forked from ElectProject/Early-Vote-2020G
-
Notifications
You must be signed in to change notification settings - Fork 0
/
SD.Rmd
158 lines (122 loc) · 5.1 KB
/
SD.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
---
title: "South Dakota Early Voting Statistics"
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(tidyverse)
library(knitr)
library(kableExtra)
library(scales)
library(DT)
library(highcharter)
state_stats <- read_csv("D:/DropBox/Dropbox/Mail_Ballots_2020/markdown/2020G_Early_Vote.csv")
# Setup
party_shell <- data.frame(Party=character(),
Count=integer(),
Percent=double(),
stringsAsFactors=FALSE)
party_shell[1,1] <- "Democrats"
party_shell[2,1] <- "Republicans"
party_shell[3,1] <- "Minor"
party_shell[4,1] <- "No Party Affiliation"
party_shell[5,1] <- "TOTAL"
party_shell_returned <- data.frame(Party=character(),
Count=integer(),
Frequency=double(),
Count2=integer(),
Rate=integer(),
stringsAsFactors=FALSE)
party_shell_returned[1,1] <- "Democrats"
party_shell_returned[2,1] <- "Republicans"
party_shell_returned[3,1] <- "Minor"
party_shell_returned[4,1] <- "No Party Affiliation"
party_shell_returned[5,1] <- "TOTAL"
race_shell <- data.frame(Race=character(),
Count=integer(),
Percent=double(),
stringsAsFactors=FALSE)
race_shell[1,1] <- "Non-Hispanic White"
race_shell[2,1] <- "Non-Hispanic Black"
race_shell[3,1] <- "Hispanic"
race_shell[4,1] <- "Non-Hispanic Asian American"
race_shell[5,1] <- "Non-Hispanic Native American"
race_shell[6,1] <- "Other/Multiple/Unknown"
race_shell[7,1] <- "TOTAL"
gender_shell <- data.frame(Gender=character(),
Count=integer(),
Percent=double(),
stringsAsFactors=FALSE)
gender_shell[1,1] <- "Female"
gender_shell[2,1] <- "Male"
gender_shell[3,1] <- "Unknown"
gender_shell[4,1] <- "TOTAL"
age_shell <- data.frame(Age=character(),
Count=integer(),
Percent=double(),
stringsAsFactors=FALSE)
age_shell[1,1] <- "18 to 24"
age_shell[2,1] <- "25 to 34"
age_shell[3,1] <- "35 to 44"
age_shell[4,1] <- "45 to 54"
age_shell[5,1] <- "55 to 64"
age_shell[6,1] <- "65 and up"
age_shell[7,1] <- "TOTAL"
# South Dakota
SD_inperson_party <- party_shell
SD_inperson_party[1,2] <- state_stats[42,77]
SD_inperson_party[2,2] <- state_stats[42,78]
SD_inperson_party[3,2] <- state_stats[42,79]
SD_inperson_party[4,2] <- state_stats[42,80]
SD_inperson_party[5,2] <- state_stats[42,7]
SD_inperson_party$Percent <- 100*SD_inperson_party$Count/SD_inperson_party[5,2]
SD_voted_party <- party_shell
SD_voted_party[1,2] <- state_stats[42,77] + state_stats[42,29]
SD_voted_party[2,2] <- state_stats[42,78] + state_stats[42,30]
SD_voted_party[3,2] <- state_stats[42,79] + state_stats[42,31]
SD_voted_party[4,2] <- state_stats[42,80] + state_stats[42,32]
SD_voted_party[5,2] <- state_stats[42,7] + state_stats[42,6]
SD_voted_party$Percent <- 100*SD_voted_party$Count/SD_voted_party[5,2]
SD_return_party <- party_shell_returned
SD_return_party[1,2] <- state_stats[42,29]
SD_return_party[2,2] <- state_stats[42,30]
SD_return_party[3,2] <- state_stats[42,31]
SD_return_party[4,2] <- state_stats[42,32]
SD_return_party[5,2] <- state_stats[42,6]
SD_return_party[1,4] <- state_stats[42,10]
SD_return_party[2,4] <- state_stats[42,11]
SD_return_party[3,4] <- state_stats[42,12]
SD_return_party[4,4] <- state_stats[42,13]
SD_return_party[5,4] <- state_stats[42,5]
SD_return_party$Frequency <- 100*SD_return_party$Count/SD_return_party[5,2]
SD_return_party$Rate <- 100*SD_return_party$Count/SD_return_party$Count2
colnames(SD_return_party) <- c("Party", "Returned Ballots", "Freq. Distribution", "Requested Ballots", "Return Rate")
```
## {.tabset}
Last Report: `r state_stats[42,9]`
Source: `r state_stats[42,2]`
### Total Voted
Total Voted: **`r format(as.numeric(state_stats[42,8]), big.mark =",")`**
#### Total Voted by Party Registration
``` {r echo = FALSE}
kable(SD_voted_party, format.args = list(big.mark = ",",
scientific = FALSE), digits = 1) %>%
kable_styling(bootstrap_options = "striped", full_width = F, position = "left")
```
### Total In-Person Early
In-Person: **`r format(as.numeric(state_stats[42,7]), big.mark =",")`**
#### In-Person by Party Registration
``` {r echo = FALSE}
kable(SD_inperson_party, format.args = list(big.mark = ",",
scientific = FALSE), digits = 1) %>%
kable_styling(bootstrap_options = "striped", full_width = F, position = "left")
```
### Returned Mail Ballots
Returned Mail Ballots: **`r format(as.numeric(state_stats[42,6]), big.mark =",")`**
#### Mail Ballots Returned by Party Registration
``` {r echo = FALSE}
kable(SD_return_party, format.args = list(big.mark = ",",
scientific = FALSE), digits = 1) %>%
kable_styling(bootstrap_options = "striped", full_width = F, position = "left")
```
### Mail Ballot Requests
Requested Mail Ballots: **`r format(as.numeric(state_stats[42,5]), big.mark =",")`**