Choropleth Maps using Plotly Package in R

The choropleth map is a type of thematic map that displays divided regions colored or patterned based on a specific variable or data category. It is a powerful visualization tool commonly used to represent spatial data, such as population density, average income, or election results. In R, we can create choropleth maps using the Plotly package, which provides interactive and customizable visualizations.

The Plotly package in R allows us to create interactive and dynamic data visualizations, including choropleth maps. It leverages the Plotly JavaScript library to generate interactive plots that can be easily customized and shared. The package provides various functions and options to create and customize choropleth maps based on our data and requirements.

The plotly package can in installed using the following syntax:

install.packages("plotly")

There are plenty of packages in R that can be used to make maps, like leaflet, mapview, ggplot, spplot, plotly, etc. Each of the packages has its own advantages and disadvantages. But all of them have the common goal of making it easy to create maps and visualize geospatial data. In this article, we will learn how to create Choropleth maps using plotly package in R programming.