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 InteractivelyA 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.
{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.
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.
Rawgraphs is another tool to make figures without R: #dataviz #ui
RAWGraphsA free and open source tool for data visualization.
Make fancy tables: #rstats #tables
Easily Create Presentation-Ready Display TablesBuild display tables from tabular data with an easy-to-use set of functions. With its progressive approach, we can construct display tables with a cohesive set of table parts. Table values can be formatted using any of the included formatting functions. Footnotes and cell styles can be precisely added through a location targeting system. The way in which gt handles things for you means that you don't often have to worry about the fine details.
Highlight a certain aspect of your data in ggplot: #rstats #dataviz
Highlight Lines and Points in ggplot2Make it easier to explore data with highlights.