Summary
Chapters
Video Info
Supplementary material
Matt Denny reviews common errors found in messy data and ways to address them.
-
Chapter 1: Carefully Look Over Your Data!
icon angle down -
Chapter 2: Checking the Data Variable Type for Discrepancies
icon angle down -
Chapter 3: Using the "unique()" and the "as.numeric()" Functions
icon angle down -
Chapter 4: Checking for Bad Numbers: NaNs, NAs, and Null Values
icon angle down -
Chapter 5: Splitting Cell Data with Multiple Values into Individual Columns in a New Data Frame and Binding the Two Data Frames Together
icon angle down -
Chapter 6: Splitting the Data Frame into Two Subsets
icon angle down