In the real-world data is often messy, consisting of missing values, or containing too much information. In some cases, data must be transformed before performing statistical tests. However, directly manipulating our original data files is dangerous because we risk corrupting the information we’ve gathered by accidentally deleting the wrong columns, or applying incorrect filters. Instead of taking this risk, come see how R can be used to clean your data.
Topics covered will include:
- importing/exporting data
- interpreting dates in R
- sub setting,
- merging datasets
- finding/replacing values
Note: Please bring your own fully charged laptop with the latest version of R and RStudio installed.
Audience