Tootfinder

{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.

Added a customizable 2D vector field plot function for #ThingUmbrella

Declarative, functional & multi-format data visualization toolkit based around @thi.ng/hiccup

Population density wasn’t the point of this video but it would’ve been cooler if he used an equal-area projection instead. 🗺️
#dataviz

Deaths by domain of protest over 12 Bolivian presidencies.
Same data, same graphing technique, but sorting the categories (by which occurs across the most bins) brings visual order to this data visualization. #dataviz #rstats

Make fancy tables: #rstats #tables

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

RAWGraphs
A free and open source tool for data visualization.

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

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

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

Do you need inspiration how to present a dataset in a clear figure and what package to use? Check out #rstats

From data to Viz | Find the graphic you need
A classification of chart types based on their input data format.

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.

Examples of creative data visualizations, mostly ggplot: #ggplot

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.

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