ggvis <img class="emoji" alt="heart" src="https://cdn.jsdelivr.net/gh/qinwf/awesome-R@3c66da6e291bcc0520b1649125b0bed750896a9a/heart.png" height="20" align="absmiddle" width="20">
An interactive grammar of graphics for R that combines ggplot2's grammar with reactive programming from Shiny.
What is ggvis <img class="emoji" alt="heart" src="https://cdn.jsdelivr.net/gh/qinwf/awesome-R@3c66da6e291bcc0520b1649125b0bed750896a9a/heart.png" height="20" align="absmiddle" width="20">?
ggvis is an R package for building interactive web graphics using a grammar of graphics approach. It combines the layering system of ggplot2 with reactive programming from Shiny and data transformation pipelines from dplyr, allowing users to create dynamic visualizations for exploratory data analysis. Graphics are rendered with Vega, supporting both raster and vector outputs.
R users, particularly data scientists and analysts, who need interactive visualizations for exploratory data analysis and want a grammar-based, reactive approach similar to ggplot2.
It provides a succinct, tailored syntax for interactive graphics in R, bridging the gap between static ggplot2 plots and fully custom D3/Shiny apps, with integrated reactivity and pipeline-friendly design.
Overview
Interactive grammar of graphics for R
Use Cases
Best For
- Creating interactive scatter plots and histograms for data exploration in R
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