shiny_choro: Start a Shiny Application for Choropleths

In ramhiser/noncensus: U.S. Census Regional and Demographic Data

Description

This function takes a dataframe and generates a local Shiny application for visualizing the results in a choropleth.

Usage

shiny_choro(df, fill, categories = NULL, map = c("county", "state",
  "world"), palette = "Blues", background = c("Base", "Greyscale",
  "Physical", "None"), cuts = NULL, dir = NULL)

Arguments

df	The dataframe with column fips (the FIPS code of the counties or states to show), with a column for the data to show, and a column for the grouping variable (if specifying categories)
fill	The name of the variable to show in the choropleth
categories	The name of the (optional) grouping variable on which to divide the data
map	The level at which to draw the map. Options are county, state, and world
palette	An RColorBrewer palette to use. Default is Blues
background	One of Base, Greyscale, Physical, or None, to have as the background tiles for the map
cuts	An optional vector specifying where to make the color breaks. Default cuts are the 20th, 40th, 60th, and 80th percentiles
dir	The directory in which to create the Shiny app. Defaults to tempdir

Details

NOTE: The leaflet R package must be installed.

Examples

data(population_age, package = "noncensus")
shiny_choro(population_age, fill = "population", categories = "age_group",
            map = "county", palette = "Purples", background = "Grey")

ramhiser/noncensus documentation built on May 26, 2019, 10:11 p.m.