Articles, tutorials and R packages on network analysis and sports data visualisation

Une collection de plusieurs centaines de graphiques, organisés par section et présentés avec leur code reproductible.

Version modernisée de la publication *Introduction à R*, qui propose une introduction à plusieurs de ces extensions (*ggplot2*, *dplyr*, *tidyr*, *readr*, *readxl*, *haven*, *forcats*, *stringr*, *R Markdown*).

This book is designed to be used in conjunction with the course sequence Mastering Software Development in R, available on Coursera

This tutorial explores how scholars can organize ‘tidy’ data, understand R packages to manipulate data, and conduct basic data analysis. Lesson from [The Programming Historian](https://programminghistorian.org/)

This paper explores three different approaches to visualize networks by building on the grammar of graphics framework implemented in ggplot2.

Import, Tidy, Transform, Visualize, and Model Data

Blog on data visualization. The author is involved in several reference R packages (ggplot2, gganimate, ggraph, tidygraph...)

This book covers the essential exploratory techniques for summarizing data

This book is about the fundamentals of R programming