Simplify the Creation of Choropleth Maps in R
Create an admin1-level choropleth for a specified country
Create a map of Administrative Level 1 regions
An R6 object for creating Administration Level 1 choropleths.
An R6 object for creating Administration Level 1 choropleths based on ...
Calculate the percentage change between two choroplethr dataframes.
The base Choropleth object.
Animate a list of choropleths
Create a country-level choropleth using data from the World Bank's Wor...
Create a country-level choropleth
An R6 object for creating country-level choropleths.
Create a choropleth of US Counties
Create a US County choropleth from ACS data
Create a county-level choropleth
Create a county-level choropleth that zooms on counties, not states.
Place two maps side by side
Remove non-voting Congressional Districts from a data.frame
Returns a list representing American Community Survey (ACS) estimates
Get a handful of demographic variables on US Congressional Districts f...
Get a handful of demographic variables on US Counties from the US Cens...
Get a handful of demographic variables on US States from the US Census...
Get a handful of demographic variables on Census Tracts in a State fro...
Get a map of tracts in a state, as a data.frame
Create a choropleth of US States
Create a US State choropleth from ACS data
Create a state-level choropleth
Create a choropleth of Census Tracts in a particular state.
An R6 object for creating choropleths of Census Tracts.
Normal choropleth that draws Alaska and Hawaii as insets. In addition ...
Create box plots to visualize race and ethnicity by party
Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps.