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Table of Contents
Introduction - Getting Started with Data Cleaning
Chapter 1 - Rows and Columns: The Building Blocks of Data Cleaning
Chapter 2 - Run Quick Data Checks
Chapter 3 - Check Different Question Types
Chapter 4 - Deal with Missing Data
Chapter 5 - Handle Outlier Detection
Chapter 6 - Tackle Conditional Questions
Chapter 7 - Join, Delimit, or Concatenate Data
Chapter 8 - Case Study: Cleaning Data from a Paper-Based Survey
Exercise Solutions
Summary
Data Cleaning is a free resource provided by The Ultimate Guide ToSocialCops, a data intelligence company focused on solving critical problems with data. The document covers various aspects of data cleaning including organizing survey questions, identifying unique IDs, and performing data checks. It emphasizes the importance of ensuring data completeness and correctness before analysis. The chapters provide insights on structuring data into rows and columns, running quick data checks, handling missing data, outlier detection, and more. The book also includes exercises and a case study to enhance learning. The content highlights the significance of data cleaning in enabling accurate and reliable data analysis.