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@datascience@genomic.social
2025-12-15 11:00:00

Add richer tooltips to ggiraph with kableExtra and friends: #dataviz

@datascience@genomic.social
2025-12-14 11:00:01

Make interactive ggplots with {ggiraph}: #ggplot #dataviz

Make ggplot2 Graphics Interactive
Create interactive ggplot2 graphics using htmlwidgets.

@datascience@genomic.social
2025-12-13 11:00:01

Enrich your ggplots with extra panels along the x and y axis: #ggplot #dataviz <…

GitHub - jtlandis/ggside: ggplot2 extension allowing for plotting various geometries as side panels using the ggplot2 API
ggplot2 extension allowing for plotting various geometries as side panels using the ggplot2 API - jtlandis/ggside

@datascience@genomic.social
2026-01-15 11:00:00

Examples of creative data visualizations, mostly ggplot: #ggplot #dataviz

GitHub - tashapiro/tanya-data-viz: Personal data visualization side projects.
Personal data visualization side projects. Contribute to tashapiro/tanya-data-viz development by creating an account on GitHub.

@datascience@genomic.social
2026-02-07 11:00:01

{ggrain}: Raincloud plots for ggplot2: #rstats #dataviz

GitHub - njudd/ggrain: {package} Make beautiful Raincloud plots in R!
{package} Make beautiful Raincloud plots in R! Contribute to njudd/ggrain development by creating an account on GitHub.

@datascience@genomic.social
2025-12-24 11:00:01

Rawgraphs is another tool to make figures without R: #dataviz #ui

RAWGraphs
A free and open source tool for data visualization.

@datascience@genomic.social
2026-01-26 11:00:00

Highlight a certain aspect of your data in ggplot: #rstats #dataviz

Highlight Lines and Points in ggplot2
Make it easier to explore data with highlights.

@datascience@genomic.social
2026-01-20 11:00:00

The {esquisse} package makes it easy to plot your data in different ways with a drag and drop interface: #rstats

Explore and Visualize Your Data Interactively
A shiny gadget to create ggplot2 figures interactively with drag-and-drop to map your variables to different aesthetics. You can quickly visualize your data accordingly to their type, export in various formats, and retrieve the code to reproduce the plot.