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Choropleth-USdemographics.R
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Choropleth-USdemographics.R
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#----- Choropleth of US Demographics
# By; Zane Dax
# June 29, 2021
# Note: Tutorial by Julia Silge
# ---------------------- load libraries
library(choroplethr)
library(ggplot2)
library(RColorBrewer)
# ---------------------- load dataframe
data(df_county_demographics)
# - column names
colnames(df_county_demographics)
# -------------------- choropleth of state and population
library(choroplethrMaps)
df_county_demographics$value <- df_county_demographics$total_population
choro = CountyChoropleth$new(df_county_demographics)
choro$set_zoom("washington")
choro$title = "Where Do People in Washinton Live?"
choro$set_num_colors(1)
choro$ggplot_scale = scale_fill_gradientn(name = "Population",
colours = brewer.pal(8, "GnBu"))
choro$render()+ theme(plot.subtitle = element_text(size = 11,
colour = "gray"),
plot.caption = element_text(size = 10,
colour = "gray", hjust = 0),
panel.grid.major = element_line(linetype = "blank"),
panel.grid.minor = element_line(linetype = "blank"),
axis.title = element_text(colour = "white"),
axis.text = element_text(colour = "gray"),
plot.title = element_text(colour = "white",
vjust = 1), legend.text = element_text(colour = "white"),
legend.title = element_text(colour = "white"),
panel.background = element_rect(fill = "gray20"),
plot.background = element_rect(fill = "gray20",
size = 1),
legend.background = element_rect(fill = "gray20")) +labs(title = "Where did people in Washington Live in 2010?",
subtitle = "Choropleth of US Demographics using Choroplethr R package",
caption = "Made by Zane Dax, Credit: Julia Silge ")+ theme(legend.background = element_rect(size = .75))+ theme(legend.position = "left")
# --------------
df = df_county_demographics
# what was the median rent in Washington in 2010?
df$value <- df$median_rent
choro = CountyChoropleth$new(df)
choro$set_zoom("washington")
choro$title = "What was the median rent price in Washington in 2010?"
choro$set_num_colors(1)
choro$ggplot_scale = scale_fill_gradientn(name = "Median Rent ($)",
colours = brewer.pal(8, "GnBu"))
choro$render() + theme(plot.caption = element_text(size = 12,
colour = "gray", hjust = 0), panel.grid.major = element_line(linetype = "blank"),
panel.grid.minor = element_line(linetype = "blank"),
axis.title = element_text(colour = "white",
vjust = 1.5), axis.text = element_text(colour = "gray",
vjust = 0, angle = -10), plot.title = element_text(colour = "white"),
legend.text = element_text(colour = "white"),
legend.title = element_text(colour = "white"),
panel.background = element_rect(fill = "gray20"),
plot.background = element_rect(fill = "gray20",
colour = NA, size = 3.5), legend.key = element_rect(colour = "white"),
legend.background = element_rect(fill = NA,
size = 0.3)) +labs(caption = "Made by: Zane Dax, Credit: Julia Silge")
# -------------- I checked for White and Asian then Black demographics
# what is the ethnicity in Washington in 2010?
df$value <- df$percent_black
choro = CountyChoropleth$new(df)
choro$set_zoom("washington")
choro$title = "what was the % of Black people in Washington in 2010?"
choro$set_num_colors(1)
choro$ggplot_scale = scale_fill_gradientn(name = "Percent (%)",
colours = brewer.pal(8, "GnBu"))
choro$render() + theme(plot.caption = element_text(size = 12,
colour = "gray", hjust = 0), panel.grid.major = element_line(linetype = "blank"),
panel.grid.minor = element_line(linetype = "blank"),
axis.title = element_text(colour = "white",
vjust = 1.5), axis.text = element_text(colour = "gray",
vjust = 0, angle = -10), plot.title = element_text(colour = "white"),
legend.text = element_text(colour = "white"),
legend.title = element_text(colour = "white"),
panel.background = element_rect(fill = "gray20"),
plot.background = element_rect(fill = "gray20",
colour = NA, size = 3.5), legend.key = element_rect(colour = "white"),
legend.background = element_rect(fill = NA,
size = 0.3)) +labs(caption = "Made by: Zane Dax, Credit: Julia Silge")