Cleaning Up The Data So You Can Get Back To Work

By [Author's Name]

Data is essential for any business, but it can also be a huge pain to deal with. If your data is dirty, it can lead to all sorts of problems, from inaccurate reports to wasted time. That's where data cleaning comes in.

Bad Data Handbook: Cleaning Up The Data So You Can Get Back To Work

by Q. Ethan McCallum

4 out of 5

Language	:	English
File size	:	4622 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Print length	:	350 pages
Screen Reader	:	Supported

FREE

Data cleaning is the process of removing errors and inconsistencies from your data. It can be a tedious and time-consuming task, but it's essential for ensuring that your data is accurate and reliable.

In this book, I'll show you how to clean up your data so that you can get back to work faster. I'll cover everything from basic data cleaning techniques to more advanced topics like data validation and normalization.

By the end of this book, you'll have the skills and knowledge you need to clean up your data and get back to work faster.

What's Inside

• A step-by-step guide to data cleaning
• Real-world examples of data cleaning in action
• Tips and tricks for cleaning up even the most complex data sets

Who This Book Is For

This book is for anyone who works with data, regardless of their experience level. Whether you're a data analyst, a data scientist, or a business user, this book will help you improve the quality of your data and get back to work faster.

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Bad Data Handbook: Cleaning Up The Data So You Can Get Back To Work

by Q. Ethan McCallum

4 out of 5

Language	:	English
File size	:	4622 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Print length	:	350 pages
Screen Reader	:	Supported

FREE