lab11

Davidson County Election Analysis

This analysis maps display that Harris is predominantly the winner in the inner circle of Davidson County. So areas like Nashville/East Nashville/Berry Hill. Whereas Trump wins in the outer circle of the county. A pattern evident in the precincts within Harris is that the 24-5 precinct has the largest number of votes for Harris, as does the 20-2 precinct.

## Joining with `by = join_by(County, Precinct)`

Code:

# Required packages

if (!require("tidyverse"))
  install.packages("tidyverse")
if (!require("mapview"))
  install.packages("mapview")
if (!require("sf"))
  install.packages("sf")
if (!require("leaflet"))
  install.packages("leaflet")
if (!require("leaflet.extras2"))
  install.packages("leaflet.extras2")
if (!require("plotly"))
  install.packages("plotly")

library(tidyverse)
library(mapview)
library(sf)
library(leaflet)
library(leafpop)
library(readxl)
library(plotly)


# Getting the election data

VoteData <- read.csv("https://github.com/drkblake/Data/raw/refs/heads/main/Davidson_Vote_Data.csv")

# Getting the map

download.file("https://github.com/drkblake/Data/raw/refs/heads/main/Davidson_Precincts.zip","DavidsonPrecinctMap.zip")

unzip("DavidsonPrecinctMap.zip")

MapInfo <- read_sf("Davidson_Precincts.shp")



# Enhancing the data

VoteData2 <- VoteData %>% 
  mutate(Total = Trump + Harris + Other,
         Pct_Trump = round((Trump / Total)*100,1),
         Pct_Harris = round((Harris / Total)*100,1),
         Pct_Other = round((Other / Total)*100,1),
         Margin_Trump = Trump - Harris,
         Margin_Harris = Harris - Trump,
         Winner = case_when(Trump > Harris ~ "Trump",
                            Harris > Trump ~ "Harris",
                            Other > (Trump + Harris) ~ "Other",
                            .default = "Tie"))



# Merging the data and the map

DataAndMap <- left_join(VoteData2,MapInfo)



# Converting the merged data and map into an sf object

DataAndMap <- st_as_sf(DataAndMap)







# Trump percentage map

mypalette = colorRampPalette(c('blue', 'red'))

PctTrumpMap <- mapview(
  DataAndMap,
  zcol = "Pct_Trump",
  col.regions = mypalette,
  map.types = ("OpenStreetMap"),
  layer.name = "Pct. Trump",
  popup = popupTable(
    DataAndMap,
    feature.id = FALSE,
    row.numbers = FALSE,
    zcol = c(
      "Precinct",
      "Trump",
      "Harris",
      "Other",
      "Total",
      "Pct_Trump",
      "Pct_Harris",
      "Pct_Other",
      "Margin_Trump",
      "Margin_Harris",
      "Winner"
    )
  )
)

PctTrumpMap














# Harris percentage map

mypalette = colorRampPalette(c('red', 'blue'))


PctHarrisMap <- mapview(
  DataAndMap,
  zcol = "Pct_Harris",
  col.regions = mypalette,
  map.types = ("OpenStreetMap"),
  layer.name = "Pct. Harris",
  popup = popupTable(
    DataAndMap,
    feature.id = FALSE,
    row.numbers = FALSE,
    zcol = c(
      "Precinct",
      "Trump",
      "Harris",
      "Other",
      "Total",
      "Pct_Trump",
      "Pct_Harris",
      "Pct_Other",
      "Margin_Trump",
      "Margin_Harris",
      "Winner"
    )
  )
)

PctHarrisMap











# Sort the data by the Total variable
# and make it stay sorted in the chart

ChartData <- DataAndMap %>% 
  arrange(Total) %>% 
  mutate(Precinct = factor(Precinct, levels = Precinct))

# Create and format the chart

Chart <- plot_ly(data = ChartData, orientation = 'h') %>% 
  add_trace(
    x = ~Trump, 
    y = ~Precinct, 
    name = 'Trump', 
    type = 'bar',
    marker = list(color = 'red') # We have made the red bars
  ) %>% 
  add_trace(
    x = ~Harris, 
    y = ~Precinct, 
    name = 'Harris', 
    type = 'bar',
    marker = list(color = 'darkblue') # We have added the blue bars
  ) %>% 
  add_trace(
    x = ~Other, 
    y = ~Precinct, 
    name = 'Other', 
    type = 'bar',
    marker = list(color = 'gray') #We have added the gray bars
  ) %>% 
  add_trace(
    x = ~Other,
    y = ~Precinct,
    type = 'bar',
    name = '',
    marker = list(color = 'rgba(0,0,0,0)'),
    text = ~Winner,
    textposition = 'outside',
    showlegend = FALSE # We have added the "winner" labels
  ) %>%
  layout(
    barmode = 'stack',
    xaxis = list(title = 'Number of Votes'),
    yaxis = list(title = 'Precinct',
                 tickfont = list(size = 10),
                 automargin = TRUE)) # We have made it a stacked bar chart

# Show the plot

Chart