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