e-learning
Data visualisation Olympics - Visualization in R
Abstract
In this tutorial, you will learn how to produce scatter plots, boxplots, and time series plots using ggplot. You will also learn how to set universal plot settings, modify the aesthetics of an existing ggplot plots (including axis labels and color), and learn how to facet in ggplot.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How does plotting work in R?
- How can I facet plots?
- How do I produce a nice, publication ready plot with ggplot2?
Learning Objectives
- Produce scatter plots, boxplots, and time series plots using ggplot.
- Set universal plot settings.
- Describe what faceting is and apply faceting in ggplot.
- Modify the aesthetics of an existing ggplot plot (including axis labels and color).
- Build complex and customized plots from data in a data frame.
Licence: Creative Commons Attribution 4.0 International
Keywords: Foundations of Data Science, R, cyoa, jupyter-notebook, rmarkdown-notebook
Target audience: Students
Resource type: e-learning
Version: 3
Status: Active
Learning objectives:
- Produce scatter plots, boxplots, and time series plots using ggplot.
- Set universal plot settings.
- Describe what faceting is and apply faceting in ggplot.
- Modify the aesthetics of an existing ggplot plot (including axis labels and color).
- Build complex and customized plots from data in a data frame.
Date modified: 2024-05-07
Date published: 2023-06-16
Contributors: Helena Rasche, Saskia Hiltemann
Scientific topics: Software engineering
Activity log
