forked from ElectProject/Early-Vote-2020G
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathNM.Rmd
160 lines (118 loc) · 4.99 KB
/
NM.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
159
160
---
title: "New Mexico Early Voting Statistics"
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(tidyverse)
library(knitr)
library(kableExtra)
library(scales)
library(DT)
library(highcharter)
state_stats <- read_csv("D:/DropBox/Dropbox/Mail_Ballots_2020/markdown/2020G_Early_Vote.csv")
# Setup
party_shell <- data.frame(Party=character(),
Count=integer(),
Percent=double(),
stringsAsFactors=FALSE)
party_shell[1,1] <- "Democrats"
party_shell[2,1] <- "Republicans"
party_shell[3,1] <- "Minor"
party_shell[4,1] <- "No Party Affiliation"
party_shell[5,1] <- "TOTAL"
party_shell_returned <- data.frame(Party=character(),
Count=integer(),
Frequency=double(),
Count2=integer(),
Rate=integer(),
stringsAsFactors=FALSE)
party_shell_returned[1,1] <- "Democrats"
party_shell_returned[2,1] <- "Republicans"
party_shell_returned[3,1] <- "Minor"
party_shell_returned[4,1] <- "No Party Affiliation"
party_shell_returned[5,1] <- "TOTAL"
gender_shell <- data.frame(Gender=character(),
Count=integer(),
Percent=double(),
stringsAsFactors=FALSE)
gender_shell[1,1] <- "Female"
gender_shell[2,1] <- "Male"
gender_shell[3,1] <- "Unknown"
gender_shell[4,1] <- "TOTAL"
age_shell <- data.frame(Age=character(),
Count=integer(),
Percent=double(),
stringsAsFactors=FALSE)
age_shell[1,1] <- "18 to 24"
age_shell[2,1] <- "25 to 34"
age_shell[3,1] <- "35 to 44"
age_shell[4,1] <- "45 to 54"
age_shell[5,1] <- "55 to 64"
age_shell[6,1] <- "65 and up"
age_shell[7,1] <- "TOTAL"
# New Mexico
NM_inperson_party <- party_shell
NM_inperson_party[1,2] <- state_stats[32,77]
NM_inperson_party[2,2] <- state_stats[32,78]
NM_inperson_party[3,2] <- state_stats[32,79]
NM_inperson_party[4,2] <- state_stats[32,80]
NM_inperson_party[5,2] <- state_stats[32,7]
NM_inperson_party$Percent <- 100*NM_inperson_party$Count/NM_inperson_party[5,2]
NM_voted_party <- party_shell
NM_voted_party[1,2] <- state_stats[32,77] + state_stats[32,29]
NM_voted_party[2,2] <- state_stats[32,78] + state_stats[32,30]
NM_voted_party[3,2] <- state_stats[32,79] + state_stats[32,31]
NM_voted_party[4,2] <- state_stats[32,80] + state_stats[32,32]
NM_voted_party[5,2] <- state_stats[32,7] + state_stats[32,6]
NM_voted_party$Percent <- 100*NM_voted_party$Count/NM_voted_party[5,2]
NM_req_send_party <- party_shell
NM_req_send_party[1,2] <- state_stats[32,10]
NM_req_send_party[2,2] <- state_stats[32,11]
NM_req_send_party[3,2] <- state_stats[32,12]
NM_req_send_party[4,2] <- state_stats[32,13]
NM_req_send_party[5,2] <- state_stats[32,5]
NM_req_send_party$Percent <- 100*NM_req_send_party$Count/NM_req_send_party[5,2]
NM_accept_party <- party_shell_returned
NM_accept_party[1,2] <- state_stats[32,29]
NM_accept_party[2,2] <- state_stats[32,30]
NM_accept_party[3,2] <- state_stats[32,31]
NM_accept_party[4,2] <- state_stats[32,32]
NM_accept_party[5,2] <- state_stats[32,6]
NM_accept_party[1,4] <- state_stats[32,10]
NM_accept_party[2,4] <- state_stats[32,11]
NM_accept_party[3,4] <- state_stats[32,12]
NM_accept_party[4,4] <- state_stats[32,13]
NM_accept_party[5,4] <- state_stats[32,5]
NM_accept_party$Frequency <- 100*NM_accept_party$Count/NM_accept_party[5,2]
NM_accept_party$Rate <- 100*NM_accept_party$Count/NM_accept_party$Count2
colnames(NM_accept_party) <- c("Party", "Returned Ballots", "Freq. Distribution", "Requested Ballots", "Return Rate")
```
## {.tabset}
Last Report: `r state_stats[32,9]`
Source: `r state_stats[32,2]`
### Total Voted
Total Voted: **`r format(as.numeric(state_stats[32,8]), big.mark =",")`**
#### **Total Voted by Party Registration**
``` {r echo = FALSE}
kable(NM_voted_party, format.args = list(big.mark = ",",
scientific = FALSE), digits = 1) %>%
kable_styling(bootstrap_options = "striped", full_width = F, position = "left")
```
### In-Person Votes
In-Person Votes: **`r format(as.numeric(state_stats[32,7]), big.mark =",")`**
#### **In-Person Votes by Party Registration**
``` {r echo = FALSE}
kable(NM_inperson_party, format.args = list(big.mark = ",",
scientific = FALSE), digits = 1) %>%
kable_styling(bootstrap_options = "striped", full_width = F, position = "left")
```
### Mail Ballots Returned
Ballots Returned: **`r format(as.numeric(state_stats[32,6]), big.mark =",")`**
#### **Mail Ballots Returned and Accepted by Party Registration**
``` {r echo = FALSE}
kable(NM_accept_party, format.args = list(big.mark = ",",
scientific = FALSE), digits = 1) %>%
kable_styling(bootstrap_options = "striped", full_width = F, position = "left")
```
### Requested Mail Ballots
Ballots Requested: **`r format(as.numeric(state_stats[32,5]), big.mark =",")`**