Yair Haendler (LLF)
Data manipulation and visualization using R
Topics:
- Reading data into R.
- Manipulation of data frames (using tidyverse).
- Definition of variables; distinction between various types of variables.
- Summary statistics.
- Data visualization.
- Types of graphs.
- Choice of the type of plot.
- Choice of error bars.
- How to arrange the variables on the plot in a meaningful way.
Requisites: Previous experience with R (or with other programming languages) is an advantage. For a quick free introductory R course.