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
Language
English
About Book
Who Is This Book For?
This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean and manage data. Working knowledge of Python programming is all you need to get the most out of the book.
Python Data Cleaning Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h32m total length
Anticipating Data Cleaning Issues when Importing Tabular Data into pandas
Anticipating Data Cleaning Issues when Importing HTML and JSON into Pandas
Taking the Measure of Your Data
Identifying Issues in Subsets of Data
Using Visualizations for Exploratory Data Analysis
Cleaning and Wrangling Data with Pandas Data Series Operations
Fixing Messy Data When Aggregating
Addressing Data Issues When Combining Data Frames
Tidying and Reshaping Data
User Defined Functions and Classes to Automate Data Cleaning
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