Archived: Data visualization in R

Description

• This course aims to help researchers to visualize their data in different ways using R. This course will also aim to show researchers how they can make publication grade figures using R.
• A part of this course is also about making interactive plots that the researchers can view and share in a web-server to make interactive visualizations of the data.

Topics covered

• Data wrangling for ggplot
• Barcharts, Boxplots and others in ggplot
• PCA plots in ggplot
• Heatmaps using R packages
• Plotting data on maps in R (optional)
• Handling phylogenetic trees in R (optional)
• Creating simple Rshiny app
• Deploying an example Rshiny app

Learning outcomes

At the end of the course, students should be able to:

• Handle data in R for visualizations
• Apply the grammar efficiently in ggplot to get the desired plot
• Combine different data and/or different plots that are of publication-grade
• Write your own simple Rshiny app
• Deploy Rshiny apps in public servers

Pre-requisites

Requirements for being able to follow the course and to complete computer exercises:

• familiarity with using R and Rstudio
• a computer with a webcam (if online) running R and Rstudio.
• you will be asked to install different R packages necessary for the course prior to the course.

Level

beginner