Data Visualisation with R

You are on the course page for Data Visualisation, taught in the Master 2 programme in Economics at Aix Marseille School of Economics (Aix-Marseille Université). This course is intended for students enrolled in the Data, Analysis, Decisions and Economic Evaluation track track.

Aix Marseille University · Master in Economics

Materials

The slides (only a few chapters are available for now):

Chapter	Slides
Introduction
1. Crash Course on R for Data Science
2. Data Wrangling with {dplyr} and {tidyr}
3. Visualisation with {ggplot2}
4. Exploring Distributions, From Data to Predictions
5. Comparing Groups	Coming soon
6. Maps	Coming soon
7. Reports with Quarto	Coming soon
8. Dashboard with Shiny	Coming soon

Learning Objectives

By the end of the course, students will be able to:

• Prepare and transform data for visual analysis.
• Create clear and effective visualisations using R.
• Explore distributions and compare groups.
• Produce maps and interactive visualisations.
• Communicate results through reproducible reports and interactive dashboards.

Syllabus

This course introduces the principles and tools of data visualisation using R. Students will learn how to prepare, explore, and communicate data effectively through static and interactive visualisations, maps, reports, and dashboards.

Practical info

Logistics

The course consists of 8 classes, each lasting 3 hours.

Prerequisites

Students are expected to have a basic knowledge of R and fundamental programming concepts. However, no advanced prior experience is required. A dedicated session will be devoted to refreshing and consolidating the key concepts covered in the Introduction to Programming for Data Analysis course taken in the previous year.