MTSU students can bypass the clutter of election day voting by driving to these early voting locations.
The blue point represents MTSU’s location.
The orange points shows nearby early voting locations.
For more information, refer to Rutherford County’s Early
Voting page.
The R code for this map is below:
# Required packages
if (!require("tidyverse"))
install.packages("tidyverse")
if (!require("sf"))
install.packages("sf")
if (!require("mapview"))
install.packages("mapview")
if (!require("leaflet"))
install.packages("leaflet")
if (!require("leaflet.extras2"))
install.packages("leaflet.extras2")
library(tidyverse)
library(sf)
library(mapview)
library(leaflet)
library(leaflet.extras2)
library(leafpop)
mapviewOptions(basemaps.color.shuffle = FALSE)
# Load the address and lat/long data
Addresses_gc <- read_csv(
"https://raw.githubusercontent.com/drkblake/Data/refs/heads/main/EarlyVotingLocations_gc.csv"
)
# Add MTSU
long <- -86.361861
lat <- 35.848997
Addresses_gc <- Addresses_gc %>%
add_row(Location = "MTSU",
long = long,
lat = lat) %>%
mutate(Point = case_when(Location == "MTSU" ~ "MTSU",
TRUE ~ "Early vote here"))
MapData <- st_as_sf(Addresses_gc,
coords = c("long", "lat"),
crs = 4326)
# Make the map
MyMap <- mapview(MapData,
zcol = "Point",
layer.name = "Point",
col.regions = c("orange", "blue"),
map.types = c("OpenStreetMap","Esri.WorldImagery"),
popup = popupTable(
MapData,
feature.id = FALSE,
row.numbers = FALSE,
zcol = c("Location",
"Address",
"Week",
"Weekend")))
# Show the map
MyMap