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30 R Packages For Data Visualization That You May Not Know Of

Joanna
Geek Culture
Published in
5 min readJan 9, 2023

The packages/add-ins we will cover in this article include:

  • Interactive Graphics: ggvis, esquisse, ggThemeAssist, plotly, shiny, flexdashboard
  • Correlation Matrix: corrplot, ggcor, ggally
  • Heatmap: heatmap.2, d3heatmap, pheatmap, ComplexHeatmap, InteractiveComplexHeatmap
  • Color Theme: tvthemes, ggtech, ggsci, ggthemr, MetBrewer, ghibli, ggcute, ggpattern
  • 3D Visualization: scatterplot3d, plot3d, rayshader, ggthreed
  • Other Plots: ggpol, raincloud plot (ggrain, gghalves),ggstatsplot (highly recommend!), waffle plot (waffle, ggwaffle), treemapify

1. Interactive Graphics

1.1 ggvis

ggvis creates rich interactive graphics that you can play with locally.

1.2 esquisse add-in

You can create plots by dragging and dropping.

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Joanna
Joanna

Written by Joanna

Data Product @ TikTok | Adjunct Professor of Data Science | Python, R, ML, DL, RL, LLM

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