Data Untangled: Transforming and Cleaning Data with dplyr

This course builds on the foundation established in the R foundations course by diving deeper into working with data frames. You will gain hands-on practice selecting, filtering, arranging, renaming, and mutating columns to prepare raw data for statistical analysis and visualization.
Topics covered include:
  • Selecting specific columns or rows of a data frame based on names, positions, or logical conditions
  • Filtering out unwanted observations or variables
  • Creating new variables through mathematical operations or recombination of existing variables
  • Handling missing data by dropping, replacing, or imputing values
  • Grouping rows by a variable and calculating summary statistics for each group
  • Reshaping data between wide and long formats