27.5 30.6 25.2 0.0
## 1865 27.5 29.8 24.7 10.0
## 1866 27.6 29.9 24.9 0.0
## 1867 27.4 29.3 25.0 0.0
## 1868 27.1 29.6 24.6 7.2
## 1869 27.7 31.0 25.9 5.0
## 1870 27.4 31.4 24.4 0.0
## 1871 27.8 30.6 25.0 0.0
## 1872 27.7 29.9 24.8 0.0
## 1873 27.5 30.3 24.4 1.1
## 1874 27.2 30.2 23.9 0.0
## 1875 26.8 29.6 23.9 0.0
## 1876 27.2 29.4 23.3 9.1
## 1877 26.0 28.9 21.7 174.0
## 1878 26.1 30.3 22.9 0.3
## 1879 26.0 28.9 23.8 0.2
## 1880 26.6 29.8 23.8 6.8
## 1881 27.5 30.6 24.8 0.0
## 1882 27.9 30.3 24.6 0.0
## 1883 28.3 31.6 25.6 0.0
## 1884 28.0 30.8 24.3 0.0
## 1885 26.1 29.8 23.1 0.0
## 1886 26.4 30.4 23.9 0.0
## 1887 28.3 30.3 26.3 0.0
## 1888 28.3 30.7 25.6 0.0
## 1889 27.6 30.3 24.1 0.0
## 1890 27.4 30.2 24.6 0.0
## 1891 28.0 30.0 25.0 6.5
## 1892 28.0 30.6 24.4 7.0
## 1893 27.9 31.0 24.4 6.3
## 1894 28.2 30.7 25.6 0.0
## 1895 28.3 30.7 25.7 0.0
## 1896 28.2 31.1 24.5 3.0
## 1897 27.6 30.3 23.6 11.6
## 1898 27.6 30.3 25.0 29.0
## 1899 27.3 30.6 24.3 0.4
## 1900 27.2 30.5 24.6 0.0
## 1901 27.6 30.5 25.2 2.3
## 1902 26.2 29.8 24.0 6.2
## 1903 26.7 29.8 22.8 113.0
## 1904 26.7 29.6 24.7 1.2
## 1905 26.9 30.6 24.8 53.0
## 1906 27.6 30.4 24.7 54.0
## 1907 25.6 28.0 23.8 134.0
## 1908 26.6 28.6 24.8 0.7
## 1909 27.9 30.7 24.2 2.8
## 1910 26.8 30.3 24.4 0.0
## 1911 26.3 28.0 24.4 16.3
## 1912 27.2 30.0 25.0 6.0
## 1913 27.5 30.4 25.3 0.0
## 1914 28.0 30.0 25.2 0.0
## 1915 27.0 30.0 25.1 0.0
## 1916 26.8 29.4 23.6 71.2
## 1917 27.1 30.9 23.0 122.0
## 1918 26.2 29.0 23.8 1.4
## 1919 26.7 30.1 24.1 50.2
## 1920 26.5 29.8 23.5 0.0
## 1921 27.4 30.9 24.0 23.3
## 1922 27.7 32.4 24.4 12.2
## 1923 27.3 31.9 24.5 0.0
## 1924 27.9 30.4 24.0 56.0
## 1925 28.5 31.4 26.3 16.0
## 1926 28.1 31.4 24.7 0.0
## 1927 26.4 30.7 23.8 1.7
## 1928 27.9 31.0 24.3 21.4
## 1929 28.7 31.0 25.7 0.8
## 1930 29.6 32.1 26.9 3.4
## 1931 29.2 33.0 25.8 0.0
## 1932 28.9 31.3 26.6 0.0
## 1933 28.5 31.0 26.2 0.5
## 1934 28.1 32.1 26.3 2.1
## 1935 28.9 32.1 26.5 0.0
## 1936 28.6 31.8 25.2 0.0
## 1937 29.8 32.5 26.6 1.0
## 1938 29.1 32.4 25.6 0.3
## 1939 28.5 31.1 25.9 0.0
## 1940 28.2 31.4 25.4 0.0
## 1941 28.4 31.9 25.1 0.0
## 1942 29.1 32.5 26.4 1.5
## 1943 29.2 31.8 25.1 4.0
## 1944 28.3 31.6 25.1 0.0
## 1945 28.7 31.6 26.0 0.0
## 1946 29.4 32.3 25.6 0.0
## 1947 29.4 32.3 25.7 0.0
## 1948 28.0 32.1 23.5 0.2
## 1949 26.2 32.2 22.7 23.2
## 1950 28.1 32.1 25.4 0.0
## 1951 28.3 31.2 25.1 0.3
## 1952 27.2 31.1 24.6 0.4
## 1953 27.2 31.2 24.8 1.4
## 1954 27.9 31.6 26.1 0.0
## 1955 27.9 30.7 25.1 9.0
## 1956 27.2 30.5 24.8 40.0
## 1957 27.0 30.1 24.9 3.0
## 1958 28.3 32.6 25.3 6.5
## 1959 28.0 31.9 25.1 0.0
## 1960 27.3 31.9 25.3 6.0
## 1961 29.1 32.7 25.4 0.0
## 1962 29.2 32.4 26.0 0.0
## 1963 29.0 33.4 25.3 0.0
## 1964 29.1 32.1 26.0 0.0
## 1965 28.7 32.0 25.4 0.0
## 1966 26.2 31.5 24.7 19.2
## 1967 27.2 32.6 24.5 19.0
## 1968 27.4 32.0 24.6 4.7
## 1969 27.0 31.3 25.4 4.4
## 1970 27.9 31.2 25.0 8.0
## 1971 27.8 32.1 24.7 0.0
## 1972 28.0 32.0 24.3 5.0
## 1973 27.9 31.1 24.4 0.0
## 1974 27.5 31.1 24.7 3.0
## 1975 26.9 30.9 24.7 12.3
## 1976 27.4 31.6 24.4 14.0
## 1977 26.9 30.4 24.3 7.4
## 1978 26.5 29.7 23.6 6.0
## 1979 25.8 30.3 24.4 32.2
## 1980 27.0 30.2 23.1 26.2
## 1981 27.0 32.2 23.9 4.0
## 1982 27.0 29.9 23.9 6.0
## 1983 26.1 31.5 24.4 5.9
## 1984 27.7 31.3 24.8 23.0
## 1985 27.6 31.3 25.3 15.0
## 1986 27.2 31.1 23.8 53.0
## 1987 26.0 32.9 22.7 10.1
## 1988 28.2 31.6 25.2 0.0
## 1989 28.4 31.6 26.2 0.0
## 1990 29.1 33.6 23.9 0.0
## 1991 28.2 32.4 24.1 0.0
## 1992 28.1 33.1 22.6 5.0
## 1993 27.9 32.0 24.6 2.0
## 1994 27.5 30.1 24.1 0.0
## 1995 27.2 30.8 23.5 0.0
## 1996 26.4 32.3 23.5 13.0
## 1997 27.6 32.0 24.0 8.0
## 1998 27.0 30.6 24.1 4.0
## 1999 27.7 29.6 25.0 0.1
## 2000 26.8 32.7 23.7 28.0
## 2001 28.2 33.0 23.2 0.0
## 2002 27.5 33.3 23.0 32.0
## 2003 29.0 32.7 26.0 0.0
## 2004 28.2 31.2 24.1 0.0
## 2005 28.8 34.5 24.1 2.0
## 2006 28.9 33.3 25.7 2.0
## 2007 28.6 31.7 25.6 12.0
## 2008 29.0 32.3 24.5 0.0
## 2009 28.5 31.6 24.8 0.0
## 2010 28.6 33.3 24.6 0.0
## 2011 28.0 32.3 25.4 0.0
## 2012 28.2 33.4 25.0 0.0
## 2013 28.6 31.8 25.1 0.0
## 2014 28.5 31.4 25.3 0.0
## 2015 28.3 32.8 25.2 0.0
## 2016 28.8 31.8 25.3 0.0
## 2017 28.7 32.4 24.5 0.0
## 2018 28.5 33.8 24.6 0.0
## 2019 28.7 33.3 25.0 0.0
## 2020 28.5 33.3 24.3 0.0
## 2021 28.8 33.0 25.1 0.0
## 2022 28.2 32.7 24.7 0.0
## 2023 28.0 33.7 23.4 0.0
## 2024 28.1 32.8 24.3 0.0
## 2025 28.6 32.5 24.7 0.0
## 2026 28.5 32.8 24.9 0.0
## 2027 28.4 33.4 24.9 0.0
## 2028 28.3 32.9 25.1 0.0
## 2029 28.5 32.2 25.3 0.0
## 2030 27.3 32.2 24.6 3.0
## 2031 26.9 30.7 25.1 8.9
## 2032 26.8 31.4 25.1 4.0
## 2033 27.9 31.0 25.3 1.0
## 2034 26.7 29.3 23.6 0.0
## 2035 26.9 30.9 23.3 41.0
## 2036 27.3 31.2 24.5 8.5
## 2037 27.3 31.1 24.5 8.0
## 2038 27.9 31.4 25.2 1.0
## 2039 26.7 32.1 23.2 14.0
## 2040 28.1 31.8 24.3 0.0
## 2041 27.5 31.9 24.0 0.0
## 2042 26.5 31.0 22.3 8.5
## 2043 26.5 30.2 22.3 19.0
## 2044 27.1 29.9 25.1 0.0
## 2045 26.5 32.0 23.3 43.0
## 2046 28.3 32.3 25.7 4.0
## 2047 27.7 30.9 23.6 0.2
## 2048 26.1 29.0 23.7 14.0
## 2049 26.3 32.4 23.9 9.2
## 2050 28.1 31.6 24.0 0.0
## 2051 27.4 31.7 22.8 37.2
## 2052 28.4 32.3 25.3 0.0
## 2053 27.6 31.2 24.2 0.0
## 2054 26.3 31.2 23.2 16.0
## 2055 26.5 31.3 24.0 54.4
## 2056 26.6 29.6 23.8 0.0
## 2057 26.2 28.7 23.7 8.0
## 2058 26.5 32.2 24.3 12.0
## 2059 28.1 31.9 25.8 0.2
## 2060 28.5 31.7 24.4 0.0
## 2061 26.6 32.0 24.2 44.0
## 2062 28.1 31.2 24.4 0.0
## 2063 28.1 32.6 24.7 26.0
## 2064 28.8 32.1 25.1 0.0
## 2065 28.7 32.9 24.8 0.0
## 2066 28.4 31.7 24.9 0.6
## 2067 27.3 31.9 23.4 55.0
## 2068 27.0 30.9 22.9 4.0
## 2069 26.5 29.9 22.7 13.0
## 2070 29.0 32.6 25.8 0.0
## 2071 29.3 33.6 25.5 0.0
## 2072 29.0 33.4 24.0 0.0
## 2073 28.1 31.5 24.9 0.0
## 2074 27.4 29.8 23.7 0.0
## 2075 27.2 31.4 23.4 65.0
## 2076 27.7 32.0 24.4 1.1
## 2077 28.5 32.3 24.3 0.0
## 2078 28.4 31.8 25.8 0.0
## 2079 28.2 31.4 23.8 4.0
## 2080 26.5 31.0 23.6 6.0
## 2081 27.5 31.8 24.6 0.1
## 2082 26.4 31.5 24.0 2.0
## 2083 26.2 30.4 23.8 4.0
## 2084 26.4 30.9 24.6 30.0
## 2085 26.1 32.0 23.2 46.0
## 2086 27.6 31.6 24.7 3.3
## 2087 28.4 32.3 24.4 9.0
## 2088 28.5 33.9 23.0 133.0
## 2089 27.7 32.9 25.1 0.3
## 2090 27.9 31.5 25.9 3.0
## 2091 28.4 32.4 25.6 3.0
## 2092 28.1 30.9 25.1 0.0
## 2093 27.9 32.1 25.0 14.0
## 2094 28.1 31.9 24.7 48.0
## 2095 28.1 31.9 25.2 0.0
## 2096 27.6 31.5 23.9 52.0
## 2097 27.9 31.9 24.3 1.8
## 2098 28.0 31.3 24.3 3.0
## 2099 28.1 31.1 25.5 6.4
## 2100 27.5 31.0 24.0 0.0
## 2101 26.5 32.4 23.8 9.0
## 2102 28.1 31.8 24.2 5.3
## 2103 26.6 32.2 23.7 28.0
## 2104 26.9 31.8 23.3 5.2
## 2105 27.2 31.7 23.4 0.0
## 2106 26.6 32.0 23.6 17.0
## 2107 27.6 30.6 24.9 0.0
## 2108 28.0 32.2 24.6 0.0
## 2109 28.0 30.9 24.8 1.6
## 2110 27.8 31.5 25.2 0.5
## 2111 27.1 32.0 24.9 12.0
## 2112 26.7 32.0 22.9 15.0
## 2113 27.6 30.2 23.0 16.0
## 2114 26.9 31.4 24.1 11.0
## 2115 28.5 32.5 25.2 0.0
## 2116 28.2 32.0 25.2 0.5
## 2117 28.3 32.5 25.3 1.0
## 2118 28.8 31.6 24.6 1.0
## 2119 27.4 31.1 25.1 7.0
## 2120 27.8 31.9 25.1 1.8
## 2121 27.7 32.3 25.0 3.0
## 2122 27.9 31.5 25.1 0.8
## 2123 27.5 30.5 24.9 1.0
## 2124 27.4 31.6 24.7 4.5
## 2125 27.7 31.7 23.6 16.0
## 2126 28.2 32.0 25.1 2.0
## 2127 26.9 31.4 24.1 21.8
## 2128 27.9 31.3 24.8 0.4
## 2129 26.9 30.1 24.9 0.0
## 2130 27.1 31.9 25.4 5.0
## 2131 28.7 31.7 24.8 4.0
## 2132 28.8 31.9 25.9 0.0
## 2133 29.0 32.2 26.0 0.0
## 2134 28.5 31.1 24.0 0.0
## 2135 28.7 32.6 25.0 10.0
## 2136 26.7 30.6 24.3 6.8
## 2137 27.6 32.8 24.4 7.4
## 2138 28.6 31.8 25.2 0.0
## 2139 28.4 31.7 25.4 0.0
## 2140 28.5 31.7 24.8 0.0
## 2141 27.9 30.6 25.4 0.0
## 2142 26.9 29.4 23.8 0.0
## 2143 27.0 30.1 23.6 81.0
## 2144 27.3 29.4 23.6 13.0
## 2145 28.6 32.0 26.4 5.0
## 2146 28.5 31.8 25.3 0.0
## 2147 28.3 31.5 24.9 0.0
## 2148 28.3 30.4 24.4 0.0
## 2149 26.2 29.4 23.3 24.3
## 2150 26.6 31.1 23.9 20.0
## 2151 27.1 29.5 25.4 1.5
## 2152 26.3 29.0 22.9 10.0
## 2153 27.9 32.0 25.0 7.0
## 2154 28.1 31.3 24.3 0.0
## 2155 25.9 29.2 24.3 5.0
## 2156 27.2 31.0 24.9 26.0
## 2157 28.0 31.0 25.1 0.3
## 2158 28.8 32.8 25.9 6.0
## 2159 29.4 33.1 25.9 0.0
## 2160 29.1 31.8 25.2 0.0
## 2161 28.8 32.0 26.2 3.0
## 2162 29.4 32.6 26.2 0.0
## 2163 29.5 32.2 27.2 0.0
## 2164 28.9 31.8 25.8 0.0
## 2165 28.5 31.1 25.8 0.0
## 2166 29.3 32.5 26.9 0.0
## 2167 29.1 32.5 25.9 0.0
## 2168 29.3 32.4 25.6 0.0
## 2169 29.1 32.2 26.0 0.0
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## 3609 29.6 33.8 26.7 0.0
## 3610 29.5 33.3 25.7 0.0
## 3611 28.6 32.8 25.1 0.0
## 3612 28.8 31.6 24.9 0.0
## 3613 28.6 31.3 25.1 0.0
## 3614 28.7 31.9 25.5 0.0
## 3615 29.2 32.6 25.8 0.0
## 3616 28.4 32.7 24.4 0.0
## 3617 29.1 31.7 24.2 0.0
## 3618 28.6 31.3 24.9 0.0
## 3619 28.7 30.8 25.2 0.0
## 3620 28.8 33.0 25.2 0.0
## 3621 29.1 32.7 25.2 0.0
## 3622 28.7 32.8 25.3 0.0
## 3623 29.2 31.9 25.9 0.0
## 3624 29.0 32.7 26.0 0.0
## 3625 28.6 32.7 26.1 0.0
## 3626 29.6 32.6 26.8 0.0
## 3627 29.3 32.6 26.4 0.0
## 3628 29.0 32.3 26.1 0.0
## 3629 28.6 31.3 24.7 0.0
## 3630 28.8 31.8 25.1 0.0
## 3631 29.1 32.4 26.3 0.0
## 3632 29.1 32.4 25.8 0.0
## 3633 28.7 31.8 25.3 0.0
## 3634 28.6 31.4 25.4 0.0
## 3635 28.5 32.5 25.1 0.0
## 3636 29.0 31.6 24.8 0.0
## 3637 28.3 31.6 24.9 0.0
## 3638 27.8 31.1 23.8 0.0
## 3639 27.7 31.0 23.8 0.0
## 3640 27.9 30.3 25.4 0.0
## 3641 26.8 29.4 24.3 0.0
## 3642 27.7 30.4 25.7 0.0
## 3643 28.1 30.8 25.4 0.0
## 3644 27.8 30.8 24.9 0.0
## 3645 27.8 31.2 25.6 0.0
## 3646 27.5 30.7 23.3 2.6
## 3647 28.1 31.2 23.2 14.4
## 3648 27.8 30.4 25.0 0.0
## 3649 27.9 29.4 25.3 0.0
## 3650 27.8 31.1 25.7 0.0
## 3651 28.3 30.2 24.7 0.0
## 3652 28.4 30.9 24.7 0.0
## 3653 28.5 30.5 25.3 0.0
## 3654 27.3 30.0 24.7 0.0
## 3655 26.6 28.4 23.3 35.3
## 3656 26.4 29.6 25.6 39.0
## 3657 27.6 30.9 25.4 6.1
## 3658 27.7 30.8 25.3 1.0
## 3659 27.9 30.7 25.3 0.0
## 3660 27.7 30.3 24.7 0.0
## 3661 27.3 30.1 24.8 11.0
## 3662 27.9 30.9 25.2 2.8
## 3663 27.1 30.2 24.3 3.0
## 3664 25.7 30.6 23.8 3.7
## 3665 27.1 29.8 24.7 0.0
## 3666 26.5 28.9 23.2 1.2
## 3667 27.1 31.1 24.0 40.0
## 3668 27.4 29.8 24.7 0.0
## 3669 27.4 28.8 24.8 0.0
## 3670 27.3 31.2 24.7 19.0
## 3671 27.5 30.3 24.8 0.0
## 3672 28.1 30.8 24.9 0.0
## 3673 27.9 30.2 24.9 0.0
## 3674 26.5 29.9 23.9 0.3
## 3675 25.7 28.2 24.4 6.5
## 3676 26.4 29.3 24.3 12.0
## 3677 27.4 31.2 23.7 6.0
## 3678 27.9 31.9 24.3 17.0
## 3679 27.9 31.7 24.5 0.0
## 3680 28.5 31.1 25.8 0.1
## 3681 28.6 30.4 25.5 0.2
## 3682 28.2 30.8 22.1 14.9
## 3683 27.7 31.1 24.7 20.0
## 3684 28.4 31.4 25.5 0.0Eksplorasi
Plot missing value
## Warning: package 'mice' was built under R version 4.3.3##
## Attaching package: 'mice'## The following object is masked from 'package:stats':
##
## filter## The following objects are masked from 'package:base':
##
## cbind, rbind
## TemperatureCMax TemperatureCAvg TemperatureCMin Precmm
## 3277 1 1 1 1 0
## 396 1 1 1 0 1
## 3 1 0 0 1 2
## 1 1 0 0 0 3
## 6 0 0 0 1 3
## 1 0 0 0 0 4
## 7 11 11 398 427Eksplorasi deskriptif
## TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## Min. :24.30 Min. :27.10 Min. :21.60 Min. : 0.00
## 1st Qu.:27.20 1st Qu.:30.70 1st Qu.:24.10 1st Qu.: 0.00
## Median :27.90 Median :31.40 Median :24.80 Median : 1.10
## Mean :27.83 Mean :31.45 Mean :24.79 Mean : 10.93
## 3rd Qu.:28.50 3rd Qu.:32.20 3rd Qu.:25.40 3rd Qu.: 12.00
## Max. :30.40 Max. :35.60 Max. :27.70 Max. :608.20
## NA's :11 NA's :7 NA's :11 NA's :398Fungsi akurasi dan evaluasi
# Mask untuk nilai hilang di data asli
missing_maskk <- is.na(bpph)
# Hitung MAE, MSE, atau RMSE hanya untuk nilai yang diimputasi
mae_imputation <- function(true_values, imputed_values, missing_mask) {
return(mean(abs(true_values[missing_mask] - imputed_values[missing_mask]), na.rm = TRUE))
}
mse_imputation <- function(true_values, imputed_values, missing_mask) {
return(mean((true_values[missing_mask] - imputed_values[missing_mask])^2, na.rm = TRUE))
}
rmse_imputation <- function(true_values, imputed_values, missing_mask) {
return(sqrt(mean((true_values[missing_mask] - imputed_values[missing_mask])^2, na.rm = TRUE)))
}
mape_imputation <- function(y_true, y_pred, missing_mask) {
y_true_masked <- y_true[missing_mask]
y_pred_masked <- y_pred[missing_mask]
return(mean(abs((y_true_masked - y_pred_masked) / y_true_masked)) * 100)
}IMPUTATION
Metode Mean
imputation_mode_mean <- function(df){
# browser()
Mode <- function(x) {
ux <- unique(na.omit(x))
ux[which.max(tabulate(match(x, ux)))]
}
for (i in 1L:length(df)){
if (sum(is.na(df[,i])) > 0){
if (mode(df[,i]) == 'character' | is.factor(df[,i])){
to_imp <- Mode(df[,i])
df[,i][is.na(df[,i])] <- to_imp
}
else{
to_imp <- mean(df[,i], na.rm = TRUE)
df[,i][is.na(df[,i])] <- to_imp
}
}
}
return(df)
}## TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## 1 28.00000 30.30000 25.10000 0.000
## 2 28.00000 31.20000 24.70000 0.600
## 3 27.10000 30.40000 24.80000 0.300
## 4 26.10000 29.00000 24.10000 1.000
## 5 26.80000 30.00000 24.70000 111.300
## 6 26.90000 28.40000 24.20000 1.900
## 7 26.50000 28.00000 24.60000 29.000
## 8 26.80000 30.80000 24.70000 9.000
## 9 26.10000 29.80000 24.00000 10.928
## 10 25.90000 28.40000 24.90000 10.000
## 11 27.40000 29.70000 25.60000 13.600
## 12 27.70000 29.40000 24.10000 44.000
## 13 26.20000 29.20000 24.20000 44.000
## 14 27.30000 30.20000 24.70000 6.000
## 15 28.20000 30.20000 25.00000 0.300
## 16 26.50000 30.20000 24.00000 12.000
## 17 26.70000 29.20000 24.40000 100.000
## 18 27.60000 30.00000 25.40000 65.000
## 19 27.70000 29.70000 25.00000 10.928
## 20 27.90000 30.30000 24.90000 7.200
## 21 28.30000 31.30000 25.60000 0.000
## 22 27.70000 30.90000 23.30000 19.000
## 23 25.80000 30.40000 23.50000 106.500
## 24 26.30000 30.00000 23.40000 20.000
## 25 26.80000 28.50000 24.20000 54.200
## 26 27.50000 30.60000 24.40000 3.900
## 27 28.10000 30.40000 23.70000 73.000
## 28 27.70000 29.60000 25.00000 75.100
## 29 27.30000 28.90000 25.10000 9.300
## 30 28.40000 30.80000 26.50000 20.000
## 31 28.90000 31.40000 25.70000 10.928
## 32 28.40000 31.50000 25.40000 8.000
## 33 29.30000 31.50000 27.10000 0.000
## 34 29.20000 31.70000 26.70000 0.000
## 35 28.80000 31.00000 25.60000 10.928
## 36 28.90000 31.80000 26.10000 0.000
## 37 28.50000 30.40000 24.70000 0.000
## 38 27.80000 31.10000 24.90000 81.200
## 39 28.70000 31.30000 26.70000 0.000
## 40 27.70000 31.20000 25.00000 0.000
## 41 27.90000 30.60000 25.60000 26.800
## 42 28.30000 31.20000 26.20000 16.000
## 43 28.40000 30.50000 26.40000 0.000
## 44 26.80000 30.60000 24.30000 0.000
## 45 28.60000 30.30000 25.80000 0.800
## 46 28.10000 30.40000 24.70000 0.000
## 47 28.30000 31.00000 24.70000 30.000
## 48 28.40000 30.90000 24.80000 0.000
## 49 26.80000 30.40000 24.80000 82.000
## 50 27.50000 29.80000 25.80000 10.928
## 51 27.90000 30.80000 25.90000 10.928
## 52 28.40000 30.70000 24.70000 0.000
## 53 26.30000 30.20000 22.90000 0.300
## 54 27.10000 29.20000 23.20000 47.000
## 55 25.60000 29.10000 23.70000 10.000
## 56 27.30000 30.90000 23.90000 37.000
## 57 27.80000 31.70000 23.90000 35.000
## 58 28.40000 31.70000 25.40000 0.000
## 59 26.70000 31.00000 24.30000 2.200
## 60 25.90000 27.90000 24.30000 19.700
## 61 27.00000 30.10000 25.20000 9.200
## 62 27.70000 30.10000 25.60000 0.800
## 63 27.30000 30.00000 24.10000 9.400
## 64 27.20000 31.10000 24.10000 34.000
## 65 28.80000 31.80000 26.30000 4.000
## 66 29.10000 31.60000 25.50000 0.000
## 67 28.20000 30.80000 25.00000 0.000
## 68 26.30000 29.70000 24.70000 0.000
## 69 26.40000 30.10000 24.40000 20.600
## 70 27.10000 30.60000 23.80000 36.200
## 71 28.40000 31.20000 25.70000 10.928
## 72 28.80000 31.20000 25.40000 0.300
## 73 26.90000 31.10000 24.90000 4.000
## 74 27.10000 31.30000 24.60000 12.000
## 75 27.40000 31.80000 24.70000 35.000
## 76 28.30000 31.10000 24.50000 0.000
## 77 28.10000 30.70000 24.50000 8.000
## 78 27.20000 29.60000 25.00000 13.100
## 79 26.60000 29.10000 25.00000 10.928
## 80 27.80000 31.70000 24.70000 31.000
## 81 27.80000 32.20000 25.20000 2.000
## 82 27.00000 32.20000 25.40000 1.400
## 83 28.40000 31.70000 24.50000 10.000
## 84 28.00000 31.60000 26.10000 0.000
## 85 27.40000 31.30000 24.70000 34.000
## 86 27.70000 30.40000 24.80000 0.100
## 87 27.60000 31.70000 25.30000 10.600
## 88 27.70000 30.40000 24.10000 5.200
## 89 27.80000 31.40000 24.20000 68.800
## 90 27.60000 31.10000 24.90000 1.000
## 91 27.30000 32.90000 25.20000 58.200
## 92 29.20000 32.90000 25.60000 3.000
## 93 29.00000 31.70000 26.40000 0.000
## 94 28.20000 33.00000 25.30000 16.000
## 95 28.80000 32.10000 26.70000 0.000
## 96 27.40000 31.00000 24.20000 4.000
## 97 26.50000 29.90000 24.40000 47.500
## 98 28.60000 31.90000 26.10000 50.000
## 99 29.50000 32.10000 25.00000 10.928
## 100 28.50000 31.70000 26.20000 0.000
## 101 28.60000 31.50000 25.80000 11.000
## 102 29.00000 32.30000 25.40000 37.000
## 103 28.30000 31.00000 24.10000 40.000
## 104 28.30000 32.80000 25.10000 20.000
## 105 28.40000 32.80000 24.80000 74.000
## 106 28.70000 30.60000 25.20000 0.000
## 107 28.30000 32.60000 25.20000 2.800
## 108 30.10000 32.10000 27.20000 0.000
## 109 29.50000 32.30000 26.30000 0.000
## 110 29.40000 32.30000 26.30000 13.000
## 111 28.10000 32.10000 24.70000 0.000
## 112 27.70000 32.30000 25.10000 22.000
## 113 29.00000 32.10000 25.80000 8.100
## 114 28.60000 32.00000 25.80000 0.000
## 115 28.00000 32.10000 26.30000 10.928
## 116 29.80000 33.00000 26.70000 0.000
## 117 29.50000 31.90000 24.80000 0.000
## 118 27.70000 30.60000 24.90000 5.500
## 119 28.80000 32.30000 24.90000 21.500
## 120 27.00000 31.60000 24.80000 0.100
## 121 27.60000 31.90000 25.00000 19.000
## 122 29.70000 33.30000 26.00000 11.100
## 123 29.20000 32.60000 26.70000 10.928
## 124 28.00000 31.60000 25.00000 0.500
## 125 28.70000 32.70000 25.70000 25.000
## 126 28.70000 32.30000 25.70000 21.000
## 127 29.10000 33.60000 26.20000 0.600
## 128 29.30000 32.50000 25.80000 0.000
## 129 27.70000 31.80000 25.30000 5.000
## 130 27.60000 33.20000 25.50000 14.000
## 131 29.30000 33.40000 26.30000 0.300
## 132 29.40000 33.80000 26.30000 10.928
## 133 29.40000 32.70000 26.40000 0.800
## 134 29.80000 33.60000 26.30000 0.000
## 135 29.00000 32.90000 26.50000 10.928
## 136 29.80000 33.00000 26.20000 10.928
## 137 29.50000 32.80000 25.10000 0.000
## 138 29.40000 32.20000 26.50000 0.000
## 139 29.40000 32.60000 26.40000 0.000
## 140 29.60000 32.80000 26.30000 0.000
## 141 29.40000 32.60000 26.10000 10.928
## 142 29.60000 33.20000 25.00000 0.000
## 143 29.00000 33.00000 26.30000 0.000
## 144 29.40000 34.50000 25.10000 2.000
## 145 27.70000 34.50000 24.90000 12.000
## 146 29.70000 34.80000 26.40000 0.000
## 147 29.80000 35.20000 26.60000 0.000
## 148 30.10000 34.40000 25.60000 0.000
## 149 29.90000 34.80000 25.50000 0.000
## 150 29.50000 34.00000 25.50000 0.000
## 151 29.00000 33.00000 25.10000 0.000
## 152 28.20000 32.00000 25.00000 10.928
## 153 27.40000 31.10000 25.80000 5.000
## 154 28.70000 32.10000 24.80000 4.000
## 155 27.50000 30.70000 24.40000 0.000
## 156 26.10000 28.60000 24.30000 103.300
## 157 27.70000 32.40000 24.90000 39.000
## 158 28.90000 32.40000 24.90000 12.000
## 159 29.30000 33.90000 26.00000 0.000
## 160 29.50000 33.40000 25.20000 0.000
## 161 28.90000 33.20000 25.00000 0.000
## 162 27.60000 31.30000 24.30000 10.928
## 163 27.40000 31.40000 24.70000 3.300
## 164 28.10000 32.00000 24.70000 0.000
## 165 28.60000 31.80000 23.70000 10.928
## 166 28.20000 33.50000 23.20000 35.500
## 167 28.70000 32.10000 25.00000 0.000
## 168 28.40000 32.60000 25.00000 10.928
## 169 28.80000 33.90000 25.00000 0.000
## 170 29.30000 33.90000 25.60000 0.000
## 171 28.80000 32.30000 24.50000 0.000
## 172 27.70000 33.10000 23.80000 34.800
## 173 28.90000 32.20000 24.50000 10.928
## 174 27.00000 32.60000 24.50000 10.928
## 175 25.90000 32.60000 24.90000 4.000
## 176 28.50000 33.20000 25.00000 24.000
## 177 28.40000 32.60000 25.10000 10.928
## 178 28.50000 32.90000 24.80000 22.900
## 179 28.60000 32.70000 25.80000 0.000
## 180 27.80000 32.70000 26.00000 11.700
## 181 28.40000 32.40000 26.00000 6.100
## 182 28.70000 33.20000 26.00000 0.100
## 183 29.00000 32.70000 25.80000 0.000
## 184 30.10000 34.50000 25.70000 0.000
## 185 29.70000 34.20000 25.90000 0.000
## 186 29.00000 32.70000 24.80000 0.000
## 187 27.20000 31.30000 24.50000 0.600
## 188 27.40000 35.60000 24.40000 21.500
## 189 29.40000 34.10000 24.80000 11.000
## 190 29.60000 33.30000 26.20000 0.000
## 191 29.40000 35.40000 26.20000 0.000
## 192 30.00000 34.60000 26.30000 0.000
## 193 29.50000 33.70000 25.70000 0.000
## 194 29.30000 33.30000 25.60000 0.000
## 195 29.30000 34.00000 25.40000 0.000
## 196 29.10000 34.70000 25.40000 0.000
## 197 29.20000 34.70000 24.80000 0.000
## 198 28.80000 34.00000 25.60000 0.000
## 199 28.70000 33.00000 25.10000 10.928
## 200 28.60000 32.80000 25.10000 0.000
## 201 27.90000 32.60000 24.70000 0.000
## 202 27.40000 32.00000 24.90000 10.000
## 203 27.40000 31.60000 24.90000 6.000
## 204 26.80000 31.40000 24.90000 15.000
## 205 28.70000 33.10000 26.00000 11.500
## 206 28.30000 32.20000 24.50000 10.928
## 207 27.70000 32.70000 23.30000 122.000
## 208 29.10000 32.80000 24.70000 0.000
## 209 28.10000 32.10000 24.00000 71.000
## 210 27.30000 32.20000 25.00000 20.500
## 211 27.20000 32.20000 24.60000 18.000
## 212 28.80000 32.10000 24.10000 10.928
## 213 26.30000 31.70000 24.10000 9.000
## 214 29.10000 32.50000 25.00000 0.000
## 215 28.70000 32.20000 25.40000 0.000
## 216 28.80000 33.40000 25.00000 0.000
## 217 28.80000 33.00000 24.70000 0.000
## 218 29.10000 33.90000 25.40000 0.000
## 219 28.10000 33.50000 25.40000 1.800
## 220 27.90000 31.40000 24.70000 0.000
## 221 26.60000 31.20000 23.70000 3.100
## 222 27.80000 33.80000 23.60000 10.000
## 223 27.60000 31.80000 24.00000 4.000
## 224 27.20000 31.60000 23.90000 6.000
## 225 27.70000 31.10000 24.40000 12.000
## 226 28.40000 33.50000 24.30000 66.000
## 227 29.10000 33.00000 25.60000 0.000
## 228 28.10000 32.90000 23.30000 0.000
## 229 27.60000 31.60000 24.10000 3.900
## 230 27.20000 31.80000 24.50000 25.000
## 231 27.10000 31.30000 25.00000 1.500
## 232 27.30000 33.10000 25.40000 9.000
## 233 27.10000 32.40000 24.10000 68.000
## 234 29.20000 34.00000 26.30000 10.928
## 235 28.80000 32.40000 25.30000 0.000
## 236 27.00000 31.30000 25.40000 0.300
## 237 27.70000 32.80000 25.50000 10.000
## 238 27.40000 32.00000 25.00000 44.000
## 239 28.40000 32.00000 24.20000 3.000
## 240 27.60000 32.90000 23.90000 59.000
## 241 28.00000 33.40000 24.70000 14.000
## 242 27.60000 32.40000 24.60000 11.200
## 243 27.80000 32.70000 24.30000 37.000
## 244 27.70000 32.60000 25.80000 6.000
## 245 29.00000 33.10000 25.90000 15.300
## 246 29.20000 32.40000 25.50000 0.000
## 247 28.80000 32.10000 25.40000 0.000
## 248 28.60000 32.40000 25.50000 3.000
## 249 27.30000 31.40000 23.70000 22.200
## 250 26.50000 34.00000 23.70000 77.000
## 251 28.70000 33.30000 25.60000 0.000
## 252 29.00000 32.50000 25.10000 0.000
## 253 29.20000 32.60000 25.30000 0.000
## 254 28.70000 32.80000 25.20000 6.000
## 255 29.60000 32.60000 26.00000 3.000
## 256 28.50000 32.20000 25.30000 0.800
## 257 28.20000 31.30000 24.40000 0.000
## 258 26.60000 32.50000 24.40000 64.800
## 259 27.90000 32.00000 25.40000 7.000
## 260 27.80000 30.30000 25.70000 10.928
## 261 27.80000 32.40000 26.00000 10.928
## 262 28.60000 31.70000 26.00000 0.000
## 263 27.40000 32.50000 25.40000 0.800
## 264 28.10000 31.80000 25.40000 25.000
## 265 28.80000 32.70000 25.50000 0.800
## 266 28.20000 32.70000 25.00000 0.000
## 267 29.00000 32.70000 24.40000 0.000
## 268 27.50000 30.80000 24.30000 10.928
## 269 27.10000 32.70000 24.20000 63.300
## 270 28.80000 32.70000 25.40000 10.928
## 271 28.20000 31.60000 24.40000 14.000
## 272 26.90000 32.80000 24.40000 16.000
## 273 28.50000 31.80000 24.80000 0.000
## 274 27.50000 33.70000 24.70000 16.000
## 275 28.90000 32.10000 25.50000 10.928
## 276 28.00000 32.20000 25.10000 0.300
## 277 28.00000 32.20000 25.10000 1.000
## 278 28.10000 31.10000 25.00000 0.000
## 279 26.50000 29.80000 24.70000 4.000
## 280 27.80000 31.90000 25.40000 1.000
## 281 28.00000 31.30000 25.60000 10.928
## 282 27.50000 32.10000 25.40000 10.928
## 283 29.20000 32.70000 26.30000 9.000
## 284 28.50000 32.40000 25.20000 17.000
## 285 28.00000 32.30000 26.00000 17.000
## 286 28.70000 33.10000 25.20000 0.000
## 287 28.50000 32.60000 24.90000 10.000
## 288 28.60000 32.60000 24.80000 12.700
## 289 29.10000 32.90000 26.20000 10.928
## 290 29.00000 33.90000 25.40000 2.300
## 291 29.50000 32.80000 26.30000 0.000
## 292 28.30000 32.00000 25.40000 0.000
## 293 29.00000 32.80000 25.80000 4.000
## 294 27.80000 32.30000 24.60000 10.928
## 295 28.90000 33.20000 25.60000 0.700
## 296 27.50000 33.20000 24.20000 10.928
## 297 28.70000 33.40000 26.20000 0.000
## 298 29.00000 33.00000 26.10000 0.000
## 299 29.10000 33.10000 26.20000 1.000
## 300 29.80000 33.30000 26.30000 10.928
## 301 27.00000 33.00000 24.70000 10.928
## 302 27.70000 33.50000 24.80000 11.000
## 303 29.10000 32.60000 24.10000 10.928
## 304 29.30000 34.00000 24.20000 18.000
## 305 29.90000 33.80000 26.70000 0.000
## 306 30.40000 33.70000 26.30000 0.000
## 307 29.90000 32.90000 27.10000 10.928
## 308 30.10000 33.20000 27.70000 0.000
## 309 29.10000 32.60000 26.30000 0.000
## 310 29.50000 32.70000 26.00000 0.200
## 311 29.60000 33.00000 25.80000 0.000
## 312 28.40000 32.50000 25.20000 0.000
## 313 28.30000 32.00000 25.10000 0.000
## 314 28.20000 31.60000 24.90000 9.000
## 315 29.20000 33.30000 25.70000 1.600
## 316 28.70000 32.50000 25.80000 0.000
## 317 28.30000 31.70000 25.20000 7.000
## 318 26.70000 30.40000 25.20000 2.000
## 319 28.00000 33.20000 23.80000 74.000
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## 1904 26.70000 29.60000 24.70000 1.200
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## 1909 27.90000 30.70000 24.20000 2.800
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## 1917 27.10000 30.90000 23.00000 122.000
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## 1920 26.50000 29.80000 23.50000 0.000
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## 1929 28.70000 31.00000 25.70000 0.800
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## 1939 28.50000 31.10000 25.90000 10.928
## 1940 28.20000 31.40000 25.40000 0.000
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## 1957 27.00000 30.10000 24.90000 3.000
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## 1986 27.20000 31.10000 23.80000 53.000
## 1987 26.00000 32.90000 22.70000 10.100
## 1988 28.20000 31.60000 25.20000 10.928
## 1989 28.40000 31.60000 26.20000 10.928
## 1990 29.10000 33.60000 23.90000 0.000
## 1991 28.20000 32.40000 24.10000 10.928
## 1992 28.10000 33.10000 22.60000 5.000
## 1993 27.90000 32.00000 24.60000 2.000
## 1994 27.50000 30.10000 24.10000 0.000
## 1995 27.20000 30.80000 23.50000 0.000
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## 1997 27.60000 32.00000 24.00000 8.000
## 1998 27.00000 30.60000 24.10000 4.000
## 1999 27.70000 29.60000 25.00000 0.100
## 2000 26.80000 32.70000 23.70000 28.000
## 2001 28.20000 33.00000 23.20000 0.000
## 2002 27.50000 33.30000 23.00000 32.000
## 2003 29.00000 32.70000 26.00000 0.000
## 2004 28.20000 31.20000 24.10000 0.000
## 2005 28.80000 34.50000 24.10000 2.000
## 2006 28.90000 33.30000 25.70000 2.000
## 2007 28.60000 31.70000 25.60000 12.000
## 2008 29.00000 32.30000 24.50000 10.928
## 2009 28.50000 31.60000 24.80000 0.000
## 2010 28.60000 33.30000 24.60000 0.000
## 2011 28.00000 32.30000 25.40000 10.928
## 2012 28.20000 33.40000 25.00000 0.000
## 2013 28.60000 31.80000 25.10000 10.928
## 2014 28.50000 31.40000 25.30000 0.000
## 2015 28.30000 32.80000 25.20000 0.000
## 2016 28.80000 31.80000 25.30000 0.000
## 2017 28.70000 32.40000 24.50000 0.000
## 2018 28.50000 33.80000 24.60000 0.000
## 2019 28.70000 33.30000 25.00000 0.000
## 2020 28.50000 33.30000 24.30000 0.000
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## 3683 27.70000 31.10000 24.70000 20.000
## 3684 28.40000 31.40000 25.50000 0.000## TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## 0 0 0 0Plot mean perbadingan timeseries
## Warning: package 'dygraphs' was built under R version 4.3.3## Warning: package 'xts' was built under R version 4.3.3## Loading required package: zoo##
## Attaching package: 'zoo'## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric##
## ######################### Warning from 'xts' package ##########################
## # #
## # The dplyr lag() function breaks how base R's lag() function is supposed to #
## # work, which breaks lag(my_xts). Calls to lag(my_xts) that you type or #
## # source() into this session won't work correctly. #
## # #
## # Use stats::lag() to make sure you're not using dplyr::lag(), or you can add #
## # conflictRules('dplyr', exclude = 'lag') to your .Rprofile to stop #
## # dplyr from breaking base R's lag() function. #
## # #
## # Code in packages is not affected. It's protected by R's namespace mechanism #
## # Set `options(xts.warn_dplyr_breaks_lag = FALSE)` to suppress this warning. #
## # #
## #################################################################################
## Attaching package: 'xts'## The following objects are masked from 'package:dplyr':
##
## first, last# Format 3: Several variables for each date
n <- length(seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7))
data <- data.frame(
time = seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7),
value1 = result$Precmm[1:n],
value2 = bppmean$Precmm[1:n]
)
# Then you can create the xts format:
don=xts( x=data[,-1], order.by=data$time)
# Chart
p <- dygraph(don) %>%
dyAxis("y", label = "Precipitation (mm)") %>%
dySeries("value1", label = "Mean", color = "red") %>%
dySeries("value2", label = "Data full", color = "black")
pmaeknn. <- mae_imputation(bppp, result, missing_maskk)
mseknn. <- mse_imputation(bppp, result, missing_maskk)
rmseknn. <- rmse_imputation(bppp, result, missing_maskk)
mapeknn. <- mape_imputation(bppp, result, missing_maskk)
maeknn.## [1] 11.55788## [1] 1907.248## [1] 43.67205## [1] Inf##Metode rpart Rpart membangun pohon keputusan atau regresi berdasarkan data yang tersedia. Menghasilkan beberapa set data yang berbeda, yang disebut multiple imputation, untuk mencerminkan ketidakpastian dalam proses imputasi.
library(rpart)
# Fungsi untuk imputasi menggunakan rpart untuk semua kolom yang memiliki nilai hilang
impute_with_rpart_all <- function(df) {
# Identifikasi kolom dengan nilai hilang
missing_cols <- colnames(df)[colSums(is.na(df)) > 0]
for (col in missing_cols) {
# Cek tipe data kolom
if (is.factor(df[[col]])) {
# Jika kolom adalah faktor (kategorikal)
model <- rpart(as.formula(paste(col, "~ .")),
data = df[!is.na(df[[col]]), ],
method = "class",
na.action = na.omit)
# Prediksi untuk nilai yang hilang
pred <- predict(model, df[is.na(df[[col]]), ], type = "class")
} else {
# Jika kolom adalah numerik
model <- rpart(as.formula(paste(col, "~ .")),
data = df[!is.na(df[[col]]), ],
method = "anova",
na.action = na.omit)
# Prediksi untuk nilai yang hilang
pred <- predict(model, df[is.na(df[[col]]), ])
}
# Imputasi nilai hilang
df[[col]][is.na(df[[col]])] <- pred
}
return(df)
}## TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## 1 28.00000 30.30000 25.10000 0.000000
## 2 28.00000 31.20000 24.70000 0.600000
## 3 27.10000 30.40000 24.80000 0.300000
## 4 26.10000 29.00000 24.10000 1.000000
## 5 26.80000 30.00000 24.70000 111.300000
## 6 26.90000 28.40000 24.20000 1.900000
## 7 26.50000 28.00000 24.60000 29.000000
## 8 26.80000 30.80000 24.70000 9.000000
## 9 26.10000 29.80000 24.00000 16.910562
## 10 25.90000 28.40000 24.90000 10.000000
## 11 27.40000 29.70000 25.60000 13.600000
## 12 27.70000 29.40000 24.10000 44.000000
## 13 26.20000 29.20000 24.20000 44.000000
## 14 27.30000 30.20000 24.70000 6.000000
## 15 28.20000 30.20000 25.00000 0.300000
## 16 26.50000 30.20000 24.00000 12.000000
## 17 26.70000 29.20000 24.40000 100.000000
## 18 27.60000 30.00000 25.40000 65.000000
## 19 27.70000 29.70000 25.00000 5.168976
## 20 27.90000 30.30000 24.90000 7.200000
## 21 28.30000 31.30000 25.60000 0.000000
## 22 27.70000 30.90000 23.30000 19.000000
## 23 25.80000 30.40000 23.50000 106.500000
## 24 26.30000 30.00000 23.40000 20.000000
## 25 26.80000 28.50000 24.20000 54.200000
## 26 27.50000 30.60000 24.40000 3.900000
## 27 28.10000 30.40000 23.70000 73.000000
## 28 27.70000 29.60000 25.00000 75.100000
## 29 27.30000 28.90000 25.10000 9.300000
## 30 28.40000 30.80000 26.50000 20.000000
## 31 28.90000 31.40000 25.70000 5.168976
## 32 28.40000 31.50000 25.40000 8.000000
## 33 29.30000 31.50000 27.10000 0.000000
## 34 29.20000 31.70000 26.70000 0.000000
## 35 28.80000 31.00000 25.60000 5.168976
## 36 28.90000 31.80000 26.10000 0.000000
## 37 28.50000 30.40000 24.70000 0.000000
## 38 27.80000 31.10000 24.90000 81.200000
## 39 28.70000 31.30000 26.70000 0.000000
## 40 27.70000 31.20000 25.00000 0.000000
## 41 27.90000 30.60000 25.60000 26.800000
## 42 28.30000 31.20000 26.20000 16.000000
## 43 28.40000 30.50000 26.40000 0.000000
## 44 26.80000 30.60000 24.30000 0.000000
## 45 28.60000 30.30000 25.80000 0.800000
## 46 28.10000 30.40000 24.70000 0.000000
## 47 28.30000 31.00000 24.70000 30.000000
## 48 28.40000 30.90000 24.80000 0.000000
## 49 26.80000 30.40000 24.80000 82.000000
## 50 27.50000 29.80000 25.80000 5.168976
## 51 27.90000 30.80000 25.90000 5.168976
## 52 28.40000 30.70000 24.70000 0.000000
## 53 26.30000 30.20000 22.90000 0.300000
## 54 27.10000 29.20000 23.20000 47.000000
## 55 25.60000 29.10000 23.70000 10.000000
## 56 27.30000 30.90000 23.90000 37.000000
## 57 27.80000 31.70000 23.90000 35.000000
## 58 28.40000 31.70000 25.40000 0.000000
## 59 26.70000 31.00000 24.30000 2.200000
## 60 25.90000 27.90000 24.30000 19.700000
## 61 27.00000 30.10000 25.20000 9.200000
## 62 27.70000 30.10000 25.60000 0.800000
## 63 27.30000 30.00000 24.10000 9.400000
## 64 27.20000 31.10000 24.10000 34.000000
## 65 28.80000 31.80000 26.30000 4.000000
## 66 29.10000 31.60000 25.50000 0.000000
## 67 28.20000 30.80000 25.00000 0.000000
## 68 26.30000 29.70000 24.70000 0.000000
## 69 26.40000 30.10000 24.40000 20.600000
## 70 27.10000 30.60000 23.80000 36.200000
## 71 28.40000 31.20000 25.70000 5.168976
## 72 28.80000 31.20000 25.40000 0.300000
## 73 26.90000 31.10000 24.90000 4.000000
## 74 27.10000 31.30000 24.60000 12.000000
## 75 27.40000 31.80000 24.70000 35.000000
## 76 28.30000 31.10000 24.50000 0.000000
## 77 28.10000 30.70000 24.50000 8.000000
## 78 27.20000 29.60000 25.00000 13.100000
## 79 26.60000 29.10000 25.00000 5.168976
## 80 27.80000 31.70000 24.70000 31.000000
## 81 27.80000 32.20000 25.20000 2.000000
## 82 27.00000 32.20000 25.40000 1.400000
## 83 28.40000 31.70000 24.50000 10.000000
## 84 28.00000 31.60000 26.10000 0.000000
## 85 27.40000 31.30000 24.70000 34.000000
## 86 27.70000 30.40000 24.80000 0.100000
## 87 27.60000 31.70000 25.30000 10.600000
## 88 27.70000 30.40000 24.10000 5.200000
## 89 27.80000 31.40000 24.20000 68.800000
## 90 27.60000 31.10000 24.90000 1.000000
## 91 27.30000 32.90000 25.20000 58.200000
## 92 29.20000 32.90000 25.60000 3.000000
## 93 29.00000 31.70000 26.40000 0.000000
## 94 28.20000 33.00000 25.30000 16.000000
## 95 28.80000 32.10000 26.70000 0.000000
## 96 27.40000 31.00000 24.20000 4.000000
## 97 26.50000 29.90000 24.40000 47.500000
## 98 28.60000 31.90000 26.10000 50.000000
## 99 29.50000 32.10000 25.00000 5.168976
## 100 28.50000 31.70000 26.20000 0.000000
## 101 28.60000 31.50000 25.80000 11.000000
## 102 29.00000 32.30000 25.40000 37.000000
## 103 28.30000 31.00000 24.10000 40.000000
## 104 28.30000 32.80000 25.10000 20.000000
## 105 28.40000 32.80000 24.80000 74.000000
## 106 28.70000 30.60000 25.20000 0.000000
## 107 28.30000 32.60000 25.20000 2.800000
## 108 30.10000 32.10000 27.20000 0.000000
## 109 29.50000 32.30000 26.30000 0.000000
## 110 29.40000 32.30000 26.30000 13.000000
## 111 28.10000 32.10000 24.70000 0.000000
## 112 27.70000 32.30000 25.10000 22.000000
## 113 29.00000 32.10000 25.80000 8.100000
## 114 28.60000 32.00000 25.80000 0.000000
## 115 28.00000 32.10000 26.30000 5.168976
## 116 29.80000 33.00000 26.70000 0.000000
## 117 29.50000 31.90000 24.80000 0.000000
## 118 27.70000 30.60000 24.90000 5.500000
## 119 28.80000 32.30000 24.90000 21.500000
## 120 27.00000 31.60000 24.80000 0.100000
## 121 27.60000 31.90000 25.00000 19.000000
## 122 29.70000 33.30000 26.00000 11.100000
## 123 29.20000 32.60000 26.70000 5.168976
## 124 28.00000 31.60000 25.00000 0.500000
## 125 28.70000 32.70000 25.70000 25.000000
## 126 28.70000 32.30000 25.70000 21.000000
## 127 29.10000 33.60000 26.20000 0.600000
## 128 29.30000 32.50000 25.80000 0.000000
## 129 27.70000 31.80000 25.30000 5.000000
## 130 27.60000 33.20000 25.50000 14.000000
## 131 29.30000 33.40000 26.30000 0.300000
## 132 29.40000 33.80000 26.30000 5.168976
## 133 29.40000 32.70000 26.40000 0.800000
## 134 29.80000 33.60000 26.30000 0.000000
## 135 29.00000 32.90000 26.50000 5.168976
## 136 29.80000 33.00000 26.20000 5.168976
## 137 29.50000 32.80000 25.10000 0.000000
## 138 29.40000 32.20000 26.50000 0.000000
## 139 29.40000 32.60000 26.40000 0.000000
## 140 29.60000 32.80000 26.30000 0.000000
## 141 29.40000 32.60000 26.10000 5.168976
## 142 29.60000 33.20000 25.00000 0.000000
## 143 29.00000 33.00000 26.30000 0.000000
## 144 29.40000 34.50000 25.10000 2.000000
## 145 27.70000 34.50000 24.90000 12.000000
## 146 29.70000 34.80000 26.40000 0.000000
## 147 29.80000 35.20000 26.60000 0.000000
## 148 30.10000 34.40000 25.60000 0.000000
## 149 29.90000 34.80000 25.50000 0.000000
## 150 29.50000 34.00000 25.50000 0.000000
## 151 29.00000 33.00000 25.10000 0.000000
## 152 28.20000 32.00000 25.00000 5.168976
## 153 27.40000 31.10000 25.80000 5.000000
## 154 28.70000 32.10000 24.80000 4.000000
## 155 27.50000 30.70000 24.40000 0.000000
## 156 26.10000 28.60000 24.30000 103.300000
## 157 27.70000 32.40000 24.90000 39.000000
## 158 28.90000 32.40000 24.90000 12.000000
## 159 29.30000 33.90000 26.00000 0.000000
## 160 29.50000 33.40000 25.20000 0.000000
## 161 28.90000 33.20000 25.00000 0.000000
## 162 27.60000 31.30000 24.30000 16.910562
## 163 27.40000 31.40000 24.70000 3.300000
## 164 28.10000 32.00000 24.70000 0.000000
## 165 28.60000 31.80000 23.70000 36.999535
## 166 28.20000 33.50000 23.20000 35.500000
## 167 28.70000 32.10000 25.00000 0.000000
## 168 28.40000 32.60000 25.00000 5.168976
## 169 28.80000 33.90000 25.00000 0.000000
## 170 29.30000 33.90000 25.60000 0.000000
## 171 28.80000 32.30000 24.50000 0.000000
## 172 27.70000 33.10000 23.80000 34.800000
## 173 28.90000 32.20000 24.50000 5.168976
## 174 27.00000 32.60000 24.50000 5.168976
## 175 25.90000 32.60000 24.90000 4.000000
## 176 28.50000 33.20000 25.00000 24.000000
## 177 28.40000 32.60000 25.10000 5.168976
## 178 28.50000 32.90000 24.80000 22.900000
## 179 28.60000 32.70000 25.80000 0.000000
## 180 27.80000 32.70000 26.00000 11.700000
## 181 28.40000 32.40000 26.00000 6.100000
## 182 28.70000 33.20000 26.00000 0.100000
## 183 29.00000 32.70000 25.80000 0.000000
## 184 30.10000 34.50000 25.70000 0.000000
## 185 29.70000 34.20000 25.90000 0.000000
## 186 29.00000 32.70000 24.80000 0.000000
## 187 27.20000 31.30000 24.50000 0.600000
## 188 27.40000 35.60000 24.40000 21.500000
## 189 29.40000 34.10000 24.80000 11.000000
## 190 29.60000 33.30000 26.20000 0.000000
## 191 29.40000 35.40000 26.20000 0.000000
## 192 30.00000 34.60000 26.30000 0.000000
## 193 29.50000 33.70000 25.70000 0.000000
## 194 29.30000 33.30000 25.60000 0.000000
## 195 29.30000 34.00000 25.40000 0.000000
## 196 29.10000 34.70000 25.40000 0.000000
## 197 29.20000 34.70000 24.80000 0.000000
## 198 28.80000 34.00000 25.60000 0.000000
## 199 28.70000 33.00000 25.10000 5.168976
## 200 28.60000 32.80000 25.10000 0.000000
## 201 27.90000 32.60000 24.70000 0.000000
## 202 27.40000 32.00000 24.90000 10.000000
## 203 27.40000 31.60000 24.90000 6.000000
## 204 26.80000 31.40000 24.90000 15.000000
## 205 28.70000 33.10000 26.00000 11.500000
## 206 28.30000 32.20000 24.50000 5.168976
## 207 27.70000 32.70000 23.30000 122.000000
## 208 29.10000 32.80000 24.70000 0.000000
## 209 28.10000 32.10000 24.00000 71.000000
## 210 27.30000 32.20000 25.00000 20.500000
## 211 27.20000 32.20000 24.60000 18.000000
## 212 28.80000 32.10000 24.10000 16.910562
## 213 26.30000 31.70000 24.10000 9.000000
## 214 29.10000 32.50000 25.00000 0.000000
## 215 28.70000 32.20000 25.40000 0.000000
## 216 28.80000 33.40000 25.00000 0.000000
## 217 28.80000 33.00000 24.70000 0.000000
## 218 29.10000 33.90000 25.40000 0.000000
## 219 28.10000 33.50000 25.40000 1.800000
## 220 27.90000 31.40000 24.70000 0.000000
## 221 26.60000 31.20000 23.70000 3.100000
## 222 27.80000 33.80000 23.60000 10.000000
## 223 27.60000 31.80000 24.00000 4.000000
## 224 27.20000 31.60000 23.90000 6.000000
## 225 27.70000 31.10000 24.40000 12.000000
## 226 28.40000 33.50000 24.30000 66.000000
## 227 29.10000 33.00000 25.60000 0.000000
## 228 28.10000 32.90000 23.30000 0.000000
## 229 27.60000 31.60000 24.10000 3.900000
## 230 27.20000 31.80000 24.50000 25.000000
## 231 27.10000 31.30000 25.00000 1.500000
## 232 27.30000 33.10000 25.40000 9.000000
## 233 27.10000 32.40000 24.10000 68.000000
## 234 29.20000 34.00000 26.30000 5.168976
## 235 28.80000 32.40000 25.30000 0.000000
## 236 27.00000 31.30000 25.40000 0.300000
## 237 27.70000 32.80000 25.50000 10.000000
## 238 27.40000 32.00000 25.00000 44.000000
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## 240 27.60000 32.90000 23.90000 59.000000
## 241 28.00000 33.40000 24.70000 14.000000
## 242 27.60000 32.40000 24.60000 11.200000
## 243 27.80000 32.70000 24.30000 37.000000
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## 248 28.60000 32.40000 25.50000 3.000000
## 249 27.30000 31.40000 23.70000 22.200000
## 250 26.50000 34.00000 23.70000 77.000000
## 251 28.70000 33.30000 25.60000 0.000000
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## 259 27.90000 32.00000 25.40000 7.000000
## 260 27.80000 30.30000 25.70000 5.168976
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## 275 28.90000 32.10000 25.50000 5.168976
## 276 28.00000 32.20000 25.10000 0.300000
## 277 28.00000 32.20000 25.10000 1.000000
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## 279 26.50000 29.80000 24.70000 4.000000
## 280 27.80000 31.90000 25.40000 1.000000
## 281 28.00000 31.30000 25.60000 5.168976
## 282 27.50000 32.10000 25.40000 5.168976
## 283 29.20000 32.70000 26.30000 9.000000
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## 285 28.00000 32.30000 26.00000 17.000000
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## 288 28.60000 32.60000 24.80000 12.700000
## 289 29.10000 32.90000 26.20000 5.168976
## 290 29.00000 33.90000 25.40000 2.300000
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## 1888 28.30000 30.70000 25.60000 0.000000
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## 1898 27.60000 30.30000 25.00000 29.000000
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## 1900 27.20000 30.50000 24.60000 0.000000
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## 1903 26.70000 29.80000 22.80000 113.000000
## 1904 26.70000 29.60000 24.70000 1.200000
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## 1906 27.60000 30.40000 24.70000 54.000000
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## 1909 27.90000 30.70000 24.20000 2.800000
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## 1912 27.20000 30.00000 25.00000 6.000000
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## 1917 27.10000 30.90000 23.00000 122.000000
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## 1920 26.50000 29.80000 23.50000 0.000000
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## 1922 27.70000 32.40000 24.40000 12.200000
## 1923 27.30000 31.90000 24.50000 0.000000
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## 1927 26.40000 30.70000 23.80000 1.700000
## 1928 27.90000 31.00000 24.30000 21.400000
## 1929 28.70000 31.00000 25.70000 0.800000
## 1930 29.60000 32.10000 26.90000 3.400000
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## 1939 28.50000 31.10000 25.90000 5.168976
## 1940 28.20000 31.40000 25.40000 0.000000
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## 1943 29.20000 31.80000 25.10000 4.000000
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## 1949 26.20000 32.20000 22.70000 23.200000
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## 1953 27.20000 31.20000 24.80000 1.400000
## 1954 27.90000 31.60000 26.10000 5.168976
## 1955 27.90000 30.70000 25.10000 9.000000
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## 1957 27.00000 30.10000 24.90000 3.000000
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## 1967 27.20000 32.60000 24.50000 19.000000
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## 1969 27.00000 31.30000 25.40000 4.400000
## 1970 27.90000 31.20000 25.00000 8.000000
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## 1972 28.00000 32.00000 24.30000 5.000000
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## 1976 27.40000 31.60000 24.40000 14.000000
## 1977 26.90000 30.40000 24.30000 7.400000
## 1978 26.50000 29.70000 23.60000 6.000000
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## 1980 27.00000 30.20000 23.10000 26.200000
## 1981 27.00000 32.20000 23.90000 4.000000
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## 1986 27.20000 31.10000 23.80000 53.000000
## 1987 26.00000 32.90000 22.70000 10.100000
## 1988 28.20000 31.60000 25.20000 5.168976
## 1989 28.40000 31.60000 26.20000 5.168976
## 1990 29.10000 33.60000 23.90000 0.000000
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## 1992 28.10000 33.10000 22.60000 5.000000
## 1993 27.90000 32.00000 24.60000 2.000000
## 1994 27.50000 30.10000 24.10000 0.000000
## 1995 27.20000 30.80000 23.50000 0.000000
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## 1997 27.60000 32.00000 24.00000 8.000000
## 1998 27.00000 30.60000 24.10000 4.000000
## 1999 27.70000 29.60000 25.00000 0.100000
## 2000 26.80000 32.70000 23.70000 28.000000
## 2001 28.20000 33.00000 23.20000 0.000000
## 2002 27.50000 33.30000 23.00000 32.000000
## 2003 29.00000 32.70000 26.00000 0.000000
## 2004 28.20000 31.20000 24.10000 0.000000
## 2005 28.80000 34.50000 24.10000 2.000000
## 2006 28.90000 33.30000 25.70000 2.000000
## 2007 28.60000 31.70000 25.60000 12.000000
## 2008 29.00000 32.30000 24.50000 5.168976
## 2009 28.50000 31.60000 24.80000 0.000000
## 2010 28.60000 33.30000 24.60000 0.000000
## 2011 28.00000 32.30000 25.40000 5.168976
## 2012 28.20000 33.40000 25.00000 0.000000
## 2013 28.60000 31.80000 25.10000 5.168976
## 2014 28.50000 31.40000 25.30000 0.000000
## 2015 28.30000 32.80000 25.20000 0.000000
## 2016 28.80000 31.80000 25.30000 0.000000
## 2017 28.70000 32.40000 24.50000 0.000000
## 2018 28.50000 33.80000 24.60000 0.000000
## 2019 28.70000 33.30000 25.00000 0.000000
## 2020 28.50000 33.30000 24.30000 0.000000
## 2021 28.80000 33.00000 25.10000 0.000000
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## 3684 28.40000 31.40000 25.50000 0.000000Plot Rpart perbadingan timeseries
# Libraries
library(dygraphs)
library(xts) # To make the convertion data-frame / xts format
# Format 3: Several variables for each date
n <- length(seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7))
data <- data.frame(
time = seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7),
value1 = result6$Precmm[1:n],
value2 = bppmean$Precmm[1:n]
)
# Then you can create the xts format:
don=xts( x=data[,-1], order.by=data$time)
# Chart
p <- dygraph(don) %>%
dyAxis("y", label = "Precipitation (mm)") %>%
dySeries("value1", label = "Rpart", color = "red") %>%
dySeries("value2", label = "Mean bulanan", color = "black")
pmaerpart <- mae_imputation(bppp, result6, missing_maskk)
mserpart <- mse_imputation(bppp, result6, missing_maskk)
rmserpart <- rmse_imputation(bppp, result6, missing_maskk)
maperpart <- mape_imputation(bppp, result6, missing_maskk)
maerpart## [1] 9.453801## [1] 1928.495## [1] 43.91464## [1] Inf##Metode Missranger (mean machine)
## Warning: package 'missRanger' was built under R version 4.3.3## Missing value imputation by random forests##
## Variables to impute: TemperatureCMax, TemperatureCAvg, TemperatureCMin, Precmm
## Variables used to impute: TemperatureCAvg, TemperatureCMax, TemperatureCMin, Precmm
##
## iter 1
##
|
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|
|================== | 25%
|
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|
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|
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## iter 2
##
|
| | 0%
|
|================== | 25%
|
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|
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|
|======================================================================| 100%
## iter 3
##
|
| | 0%
|
|================== | 25%
|
|=================================== | 50%
|
|==================================================== | 75%
|
|======================================================================| 100%
## iter 4
##
|
| | 0%
|
|================== | 25%
|
|=================================== | 50%
|
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## iter 5
##
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|
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|==================================================== | 75%
|
|======================================================================| 100%## TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## 1 28.00000 30.30000 25.10000 0.0000000
## 2 28.00000 31.20000 24.70000 0.6000000
## 3 27.10000 30.40000 24.80000 0.3000000
## 4 26.10000 29.00000 24.10000 1.0000000
## 5 26.80000 30.00000 24.70000 111.3000000
## 6 26.90000 28.40000 24.20000 1.9000000
## 7 26.50000 28.00000 24.60000 29.0000000
## 8 26.80000 30.80000 24.70000 9.0000000
## 9 26.10000 29.80000 24.00000 13.1728882
## 10 25.90000 28.40000 24.90000 10.0000000
## 11 27.40000 29.70000 25.60000 13.6000000
## 12 27.70000 29.40000 24.10000 44.0000000
## 13 26.20000 29.20000 24.20000 44.0000000
## 14 27.30000 30.20000 24.70000 6.0000000
## 15 28.20000 30.20000 25.00000 0.3000000
## 16 26.50000 30.20000 24.00000 12.0000000
## 17 26.70000 29.20000 24.40000 100.0000000
## 18 27.60000 30.00000 25.40000 65.0000000
## 19 27.70000 29.70000 25.00000 11.4483955
## 20 27.90000 30.30000 24.90000 7.2000000
## 21 28.30000 31.30000 25.60000 0.0000000
## 22 27.70000 30.90000 23.30000 19.0000000
## 23 25.80000 30.40000 23.50000 106.5000000
## 24 26.30000 30.00000 23.40000 20.0000000
## 25 26.80000 28.50000 24.20000 54.2000000
## 26 27.50000 30.60000 24.40000 3.9000000
## 27 28.10000 30.40000 23.70000 73.0000000
## 28 27.70000 29.60000 25.00000 75.1000000
## 29 27.30000 28.90000 25.10000 9.3000000
## 30 28.40000 30.80000 26.50000 20.0000000
## 31 28.90000 31.40000 25.70000 1.1385287
## 32 28.40000 31.50000 25.40000 8.0000000
## 33 29.30000 31.50000 27.10000 0.0000000
## 34 29.20000 31.70000 26.70000 0.0000000
## 35 28.80000 31.00000 25.60000 0.4526080
## 36 28.90000 31.80000 26.10000 0.0000000
## 37 28.50000 30.40000 24.70000 0.0000000
## 38 27.80000 31.10000 24.90000 81.2000000
## 39 28.70000 31.30000 26.70000 0.0000000
## 40 27.70000 31.20000 25.00000 0.0000000
## 41 27.90000 30.60000 25.60000 26.8000000
## 42 28.30000 31.20000 26.20000 16.0000000
## 43 28.40000 30.50000 26.40000 0.0000000
## 44 26.80000 30.60000 24.30000 0.0000000
## 45 28.60000 30.30000 25.80000 0.8000000
## 46 28.10000 30.40000 24.70000 0.0000000
## 47 28.30000 31.00000 24.70000 30.0000000
## 48 28.40000 30.90000 24.80000 0.0000000
## 49 26.80000 30.40000 24.80000 82.0000000
## 50 27.50000 29.80000 25.80000 7.0195430
## 51 27.90000 30.80000 25.90000 4.2498460
## 52 28.40000 30.70000 24.70000 0.0000000
## 53 26.30000 30.20000 22.90000 0.3000000
## 54 27.10000 29.20000 23.20000 47.0000000
## 55 25.60000 29.10000 23.70000 10.0000000
## 56 27.30000 30.90000 23.90000 37.0000000
## 57 27.80000 31.70000 23.90000 35.0000000
## 58 28.40000 31.70000 25.40000 0.0000000
## 59 26.70000 31.00000 24.30000 2.2000000
## 60 25.90000 27.90000 24.30000 19.7000000
## 61 27.00000 30.10000 25.20000 9.2000000
## 62 27.70000 30.10000 25.60000 0.8000000
## 63 27.30000 30.00000 24.10000 9.4000000
## 64 27.20000 31.10000 24.10000 34.0000000
## 65 28.80000 31.80000 26.30000 4.0000000
## 66 29.10000 31.60000 25.50000 0.0000000
## 67 28.20000 30.80000 25.00000 0.0000000
## 68 26.30000 29.70000 24.70000 0.0000000
## 69 26.40000 30.10000 24.40000 20.6000000
## 70 27.10000 30.60000 23.80000 36.2000000
## 71 28.40000 31.20000 25.70000 0.6280517
## 72 28.80000 31.20000 25.40000 0.3000000
## 73 26.90000 31.10000 24.90000 4.0000000
## 74 27.10000 31.30000 24.60000 12.0000000
## 75 27.40000 31.80000 24.70000 35.0000000
## 76 28.30000 31.10000 24.50000 0.0000000
## 77 28.10000 30.70000 24.50000 8.0000000
## 78 27.20000 29.60000 25.00000 13.1000000
## 79 26.60000 29.10000 25.00000 7.4467716
## 80 27.80000 31.70000 24.70000 31.0000000
## 81 27.80000 32.20000 25.20000 2.0000000
## 82 27.00000 32.20000 25.40000 1.4000000
## 83 28.40000 31.70000 24.50000 10.0000000
## 84 28.00000 31.60000 26.10000 0.0000000
## 85 27.40000 31.30000 24.70000 34.0000000
## 86 27.70000 30.40000 24.80000 0.1000000
## 87 27.60000 31.70000 25.30000 10.6000000
## 88 27.70000 30.40000 24.10000 5.2000000
## 89 27.80000 31.40000 24.20000 68.8000000
## 90 27.60000 31.10000 24.90000 1.0000000
## 91 27.30000 32.90000 25.20000 58.2000000
## 92 29.20000 32.90000 25.60000 3.0000000
## 93 29.00000 31.70000 26.40000 0.0000000
## 94 28.20000 33.00000 25.30000 16.0000000
## 95 28.80000 32.10000 26.70000 0.0000000
## 96 27.40000 31.00000 24.20000 4.0000000
## 97 26.50000 29.90000 24.40000 47.5000000
## 98 28.60000 31.90000 26.10000 50.0000000
## 99 29.50000 32.10000 25.00000 3.7111353
## 100 28.50000 31.70000 26.20000 0.0000000
## 101 28.60000 31.50000 25.80000 11.0000000
## 102 29.00000 32.30000 25.40000 37.0000000
## 103 28.30000 31.00000 24.10000 40.0000000
## 104 28.30000 32.80000 25.10000 20.0000000
## 105 28.40000 32.80000 24.80000 74.0000000
## 106 28.70000 30.60000 25.20000 0.0000000
## 107 28.30000 32.60000 25.20000 2.8000000
## 108 30.10000 32.10000 27.20000 0.0000000
## 109 29.50000 32.30000 26.30000 0.0000000
## 110 29.40000 32.30000 26.30000 13.0000000
## 111 28.10000 32.10000 24.70000 0.0000000
## 112 27.70000 32.30000 25.10000 22.0000000
## 113 29.00000 32.10000 25.80000 8.1000000
## 114 28.60000 32.00000 25.80000 0.0000000
## 115 28.00000 32.10000 26.30000 3.7295581
## 116 29.80000 33.00000 26.70000 0.0000000
## 117 29.50000 31.90000 24.80000 0.0000000
## 118 27.70000 30.60000 24.90000 5.5000000
## 119 28.80000 32.30000 24.90000 21.5000000
## 120 27.00000 31.60000 24.80000 0.1000000
## 121 27.60000 31.90000 25.00000 19.0000000
## 122 29.70000 33.30000 26.00000 11.1000000
## 123 29.20000 32.60000 26.70000 0.4920338
## 124 28.00000 31.60000 25.00000 0.5000000
## 125 28.70000 32.70000 25.70000 25.0000000
## 126 28.70000 32.30000 25.70000 21.0000000
## 127 29.10000 33.60000 26.20000 0.6000000
## 128 29.30000 32.50000 25.80000 0.0000000
## 129 27.70000 31.80000 25.30000 5.0000000
## 130 27.60000 33.20000 25.50000 14.0000000
## 131 29.30000 33.40000 26.30000 0.3000000
## 132 29.40000 33.80000 26.30000 0.5510721
## 133 29.40000 32.70000 26.40000 0.8000000
## 134 29.80000 33.60000 26.30000 0.0000000
## 135 29.00000 32.90000 26.50000 3.2550729
## 136 29.80000 33.00000 26.20000 0.1973725
## 137 29.50000 32.80000 25.10000 0.0000000
## 138 29.40000 32.20000 26.50000 0.0000000
## 139 29.40000 32.60000 26.40000 0.0000000
## 140 29.60000 32.80000 26.30000 0.0000000
## 141 29.40000 32.60000 26.10000 1.9580470
## 142 29.60000 33.20000 25.00000 0.0000000
## 143 29.00000 33.00000 26.30000 0.0000000
## 144 29.40000 34.50000 25.10000 2.0000000
## 145 27.70000 34.50000 24.90000 12.0000000
## 146 29.70000 34.80000 26.40000 0.0000000
## 147 29.80000 35.20000 26.60000 0.0000000
## 148 30.10000 34.40000 25.60000 0.0000000
## 149 29.90000 34.80000 25.50000 0.0000000
## 150 29.50000 34.00000 25.50000 0.0000000
## 151 29.00000 33.00000 25.10000 0.0000000
## 152 28.20000 32.00000 25.00000 3.4048213
## 153 27.40000 31.10000 25.80000 5.0000000
## 154 28.70000 32.10000 24.80000 4.0000000
## 155 27.50000 30.70000 24.40000 0.0000000
## 156 26.10000 28.60000 24.30000 103.3000000
## 157 27.70000 32.40000 24.90000 39.0000000
## 158 28.90000 32.40000 24.90000 12.0000000
## 159 29.30000 33.90000 26.00000 0.0000000
## 160 29.50000 33.40000 25.20000 0.0000000
## 161 28.90000 33.20000 25.00000 0.0000000
## 162 27.60000 31.30000 24.30000 18.9864534
## 163 27.40000 31.40000 24.70000 3.3000000
## 164 28.10000 32.00000 24.70000 0.0000000
## 165 28.60000 31.80000 23.70000 25.3784069
## 166 28.20000 33.50000 23.20000 35.5000000
## 167 28.70000 32.10000 25.00000 0.0000000
## 168 28.40000 32.60000 25.00000 5.2194030
## 169 28.80000 33.90000 25.00000 0.0000000
## 170 29.30000 33.90000 25.60000 0.0000000
## 171 28.80000 32.30000 24.50000 0.0000000
## 172 27.70000 33.10000 23.80000 34.8000000
## 173 28.90000 32.20000 24.50000 5.1172275
## 174 27.00000 32.60000 24.50000 16.7373918
## 175 25.90000 32.60000 24.90000 4.0000000
## 176 28.50000 33.20000 25.00000 24.0000000
## 177 28.40000 32.60000 25.10000 3.9566107
## 178 28.50000 32.90000 24.80000 22.9000000
## 179 28.60000 32.70000 25.80000 0.0000000
## 180 27.80000 32.70000 26.00000 11.7000000
## 181 28.40000 32.40000 26.00000 6.1000000
## 182 28.70000 33.20000 26.00000 0.1000000
## 183 29.00000 32.70000 25.80000 0.0000000
## 184 30.10000 34.50000 25.70000 0.0000000
## 185 29.70000 34.20000 25.90000 0.0000000
## 186 29.00000 32.70000 24.80000 0.0000000
## 187 27.20000 31.30000 24.50000 0.6000000
## 188 27.40000 35.60000 24.40000 21.5000000
## 189 29.40000 34.10000 24.80000 11.0000000
## 190 29.60000 33.30000 26.20000 0.0000000
## 191 29.40000 35.40000 26.20000 0.0000000
## 192 30.00000 34.60000 26.30000 0.0000000
## 193 29.50000 33.70000 25.70000 0.0000000
## 194 29.30000 33.30000 25.60000 0.0000000
## 195 29.30000 34.00000 25.40000 0.0000000
## 196 29.10000 34.70000 25.40000 0.0000000
## 197 29.20000 34.70000 24.80000 0.0000000
## 198 28.80000 34.00000 25.60000 0.0000000
## 199 28.70000 33.00000 25.10000 1.5831428
## 200 28.60000 32.80000 25.10000 0.0000000
## 201 27.90000 32.60000 24.70000 0.0000000
## 202 27.40000 32.00000 24.90000 10.0000000
## 203 27.40000 31.60000 24.90000 6.0000000
## 204 26.80000 31.40000 24.90000 15.0000000
## 205 28.70000 33.10000 26.00000 11.5000000
## 206 28.30000 32.20000 24.50000 6.3586031
## 207 27.70000 32.70000 23.30000 122.0000000
## 208 29.10000 32.80000 24.70000 0.0000000
## 209 28.10000 32.10000 24.00000 71.0000000
## 210 27.30000 32.20000 25.00000 20.5000000
## 211 27.20000 32.20000 24.60000 18.0000000
## 212 28.80000 32.10000 24.10000 20.4774106
## 213 26.30000 31.70000 24.10000 9.0000000
## 214 29.10000 32.50000 25.00000 0.0000000
## 215 28.70000 32.20000 25.40000 0.0000000
## 216 28.80000 33.40000 25.00000 0.0000000
## 217 28.80000 33.00000 24.70000 0.0000000
## 218 29.10000 33.90000 25.40000 0.0000000
## 219 28.10000 33.50000 25.40000 1.8000000
## 220 27.90000 31.40000 24.70000 0.0000000
## 221 26.60000 31.20000 23.70000 3.1000000
## 222 27.80000 33.80000 23.60000 10.0000000
## 223 27.60000 31.80000 24.00000 4.0000000
## 224 27.20000 31.60000 23.90000 6.0000000
## 225 27.70000 31.10000 24.40000 12.0000000
## 226 28.40000 33.50000 24.30000 66.0000000
## 227 29.10000 33.00000 25.60000 0.0000000
## 228 28.10000 32.90000 23.30000 0.0000000
## 229 27.60000 31.60000 24.10000 3.9000000
## 230 27.20000 31.80000 24.50000 25.0000000
## 231 27.10000 31.30000 25.00000 1.5000000
## 232 27.30000 33.10000 25.40000 9.0000000
## 233 27.10000 32.40000 24.10000 68.0000000
## 234 29.20000 34.00000 26.30000 0.5385963
## 235 28.80000 32.40000 25.30000 0.0000000
## 236 27.00000 31.30000 25.40000 0.3000000
## 237 27.70000 32.80000 25.50000 10.0000000
## 238 27.40000 32.00000 25.00000 44.0000000
## 239 28.40000 32.00000 24.20000 3.0000000
## 240 27.60000 32.90000 23.90000 59.0000000
## 241 28.00000 33.40000 24.70000 14.0000000
## 242 27.60000 32.40000 24.60000 11.2000000
## 243 27.80000 32.70000 24.30000 37.0000000
## 244 27.70000 32.60000 25.80000 6.0000000
## 245 29.00000 33.10000 25.90000 15.3000000
## 246 29.20000 32.40000 25.50000 0.0000000
## 247 28.80000 32.10000 25.40000 0.0000000
## 248 28.60000 32.40000 25.50000 3.0000000
## 249 27.30000 31.40000 23.70000 22.2000000
## 250 26.50000 34.00000 23.70000 77.0000000
## 251 28.70000 33.30000 25.60000 0.0000000
## 252 29.00000 32.50000 25.10000 0.0000000
## 253 29.20000 32.60000 25.30000 0.0000000
## 254 28.70000 32.80000 25.20000 6.0000000
## 255 29.60000 32.60000 26.00000 3.0000000
## 256 28.50000 32.20000 25.30000 0.8000000
## 257 28.20000 31.30000 24.40000 0.0000000
## 258 26.60000 32.50000 24.40000 64.8000000
## 259 27.90000 32.00000 25.40000 7.0000000
## 260 27.80000 30.30000 25.70000 4.1335942
## 261 27.80000 32.40000 26.00000 6.3401063
## 262 28.60000 31.70000 26.00000 0.0000000
## 263 27.40000 32.50000 25.40000 0.8000000
## 264 28.10000 31.80000 25.40000 25.0000000
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## 269 27.10000 32.70000 24.20000 63.3000000
## 270 28.80000 32.70000 25.40000 3.0336905
## 271 28.20000 31.60000 24.40000 14.0000000
## 272 26.90000 32.80000 24.40000 16.0000000
## 273 28.50000 31.80000 24.80000 0.0000000
## 274 27.50000 33.70000 24.70000 16.0000000
## 275 28.90000 32.10000 25.50000 2.1268202
## 276 28.00000 32.20000 25.10000 0.3000000
## 277 28.00000 32.20000 25.10000 1.0000000
## 278 28.10000 31.10000 25.00000 0.0000000
## 279 26.50000 29.80000 24.70000 4.0000000
## 280 27.80000 31.90000 25.40000 1.0000000
## 281 28.00000 31.30000 25.60000 2.2444906
## 282 27.50000 32.10000 25.40000 5.7132220
## 283 29.20000 32.70000 26.30000 9.0000000
## 284 28.50000 32.40000 25.20000 17.0000000
## 285 28.00000 32.30000 26.00000 17.0000000
## 286 28.70000 33.10000 25.20000 0.0000000
## 287 28.50000 32.60000 24.90000 10.0000000
## 288 28.60000 32.60000 24.80000 12.7000000
## 289 29.10000 32.90000 26.20000 4.6982930
## 290 29.00000 33.90000 25.40000 2.3000000
## 291 29.50000 32.80000 26.30000 0.0000000
## 292 28.30000 32.00000 25.40000 0.0000000
## 293 29.00000 32.80000 25.80000 4.0000000
## 294 27.80000 32.30000 24.60000 8.2395849
## 295 28.90000 33.20000 25.60000 0.7000000
## 296 27.50000 33.20000 24.20000 23.4502582
## 297 28.70000 33.40000 26.20000 0.0000000
## 298 29.00000 33.00000 26.10000 0.0000000
## 299 29.10000 33.10000 26.20000 1.0000000
## 300 29.80000 33.30000 26.30000 1.9910403
## 301 27.00000 33.00000 24.70000 18.4078723
## 302 27.70000 33.50000 24.80000 11.0000000
## 303 29.10000 32.60000 24.10000 15.3733989
## 304 29.30000 34.00000 24.20000 18.0000000
## 305 29.90000 33.80000 26.70000 0.0000000
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## 307 29.90000 32.90000 27.10000 1.9259608
## 308 30.10000 33.20000 27.70000 0.0000000
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## 316 28.70000 32.50000 25.80000 0.0000000
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## 318 26.70000 30.40000 25.20000 2.0000000
## 319 28.00000 33.20000 23.80000 74.0000000
## 320 28.90000 32.70000 24.40000 8.5441068
## 321 29.30000 32.10000 24.00000 15.0000000
## 322 29.70000 32.70000 27.30000 0.0000000
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## 335 28.70000 31.20000 26.40000 0.0000000
## 336 29.10000 31.70000 27.40000 0.0000000
## 337 29.10000 31.80000 26.50000 0.0000000
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## 339 28.90000 31.50000 25.00000 0.0000000
## 340 28.80000 31.80000 25.40000 0.0000000
## 341 29.10000 31.50000 26.20000 0.0000000
## 342 29.00000 31.60000 26.40000 0.0000000
## 343 29.10000 31.70000 26.30000 0.0000000
## 344 28.70000 31.40000 26.20000 0.0000000
## 345 28.80000 31.40000 26.80000 0.0000000
## 346 28.90000 31.80000 27.20000 0.0000000
## 347 28.70000 31.20000 25.80000 0.0000000
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## 349 27.30000 31.20000 24.80000 10.5175511
## 350 28.00000 31.00000 25.30000 0.5000000
## 351 28.70000 31.90000 25.70000 1.7127003
## 352 28.30000 31.40000 25.80000 0.7426313
## 353 28.40000 31.00000 24.50000 0.0000000
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## 355 27.30000 30.70000 23.70000 89.0000000
## 356 28.70000 31.90000 26.40000 0.0000000
## 357 28.80000 31.50000 26.20000 6.5511993
## 358 28.90000 31.40000 26.60000 0.0000000
## 359 28.90000 31.30000 26.10000 0.0000000
## 360 28.80000 31.80000 26.80000 0.7037521
## 361 28.90000 31.90000 25.80000 1.1107357
## 362 28.60000 31.10000 25.40000 0.0000000
## 363 27.70000 30.90000 24.90000 5.0300983
## 364 27.38939 30.80000 24.51077 9.2380711
## 365 28.50000 30.30000 25.30000 0.0000000
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## 1884 28.00000 30.80000 24.30000 0.0000000
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## 1887 28.30000 30.30000 26.30000 1.5176562
## 1888 28.30000 30.70000 25.60000 0.0000000
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## 1903 26.70000 29.80000 22.80000 113.0000000
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## 1923 27.30000 31.90000 24.50000 0.0000000
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## 1929 28.70000 31.00000 25.70000 0.8000000
## 1930 29.60000 32.10000 26.90000 3.4000000
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## 1938 29.10000 32.40000 25.60000 0.3000000
## 1939 28.50000 31.10000 25.90000 9.0515569
## 1940 28.20000 31.40000 25.40000 0.0000000
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## 1943 29.20000 31.80000 25.10000 4.0000000
## 1944 28.30000 31.60000 25.10000 0.0000000
## 1945 28.70000 31.60000 26.00000 0.0000000
## 1946 29.40000 32.30000 25.60000 0.0000000
## 1947 29.40000 32.30000 25.70000 0.0000000
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## 1949 26.20000 32.20000 22.70000 23.2000000
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## 1953 27.20000 31.20000 24.80000 1.4000000
## 1954 27.90000 31.60000 26.10000 6.4904047
## 1955 27.90000 30.70000 25.10000 9.0000000
## 1956 27.20000 30.50000 24.80000 40.0000000
## 1957 27.00000 30.10000 24.90000 3.0000000
## 1958 28.30000 32.60000 25.30000 6.5000000
## 1959 28.00000 31.90000 25.10000 0.0000000
## 1960 27.30000 31.90000 25.30000 6.0000000
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## 1967 27.20000 32.60000 24.50000 19.0000000
## 1968 27.40000 32.00000 24.60000 10.0393736
## 1969 27.00000 31.30000 25.40000 4.4000000
## 1970 27.90000 31.20000 25.00000 8.0000000
## 1971 27.80000 32.10000 24.70000 6.8445302
## 1972 28.00000 32.00000 24.30000 5.0000000
## 1973 27.90000 31.10000 24.40000 0.0000000
## 1974 27.50000 31.10000 24.70000 3.0000000
## 1975 26.90000 30.90000 24.70000 8.5009690
## 1976 27.40000 31.60000 24.40000 14.0000000
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## 1978 26.50000 29.70000 23.60000 6.0000000
## 1979 25.80000 30.30000 24.40000 32.2000000
## 1980 27.00000 30.20000 23.10000 26.2000000
## 1981 27.00000 32.20000 23.90000 4.0000000
## 1982 27.00000 29.90000 23.90000 14.4753414
## 1983 26.10000 31.50000 24.40000 5.9000000
## 1984 27.70000 31.30000 24.80000 23.0000000
## 1985 27.60000 31.30000 25.30000 15.0000000
## 1986 27.20000 31.10000 23.80000 53.0000000
## 1987 26.00000 32.90000 22.70000 10.1000000
## 1988 28.20000 31.60000 25.20000 2.6839845
## 1989 28.40000 31.60000 26.20000 4.1436366
## 1990 29.10000 33.60000 23.90000 0.0000000
## 1991 28.20000 32.40000 24.10000 7.6683611
## 1992 28.10000 33.10000 22.60000 5.0000000
## 1993 27.90000 32.00000 24.60000 2.0000000
## 1994 27.50000 30.10000 24.10000 0.0000000
## 1995 27.20000 30.80000 23.50000 0.0000000
## 1996 26.40000 32.30000 23.50000 13.0000000
## 1997 27.60000 32.00000 24.00000 8.0000000
## 1998 27.00000 30.60000 24.10000 4.0000000
## 1999 27.70000 29.60000 25.00000 0.1000000
## 2000 26.80000 32.70000 23.70000 28.0000000
## 2001 28.20000 33.00000 23.20000 0.0000000
## 2002 27.50000 33.30000 23.00000 32.0000000
## 2003 29.00000 32.70000 26.00000 0.0000000
## 2004 28.20000 31.20000 24.10000 0.0000000
## 2005 28.80000 34.50000 24.10000 2.0000000
## 2006 28.90000 33.30000 25.70000 2.0000000
## 2007 28.60000 31.70000 25.60000 12.0000000
## 2008 29.00000 32.30000 24.50000 3.6963776
## 2009 28.50000 31.60000 24.80000 0.0000000
## 2010 28.60000 33.30000 24.60000 0.0000000
## 2011 28.00000 32.30000 25.40000 7.6037120
## 2012 28.20000 33.40000 25.00000 0.0000000
## 2013 28.60000 31.80000 25.10000 3.0125618
## 2014 28.50000 31.40000 25.30000 0.0000000
## 2015 28.30000 32.80000 25.20000 0.0000000
## 2016 28.80000 31.80000 25.30000 0.0000000
## 2017 28.70000 32.40000 24.50000 0.0000000
## 2018 28.50000 33.80000 24.60000 0.0000000
## 2019 28.70000 33.30000 25.00000 0.0000000
## 2020 28.50000 33.30000 24.30000 0.0000000
## 2021 28.80000 33.00000 25.10000 0.0000000
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## 2029 28.50000 32.20000 25.30000 0.0000000
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## 3293 28.50000 31.20000 25.60000 0.0000000
## 3294 28.10000 31.00000 25.70000 0.0000000
## 3295 28.20000 30.40000 25.20000 0.0000000
## 3296 28.00000 29.70000 25.20000 0.0000000
## 3297 27.40000 29.70000 25.10000 5.4668804
## 3298 27.70000 30.10000 25.00000 3.8632853
## 3299 27.80000 30.40000 25.10000 2.5657650
## 3300 28.20000 30.20000 25.50000 0.0000000
## 3301 27.70000 30.50000 24.40000 0.0000000
## 3302 27.70000 29.90000 25.10000 1.0000000
## 3303 27.40000 30.70000 24.10000 0.0000000
## 3304 27.90000 30.80000 24.40000 0.0000000
## 3305 28.60000 31.40000 25.70000 0.5000000
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## 3309 28.40000 30.80000 26.60000 0.0000000
## 3310 28.10000 30.50000 25.80000 0.0000000
## 3311 28.00000 29.90000 25.80000 0.0000000
## 3312 27.90000 29.50000 25.90000 0.0000000
## 3313 27.70000 30.00000 24.70000 0.0000000
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## 3315 27.70000 29.90000 24.80000 0.0000000
## 3316 27.80000 30.50000 25.20000 0.0000000
## 3317 27.70000 29.80000 25.30000 0.0000000
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## 3319 27.60000 30.00000 25.00000 0.0000000
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## 3321 27.80000 29.90000 24.90000 5.8052508
## 3322 26.70000 29.60000 23.50000 50.0000000
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## 3325 27.80000 30.10000 24.20000 8.0000000
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## 3327 28.20000 30.20000 23.60000 11.8000000
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## 3684 28.40000 31.40000 25.50000 0.0000000Plot missranger perbadingan timeseries
# Libraries
library(dygraphs)
library(xts) # To make the convertion data-frame / xts format
# Format 3: Several variables for each date
n <- length(seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7))
data <- data.frame(
time = seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7),
value1 = meanmachine$Precmm[1:n],
value2 = bppmean$Precmm[1:n]
)
# Then you can create the xts format:
don=xts( x=data[,-1], order.by=data$time)
# Chart
p <- dygraph(don) %>%
dyAxis("y", label = "Precipitation (mm)") %>%
dySeries("value1", label = "MissRanger", color = "red") %>%
dySeries("value2", label = "Mean bulanan", color = "black")
pmaemm <- mae_imputation(bppp, meanmachine, missing_maskk)
msemm <- mse_imputation(bppp, meanmachine, missing_maskk)
rmsemm <- rmse_imputation(bppp, meanmachine, missing_maskk)
mapemm <- mape_imputation(bppp, meanmachine, missing_maskk)
maemm## [1] 9.214022## [1] 1946.559## [1] 44.11982## [1] Inf##Metode Kalman FIlter Menduga data hilang pada data time series sehingga bisa digunakan untuk memprediksi berdasarkan musim atau berdasarkan hari terdekat.
## Warning: package 'imputeTS' was built under R version 4.3.3## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zoo##
## Attaching package: 'imputeTS'## The following object is masked from 'package:zoo':
##
## na.locfPlot Kalman perbadingan timeseries
# Libraries
library(dygraphs)
library(xts) # To make the convertion data-frame / xts format
# Format 3: Several variables for each date
n <- length(seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7))
data <- data.frame(
time = seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7),
value1 = result8$Precmm[1:n],
value2 = bppmean$Precmm[1:n]
)
# Then you can create the xts format:
don=xts( x=data[,-1], order.by=data$time)
# Chart
p <- dygraph(don) %>%
dyAxis("y", label = "Precipitation (mm)") %>%
dySeries("value1", label = "Kalman-filter", color = "red") %>%
dySeries("value2", label = "Mean bulanan", color = "black")
pmaemm <- mae_imputation(bppp, result8, missing_maskk)
msemm <- mse_imputation(bppp, result8, missing_maskk)
rmsemm <- rmse_imputation(bppp, result8, missing_maskk)
mapemm <- mape_imputation(bppp, result8, missing_maskk)
maemm## [1] 11.02285## [1] 1894.503## [1] 43.52589## [1] InfMetode K-NN
## Warning: package 'VIM' was built under R version 4.3.3## Loading required package: colorspace## Loading required package: grid## VIM is ready to use.## Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues##
## Attaching package: 'VIM'## The following object is masked from 'package:datasets':
##
## sleepimputation_fun_vim <- function(df){
no_columns <- length(df)
imputed <- kNN(df)
imputed <- imputed[,1:no_columns]
return(imputed)
}## TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## 1 28.0 30.3 25.1 0.0
## 2 28.0 31.2 24.7 0.6
## 3 27.1 30.4 24.8 0.3
## 4 26.1 29.0 24.1 1.0
## 5 26.8 30.0 24.7 111.3
## 6 26.9 28.4 24.2 1.9## TemperatureCAvg TemperatureCMax TemperatureCMin Precmm
## 0 0 0 0# Libraries
library(dygraphs)
library(xts) # To make the convertion data-frame / xts format
# Format 3: Several variables for each date
n <- length(seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7))
data <- data.frame(
time = seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7),
value1 = hasil2$Precmm[1:n],
value2 = bppmean$Precmm[1:n]
)
# Then you can create the xts format:
don=xts( x=data[,-1], order.by=data$time)
# Chart
p <- dygraph(don) %>%
dyAxis("y", label = "Precipitation (mm)") %>%
dySeries("value1", label = "KNN", color = "red") %>%
dySeries("value2", label = "Mean bulanan", color = "black")
pmaeknn1 <- mae_imputation(bppp, hasil2, missing_maskk)
mseknn1 <- mse_imputation(bppp, hasil2, missing_maskk)
rmseknn1 <- rmse_imputation(bppp, hasil2, missing_maskk)
mapeknn1 <- mape_imputation(bppp, hasil2, missing_maskk)
maeknn1## [1] 6.137471## [1] 1910.181## [1] 43.70562## [1] NaNMetode Expectation-Maximization (EM)
## Warning: package 'missMethods' was built under R version 4.3.3## This package has some major limitations
## (for example, it does not work reliably when
## the number of variables exceeds 30),
## and has been superseded by the norm2 package.# Libraries
library(dygraphs)
library(xts) # To make the convertion data-frame / xts format
# Format 3: Several variables for each date
n <- length(seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7))
data <- data.frame(
time = seq(from = as.Date("2020-08-01"), to = as.Date("2024-08-31"), by = 7),
value1 = ds_imp$Precmm[1:n],
value2 = bppmean$Precmm[1:n]
)
# Then you can create the xts format:
don=xts( x=data[,-1], order.by=data$time)
# Chart
p <- dygraph(don) %>%
dyAxis("y", label = "Precipitation (mm)") %>%
dySeries("value1", label = "Expectation Maximization", color = "red") %>%
dySeries("value2", label = "Mean bulanan", color = "black")
pmaeknn1 <- mae_imputation(bppp, ds_imp, missing_maskk)
mseknn1 <- mse_imputation(bppp, ds_imp, missing_maskk)
rmseknn1 <- rmse_imputation(bppp, ds_imp, missing_maskk)
mapeknn1 <- mape_imputation(bppp, ds_imp, missing_maskk)
maeknn1## [1] 10.03777## [1] 1912.004## [1] 43.72647## [1] Inf