This is a 8-part quick course in data visualization using R.

Graphical Abstract

• Author: Chenxin Li, Ph.D., Assistant Professor at Department of Plant Biology, Michigan State University.
• Contact: lichen27@msu.edu | @chenxinli2.bsky.social

Browse lessons using an internet browser

1. Navigate to Quick_data_vis/Lessons/
2. Click on any .md files
3. GitHub will render a nice html

Content

This repository has 8 activities:

1. Very bascis of R coding
2. Introduction to tidy data frames
3. Introduction to data visualization using ggplot
4. Introduction to mean separation
5. Introduction to proportional data
6. Introduction to heatmaps
7. Introduction to relationship data and networks
8. Introduction to plot composition/assembly

Required software:

• R: R Download
• RStudio: RStudio Download
• rmarkdown can be installed using the intall packages interface in RStudio.

Getting started

1. Clone the repository to your machine by downloading the zip file.
2. Unzip and move folder to whichever location you like on your machine.
3. Open RStudio.
4. Open .Rmd files under the Scripts folder.
5. Enjoy!