In this workshop we aim to give you a taste of what can be possible in R. We will dazzle you with an introduction to graphics creation using ggplot(), before we then change how you see data through ...

library(ggplot2) library(swemaps) library(rkolada) # devtools::install_github("reinholdsson/rkolada") # function to merge kolada data with map data from swemaps ...

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...

Labeling all or some of your data with text can help tell a story — even when your graph is using other cues like color and size. ggplot has a couple of built-in ways of doing this, and the ggrepel ...

In this tutorial we create basic visualizations (histograms and box plots) using R. The purpose of these basic visualizations is to see the distribution of a particular variable. The distribution ...