This is an opinionated essay about good and bad practices in data visualization. Examples and explanations are below. The Scripts/ directory contains .Rmd files that generate the graphics shown below.

{colourpicker} gives you a colour picker widget that can be used in different contexts in R. You can use colourInput() to include a colour picker input in Shiny apps (or in R markdown documents). It ...

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 ...

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot. Built-in reactivity is one of ...

1 Imperial Clinical Trials Unit, School of Public Health, Imperial College London, London, UK 2 Pragmatic Clinical Trials Unit, Centre for Evaluation and Methods, Wolfson Institute of Population ...

Alluvial diagrams use stacked bar plots and variable-width ribbons to represent multi-dimensional or repeated-measures data comprising categorical or ordinal variables (Bojanowski & Edwards, 2016; ...

Monomethylation on lysine 4 of histone H3 (H3K4me1) is commonly associated with distal enhancers, but H3K4me1 is also present at promoter regions proximal to transcription start sites. To assess a ...