Interactive Map Showcases the Best Value Places to Rent in Rutherford County

The map is shaded by the average rent in each ZIP code within Rutherford County. Clicking on the ZIP codes will bring up further information for specific accomodations.

Code:

# Installing and loading required packages

if (!require("tidyverse"))
  install.packages("tidyverse")
if (!require("gtExtras"))
  install.packages("gtExtras")
if (!require("leafpop"))
  install.packages("leafpop")
if (!require("sf"))
  install.packages("sf")
if (!require("mapview"))
  install.packages("mapview")
if (!require("RColorBrewer"))
  install.packages("RColorBrewer")
if (!require("tidycensus"))
  install.packages("tidycensus")

library(tidyverse)
library(gtExtras)
library(sf)
library(mapview)
library(leafpop)
library(RColorBrewer)
library(tidycensus)

census_api_key("35989942993f23ba972685ee05578b3cdb4636bb")

Census_Data <- get_acs(
  geography = "zcta",
  variables = c("DP04_0047", "DP04_0045"),
  year = 2023,
  survey = "acs5",
  output = "wide",
  geometry = FALSE
)

Census_Data <- Census_Data %>% 
  rename(c("Rentals" = "DP04_0047E",
           "Rentals_MOE" = "DP04_0047M",
           "Households" = "DP04_0045E",
           "Households_MOE" = "DP04_0045M"))

# Redownloading the rent data

FMR_RuCo <- read_csv("https://raw.githubusercontent.com/drkblake/Data/refs/heads/main/FMR_RuCo.csv")

# Redownloading, unzipping and importing the ZIP code map file

download.file(
  "https://www2.census.gov/geo/tiger/GENZ2020/shp/cb_2020_us_zcta520_500k.zip",
  "ZCTAs2020.zip"
)

unzip("ZCTAs2020.zip")

ZCTAMap <- read_sf("cb_2020_us_zcta520_500k.shp")

# Merging the rent data and ZIP code map

FMR_RuCo$ZIP <- as.character(FMR_RuCo$ZIP)

FMR_RuCo_Map <- left_join(FMR_RuCo, ZCTAMap, by = c("ZIP" = "ZCTA5CE20"))

FMR_RuCo_Map <- FMR_RuCo_Map %>%
  select(-c(AFFGEOID20, GEOID20, NAME20, LSAD20, ALAND20, AWATER20))

FMR_RuCo_Map <- st_as_sf(FMR_RuCo_Map)

# Mapping by average rent with "Blues" color scheme

ZIP_Map <- mapview(
  FMR_RuCo_Map,
  zcol = "ZIP_Average",
  col.regions = brewer.pal(9, "Blues"),
  layer.name = "Average rent",
  popup = popupTable(
    FMR_RuCo_Map,
    feature.id = FALSE,
    row.numbers = FALSE,
    zcol = c("ZIP", "Studio", "BR1", "BR2", "BR3", "BR4")
  )
)

# Showing the map

ZIP_Map