Wining candidate by county in MISSISSIPPI

## Getting data from the 2014-2018 5-year ACS

## Linking to GEOS 3.6.1, GDAL 2.2.3, PROJ 4.9.3
## Warning in st_centroid.sf(ms): st_centroid assumes attributes are constant over
## geometries of x
## Warning in st_centroid.sfc(st_geometry(x), of_largest_polygon =
## of_largest_polygon): st_centroid does not give correct centroids for longitude/
## latitude data

## `summarise()` ungrouping output (override with `.groups` argument)

## `summarise()` ungrouping output (override with `.groups` argument)

## `summarise()` ungrouping output (override with `.groups` argument)

## `summarise()` ungrouping output (override with `.groups` argument)

## `summarise()` ungrouping output (override with `.groups` argument)

## `summarise()` ungrouping output (override with `.groups` argument)

Votes by county in MISSISSIPPI State
county
|
Donald Trump
|
Joe Biden
|
Adams
|
5696
|
7917
|
Alcorn
|
12818
|
2782
|
Amite
|
4503
|
2620
|
Attala
|
5178
|
3542
|
Benton
|
2570
|
1679
|
Bolivar
|
4671
|
8904
|
Calhoun
|
4625
|
1902
|
Carroll
|
3924
|
1729
|
Chickasaw
|
4175
|
3810
|
Choctaw
|
3001
|
1185
|
Claiborne
|
603
|
3772
|
Clarke
|
5417
|
2838
|
Clay
|
4181
|
5844
|
Coahoma
|
2375
|
6020
|
Copiah
|
6250
|
6470
|
Covington
|
5854
|
3416
|
DeSoto
|
46462
|
28265
|
Forrest
|
17290
|
13755
|
Franklin
|
2923
|
1480
|
George
|
9713
|
1218
|
Greene
|
4794
|
966
|
Grenada
|
6081
|
4734
|
Hancock
|
16132
|
4504
|
Harrison
|
46822
|
27728
|
Hinds
|
25141
|
73550
|
Holmes
|
1369
|
6588
|
Humphreys
|
1118
|
3016
|
Issaquena
|
308
|
355
|
Itawamba
|
9438
|
1249
|
Jackson
|
36295
|
17375
|
Jasper
|
4302
|
4341
|
Jefferson
|
531
|
3327
|
Jefferson Davis
|
2534
|
3599
|
Jones
|
21226
|
8517
|
Kemper
|
1787
|
2887
|
Lafayette
|
12949
|
10070
|
Lamar
|
20704
|
7340
|
Lauderdale
|
17967
|
12960
|
Lawrence
|
4285
|
2260
|
Leake
|
5228
|
3897
|
Lee
|
24207
|
12189
|
Leflore
|
3129
|
7648
|
Lincoln
|
11596
|
5040
|
Lowndes
|
13800
|
13087
|
Madison
|
31091
|
24440
|
Marion
|
8273
|
3787
|
Marshall
|
7566
|
8057
|
Monroe
|
11177
|
5874
|
Montgomery
|
2917
|
2121
|
Neshoba
|
8320
|
3260
|
Newton
|
6997
|
3075
|
Noxubee
|
1240
|
4040
|
Oktibbeha
|
9004
|
10299
|
Panola
|
8060
|
7403
|
Pearl River
|
19595
|
4148
|
Perry
|
4500
|
1362
|
Pike
|
8479
|
8646
|
Pontotoc
|
11550
|
2614
|
Prentiss
|
8370
|
2153
|
Quitman
|
1026
|
2150
|
Rankin
|
50895
|
18847
|
Scott
|
6285
|
4330
|
Sharkey
|
688
|
1465
|
Simpson
|
7635
|
4037
|
Smith
|
6458
|
1791
|
Stone
|
5964
|
1802
|
Sunflower
|
2799
|
6781
|
Tallahatchie
|
2488
|
3105
|
Tate
|
8707
|
4183
|
Tippah
|
8054
|
1937
|
Tishomingo
|
7933
|
1059
|
Tunica
|
926
|
2580
|
Union
|
10373
|
2160
|
Walthall
|
4220
|
2835
|
Warren
|
10365
|
10442
|
Washington
|
5300
|
12503
|
Wayne
|
6307
|
3624
|
Webster
|
4291
|
1043
|
Wilkinson
|
1324
|
2749
|
Winston
|
5112
|
4040
|
Yalobusha
|
3671
|
2785
|
Yazoo
|
4832
|
5496
|
## Getting data from the 2019 1-year ACS
## The one-year ACS provides data for geographies with populations of 65,000 and greater.

Hinds County
## Loading required package: viridisLite
## Getting data from the 2010 decennial Census