Overview
In research, a significant amount of effort is spent cleaning data to get it ready for visualisation and analysis. This course will teach you how to convert your messy dataset into tidy data using R for easy data visual exploration and analysis.
For this, you will be introduced to the concept of tidy data, and guided through the programmatic steps in R required to structure datasets according to its principles. Additionally, we will show how tidy data works well together with graphical functions of the R package {ggplot2} thus facilitating initial exploration and analysis of the data. Finally, a “bring-your-own-data day” (optional day 3) will allow a smaller group of participants to obtain individual feedback and consulting on how to tidy up and visually inspect their own research datasets.
Programme
Day 1 | Introduction to data wrangling
- Raw and processed data
- Components of tidy data
- Messy datasets
- Converting messy data to tidy data using tidyverse packages
- Hands-on exercises.
Day 2 | Visualising tidy data using ggplot2
- Understanding how tidy data translates to graphics’ aesthestics
- Plotting with one geom
- Combining several geoms
- Theming
- Saving graphs
- Hands-on exercises.
Day 3 | Bring your own data day
Individual consulting for data wrangling and visual exploration.