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Chapter 1: Anticipating Data Cleaning Issues when Importing
Tabular Data into pandas
Chapter 2: Anticipating Data Cleaning Issues when Importing
HTML and JSON into pandas
Chapter 3: Taking the Measure of Your Data
Chapter 4: Identifying Missing Values and Outliers in Subsets
of Data
Chapter 5: Using Visualizations for the Identification of
Unexpected Values
Chapter 8: Addressing Data Issues When Combining
DataFrames
Chapter 10: User-Defined Functions and Classes to Automate
Data Cleaning
