Bad Data Handbook: Cleaning Up the Data So You Can Get Back to Work
Language: English
Published by O'Reilly Media, 2012
- Softcover
- Used
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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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. This is a necessary evil, but we can still make the most of it.
Seller Inventory # 00110649478
- Title
- Bad Data Handbook: Cleaning Up the Data So You Can Get Back to Work
- Author
- Q Ethan Mccallum
- Publisher
- O'Reilly Media
- Publication year
- 2012
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1449321887
- ISBN 13
- 9781449321888
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
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World of Books (was SecondSale)
Montgomery, IL, U.S.A.
AbeBooks seller since December 20, 2007
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