library(censusapi)
##
## Attaching package: 'censusapi'
## The following object is masked from 'package:methods':
##
## getFunction
library(readr)
library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
## ✓ ggplot2 3.3.5 ✓ dplyr 1.0.7
## ✓ tibble 3.1.2 ✓ stringr 1.4.0
## ✓ tidyr 1.1.3 ✓ forcats 0.5.1
## ✓ purrr 0.3.4
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
library(tidycensus)
library(igraph)
##
## Attaching package: 'igraph'
## The following objects are masked from 'package:dplyr':
##
## as_data_frame, groups, union
## The following objects are masked from 'package:purrr':
##
## compose, simplify
## The following object is masked from 'package:tidyr':
##
## crossing
## The following object is masked from 'package:tibble':
##
## as_data_frame
## The following objects are masked from 'package:stats':
##
## decompose, spectrum
## The following object is masked from 'package:base':
##
## union
library(knitr)
library(corrplot)
## corrplot 0.90 loaded
library(corrgram)
library(rgdal)
## Loading required package: sp
## rgdal: version: 1.5-23, (SVN revision 1121)
## Geospatial Data Abstraction Library extensions to R successfully loaded
## Loaded GDAL runtime: GDAL 3.0.4, released 2020/01/28
## Path to GDAL shared files: /usr/share/gdal
## GDAL binary built with GEOS: TRUE
## Loaded PROJ runtime: Rel. 6.3.1, February 10th, 2020, [PJ_VERSION: 631]
## Path to PROJ shared files: /usr/share/proj
## Linking to sp version:1.4-5
## To mute warnings of possible GDAL/OSR exportToProj4() degradation,
## use options("rgdal_show_exportToProj4_warnings"="none") before loading rgdal.
library(tidyverse)
library(GWmodel)
## Loading required package: maptools
## Checking rgeos availability: TRUE
## Loading required package: robustbase
## Loading required package: Rcpp
## Loading required package: spatialreg
## Loading required package: spData
## To access larger datasets in this package, install the spDataLarge
## package with: `install.packages('spDataLarge',
## repos='https://nowosad.github.io/drat/', type='source')`
## Loading required package: Matrix
##
## Attaching package: 'Matrix'
## The following objects are masked from 'package:tidyr':
##
## expand, pack, unpack
## Welcome to GWmodel version 2.2-6.
library(spdplyr)
library(stplanr)
library(sf)
## Linking to GEOS 3.8.0, GDAL 3.0.4, PROJ 6.3.1
library(ggplot2)
library(leaflet)
library(SpatialPosition)
## Functions related to Stewart's potential are deprecated.
## Please use the `potential` package instead.
## https://riatelab.github.io/potential/
library(DescTools)
## Registered S3 method overwritten by 'DescTools':
## method from
## reorder.factor gdata
##
## Attaching package: 'DescTools'
## The following object is masked from 'package:igraph':
##
## %c%
library(tmap)
require(gridExtra)
## Loading required package: gridExtra
##
## Attaching package: 'gridExtra'
## The following object is masked from 'package:dplyr':
##
## combine
library(grid)
Sys.setenv(CENSUS_KEY= '5dc3854fc03ae75783dcbdbe2a9db1509f250cbf')
census_api_key("5dc3854fc03ae75783dcbdbe2a9db1509f250cbf")
## To install your API key for use in future sessions, run this function with `install = TRUE`.
flows <- getCensus(
name = "acs/flows",
vintage= 2016,
vars= c("MOVEDIN", "MOVEDOUT", "FULL1_NAME", "FULL2_NAME", "GEOID2"),
region = "county:*",
regionin = "state:*"
)
flows$state <- as.numeric(flows$state)
flows$MOVEDIN <- as.numeric(flows$MOVEDIN)
flows$MOVEDOUT <- as.numeric(flows$MOVEDOUT)
#Getting rid of geographies that are not in the USA or not at appropriate scale
flows_USA <- flows %>% drop_na(GEOID2) %>% filter(GEOID2<57000) %>% filter(state<57)
flows_split <- flows_USA %>%
separate(FULL1_NAME, c("County_origin", "State_origin"), sep= ", ")
flows_split <- flows_split %>%
separate(FULL2_NAME, c("County_destination", "State_destination"), sep= ", ")
flows_split <- flows_split %>% filter(State_origin != State_destination)
grouped_flows <- flows_split %>%
group_by(State_origin, State_destination)%>%
summarise(MOVEDIN = sum(MOVEDIN), MOVEDOUT = sum(MOVEDOUT))
## `summarise()` has grouped output by 'State_origin'. You can override using the `.groups` argument.
grouped_flows_df <- as.data.frame(grouped_flows)
ben <- read.csv("Second_Wave.csv")
#hi<- ben %>% filter(start == "2020-07-04")
hi<- ben
keeps <- c("Source","Target", "Weight")
df = hi[keeps]
hi
## X Source Target Weight
## 1 0 Alabama Alabama 0
## 2 1 Alaska Alabama 1
## 3 2 Arizona Alabama 0
## 4 3 Arkansas Alabama 0
## 5 4 California Alabama 0
## 6 5 Colorado Alabama 1
## 7 6 Connecticut Alabama 0
## 8 7 Delaware Alabama 0
## 9 8 District of Columbia Alabama 1
## 10 9 Florida Alabama 0
## 11 10 Georgia Alabama 1
## 12 11 Hawaii Alabama 0
## 13 12 Idaho Alabama 0
## 14 13 Illinois Alabama 0
## 15 14 Indiana Alabama 0
## 16 15 Iowa Alabama 1
## 17 16 Kansas Alabama 0
## 18 17 Kentucky Alabama 0
## 19 18 Louisiana Alabama 0
## 20 19 Maine Alabama 0
## 21 20 Maryland Alabama 0
## 22 21 Massachusetts Alabama 0
## 23 22 Michigan Alabama 0
## 24 23 Minnesota Alabama 0
## 25 24 Mississippi Alabama 0
## 26 25 Missouri Alabama 0
## 27 26 Montana Alabama 0
## 28 27 Nebraska Alabama 1
## 29 28 Nevada Alabama 0
## 30 29 New Hampshire Alabama 0
## 31 30 New Jersey Alabama 0
## 32 31 New Mexico Alabama 0
## 33 32 New York Alabama 0
## 34 33 North Carolina Alabama 1
## 35 34 North Dakota Alabama 1
## 36 35 Ohio Alabama 0
## 37 36 Oklahoma Alabama 1
## 38 37 Oregon Alabama 1
## 39 38 Pennsylvania Alabama 0
## 40 39 Rhode Island Alabama 0
## 41 40 South Carolina Alabama 1
## 42 41 South Dakota Alabama 0
## 43 42 Tennessee Alabama 0
## 44 43 Texas Alabama 1
## 45 44 Utah Alabama 0
## 46 45 Vermont Alabama 0
## 47 46 Virginia Alabama 0
## 48 47 Washington Alabama 1
## 49 48 West Virginia Alabama 0
## 50 49 Wisconsin Alabama 0
## 51 50 Wyoming Alabama 0
## 52 51 Alabama Alaska 1
## 53 52 Alaska Alaska 0
## 54 53 Arizona Alaska 1
## 55 54 Arkansas Alaska 1
## 56 55 California Alaska 1
## 57 56 Colorado Alaska 1
## 58 57 Connecticut Alaska 1
## 59 58 Delaware Alaska 0
## 60 59 District of Columbia Alaska 1
## 61 60 Florida Alaska 1
## 62 61 Georgia Alaska 1
## 63 62 Hawaii Alaska 1
## 64 63 Idaho Alaska 1
## 65 64 Illinois Alaska 1
## 66 65 Indiana Alaska 1
## 67 66 Iowa Alaska 1
## 68 67 Kansas Alaska 1
## 69 68 Kentucky Alaska 1
## 70 69 Louisiana Alaska 0
## 71 70 Maine Alaska 1
## 72 71 Maryland Alaska 0
## 73 72 Massachusetts Alaska 0
## 74 73 Michigan Alaska 0
## 75 74 Minnesota Alaska 1
## 76 75 Mississippi Alaska 1
## 77 76 Missouri Alaska 1
## 78 77 Montana Alaska 1
## 79 78 Nebraska Alaska 1
## 80 79 Nevada Alaska 0
## 81 80 New Hampshire Alaska 1
## 82 81 New Jersey Alaska 1
## 83 82 New Mexico Alaska 1
## 84 83 New York Alaska 1
## 85 84 North Carolina Alaska 1
## 86 85 North Dakota Alaska 0
## 87 86 Ohio Alaska 1
## 88 87 Oklahoma Alaska 0
## 89 88 Oregon Alaska 1
## 90 89 Pennsylvania Alaska 0
## 91 90 Rhode Island Alaska 1
## 92 91 South Carolina Alaska 0
## 93 92 South Dakota Alaska 1
## 94 93 Tennessee Alaska 1
## 95 94 Texas Alaska 0
## 96 95 Utah Alaska 1
## 97 96 Vermont Alaska 1
## 98 97 Virginia Alaska 0
## 99 98 Washington Alaska 1
## 100 99 West Virginia Alaska 0
## 101 100 Wisconsin Alaska 1
## 102 101 Wyoming Alaska 1
## 103 102 Alabama Arizona 0
## 104 103 Alaska Arizona 0
## 105 104 Arizona Arizona 0
## 106 105 Arkansas Arizona 1
## 107 106 California Arizona 1
## 108 107 Colorado Arizona 0
## 109 108 Connecticut Arizona 0
## 110 109 Delaware Arizona 0
## 111 110 District of Columbia Arizona 0
## 112 111 Florida Arizona 0
## 113 112 Georgia Arizona 1
## 114 113 Hawaii Arizona 0
## 115 114 Idaho Arizona 1
## 116 115 Illinois Arizona 0
## 117 116 Indiana Arizona 0
## 118 117 Iowa Arizona 0
## 119 118 Kansas Arizona 0
## 120 119 Kentucky Arizona 1
## 121 120 Louisiana Arizona 0
## 122 121 Maine Arizona 0
## 123 122 Maryland Arizona 0
## 124 123 Massachusetts Arizona 0
## 125 124 Michigan Arizona 1
## 126 125 Minnesota Arizona 0
## 127 126 Mississippi Arizona 0
## 128 127 Missouri Arizona 1
## 129 128 Montana Arizona 1
## 130 129 Nebraska Arizona 0
## 131 130 Nevada Arizona 1
## 132 131 New Hampshire Arizona 0
## 133 132 New Jersey Arizona 1
## 134 133 New Mexico Arizona 0
## 135 134 New York Arizona 1
## 136 135 North Carolina Arizona 1
## 137 136 North Dakota Arizona 1
## 138 137 Ohio Arizona 0
## 139 138 Oklahoma Arizona 0
## 140 139 Oregon Arizona 1
## 141 140 Pennsylvania Arizona 1
## 142 141 Rhode Island Arizona 0
## 143 142 South Carolina Arizona 1
## 144 143 South Dakota Arizona 1
## 145 144 Tennessee Arizona 1
## 146 145 Texas Arizona 1
## 147 146 Utah Arizona 0
## 148 147 Vermont Arizona 0
## 149 148 Virginia Arizona 1
## 150 149 Washington Arizona 1
## 151 150 West Virginia Arizona 0
## 152 151 Wisconsin Arizona 1
## 153 152 Wyoming Arizona 0
## 154 153 Alabama Arkansas 0
## 155 154 Alaska Arkansas 1
## 156 155 Arizona Arkansas 1
## 157 156 Arkansas Arkansas 0
## 158 157 California Arkansas 1
## 159 158 Colorado Arkansas 0
## 160 159 Connecticut Arkansas 1
## 161 160 Delaware Arkansas 1
## 162 161 District of Columbia Arkansas 1
## 163 162 Florida Arkansas 1
## 164 163 Georgia Arkansas 0
## 165 164 Hawaii Arkansas 1
## 166 165 Idaho Arkansas 0
## 167 166 Illinois Arkansas 1
## 168 167 Indiana Arkansas 0
## 169 168 Iowa Arkansas 0
## 170 169 Kansas Arkansas 0
## 171 170 Kentucky Arkansas 0
## 172 171 Louisiana Arkansas 0
## 173 172 Maine Arkansas 0
## 174 173 Maryland Arkansas 0
## 175 174 Massachusetts Arkansas 0
## 176 175 Michigan Arkansas 0
## 177 176 Minnesota Arkansas 0
## 178 177 Mississippi Arkansas 1
## 179 178 Missouri Arkansas 0
## 180 179 Montana Arkansas 0
## 181 180 Nebraska Arkansas 0
## 182 181 Nevada Arkansas 0
## 183 182 New Hampshire Arkansas 0
## 184 183 New Jersey Arkansas 0
## 185 184 New Mexico Arkansas 0
## 186 185 New York Arkansas 0
## 187 186 North Carolina Arkansas 1
## 188 187 North Dakota Arkansas 0
## 189 188 Ohio Arkansas 0
## 190 189 Oklahoma Arkansas 0
## 191 190 Oregon Arkansas 1
## 192 191 Pennsylvania Arkansas 0
## 193 192 Rhode Island Arkansas 1
## 194 193 South Carolina Arkansas 0
## 195 194 South Dakota Arkansas 0
## 196 195 Tennessee Arkansas 0
## 197 196 Texas Arkansas 1
## 198 197 Utah Arkansas 1
## 199 198 Vermont Arkansas 0
## 200 199 Virginia Arkansas 1
## 201 200 Washington Arkansas 1
## 202 201 West Virginia Arkansas 0
## 203 202 Wisconsin Arkansas 0
## 204 203 Wyoming Arkansas 0
## 205 204 Alabama California 0
## 206 205 Alaska California 1
## 207 206 Arizona California 0
## 208 207 Arkansas California 1
## 209 208 California California 0
## 210 209 Colorado California 1
## 211 210 Connecticut California 0
## 212 211 Delaware California 0
## 213 212 District of Columbia California 1
## 214 213 Florida California 0
## 215 214 Georgia California 1
## 216 215 Hawaii California 1
## 217 216 Idaho California 0
## 218 217 Illinois California 0
## 219 218 Indiana California 1
## 220 219 Iowa California 1
## 221 220 Kansas California 1
## 222 221 Kentucky California 0
## 223 222 Louisiana California 0
## 224 223 Maine California 0
## 225 224 Maryland California 0
## 226 225 Massachusetts California 0
## 227 226 Michigan California 0
## 228 227 Minnesota California 0
## 229 228 Mississippi California 0
## 230 229 Missouri California 0
## 231 230 Montana California 0
## 232 231 Nebraska California 1
## 233 232 Nevada California 0
## 234 233 New Hampshire California 0
## 235 234 New Jersey California 0
## 236 235 New Mexico California 1
## 237 236 New York California 0
## 238 237 North Carolina California 0
## 239 238 North Dakota California 1
## 240 239 Ohio California 1
## 241 240 Oklahoma California 1
## 242 241 Oregon California 1
## 243 242 Pennsylvania California 1
## 244 243 Rhode Island California 0
## 245 244 South Carolina California 0
## 246 245 South Dakota California 0
## 247 246 Tennessee California 1
## 248 247 Texas California 0
## 249 248 Utah California 1
## 250 249 Vermont California 0
## 251 250 Virginia California 1
## 252 251 Washington California 1
## 253 252 West Virginia California 1
## 254 253 Wisconsin California 1
## 255 254 Wyoming California 0
## 256 255 Alabama Colorado 0
## 257 256 Alaska Colorado 1
## 258 257 Arizona Colorado 1
## 259 258 Arkansas Colorado 0
## 260 259 California Colorado 0
## 261 260 Colorado Colorado 0
## 262 261 Connecticut Colorado 1
## 263 262 Delaware Colorado 1
## 264 263 District of Columbia Colorado 1
## 265 264 Florida Colorado 1
## 266 265 Georgia Colorado 0
## 267 266 Hawaii Colorado 1
## 268 267 Idaho Colorado 0
## 269 268 Illinois Colorado 1
## 270 269 Indiana Colorado 0
## 271 270 Iowa Colorado 0
## 272 271 Kansas Colorado 1
## 273 272 Kentucky Colorado 0
## 274 273 Louisiana Colorado 0
## 275 274 Maine Colorado 1
## 276 275 Maryland Colorado 0
## 277 276 Massachusetts Colorado 1
## 278 277 Michigan Colorado 0
## 279 278 Minnesota Colorado 1
## 280 279 Mississippi Colorado 1
## 281 280 Missouri Colorado 1
## 282 281 Montana Colorado 0
## 283 282 Nebraska Colorado 0
## 284 283 Nevada Colorado 0
## 285 284 New Hampshire Colorado 1
## 286 285 New Jersey Colorado 1
## 287 286 New Mexico Colorado 0
## 288 287 New York Colorado 0
## 289 288 North Carolina Colorado 0
## 290 289 North Dakota Colorado 0
## 291 290 Ohio Colorado 0
## 292 291 Oklahoma Colorado 0
## 293 292 Oregon Colorado 1
## 294 293 Pennsylvania Colorado 0
## 295 294 Rhode Island Colorado 1
## 296 295 South Carolina Colorado 0
## 297 296 South Dakota Colorado 0
## 298 297 Tennessee Colorado 0
## 299 298 Texas Colorado 0
## 300 299 Utah Colorado 0
## 301 300 Vermont Colorado 1
## 302 301 Virginia Colorado 0
## 303 302 Washington Colorado 1
## 304 303 West Virginia Colorado 0
## 305 304 Wisconsin Colorado 1
## 306 305 Wyoming Colorado 0
## 307 306 Alabama Connecticut 0
## 308 307 Alaska Connecticut 1
## 309 308 Arizona Connecticut 1
## 310 309 Arkansas Connecticut 0
## 311 310 California Connecticut 0
## 312 311 Colorado Connecticut 0
## 313 312 Connecticut Connecticut 0
## 314 313 Delaware Connecticut 0
## 315 314 District of Columbia Connecticut 0
## 316 315 Florida Connecticut 1
## 317 316 Georgia Connecticut 0
## 318 317 Hawaii Connecticut 1
## 319 318 Idaho Connecticut 0
## 320 319 Illinois Connecticut 0
## 321 320 Indiana Connecticut 0
## 322 321 Iowa Connecticut 1
## 323 322 Kansas Connecticut 1
## 324 323 Kentucky Connecticut 0
## 325 324 Louisiana Connecticut 0
## 326 325 Maine Connecticut 0
## 327 326 Maryland Connecticut 1
## 328 327 Massachusetts Connecticut 0
## 329 328 Michigan Connecticut 0
## 330 329 Minnesota Connecticut 1
## 331 330 Mississippi Connecticut 0
## 332 331 Missouri Connecticut 0
## 333 332 Montana Connecticut 0
## 334 333 Nebraska Connecticut 1
## 335 334 Nevada Connecticut 0
## 336 335 New Hampshire Connecticut 1
## 337 336 New Jersey Connecticut 1
## 338 337 New Mexico Connecticut 0
## 339 338 New York Connecticut 1
## 340 339 North Carolina Connecticut 1
## 341 340 North Dakota Connecticut 1
## 342 341 Ohio Connecticut 1
## 343 342 Oklahoma Connecticut 1
## 344 343 Oregon Connecticut 1
## 345 344 Pennsylvania Connecticut 0
## 346 345 Rhode Island Connecticut 0
## 347 346 South Carolina Connecticut 1
## 348 347 South Dakota Connecticut 1
## 349 348 Tennessee Connecticut 1
## 350 349 Texas Connecticut 1
## 351 350 Utah Connecticut 0
## 352 351 Vermont Connecticut 1
## 353 352 Virginia Connecticut 1
## 354 353 Washington Connecticut 1
## 355 354 West Virginia Connecticut 1
## 356 355 Wisconsin Connecticut 0
## 357 356 Wyoming Connecticut 1
## 358 357 Alabama Delaware 0
## 359 358 Alaska Delaware 0
## 360 359 Arizona Delaware 0
## 361 360 Arkansas Delaware 0
## 362 361 California Delaware 0
## 363 362 Colorado Delaware 0
## 364 363 Connecticut Delaware 0
## 365 364 Delaware Delaware 0
## 366 365 District of Columbia Delaware 0
## 367 366 Florida Delaware 0
## 368 367 Georgia Delaware 0
## 369 368 Hawaii Delaware 0
## 370 369 Idaho Delaware 0
## 371 370 Illinois Delaware 0
## 372 371 Indiana Delaware 0
## 373 372 Iowa Delaware 1
## 374 373 Kansas Delaware 0
## 375 374 Kentucky Delaware 0
## 376 375 Louisiana Delaware 0
## 377 376 Maine Delaware 0
## 378 377 Maryland Delaware 0
## 379 378 Massachusetts Delaware 0
## 380 379 Michigan Delaware 0
## 381 380 Minnesota Delaware 0
## 382 381 Mississippi Delaware 0
## 383 382 Missouri Delaware 0
## 384 383 Montana Delaware 0
## 385 384 Nebraska Delaware 0
## 386 385 Nevada Delaware 0
## 387 386 New Hampshire Delaware 0
## 388 387 New Jersey Delaware 0
## 389 388 New Mexico Delaware 1
## 390 389 New York Delaware 1
## 391 390 North Carolina Delaware 1
## 392 391 North Dakota Delaware 1
## 393 392 Ohio Delaware 0
## 394 393 Oklahoma Delaware 0
## 395 394 Oregon Delaware 0
## 396 395 Pennsylvania Delaware 1
## 397 396 Rhode Island Delaware 1
## 398 397 South Carolina Delaware 0
## 399 398 South Dakota Delaware 0
## 400 399 Tennessee Delaware 1
## 401 400 Texas Delaware 0
## 402 401 Utah Delaware 0
## 403 402 Vermont Delaware 0
## 404 403 Virginia Delaware 1
## 405 404 Washington Delaware 0
## 406 405 West Virginia Delaware 0
## 407 406 Wisconsin Delaware 1
## 408 407 Wyoming Delaware 0
## 409 408 Alabama District of Columbia 1
## 410 409 Alaska District of Columbia 0
## 411 410 Arizona District of Columbia 1
## 412 411 Arkansas District of Columbia 1
## 413 412 California District of Columbia 1
## 414 413 Colorado District of Columbia 0
## 415 414 Connecticut District of Columbia 1
## 416 415 Delaware District of Columbia 1
## 417 416 District of Columbia District of Columbia 0
## 418 417 Florida District of Columbia 1
## 419 418 Georgia District of Columbia 0
## 420 419 Hawaii District of Columbia 1
## 421 420 Idaho District of Columbia 1
## 422 421 Illinois District of Columbia 1
## 423 422 Indiana District of Columbia 1
## 424 423 Iowa District of Columbia 1
## 425 424 Kansas District of Columbia 1
## 426 425 Kentucky District of Columbia 1
## 427 426 Louisiana District of Columbia 1
## 428 427 Maine District of Columbia 1
## 429 428 Maryland District of Columbia 1
## 430 429 Massachusetts District of Columbia 0
## 431 430 Michigan District of Columbia 1
## 432 431 Minnesota District of Columbia 1
## 433 432 Mississippi District of Columbia 1
## 434 433 Missouri District of Columbia 1
## 435 434 Montana District of Columbia 1
## 436 435 Nebraska District of Columbia 0
## 437 436 Nevada District of Columbia 1
## 438 437 New Hampshire District of Columbia 1
## 439 438 New Jersey District of Columbia 1
## 440 439 New Mexico District of Columbia 1
## 441 440 New York District of Columbia 1
## 442 441 North Carolina District of Columbia 1
## 443 442 North Dakota District of Columbia 1
## 444 443 Ohio District of Columbia 1
## 445 444 Oklahoma District of Columbia 1
## 446 445 Oregon District of Columbia 1
## 447 446 Pennsylvania District of Columbia 1
## 448 447 Rhode Island District of Columbia 0
## 449 448 South Carolina District of Columbia 1
## 450 449 South Dakota District of Columbia 1
## 451 450 Tennessee District of Columbia 1
## 452 451 Texas District of Columbia 1
## 453 452 Utah District of Columbia 1
## 454 453 Vermont District of Columbia 1
## 455 454 Virginia District of Columbia 1
## 456 455 Washington District of Columbia 1
## 457 456 West Virginia District of Columbia 1
## 458 457 Wisconsin District of Columbia 1
## 459 458 Wyoming District of Columbia 1
## 460 459 Alabama Florida 0
## 461 460 Alaska Florida 0
## 462 461 Arizona Florida 0
## 463 462 Arkansas Florida 1
## 464 463 California Florida 0
## 465 464 Colorado Florida 1
## 466 465 Connecticut Florida 1
## 467 466 Delaware Florida 0
## 468 467 District of Columbia Florida 1
## 469 468 Florida Florida 0
## 470 469 Georgia Florida 0
## 471 470 Hawaii Florida 0
## 472 471 Idaho Florida 1
## 473 472 Illinois Florida 1
## 474 473 Indiana Florida 1
## 475 474 Iowa Florida 0
## 476 475 Kansas Florida 0
## 477 476 Kentucky Florida 0
## 478 477 Louisiana Florida 0
## 479 478 Maine Florida 1
## 480 479 Maryland Florida 0
## 481 480 Massachusetts Florida 0
## 482 481 Michigan Florida 0
## 483 482 Minnesota Florida 0
## 484 483 Mississippi Florida 0
## 485 484 Missouri Florida 1
## 486 485 Montana Florida 1
## 487 486 Nebraska Florida 1
## 488 487 Nevada Florida 0
## 489 488 New Hampshire Florida 0
## 490 489 New Jersey Florida 1
## 491 490 New Mexico Florida 1
## 492 491 New York Florida 1
## 493 492 North Carolina Florida 0
## 494 493 North Dakota Florida 1
## 495 494 Ohio Florida 1
## 496 495 Oklahoma Florida 1
## 497 496 Oregon Florida 0
## 498 497 Pennsylvania Florida 1
## 499 498 Rhode Island Florida 1
## 500 499 South Carolina Florida 0
## 501 500 South Dakota Florida 0
## 502 501 Tennessee Florida 1
## 503 502 Texas Florida 0
## 504 503 Utah Florida 1
## 505 504 Vermont Florida 0
## 506 505 Virginia Florida 0
## 507 506 Washington Florida 0
## 508 507 West Virginia Florida 0
## 509 508 Wisconsin Florida 1
## 510 509 Wyoming Florida 1
## 511 510 Alabama Georgia 1
## 512 511 Alaska Georgia 1
## 513 512 Arizona Georgia 1
## 514 513 Arkansas Georgia 0
## 515 514 California Georgia 0
## 516 515 Colorado Georgia 0
## 517 516 Connecticut Georgia 0
## 518 517 Delaware Georgia 0
## 519 518 District of Columbia Georgia 1
## 520 519 Florida Georgia 0
## 521 520 Georgia Georgia 0
## 522 521 Hawaii Georgia 1
## 523 522 Idaho Georgia 0
## 524 523 Illinois Georgia 0
## 525 524 Indiana Georgia 0
## 526 525 Iowa Georgia 0
## 527 526 Kansas Georgia 0
## 528 527 Kentucky Georgia 0
## 529 528 Louisiana Georgia 0
## 530 529 Maine Georgia 0
## 531 530 Maryland Georgia 0
## 532 531 Massachusetts Georgia 0
## 533 532 Michigan Georgia 0
## 534 533 Minnesota Georgia 0
## 535 534 Mississippi Georgia 1
## 536 535 Missouri Georgia 0
## 537 536 Montana Georgia 0
## 538 537 Nebraska Georgia 0
## 539 538 Nevada Georgia 0
## 540 539 New Hampshire Georgia 0
## 541 540 New Jersey Georgia 0
## 542 541 New Mexico Georgia 0
## 543 542 New York Georgia 0
## 544 543 North Carolina Georgia 1
## 545 544 North Dakota Georgia 0
## 546 545 Ohio Georgia 0
## 547 546 Oklahoma Georgia 0
## 548 547 Oregon Georgia 1
## 549 548 Pennsylvania Georgia 0
## 550 549 Rhode Island Georgia 1
## 551 550 South Carolina Georgia 1
## 552 551 South Dakota Georgia 0
## 553 552 Tennessee Georgia 0
## 554 553 Texas Georgia 1
## 555 554 Utah Georgia 0
## 556 555 Vermont Georgia 0
## 557 556 Virginia Georgia 0
## 558 557 Washington Georgia 1
## 559 558 West Virginia Georgia 0
## 560 559 Wisconsin Georgia 0
## 561 560 Wyoming Georgia 0
## 562 561 Alabama Hawaii 0
## 563 562 Alaska Hawaii 0
## 564 563 Arizona Hawaii 0
## 565 564 Arkansas Hawaii 1
## 566 565 California Hawaii 1
## 567 566 Colorado Hawaii 1
## 568 567 Connecticut Hawaii 0
## 569 568 Delaware Hawaii 0
## 570 569 District of Columbia Hawaii 1
## 571 570 Florida Hawaii 0
## 572 571 Georgia Hawaii 1
## 573 572 Hawaii Hawaii 0
## 574 573 Idaho Hawaii 1
## 575 574 Illinois Hawaii 0
## 576 575 Indiana Hawaii 1
## 577 576 Iowa Hawaii 1
## 578 577 Kansas Hawaii 1
## 579 578 Kentucky Hawaii 1
## 580 579 Louisiana Hawaii 0
## 581 580 Maine Hawaii 0
## 582 581 Maryland Hawaii 0
## 583 582 Massachusetts Hawaii 0
## 584 583 Michigan Hawaii 0
## 585 584 Minnesota Hawaii 0
## 586 585 Mississippi Hawaii 1
## 587 586 Missouri Hawaii 1
## 588 587 Montana Hawaii 1
## 589 588 Nebraska Hawaii 1
## 590 589 Nevada Hawaii 1
## 591 590 New Hampshire Hawaii 0
## 592 591 New Jersey Hawaii 1
## 593 592 New Mexico Hawaii 1
## 594 593 New York Hawaii 0
## 595 594 North Carolina Hawaii 1
## 596 595 North Dakota Hawaii 0
## 597 596 Ohio Hawaii 1
## 598 597 Oklahoma Hawaii 1
## 599 598 Oregon Hawaii 0
## 600 599 Pennsylvania Hawaii 1
## 601 600 Rhode Island Hawaii 0
## 602 601 South Carolina Hawaii 1
## 603 602 South Dakota Hawaii 1
## 604 603 Tennessee Hawaii 1
## 605 604 Texas Hawaii 1
## 606 605 Utah Hawaii 1
## 607 606 Vermont Hawaii 0
## 608 607 Virginia Hawaii 1
## 609 608 Washington Hawaii 0
## 610 609 West Virginia Hawaii 0
## 611 610 Wisconsin Hawaii 1
## 612 611 Wyoming Hawaii 1
## 613 612 Alabama Idaho 0
## 614 613 Alaska Idaho 1
## 615 614 Arizona Idaho 1
## 616 615 Arkansas Idaho 0
## 617 616 California Idaho 0
## 618 617 Colorado Idaho 0
## 619 618 Connecticut Idaho 0
## 620 619 Delaware Idaho 0
## 621 620 District of Columbia Idaho 1
## 622 621 Florida Idaho 1
## 623 622 Georgia Idaho 0
## 624 623 Hawaii Idaho 1
## 625 624 Idaho Idaho 0
## 626 625 Illinois Idaho 0
## 627 626 Indiana Idaho 0
## 628 627 Iowa Idaho 0
## 629 628 Kansas Idaho 0
## 630 629 Kentucky Idaho 0
## 631 630 Louisiana Idaho 0
## 632 631 Maine Idaho 0
## 633 632 Maryland Idaho 0
## 634 633 Massachusetts Idaho 0
## 635 634 Michigan Idaho 0
## 636 635 Minnesota Idaho 0
## 637 636 Mississippi Idaho 0
## 638 637 Missouri Idaho 0
## 639 638 Montana Idaho 0
## 640 639 Nebraska Idaho 0
## 641 640 Nevada Idaho 0
## 642 641 New Hampshire Idaho 0
## 643 642 New Jersey Idaho 0
## 644 643 New Mexico Idaho 0
## 645 644 New York Idaho 0
## 646 645 North Carolina Idaho 0
## 647 646 North Dakota Idaho 0
## 648 647 Ohio Idaho 0
## 649 648 Oklahoma Idaho 0
## 650 649 Oregon Idaho 0
## 651 650 Pennsylvania Idaho 0
## 652 651 Rhode Island Idaho 0
## 653 652 South Carolina Idaho 1
## 654 653 South Dakota Idaho 0
## 655 654 Tennessee Idaho 0
## 656 655 Texas Idaho 1
## 657 656 Utah Idaho 0
## 658 657 Vermont Idaho 0
## 659 658 Virginia Idaho 0
## 660 659 Washington Idaho 1
## 661 660 West Virginia Idaho 0
## 662 661 Wisconsin Idaho 0
## 663 662 Wyoming Idaho 0
## 664 663 Alabama Illinois 0
## 665 664 Alaska Illinois 1
## 666 665 Arizona Illinois 1
## 667 666 Arkansas Illinois 1
## 668 667 California Illinois 0
## 669 668 Colorado Illinois 1
## 670 669 Connecticut Illinois 0
## 671 670 Delaware Illinois 0
## 672 671 District of Columbia Illinois 1
## 673 672 Florida Illinois 1
## 674 673 Georgia Illinois 1
## 675 674 Hawaii Illinois 1
## 676 675 Idaho Illinois 0
## 677 676 Illinois Illinois 0
## 678 677 Indiana Illinois 0
## 679 678 Iowa Illinois 1
## 680 679 Kansas Illinois 1
## 681 680 Kentucky Illinois 0
## 682 681 Louisiana Illinois 0
## 683 682 Maine Illinois 0
## 684 683 Maryland Illinois 0
## 685 684 Massachusetts Illinois 0
## 686 685 Michigan Illinois 1
## 687 686 Minnesota Illinois 1
## 688 687 Mississippi Illinois 0
## 689 688 Missouri Illinois 1
## 690 689 Montana Illinois 0
## 691 690 Nebraska Illinois 1
## 692 691 Nevada Illinois 0
## 693 692 New Hampshire Illinois 0
## 694 693 New Jersey Illinois 0
## 695 694 New Mexico Illinois 0
## 696 695 New York Illinois 0
## 697 696 North Carolina Illinois 1
## 698 697 North Dakota Illinois 1
## 699 698 Ohio Illinois 1
## 700 699 Oklahoma Illinois 1
## 701 700 Oregon Illinois 1
## 702 701 Pennsylvania Illinois 0
## 703 702 Rhode Island Illinois 0
## 704 703 South Carolina Illinois 1
## 705 704 South Dakota Illinois 1
## 706 705 Tennessee Illinois 1
## 707 706 Texas Illinois 1
## 708 707 Utah Illinois 1
## 709 708 Vermont Illinois 0
## 710 709 Virginia Illinois 0
## 711 710 Washington Illinois 1
## 712 711 West Virginia Illinois 0
## 713 712 Wisconsin Illinois 0
## 714 713 Wyoming Illinois 0
## 715 714 Alabama Indiana 0
## 716 715 Alaska Indiana 1
## 717 716 Arizona Indiana 0
## 718 717 Arkansas Indiana 0
## 719 718 California Indiana 1
## 720 719 Colorado Indiana 0
## 721 720 Connecticut Indiana 0
## 722 721 Delaware Indiana 1
## 723 722 District of Columbia Indiana 1
## 724 723 Florida Indiana 1
## 725 724 Georgia Indiana 0
## 726 725 Hawaii Indiana 1
## 727 726 Idaho Indiana 0
## 728 727 Illinois Indiana 0
## 729 728 Indiana Indiana 0
## 730 729 Iowa Indiana 0
## 731 730 Kansas Indiana 1
## 732 731 Kentucky Indiana 0
## 733 732 Louisiana Indiana 0
## 734 733 Maine Indiana 0
## 735 734 Maryland Indiana 0
## 736 735 Massachusetts Indiana 0
## 737 736 Michigan Indiana 0
## 738 737 Minnesota Indiana 0
## 739 738 Mississippi Indiana 0
## 740 739 Missouri Indiana 0
## 741 740 Montana Indiana 0
## 742 741 Nebraska Indiana 0
## 743 742 Nevada Indiana 0
## 744 743 New Hampshire Indiana 0
## 745 744 New Jersey Indiana 0
## 746 745 New Mexico Indiana 0
## 747 746 New York Indiana 0
## 748 747 North Carolina Indiana 1
## 749 748 North Dakota Indiana 0
## 750 749 Ohio Indiana 1
## 751 750 Oklahoma Indiana 0
## 752 751 Oregon Indiana 1
## 753 752 Pennsylvania Indiana 0
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## 2338 2337 Tennessee Vermont 1
## 2339 2338 Texas Vermont 0
## 2340 2339 Utah Vermont 0
## 2341 2340 Vermont Vermont 0
## 2342 2341 Virginia Vermont 1
## 2343 2342 Washington Vermont 0
## 2344 2343 West Virginia Vermont 0
## 2345 2344 Wisconsin Vermont 1
## 2346 2345 Wyoming Vermont 0
## 2347 2346 Alabama Virginia 0
## 2348 2347 Alaska Virginia 0
## 2349 2348 Arizona Virginia 1
## 2350 2349 Arkansas Virginia 0
## 2351 2350 California Virginia 0
## 2352 2351 Colorado Virginia 0
## 2353 2352 Connecticut Virginia 1
## 2354 2353 Delaware Virginia 1
## 2355 2354 District of Columbia Virginia 1
## 2356 2355 Florida Virginia 0
## 2357 2356 Georgia Virginia 0
## 2358 2357 Hawaii Virginia 1
## 2359 2358 Idaho Virginia 0
## 2360 2359 Illinois Virginia 0
## 2361 2360 Indiana Virginia 1
## 2362 2361 Iowa Virginia 1
## 2363 2362 Kansas Virginia 0
## 2364 2363 Kentucky Virginia 0
## 2365 2364 Louisiana Virginia 0
## 2366 2365 Maine Virginia 0
## 2367 2366 Maryland Virginia 1
## 2368 2367 Massachusetts Virginia 0
## 2369 2368 Michigan Virginia 0
## 2370 2369 Minnesota Virginia 0
## 2371 2370 Mississippi Virginia 0
## 2372 2371 Missouri Virginia 0
## 2373 2372 Montana Virginia 0
## 2374 2373 Nebraska Virginia 0
## 2375 2374 Nevada Virginia 0
## 2376 2375 New Hampshire Virginia 1
## 2377 2376 New Jersey Virginia 1
## 2378 2377 New Mexico Virginia 0
## 2379 2378 New York Virginia 1
## 2380 2379 North Carolina Virginia 0
## 2381 2380 North Dakota Virginia 0
## 2382 2381 Ohio Virginia 0
## 2383 2382 Oklahoma Virginia 0
## 2384 2383 Oregon Virginia 0
## 2385 2384 Pennsylvania Virginia 0
## 2386 2385 Rhode Island Virginia 1
## 2387 2386 South Carolina Virginia 0
## 2388 2387 South Dakota Virginia 0
## 2389 2388 Tennessee Virginia 0
## 2390 2389 Texas Virginia 0
## 2391 2390 Utah Virginia 0
## 2392 2391 Vermont Virginia 1
## 2393 2392 Virginia Virginia 0
## 2394 2393 Washington Virginia 0
## 2395 2394 West Virginia Virginia 0
## 2396 2395 Wisconsin Virginia 0
## 2397 2396 Wyoming Virginia 0
## 2398 2397 Alabama Washington 1
## 2399 2398 Alaska Washington 1
## 2400 2399 Arizona Washington 1
## 2401 2400 Arkansas Washington 1
## 2402 2401 California Washington 1
## 2403 2402 Colorado Washington 1
## 2404 2403 Connecticut Washington 1
## 2405 2404 Delaware Washington 0
## 2406 2405 District of Columbia Washington 1
## 2407 2406 Florida Washington 0
## 2408 2407 Georgia Washington 1
## 2409 2408 Hawaii Washington 0
## 2410 2409 Idaho Washington 1
## 2411 2410 Illinois Washington 1
## 2412 2411 Indiana Washington 0
## 2413 2412 Iowa Washington 0
## 2414 2413 Kansas Washington 1
## 2415 2414 Kentucky Washington 1
## 2416 2415 Louisiana Washington 0
## 2417 2416 Maine Washington 0
## 2418 2417 Maryland Washington 0
## 2419 2418 Massachusetts Washington 0
## 2420 2419 Michigan Washington 0
## 2421 2420 Minnesota Washington 0
## 2422 2421 Mississippi Washington 0
## 2423 2422 Missouri Washington 1
## 2424 2423 Montana Washington 1
## 2425 2424 Nebraska Washington 1
## 2426 2425 Nevada Washington 1
## 2427 2426 New Hampshire Washington 0
## 2428 2427 New Jersey Washington 1
## 2429 2428 New Mexico Washington 0
## 2430 2429 New York Washington 1
## 2431 2430 North Carolina Washington 0
## 2432 2431 North Dakota Washington 1
## 2433 2432 Ohio Washington 1
## 2434 2433 Oklahoma Washington 1
## 2435 2434 Oregon Washington 0
## 2436 2435 Pennsylvania Washington 1
## 2437 2436 Rhode Island Washington 1
## 2438 2437 South Carolina Washington 0
## 2439 2438 South Dakota Washington 1
## 2440 2439 Tennessee Washington 1
## 2441 2440 Texas Washington 0
## 2442 2441 Utah Washington 0
## 2443 2442 Vermont Washington 0
## 2444 2443 Virginia Washington 1
## 2445 2444 Washington Washington 0
## 2446 2445 West Virginia Washington 0
## 2447 2446 Wisconsin Washington 1
## 2448 2447 Wyoming Washington 1
## 2449 2448 Alabama West Virginia 0
## 2450 2449 Alaska West Virginia 0
## 2451 2450 Arizona West Virginia 1
## 2452 2451 Arkansas West Virginia 0
## 2453 2452 California West Virginia 0
## 2454 2453 Colorado West Virginia 0
## 2455 2454 Connecticut West Virginia 1
## 2456 2455 Delaware West Virginia 0
## 2457 2456 District of Columbia West Virginia 1
## 2458 2457 Florida West Virginia 0
## 2459 2458 Georgia West Virginia 0
## 2460 2459 Hawaii West Virginia 1
## 2461 2460 Idaho West Virginia 0
## 2462 2461 Illinois West Virginia 0
## 2463 2462 Indiana West Virginia 0
## 2464 2463 Iowa West Virginia 1
## 2465 2464 Kansas West Virginia 0
## 2466 2465 Kentucky West Virginia 0
## 2467 2466 Louisiana West Virginia 0
## 2468 2467 Maine West Virginia 0
## 2469 2468 Maryland West Virginia 0
## 2470 2469 Massachusetts West Virginia 0
## 2471 2470 Michigan West Virginia 0
## 2472 2471 Minnesota West Virginia 0
## 2473 2472 Mississippi West Virginia 0
## 2474 2473 Missouri West Virginia 0
## 2475 2474 Montana West Virginia 0
## 2476 2475 Nebraska West Virginia 0
## 2477 2476 Nevada West Virginia 0
## 2478 2477 New Hampshire West Virginia 0
## 2479 2478 New Jersey West Virginia 1
## 2480 2479 New Mexico West Virginia 1
## 2481 2480 New York West Virginia 1
## 2482 2481 North Carolina West Virginia 0
## 2483 2482 North Dakota West Virginia 0
## 2484 2483 Ohio West Virginia 0
## 2485 2484 Oklahoma West Virginia 0
## 2486 2485 Oregon West Virginia 0
## 2487 2486 Pennsylvania West Virginia 1
## 2488 2487 Rhode Island West Virginia 1
## 2489 2488 South Carolina West Virginia 0
## 2490 2489 South Dakota West Virginia 0
## 2491 2490 Tennessee West Virginia 0
## 2492 2491 Texas West Virginia 0
## 2493 2492 Utah West Virginia 0
## 2494 2493 Vermont West Virginia 0
## 2495 2494 Virginia West Virginia 0
## 2496 2495 Washington West Virginia 0
## 2497 2496 West Virginia West Virginia 0
## 2498 2497 Wisconsin West Virginia 0
## 2499 2498 Wyoming West Virginia 0
## 2500 2499 Alabama Wisconsin 0
## 2501 2500 Alaska Wisconsin 1
## 2502 2501 Arizona Wisconsin 1
## 2503 2502 Arkansas Wisconsin 0
## 2504 2503 California Wisconsin 1
## 2505 2504 Colorado Wisconsin 1
## 2506 2505 Connecticut Wisconsin 1
## 2507 2506 Delaware Wisconsin 1
## 2508 2507 District of Columbia Wisconsin 1
## 2509 2508 Florida Wisconsin 1
## 2510 2509 Georgia Wisconsin 0
## 2511 2510 Hawaii Wisconsin 1
## 2512 2511 Idaho Wisconsin 0
## 2513 2512 Illinois Wisconsin 0
## 2514 2513 Indiana Wisconsin 0
## 2515 2514 Iowa Wisconsin 0
## 2516 2515 Kansas Wisconsin 1
## 2517 2516 Kentucky Wisconsin 0
## 2518 2517 Louisiana Wisconsin 0
## 2519 2518 Maine Wisconsin 0
## 2520 2519 Maryland Wisconsin 0
## 2521 2520 Massachusetts Wisconsin 0
## 2522 2521 Michigan Wisconsin 1
## 2523 2522 Minnesota Wisconsin 1
## 2524 2523 Mississippi Wisconsin 0
## 2525 2524 Missouri Wisconsin 1
## 2526 2525 Montana Wisconsin 0
## 2527 2526 Nebraska Wisconsin 0
## 2528 2527 Nevada Wisconsin 0
## 2529 2528 New Hampshire Wisconsin 1
## 2530 2529 New Jersey Wisconsin 0
## 2531 2530 New Mexico Wisconsin 0
## 2532 2531 New York Wisconsin 0
## 2533 2532 North Carolina Wisconsin 1
## 2534 2533 North Dakota Wisconsin 1
## 2535 2534 Ohio Wisconsin 1
## 2536 2535 Oklahoma Wisconsin 0
## 2537 2536 Oregon Wisconsin 1
## 2538 2537 Pennsylvania Wisconsin 0
## 2539 2538 Rhode Island Wisconsin 1
## 2540 2539 South Carolina Wisconsin 1
## 2541 2540 South Dakota Wisconsin 1
## 2542 2541 Tennessee Wisconsin 0
## 2543 2542 Texas Wisconsin 1
## 2544 2543 Utah Wisconsin 0
## 2545 2544 Vermont Wisconsin 1
## 2546 2545 Virginia Wisconsin 1
## 2547 2546 Washington Wisconsin 1
## 2548 2547 West Virginia Wisconsin 0
## 2549 2548 Wisconsin Wisconsin 0
## 2550 2549 Wyoming Wisconsin 0
## 2551 2550 Alabama Wyoming 0
## 2552 2551 Alaska Wyoming 1
## 2553 2552 Arizona Wyoming 1
## 2554 2553 Arkansas Wyoming 0
## 2555 2554 California Wyoming 0
## 2556 2555 Colorado Wyoming 0
## 2557 2556 Connecticut Wyoming 0
## 2558 2557 Delaware Wyoming 0
## 2559 2558 District of Columbia Wyoming 1
## 2560 2559 Florida Wyoming 1
## 2561 2560 Georgia Wyoming 0
## 2562 2561 Hawaii Wyoming 1
## 2563 2562 Idaho Wyoming 0
## 2564 2563 Illinois Wyoming 0
## 2565 2564 Indiana Wyoming 0
## 2566 2565 Iowa Wyoming 0
## 2567 2566 Kansas Wyoming 1
## 2568 2567 Kentucky Wyoming 0
## 2569 2568 Louisiana Wyoming 0
## 2570 2569 Maine Wyoming 0
## 2571 2570 Maryland Wyoming 0
## 2572 2571 Massachusetts Wyoming 0
## 2573 2572 Michigan Wyoming 0
## 2574 2573 Minnesota Wyoming 0
## 2575 2574 Mississippi Wyoming 0
## 2576 2575 Missouri Wyoming 0
## 2577 2576 Montana Wyoming 0
## 2578 2577 Nebraska Wyoming 0
## 2579 2578 Nevada Wyoming 0
## 2580 2579 New Hampshire Wyoming 1
## 2581 2580 New Jersey Wyoming 0
## 2582 2581 New Mexico Wyoming 0
## 2583 2582 New York Wyoming 0
## 2584 2583 North Carolina Wyoming 0
## 2585 2584 North Dakota Wyoming 0
## 2586 2585 Ohio Wyoming 0
## 2587 2586 Oklahoma Wyoming 0
## 2588 2587 Oregon Wyoming 1
## 2589 2588 Pennsylvania Wyoming 0
## 2590 2589 Rhode Island Wyoming 1
## 2591 2590 South Carolina Wyoming 1
## 2592 2591 South Dakota Wyoming 0
## 2593 2592 Tennessee Wyoming 0
## 2594 2593 Texas Wyoming 1
## 2595 2594 Utah Wyoming 0
## 2596 2595 Vermont Wyoming 0
## 2597 2596 Virginia Wyoming 0
## 2598 2597 Washington Wyoming 1
## 2599 2598 West Virginia Wyoming 0
## 2600 2599 Wisconsin Wyoming 0
## 2601 2600 Wyoming Wyoming 0
hey <- merge(df, grouped_flows_df, by.x=c("Source", "Target"), by.y=c("State_origin","State_destination"))
yo <- merge(df, grouped_flows_df, by.x=c("Source", "Target"), by.y=c("State_origin","State_destination"),all.y = TRUE)
yo[is.na(yo)] <- 0
keeps <- c("Source","Target", "Weight")
df_1 = hey[keeps]
df_2 = yo[keeps]
row_sub = apply(df_1, 1, function(row) all(row !=0 ))
##Subset as usual
df_1 = df_1[row_sub,]
flow_tidy<- df_1 %>%
rename(
o = Source,
d = Target,
weight = Weight
)
flow_tidy_1<- df_2 %>%
rename(
o = Source,
d = Target,
weight = Weight
)
Income <- get_acs(geography = "state", variables = "B19326_001E" , year = 2016,geometry = TRUE,shift_geo = FALSE)
## Getting data from the 2012-2016 5-year ACS
## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.
##
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Income_shift <- get_acs(geography = "state", variables = "B19326_001E" , year = 2016,geometry = TRUE,shift_geo = TRUE)
## Warning: The `shift_geo` argument is deprecated and will be removed in a future
## release. We recommend using `tigris::shift_geometry()` instead.
## Getting data from the 2012-2016 5-year ACS
## Using feature geometry obtained from the albersusa package
## Please note: Alaska and Hawaii are being shifted and are not to scale.
Income<- rename(Income, c("cmlad11cd" = "NAME"))
Income<- Income %>% filter(GEOID<57)
Income_shift<- rename(Income_shift, c("cmlad11cd" = "NAME"))
Income_shift<- Income_shift %>% filter(GEOID<57)
spdf <- as_Spatial(Income)
spdf_shift <- as_Spatial(Income_shift)
spdf.names<- spdf@data
spdf.names.shift<- spdf_shift@data
net.all <-graph_from_data_frame(flow_tidy, directed = TRUE, vertices = NULL)
net.all
## IGRAPH 9e8b007 DNW- 51 958 --
## + attr: name (v/c), weight (e/n)
## + edges from 9e8b007 (vertex names):
## [1] Alabama->Alaska Alabama->District of Columbia
## [3] Alabama->Georgia Alabama->North Dakota
## [5] Alabama->Oklahoma Alabama->Oregon
## [7] Alabama->South Carolina Alabama->Washington
## [9] Alaska ->Alabama Alaska ->Arkansas
## [11] Alaska ->California Alaska ->Colorado
## [13] Alaska ->Connecticut Alaska ->Georgia
## [15] Alaska ->Idaho Alaska ->Illinois
## + ... omitted several edges
net.all.und <- as.undirected(net.all,
mode=c("mutual"),
edge.attr.comb = igraph_opt("edge.attr.comb"))
communities.net.all <- cluster_fast_greedy(net.all.und)
# And convert it to a data.frame
communities.net.all_membership <- membership(communities.net.all) %>%
unclass %>% # we first need to unclass the object
as.data.frame %>% # we convert it to a dataframe
rename(community = ".") %>% # rename the community column
rownames_to_column("cmlad11cd") # we 'move' the rownames to a
# new column in order to do a merge below
wgs84 = '+proj=longlat +datum=WGS84'
states <- spTransform(spdf_shift, CRS(wgs84) )
Category_Map <- merge(x = states , y = communities.net.all_membership, by.x = "cmlad11cd",by.y = "cmlad11cd", duplicateGeoms = T)
Category_Map$community <- as.factor(Category_Map$community)
var <- "community"
Migration<- tm_shape(Category_Map,projection = 2163) +
tm_polygons(var,
palette = c("2" = "#1a1273", "3" = "#d90d0d", "1"="#e87b6d", "4" = "#74c5e3", "5" = "#32CD32"),
border.col = "white",
border.alpha = 1.0) +
tm_legend(legend.position = c("left", "bottom"))
current.mode <- tmap_mode("plot")
## tmap mode set to plotting
tmap_arrange(Migration)
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
q <- quantile(degree(net.all, mode = "out"), .7)
# Then, we create a network with the nodes we DON'T want to plot. In this case the lowest 90%
low_nodes <- V(net.all)[degree(net.all, mode = "out") < q] # 108659 is the 90% percentile. Feel free to play with different numbers
# And this is the network with the 10% of the most central nodes
net.all.central <- delete.vertices(net.all, low_nodes)
net.all.central$layout <- layout_with_fr
plot(net.all.central, # the graph to be plotted.
layout=layout.lgl,
main='US Migration Network', # specifies the title
vertex.label.font=2, # the font of the name labels
vertex.label=V(net.all.central)$id, # no labels for the vertices
vertex.label.font=1, # the font type of the name labels (1 plain, 2 bold, 3, italic, 4 bold italic, 5 symbol)
vertex.label.cex=.5, # specifies the size of the font of the labels. can also be made to vary
edge.arrow.size=0, # specifies the arrow size
vertex.size=degree(net.all.central, mode = "out")*2)
# Network diameter. We do not consider the weights because it affects the measurement.
d.all <- diameter(net.all, directed = TRUE, weights = NA)
d.all
## [1] 3
# Average path length
mean_ditst.all <- mean_distance(net.all)
print(mean_ditst.all)
## [1] 1.639608
# Network density
dens.all <- edge_density(net.all)
print(dens.all)
## [1] 0.3756863
# Clustering Coefficient or Transitivity
trans.all <- transitivity(net.all)
print(trans.all)
## [1] 0.5020904
# Reciprocity
rec.all <- reciprocity(net.all)
print(rec.all)
## [1] 0.776618
# Assortativity
ass.all <- assortativity_degree(net.all, directed = T)
print(ass.all)
## [1] -0.2911028
# Weighed in-degree centrality
Weighted.In.Degree <- degree(net.all, mode = "in")
# Weighed out-degree centrality
Weighted.Out.Degree <- degree(net.all, mode = "out")
# Weighed degree centrality
Weighted.Degree <- degree(net.all, mode = "all")
# Eigenvector centrality
Eigen.Centrality <- eigen_centrality(net.all)
# page rank centrality
Page.Rank <- page_rank(net.all)
names <- vertex_attr(net.all)[1]
# We are interested in the second elements of the vertex_attr() as the first one includes the local authority codes. Try str(vertex_attr(net.all)) to see why.
# Creates an object with all the centrality measures
centralities <- data.frame(Weighted.In.Degree,Weighted.Out.Degree,Weighted.Degree , Eigen.Centrality$vector, Page.Rank$vector)
centralities <- cbind(State = rownames(centralities), centralities)
rownames(centralities) <- 1:nrow(centralities)
par(mfrow=c(2,1))
p<- ggplot(centralities, aes(x=State, y=Weighted.Out.Degree)) +
geom_bar(stat="identity", fill="steelblue")+
theme_minimal()+
theme(axis.text.x = element_text(angle = 90)) +
scale_fill_brewer(palette = "Set1") +
theme(legend.position="none") +
ylab("US Out Degree Centrality") +
ggtitle("US Out Degree Centrality")
c <- ggplot(centralities, aes(x=State, y=Weighted.In.Degree)) +
geom_bar(stat="identity", fill="steelblue")+
theme_minimal()+
theme(axis.text.x = element_text(angle = 90)) +
scale_fill_brewer(palette = "Set1") +
theme(legend.position="none") +
ylab("US In Degree Centrality") +
ggtitle("US In Degree Centrality")
grid.arrange(p, c, nrow=2 )
wgs84 = '+proj=longlat +datum=WGS84'
states <- spTransform(spdf_shift, CRS(wgs84) )
Category_Map <- merge(x = states , y = centralities, by.x = "cmlad11cd",by.y = "State", duplicateGeoms = T)
Category_Map<- rename(Category_Map, c("In Degree" = "Weighted.In.Degree"))
## Warning in checkNames(value): attempt to set invalid names: this may lead to
## problems later on. See ?make.names
Category_Map$community <- select(Category_Map, "In Degree")
var <- "In Degree"
Migration<- tm_shape(Category_Map,projection = 2163) +
tm_polygons(var,
border.col = "white",
border.alpha = 1.0) +
tm_legend(legend.position = c("left", "bottom"))
current.mode <- tmap_mode("plot")
## tmap mode set to plotting
tmap_arrange(Migration)
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
wgs84 = '+proj=longlat +datum=WGS84'
states <- spTransform(spdf_shift, CRS(wgs84) )
Category_Map <- merge(x = states , y = centralities, by.x = "cmlad11cd",by.y = "State", duplicateGeoms = T)
Category_Map<- rename(Category_Map, c("Out Degree" = "Weighted.Out.Degree"))
## Warning in checkNames(value): attempt to set invalid names: this may lead to
## problems later on. See ?make.names
Category_Map$community <- select(Category_Map, "Out Degree")
var <- "Out Degree"
Migration<- tm_shape(Category_Map,projection = 2163) +
tm_polygons(var,
border.col = "white",
border.alpha = 1.0) +
tm_legend(legend.position = c("left", "bottom"))
current.mode <- tmap_mode("plot")
## tmap mode set to plotting
tmap_arrange(Migration)
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
wgs84 = '+proj=longlat +datum=WGS84'
states <- spTransform(spdf_shift, CRS(wgs84) )
Category_Map <- merge(x = states , y = centralities, by.x = "cmlad11cd",by.y = "State", duplicateGeoms = T)
Category_Map<- rename(Category_Map, c("Eigen" = "Eigen.Centrality.vector"))
Category_Map$community <- select(Category_Map, "Eigen")
var <- "Eigen"
Migration<- tm_shape(Category_Map,projection = 2163) +
tm_polygons(var,
border.col = "white",
border.alpha = 1.0) +
tm_legend(legend.position = c("left", "bottom"))
current.mode <- tmap_mode("plot")
## tmap mode set to plotting
tmap_arrange(Migration)
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
Income <- get_acs(geography = "state", variables = "B19326_001E" , year = 2016,geometry = TRUE,shift_geo = FALSE)
## Getting data from the 2012-2016 5-year ACS
## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.
Income_shift <- get_acs(geography = "state", variables = "B19326_001E" , year = 2016,geometry = TRUE,shift_geo = TRUE)
## Warning: The `shift_geo` argument is deprecated and will be removed in a future
## release. We recommend using `tigris::shift_geometry()` instead.
## Getting data from the 2012-2016 5-year ACS
## Using feature geometry obtained from the albersusa package
## Please note: Alaska and Hawaii are being shifted and are not to scale.
Income<- rename(Income, c("cmlad11cd" = "NAME"))
Income<- Income %>% filter(GEOID<57)
Income_shift<- rename(Income_shift, c("cmlad11cd" = "NAME"))
Income_shift<- Income_shift %>% filter(GEOID<57)
spdf <- as_Spatial(Income)
spdf_shift <- as_Spatial(Income_shift)
spdf.names<- spdf@data
spdf.names.shift<- spdf_shift@data
spdf.d <- CreateDistMatrix(spdf, spdf, longlat = T)
rownames(spdf.d) <- spdf$cmlad11cd
colnames(spdf.d) <- spdf$cmlad11cd
spdf.d <- as.data.frame.table(spdf.d, responseName = "value")
spdf.d <- spdf.d %>%
filter(Var1 != Var2)
download_census_variable <- function(variable, title) {
data <- get_acs(geography = "state", variables = variable , year = 2016,geometry = TRUE,shift_geo = FALSE)
data<- data %>% filter(GEOID<57)
data <-subset(data, select = c(NAME,estimate) )
return(data)
}
Employed <- download_census_variable("DP03_0004PE")
## Getting data from the 2012-2016 5-year ACS
## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.
## Using the ACS Data Profile
Employed<- rename(Employed, c("cmlad11cd" = "NAME","Employed"="estimate"))
Over_65 <- download_census_variable("DP02_0014PE")
## Getting data from the 2012-2016 5-year ACS
## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.
## Using the ACS Data Profile
Over_65<- rename(Over_65, c("cmlad11cd" = "NAME","Over_65"="estimate"))
Population <- download_census_variable("B00001_001E")
## Getting data from the 2012-2016 5-year ACS
## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.
Population<- rename(Population, c("cmlad11cd" = "NAME","Population"="estimate"))
rent <- download_census_variable("B25031_001E","rent")
## Getting data from the 2012-2016 5-year ACS
## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.
rent<- rename(rent, c("cmlad11cd" = "NAME","rent"="estimate"))
Income_1 <- download_census_variable("B19326_001E")
## Getting data from the 2012-2016 5-year ACS
## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.
Income_1 <- rename(Income_1, c("cmlad11cd" = "NAME","Income"="estimate"))
flow_tidy_1
## o d weight
## 1 Alabama Alaska 1
## 2 Alabama Arizona 0
## 3 Alabama Arkansas 0
## 4 Alabama California 0
## 5 Alabama Colorado 0
## 6 Alabama Connecticut 0
## 7 Alabama Delaware 0
## 8 Alabama District of Columbia 1
## 9 Alabama Florida 0
## 10 Alabama Georgia 1
## 11 Alabama Hawaii 0
## 12 Alabama Idaho 0
## 13 Alabama Illinois 0
## 14 Alabama Indiana 0
## 15 Alabama Iowa 0
## 16 Alabama Kansas 0
## 17 Alabama Kentucky 0
## 18 Alabama Louisiana 0
## 19 Alabama Maine 0
## 20 Alabama Maryland 0
## 21 Alabama Massachusetts 0
## 22 Alabama Michigan 0
## 23 Alabama Minnesota 0
## 24 Alabama Mississippi 0
## 25 Alabama Missouri 0
## 26 Alabama Montana 0
## 27 Alabama Nebraska 0
## 28 Alabama Nevada 0
## 29 Alabama New Hampshire 0
## 30 Alabama New Jersey 0
## 31 Alabama New Mexico 0
## 32 Alabama New York 0
## 33 Alabama North Carolina 0
## 34 Alabama North Dakota 1
## 35 Alabama Ohio 0
## 36 Alabama Oklahoma 1
## 37 Alabama Oregon 1
## 38 Alabama Pennsylvania 0
## 39 Alabama Rhode Island 0
## 40 Alabama South Carolina 1
## 41 Alabama South Dakota 0
## 42 Alabama Tennessee 0
## 43 Alabama Texas 0
## 44 Alabama Utah 0
## 45 Alabama Vermont 0
## 46 Alabama Virginia 0
## 47 Alabama Washington 1
## 48 Alabama West Virginia 0
## 49 Alabama Wisconsin 0
## 50 Alabama Wyoming 0
## 51 Alaska Alabama 1
## 52 Alaska Arizona 0
## 53 Alaska Arkansas 1
## 54 Alaska California 1
## 55 Alaska Colorado 1
## 56 Alaska Connecticut 1
## 57 Alaska Delaware 0
## 58 Alaska District of Columbia 0
## 59 Alaska Florida 0
## 60 Alaska Georgia 1
## 61 Alaska Hawaii 0
## 62 Alaska Idaho 1
## 63 Alaska Illinois 1
## 64 Alaska Indiana 1
## 65 Alaska Iowa 1
## 66 Alaska Kansas 1
## 67 Alaska Kentucky 1
## 68 Alaska Louisiana 1
## 69 Alaska Maine 0
## 70 Alaska Maryland 0
## 71 Alaska Massachusetts 0
## 72 Alaska Michigan 1
## 73 Alaska Minnesota 1
## 74 Alaska Mississippi 1
## 75 Alaska Missouri 1
## 76 Alaska Montana 1
## 77 Alaska Nebraska 0
## 78 Alaska Nevada 1
## 79 Alaska New Hampshire 1
## 80 Alaska New Jersey 1
## 81 Alaska New Mexico 1
## 82 Alaska New York 1
## 83 Alaska North Carolina 1
## 84 Alaska North Dakota 0
## 85 Alaska Ohio 1
## 86 Alaska Oklahoma 1
## 87 Alaska Oregon 1
## 88 Alaska Pennsylvania 0
## 89 Alaska Rhode Island 1
## 90 Alaska South Carolina 0
## 91 Alaska South Dakota 1
## 92 Alaska Tennessee 1
## 93 Alaska Texas 1
## 94 Alaska Utah 1
## 95 Alaska Vermont 1
## 96 Alaska Virginia 0
## 97 Alaska Washington 1
## 98 Alaska West Virginia 0
## 99 Alaska Wisconsin 1
## 100 Alaska Wyoming 1
## 101 Arizona Alabama 0
## 102 Arizona Alaska 1
## 103 Arizona Arkansas 1
## 104 Arizona California 0
## 105 Arizona Colorado 1
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## 2108 Tennessee Delaware 1
## 2109 Tennessee District of Columbia 1
## 2110 Tennessee Florida 1
## 2111 Tennessee Georgia 0
## 2112 Tennessee Hawaii 1
## 2113 Tennessee Idaho 0
## 2114 Tennessee Illinois 1
## 2115 Tennessee Indiana 0
## 2116 Tennessee Iowa 0
## 2117 Tennessee Kansas 0
## 2118 Tennessee Kentucky 1
## 2119 Tennessee Louisiana 1
## 2120 Tennessee Maine 0
## 2121 Tennessee Maryland 0
## 2122 Tennessee Massachusetts 0
## 2123 Tennessee Michigan 0
## 2124 Tennessee Minnesota 1
## 2125 Tennessee Mississippi 0
## 2126 Tennessee Missouri 0
## 2127 Tennessee Montana 0
## 2128 Tennessee Nebraska 0
## 2129 Tennessee Nevada 0
## 2130 Tennessee New Hampshire 0
## 2131 Tennessee New Jersey 0
## 2132 Tennessee New Mexico 0
## 2133 Tennessee New York 0
## 2134 Tennessee North Carolina 1
## 2135 Tennessee North Dakota 0
## 2136 Tennessee Ohio 1
## 2137 Tennessee Oklahoma 0
## 2138 Tennessee Oregon 1
## 2139 Tennessee Pennsylvania 0
## 2140 Tennessee Rhode Island 1
## 2141 Tennessee South Carolina 1
## 2142 Tennessee South Dakota 0
## 2143 Tennessee Texas 1
## 2144 Tennessee Utah 0
## 2145 Tennessee Vermont 1
## 2146 Tennessee Virginia 0
## 2147 Tennessee Washington 1
## 2148 Tennessee West Virginia 0
## 2149 Tennessee Wisconsin 0
## 2150 Tennessee Wyoming 0
## 2151 Texas Alabama 1
## 2152 Texas Alaska 0
## 2153 Texas Arizona 1
## 2154 Texas Arkansas 1
## 2155 Texas California 0
## 2156 Texas Colorado 0
## 2157 Texas Connecticut 1
## 2158 Texas Delaware 0
## 2159 Texas District of Columbia 1
## 2160 Texas Florida 0
## 2161 Texas Georgia 1
## 2162 Texas Hawaii 1
## 2163 Texas Idaho 1
## 2164 Texas Illinois 1
## 2165 Texas Indiana 1
## 2166 Texas Iowa 1
## 2167 Texas Kansas 0
## 2168 Texas Kentucky 0
## 2169 Texas Louisiana 1
## 2170 Texas Maine 0
## 2171 Texas Maryland 0
## 2172 Texas Massachusetts 0
## 2173 Texas Michigan 0
## 2174 Texas Minnesota 0
## 2175 Texas Mississippi 1
## 2176 Texas Missouri 0
## 2177 Texas Montana 1
## 2178 Texas Nebraska 0
## 2179 Texas Nevada 0
## 2180 Texas New Hampshire 0
## 2181 Texas New Jersey 1
## 2182 Texas New Mexico 1
## 2183 Texas New York 1
## 2184 Texas North Carolina 0
## 2185 Texas North Dakota 0
## 2186 Texas Ohio 0
## 2187 Texas Oklahoma 1
## 2188 Texas Oregon 0
## 2189 Texas Pennsylvania 0
## 2190 Texas Rhode Island 1
## 2191 Texas South Carolina 0
## 2192 Texas South Dakota 0
## 2193 Texas Tennessee 1
## 2194 Texas Utah 1
## 2195 Texas Vermont 0
## 2196 Texas Virginia 0
## 2197 Texas Washington 0
## 2198 Texas West Virginia 0
## 2199 Texas Wisconsin 1
## 2200 Texas Wyoming 1
## 2201 Utah Alabama 0
## 2202 Utah Alaska 1
## 2203 Utah Arizona 0
## 2204 Utah Arkansas 1
## 2205 Utah California 1
## 2206 Utah Colorado 0
## 2207 Utah Connecticut 0
## 2208 Utah Delaware 0
## 2209 Utah District of Columbia 1
## 2210 Utah Florida 1
## 2211 Utah Georgia 0
## 2212 Utah Hawaii 1
## 2213 Utah Idaho 0
## 2214 Utah Illinois 1
## 2215 Utah Indiana 0
## 2216 Utah Iowa 0
## 2217 Utah Kansas 1
## 2218 Utah Kentucky 0
## 2219 Utah Louisiana 1
## 2220 Utah Maine 0
## 2221 Utah Maryland 0
## 2222 Utah Massachusetts 0
## 2223 Utah Michigan 0
## 2224 Utah Minnesota 0
## 2225 Utah Mississippi 0
## 2226 Utah Missouri 1
## 2227 Utah Montana 0
## 2228 Utah Nebraska 0
## 2229 Utah Nevada 0
## 2230 Utah New Hampshire 0
## 2231 Utah New Jersey 0
## 2232 Utah New Mexico 0
## 2233 Utah New York 0
## 2234 Utah North Carolina 0
## 2235 Utah North Dakota 0
## 2236 Utah Ohio 0
## 2237 Utah Oklahoma 1
## 2238 Utah Oregon 0
## 2239 Utah Pennsylvania 0
## 2240 Utah Rhode Island 0
## 2241 Utah South Carolina 1
## 2242 Utah South Dakota 0
## 2243 Utah Tennessee 0
## 2244 Utah Texas 1
## 2245 Utah Vermont 0
## 2246 Utah Virginia 0
## 2247 Utah Washington 0
## 2248 Utah West Virginia 0
## 2249 Utah Wisconsin 0
## 2250 Utah Wyoming 0
## 2251 Vermont Alabama 0
## 2252 Vermont Alaska 1
## 2253 Vermont Arizona 0
## 2254 Vermont Arkansas 0
## 2255 Vermont California 0
## 2256 Vermont Colorado 1
## 2257 Vermont Connecticut 1
## 2258 Vermont Delaware 0
## 2259 Vermont District of Columbia 1
## 2260 Vermont Florida 0
## 2261 Vermont Georgia 0
## 2262 Vermont Hawaii 0
## 2263 Vermont Idaho 0
## 2264 Vermont Illinois 0
## 2265 Vermont Indiana 0
## 2266 Vermont Iowa 1
## 2267 Vermont Kansas 0
## 2268 Vermont Kentucky 0
## 2269 Vermont Louisiana 0
## 2270 Vermont Maine 0
## 2271 Vermont Maryland 0
## 2272 Vermont Massachusetts 0
## 2273 Vermont Michigan 0
## 2274 Vermont Minnesota 0
## 2275 Vermont Mississippi 0
## 2276 Vermont Missouri 0
## 2277 Vermont Montana 0
## 2278 Vermont Nebraska 1
## 2279 Vermont Nevada 0
## 2280 Vermont New Hampshire 0
## 2281 Vermont New Jersey 1
## 2282 Vermont New Mexico 0
## 2283 Vermont New York 1
## 2284 Vermont North Carolina 0
## 2285 Vermont North Dakota 1
## 2286 Vermont Ohio 1
## 2287 Vermont Oklahoma 1
## 2288 Vermont Oregon 0
## 2289 Vermont Pennsylvania 1
## 2290 Vermont Rhode Island 0
## 2291 Vermont South Carolina 0
## 2292 Vermont South Dakota 1
## 2293 Vermont Tennessee 0
## 2294 Vermont Texas 0
## 2295 Vermont Utah 0
## 2296 Vermont Virginia 1
## 2297 Vermont Washington 0
## 2298 Vermont West Virginia 0
## 2299 Vermont Wisconsin 1
## 2300 Vermont Wyoming 0
## 2301 Virginia Alabama 0
## 2302 Virginia Alaska 0
## 2303 Virginia Arizona 1
## 2304 Virginia Arkansas 1
## 2305 Virginia California 1
## 2306 Virginia Colorado 0
## 2307 Virginia Connecticut 1
## 2308 Virginia Delaware 1
## 2309 Virginia District of Columbia 1
## 2310 Virginia Florida 0
## 2311 Virginia Georgia 0
## 2312 Virginia Hawaii 1
## 2313 Virginia Idaho 0
## 2314 Virginia Illinois 0
## 2315 Virginia Indiana 1
## 2316 Virginia Iowa 0
## 2317 Virginia Kansas 0
## 2318 Virginia Kentucky 0
## 2319 Virginia Louisiana 1
## 2320 Virginia Maine 0
## 2321 Virginia Maryland 1
## 2322 Virginia Massachusetts 0
## 2323 Virginia Michigan 0
## 2324 Virginia Minnesota 0
## 2325 Virginia Mississippi 0
## 2326 Virginia Missouri 0
## 2327 Virginia Montana 0
## 2328 Virginia Nebraska 0
## 2329 Virginia Nevada 0
## 2330 Virginia New Hampshire 0
## 2331 Virginia New Jersey 1
## 2332 Virginia New Mexico 0
## 2333 Virginia New York 1
## 2334 Virginia North Carolina 0
## 2335 Virginia North Dakota 0
## 2336 Virginia Ohio 0
## 2337 Virginia Oklahoma 0
## 2338 Virginia Oregon 0
## 2339 Virginia Pennsylvania 0
## 2340 Virginia Rhode Island 1
## 2341 Virginia South Carolina 0
## 2342 Virginia South Dakota 0
## 2343 Virginia Tennessee 0
## 2344 Virginia Texas 0
## 2345 Virginia Utah 0
## 2346 Virginia Vermont 1
## 2347 Virginia Washington 1
## 2348 Virginia West Virginia 0
## 2349 Virginia Wisconsin 1
## 2350 Virginia Wyoming 0
## 2351 Washington Alabama 1
## 2352 Washington Alaska 1
## 2353 Washington Arizona 1
## 2354 Washington Arkansas 1
## 2355 Washington California 1
## 2356 Washington Colorado 1
## 2357 Washington Connecticut 1
## 2358 Washington Delaware 0
## 2359 Washington District of Columbia 1
## 2360 Washington Florida 0
## 2361 Washington Georgia 1
## 2362 Washington Hawaii 0
## 2363 Washington Idaho 1
## 2364 Washington Illinois 1
## 2365 Washington Indiana 0
## 2366 Washington Iowa 0
## 2367 Washington Kansas 1
## 2368 Washington Kentucky 1
## 2369 Washington Louisiana 1
## 2370 Washington Maine 0
## 2371 Washington Maryland 0
## 2372 Washington Massachusetts 1
## 2373 Washington Michigan 1
## 2374 Washington Minnesota 0
## 2375 Washington Mississippi 0
## 2376 Washington Missouri 1
## 2377 Washington Montana 1
## 2378 Washington Nebraska 1
## 2379 Washington Nevada 1
## 2380 Washington New Hampshire 0
## 2381 Washington New Jersey 1
## 2382 Washington New Mexico 1
## 2383 Washington New York 1
## 2384 Washington North Carolina 0
## 2385 Washington North Dakota 1
## 2386 Washington Ohio 1
## 2387 Washington Oklahoma 0
## 2388 Washington Oregon 0
## 2389 Washington Pennsylvania 1
## 2390 Washington Rhode Island 1
## 2391 Washington South Carolina 0
## 2392 Washington South Dakota 1
## 2393 Washington Tennessee 1
## 2394 Washington Texas 0
## 2395 Washington Utah 0
## 2396 Washington Vermont 0
## 2397 Washington Virginia 0
## 2398 Washington West Virginia 0
## 2399 Washington Wisconsin 1
## 2400 Washington Wyoming 1
## 2401 West Virginia Alabama 0
## 2402 West Virginia Alaska 0
## 2403 West Virginia Arizona 0
## 2404 West Virginia Arkansas 0
## 2405 West Virginia California 1
## 2406 West Virginia Colorado 0
## 2407 West Virginia Connecticut 1
## 2408 West Virginia Delaware 0
## 2409 West Virginia District of Columbia 1
## 2410 West Virginia Florida 0
## 2411 West Virginia Georgia 0
## 2412 West Virginia Hawaii 0
## 2413 West Virginia Idaho 0
## 2414 West Virginia Illinois 0
## 2415 West Virginia Indiana 1
## 2416 West Virginia Iowa 1
## 2417 West Virginia Kansas 0
## 2418 West Virginia Kentucky 0
## 2419 West Virginia Louisiana 1
## 2420 West Virginia Maine 0
## 2421 West Virginia Maryland 0
## 2422 West Virginia Massachusetts 0
## 2423 West Virginia Michigan 0
## 2424 West Virginia Minnesota 0
## 2425 West Virginia Mississippi 0
## 2426 West Virginia Missouri 0
## 2427 West Virginia Montana 0
## 2428 West Virginia Nebraska 0
## 2429 West Virginia Nevada 0
## 2430 West Virginia New Hampshire 0
## 2431 West Virginia New Jersey 1
## 2432 West Virginia New Mexico 1
## 2433 West Virginia New York 1
## 2434 West Virginia North Carolina 0
## 2435 West Virginia North Dakota 0
## 2436 West Virginia Ohio 0
## 2437 West Virginia Oklahoma 1
## 2438 West Virginia Oregon 0
## 2439 West Virginia Pennsylvania 0
## 2440 West Virginia Rhode Island 1
## 2441 West Virginia South Carolina 0
## 2442 West Virginia South Dakota 0
## 2443 West Virginia Tennessee 0
## 2444 West Virginia Texas 0
## 2445 West Virginia Utah 0
## 2446 West Virginia Vermont 0
## 2447 West Virginia Virginia 0
## 2448 West Virginia Washington 0
## 2449 West Virginia Wisconsin 0
## 2450 West Virginia Wyoming 0
## 2451 Wisconsin Alabama 0
## 2452 Wisconsin Alaska 1
## 2453 Wisconsin Arizona 1
## 2454 Wisconsin Arkansas 0
## 2455 Wisconsin California 1
## 2456 Wisconsin Colorado 1
## 2457 Wisconsin Connecticut 0
## 2458 Wisconsin Delaware 1
## 2459 Wisconsin District of Columbia 1
## 2460 Wisconsin Florida 1
## 2461 Wisconsin Georgia 0
## 2462 Wisconsin Hawaii 1
## 2463 Wisconsin Idaho 0
## 2464 Wisconsin Illinois 0
## 2465 Wisconsin Indiana 0
## 2466 Wisconsin Iowa 0
## 2467 Wisconsin Kansas 1
## 2468 Wisconsin Kentucky 0
## 2469 Wisconsin Louisiana 1
## 2470 Wisconsin Maine 0
## 2471 Wisconsin Maryland 0
## 2472 Wisconsin Massachusetts 0
## 2473 Wisconsin Michigan 1
## 2474 Wisconsin Minnesota 1
## 2475 Wisconsin Mississippi 0
## 2476 Wisconsin Missouri 1
## 2477 Wisconsin Montana 0
## 2478 Wisconsin Nebraska 1
## 2479 Wisconsin Nevada 0
## 2480 Wisconsin New Hampshire 0
## 2481 Wisconsin New Jersey 0
## 2482 Wisconsin New Mexico 0
## 2483 Wisconsin New York 0
## 2484 Wisconsin North Carolina 0
## 2485 Wisconsin North Dakota 0
## 2486 Wisconsin Ohio 1
## 2487 Wisconsin Oklahoma 0
## 2488 Wisconsin Oregon 1
## 2489 Wisconsin Pennsylvania 0
## 2490 Wisconsin Rhode Island 0
## 2491 Wisconsin South Carolina 1
## 2492 Wisconsin South Dakota 1
## 2493 Wisconsin Tennessee 0
## 2494 Wisconsin Texas 1
## 2495 Wisconsin Utah 0
## 2496 Wisconsin Vermont 1
## 2497 Wisconsin Virginia 0
## 2498 Wisconsin Washington 1
## 2499 Wisconsin West Virginia 0
## 2500 Wisconsin Wyoming 0
## 2501 Wyoming Alabama 0
## 2502 Wyoming Alaska 1
## 2503 Wyoming Arizona 0
## 2504 Wyoming Arkansas 0
## 2505 Wyoming California 0
## 2506 Wyoming Colorado 0
## 2507 Wyoming Connecticut 1
## 2508 Wyoming Delaware 0
## 2509 Wyoming District of Columbia 1
## 2510 Wyoming Florida 1
## 2511 Wyoming Georgia 0
## 2512 Wyoming Hawaii 1
## 2513 Wyoming Idaho 0
## 2514 Wyoming Illinois 0
## 2515 Wyoming Indiana 0
## 2516 Wyoming Iowa 0
## 2517 Wyoming Kansas 1
## 2518 Wyoming Kentucky 0
## 2519 Wyoming Louisiana 1
## 2520 Wyoming Maine 0
## 2521 Wyoming Maryland 0
## 2522 Wyoming Massachusetts 0
## 2523 Wyoming Michigan 0
## 2524 Wyoming Minnesota 1
## 2525 Wyoming Mississippi 0
## 2526 Wyoming Missouri 0
## 2527 Wyoming Montana 0
## 2528 Wyoming Nebraska 0
## 2529 Wyoming Nevada 0
## 2530 Wyoming New Hampshire 1
## 2531 Wyoming New Jersey 0
## 2532 Wyoming New Mexico 0
## 2533 Wyoming New York 0
## 2534 Wyoming North Carolina 0
## 2535 Wyoming North Dakota 0
## 2536 Wyoming Ohio 0
## 2537 Wyoming Oklahoma 0
## 2538 Wyoming Oregon 1
## 2539 Wyoming Pennsylvania 0
## 2540 Wyoming Rhode Island 1
## 2541 Wyoming South Carolina 1
## 2542 Wyoming South Dakota 0
## 2543 Wyoming Tennessee 0
## 2544 Wyoming Texas 0
## 2545 Wyoming Utah 0
## 2546 Wyoming Vermont 0
## 2547 Wyoming Virginia 0
## 2548 Wyoming Washington 1
## 2549 Wyoming West Virginia 0
## 2550 Wyoming Wisconsin 0
Total_File <- merge(flow_tidy_1, Income_1, by.x = "o",
by.y = "cmlad11cd",
all.x = TRUE)
Total_File <- merge(Total_File, Income_1, by.x = "d",
by.y = "cmlad11cd",
all.x = TRUE)
Total_File <- merge(Total_File, Employed, by.x = "o",
by.y = "cmlad11cd",
all.x = TRUE)
Total_File <- merge(Total_File, Employed, by.x = "d",
by.y = "cmlad11cd",
all.x = TRUE)
## Warning in merge.data.frame(Total_File, Employed, by.x = "d", by.y =
## "cmlad11cd", : column names 'geometry.x', 'geometry.y' are duplicated in the
## result
Total_File <- merge(Total_File, Over_65, by.x = "o",
by.y = "cmlad11cd",
all.x = TRUE)
## Warning in merge.data.frame(Total_File, Over_65, by.x = "o", by.y =
## "cmlad11cd", : column names 'geometry.x', 'geometry.y' are duplicated in the
## result
Total_File <- merge(Total_File, Over_65, by.x = "d",
by.y = "cmlad11cd",
all.x = TRUE)
## Warning in merge.data.frame(Total_File, Over_65, by.x = "d", by.y =
## "cmlad11cd", : column names 'geometry.x', 'geometry.y', 'geometry.x',
## 'geometry.y' are duplicated in the result
Total_File <- merge(Total_File, Population, by.x = "o",
by.y = "cmlad11cd",
all.x = TRUE)
## Warning in merge.data.frame(Total_File, Population, by.x = "o", by.y =
## "cmlad11cd", : column names 'geometry.x', 'geometry.y', 'geometry.x',
## 'geometry.y' are duplicated in the result
Total_File <- merge(Total_File, Population, by.x = "d",
by.y = "cmlad11cd",
all.x = TRUE)
## Warning in merge.data.frame(Total_File, Population, by.x = "d", by.y =
## "cmlad11cd", : column names 'geometry.x', 'geometry.y', 'geometry.x',
## 'geometry.y', 'geometry.x', 'geometry.y' are duplicated in the result
Total_File <- merge(Total_File, spdf.d, by.x=c("o", "d"), by.y=c("Var1", "Var2"))
## Warning in merge.data.frame(Total_File, spdf.d, by.x = c("o", "d"), by.y =
## c("Var1", : column names 'geometry.x', 'geometry.y', 'geometry.x', 'geometry.y',
## 'geometry.x', 'geometry.y' are duplicated in the result
Total_File$weight <- as.factor(Total_File$weight)
Total_File<- na.omit(Total_File)
library(tidyverse)
library("timetk")
library("lubridate")
##
## Attaching package: 'lubridate'
## The following objects are masked from 'package:igraph':
##
## %--%, union
## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, union
library("broom")
library(knitr)
library("gt")
library("RCurl")
##
## Attaching package: 'RCurl'
## The following object is masked from 'package:tidyr':
##
## complete
library(zoo)
##
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
library(dplyr)
library (readr)
urlfile <- "https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv"
y <- read_csv(url(urlfile))
##
## ── Column specification ────────────────────────────────────────────────────────
## cols(
## date = col_date(format = ""),
## state = col_character(),
## fips = col_character(),
## cases = col_double(),
## deaths = col_double()
## )
z<- read_csv("GDP.csv")
##
## ── Column specification ────────────────────────────────────────────────────────
## cols(
## Fips = col_double(),
## Area = col_character(),
## `2013` = col_double(),
## `2014` = col_double(),
## `2015` = col_double(),
## `2016` = col_double(),
## `2017` = col_double()
## )
z<- rename(z, GDP = "2017")
get.mav <- function(bp,n=7){
require(zoo)
if(is.na(bp[1])) bp[1] <- mean(bp,na.rm=TRUE)
bp <- na.locf(bp,na.rm=FALSE)
if(length(bp)<n) return(bp)
c(bp[1:(n-1)],rollapply(bp,width=n,mean,align="right"))
}
y <- with(y,y[order(state,date),])
y$seven_day_cases <-
unlist(aggregate(cases~state,y,get.mav,na.action=NULL,n=2)$cases)
y$seven_day_deaths <-
unlist(aggregate(cases~state,y,get.mav,na.action=NULL,n=2)$cases)
y<- y %>% filter(date == "2020-06-11")
Total_File <- merge(Total_File, z, by.x = "o",
by.y = "Area",
all.x = TRUE)
## Warning in merge.data.frame(Total_File, z, by.x = "o", by.y = "Area", all.x
## = TRUE): column names 'geometry.x', 'geometry.y', 'geometry.x', 'geometry.y',
## 'geometry.x', 'geometry.y' are duplicated in the result
Total_File <- merge(Total_File, z, by.x = "d",
by.y = "Area",
all.x = TRUE)
## Warning in merge.data.frame(Total_File, z, by.x = "d", by.y = "Area", all.x
## = TRUE): column names 'geometry.x', 'geometry.y', 'geometry.x', 'geometry.y',
## 'geometry.x', 'geometry.y' are duplicated in the result
Total_File <- merge(Total_File, y, by.x = "o",
by.y = "state",
all.x = TRUE)
## Warning in merge.data.frame(Total_File, y, by.x = "o", by.y = "state", all.x
## = TRUE): column names 'geometry.x', 'geometry.y', 'geometry.x', 'geometry.y',
## 'geometry.x', 'geometry.y' are duplicated in the result
Total_File <- merge(Total_File, y, by.x = "d",
by.y = "state",
all.x = TRUE)
## Warning in merge.data.frame(Total_File, y, by.x = "d", by.y = "state", all.x
## = TRUE): column names 'geometry.x', 'geometry.y', 'geometry.x', 'geometry.y',
## 'geometry.x', 'geometry.y' are duplicated in the result
glm((weight) ~ log(Income.x) + log(Income.y)+ log(Employed.x)+ log(Employed.y) +log(Over_65.x)+log(Over_65.y)+log(Population.x)+log(Population.y)+ log(seven_day_cases.x) + log(seven_day_cases.y) + log(seven_day_deaths.x) + log(seven_day_deaths.y) + log(GDP.x) + log(GDP.y) +log(value), family = binomial,
data = Total_File)
##
## Call: glm(formula = (weight) ~ log(Income.x) + log(Income.y) + log(Employed.x) +
## log(Employed.y) + log(Over_65.x) + log(Over_65.y) + log(Population.x) +
## log(Population.y) + log(seven_day_cases.x) + log(seven_day_cases.y) +
## log(seven_day_deaths.x) + log(seven_day_deaths.y) + log(GDP.x) +
## log(GDP.y) + log(value), family = binomial, data = Total_File)
##
## Coefficients:
## (Intercept) log(Income.x) log(Income.y)
## -39.685247 1.753181 0.257096
## log(Employed.x) log(Employed.y) log(Over_65.x)
## -2.351755 -3.348129 0.279771
## log(Over_65.y) log(Population.x) log(Population.y)
## -0.930030 0.356397 0.293569
## log(seven_day_cases.x) log(seven_day_cases.y) log(seven_day_deaths.x)
## -0.276264 -0.179982 NA
## log(seven_day_deaths.y) log(GDP.x) log(GDP.y)
## NA 1.619967 2.101938
## log(value)
## -0.007803
##
## Degrees of Freedom: 2549 Total (i.e. Null); 2536 Residual
## Null Deviance: 3376
## Residual Deviance: 3164 AIC: 3192