- Softcover
- New

Seller: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
AbeBooks seller since June 20, 2025
Condition: New
£ 35.87
Quantity: Over 20 available
Add to basketItem description from seller
Welcome to data science's dirty secret: real-world data is messy. Data scientists must spend a good deal of time playing software developer, writing code to clean up data before they can actually do anything constructive with it. It's a necessary evil, but you can still make the most of it. This practical book walks you through several real-world examples to demonstrate the theory and practice behind working with and cleaning up dirty data. No one tool solves all of the problems well. Wise data scientists learn many tools and learn where each one shines. To that end, this book takes a polyglot approach: most examples will involve R and Python, but expect the occasional smattering of Groovy and sed/awk fun.
Seller Inventory # LU-9781449321888
- Title
- Bad Data Handbook
- Author
- Q. Ethan Mccallum
- Publisher
- O'Reilly Media, US
- Publication year
- 2012
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1449321887
- ISBN 13
- 9781449321888
- Edition
- Illustrated.
- Dimensions
- 17.78 x 1.45 x 23.34 cm
What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they've recovered from nasty data problems.
From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it.
Among the many topics covered, you'll discover how to:
- Test drive your data to see if it's ready for analysis
- Work spreadsheet data into a usable form
- Handle encoding problems that lurk in text data
- Develop a successful web-scraping effort
- Use NLP tools to reveal the real sentiment of online reviews
- Address cloud computing issues that can impact your analysis effort
- Avoid policies that create data analysis roadblocks
- Take a systematic approach to data quality analysis
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Rarewaves USA United
HEBRON, KY, U.S.A.
AbeBooks seller since June 20, 2025
Shipping rates within U.S.A.
| Item | 30 to 30 business days | 14 to 14 business days |
|---|---|---|
| First item | £ 36.92 | £ 49.47 |
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Rarewaves USA
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