Learn how ggplot2 compares to other R packages for data visualization, such as base R, lattice, plotly, and highcharter. Discover the advantages and disadvantages of each package, and find the ...

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This repository contains R code and examples how to do some basic spatial data visualization with R and ggplot2. The shapefile in a folder estParishDialects is the Map of the Place Name Database ...

R has a rich and diverse ecosystem of packages for data visualization. Some of the most popular ones are ggplot2, plotly, leaflet, and shiny. Each package has its own strengths and limitations ...

Prerequisite: Introduction to Data Visualization in R or moderate experience using R. Learn how to create advanced visualizations in R with the ggplot2 package. We will learn the Grammar of Graphics, ...

Painless data visualization in R. how-to. Aug 18, ... Another reason: The organization and syntax of an add-on package might appeal to you more than do the R defaults. Using ggplot2.

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable ...

As usual, first a little bit of data prep. The code below loads four packages, downloads a GIS file defining state polygon borders, then joins that with state populations in 2000, 2010, and 2020.