Book

Python Data Cleaning Cookbook

The book shows you how to view data from multiple perspectives, including data frame and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations. You will learn to manipulate data and get them down to a form that can be useful for making the right decisions.

Offered by

Difficulty Level

Intermediate

Completion Time

14h32m approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 14h32m total length

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

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