Python Data Cleaning Cookbook

Table of Contents

1. Anticipating Data Cleaning Issues when Importing Tabular Data into pandas
2. Anticipating Data Cleaning Issues when Importing HTML and JSON into Pandas
3. Taking the Measure of Your Data
4. Identifying Issues in Subsets of Data
5. Using Visualizations for Exploratory Data Analysis
6. Cleaning and Wrangling Data with Pandas Data Series Operations
7. Fixing Messy Data When Aggregating
8. Addressing Data Issues When Combining Data Frames
9. Tidying and Reshaping Data
10. User Defined Functions and Classes to Automate Data Cleaning