Learn data science basics with the interactive tutorials

Module 2 « Préparation des données ». Formations R aux MTES & MCTRCT.

This site is about everything that comes up during data analysis except for statistical modelling and inference

Updated version of a blog entry called *Beautiful plotting in R - A ggplot2 cheatsheet* by Zev Ross

Materials of web scraping workshop carried out as part of the summer school 2018 of the LabEx DynamITe

Pratique de l'analyse statistique univariée et bivariée (notions de probabilités/statistiques et introduction aux modèles statistiques)

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 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 book covers the essential exploratory techniques for summarizing data

This book is about the fundamentals of R programming