Before you begin analyzing your data, it is crucial to ensure that your data set is complete and correct. This guide shares simple, yet crucial, techniques to help you clean your data effectively.
There are eight chapters in this ebook, each covering a distinct aspect of data cleaning.
The Building Blocks of Data Cleaning
Run Quick Sanity Checks on Data
Check Different Question Types
Deal with Missing Data
Handle Outlier Detection
Tackle Conditional Questions
Join, Delimit, or Concatenate Data
Case Study: Cleaning Data from a Paper-Based Survey