What is data visualization? Why is it useful? What are exploratory and explanatory analysis? How to pick the right chart?

Lecture | 1h30 | Slides

This lecture showcases about 30 charts that illustrate the most common dataviz bad practices, and discuss workarounds.

Lecture | 1h | Slides

Build basic charts with ggplot2, the most powerful tool for dataviz with R. All basic chart types are covered.

Lecture & Practical & Correction | 4h

Learn the next steps of ggplot2, like annotation, appearance customization, extensions and more.

Practical & Correction | 4h

Build interactive and reproducible reports directly from your R code thanks to R Markdown.

Practical | 2h | Slides

Share your report online thanks to github, and learn the basics of version control and code sharing.

Practical | 2h | Slides

Learn the basics of R and the tidyverse. Loading a file, basic data manipulation, simple stat model and a first chart.

Lecture & practical | 4h

Discover charts like Sankey Diagram, Network graphs, Maps, Treemaps and more. Learn how to build them with R.

Lecture & practical | 4h

Tidyr and Dplyr are 2 packages from the tidyverse allowing to efficiently manipulate your data.

Practical | 4h | Slides

How to represent geospatial information with static or interactive maps with R. Introduces packages like sf and leaflet.

Practical | 4h | Slides

The Html Widgets are a set of R packages allowing to build interactive charts. Allows to zoom in, add tooltip on hover and more.

Practical | 4h | Slides