Book Image

Clean Data

By : Megan Squire
Book Image

Clean Data

By: Megan Squire

Overview of this book

<p>Is much of your time spent doing tedious tasks such as cleaning dirty data, accounting for lost data, and preparing data to be used by others? If so, then having the right tools makes a critical difference, and will be a great investment as you grow your data science expertise.</p> <p>The book starts by highlighting the importance of data cleaning in data science, and will show you how to reap rewards from reforming your cleaning process. Next, you will cement your knowledge of the basic concepts that the rest of the book relies on: file formats, data types, and character encodings. You will also learn how to extract and clean data stored in RDBMS, web files, and PDF documents, through practical examples.</p> <p>At the end of the book, you will be given a chance to tackle a couple of real-world projects.</p>
Table of Contents (17 chapters)
Clean Data
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Credits

Author

Megan Squire

Reviewers

J. Benjamin Cook

Richard A. Denman, Jr.

Oskar Jarczyk

Commissioning Editor

Akram Hussain

Acquisition Editor

Harsha Bharwani

Content Development Editor

Mamata Walkar

Technical Editor

Nilesh Mangnakar

Copy Editors

Puja Lalwani

Aditya Nair

Stuti Srivastava

Project Coordinator

Shipra Chawhan

Proofreaders

Stephen Copestake

Safis Editing

Indexer

Priya Sane

Production Coordinator

Shantanu N. Zagade

Cover Work

Shantanu N. Zagade