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: 1. The Building Blocks of Data Cleaning, 2. Run Quick Sanity Checks on Data, 3. Check Different Question Types, 4. Deal with Missing Data, 5. Handle Outlier Detection, 6. Tackle Conditional Questions, 7. Join, Delimit, or Concatenate Data and 8. Case Study: Cleaning Data from a Paper-Based Survey.
Click here to download the eBook (for free).