Practical Python data wrangling and data quality : getting started with reading, cleaning, and analyzing data

Description

The world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations.

Content

Latest edition,

Preface, 1) Introduction to data wrangling and data quality, 2) Introduction to Python, 3) Understanding data quality, 4) Working with file-based and feed-based data in Python, 5) Accessing web-based data, 6) Assessing data quality, 7) Cleaning, transformning and augmenting data, 8) Structuring and refactoring your code, 9) Introduction to data analysis, 10) Presenting your data, 11) Beyond Python