Bad Data Handbook by Q. Ethan McCallum
Cleaning Up The Data So You Can Get Back To Work

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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 analysisWork spreadsheet data into a usable formHandle encoding problems that lurk in text dataDevelop a successful web-scraping effortUse NLP tools to reveal the real sentiment of online reviewsAddress cloud computing issues that can impact your analysis effortAvoid policies that create data analysis roadblocksTake a systematic approach to data quality analysis

About Q. Ethan McCallum

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Q Ethan McCallum is a consultant, writer, and technology enthusiast, though perhaps not in that order. His work has appeared online on The O'Reilly Network and, and also in print publications such as C/C++ Users Journal, Doctor Dobb's Journal, and Linux Magazine. In his professional roles, he helps companies to make smart decisions about data and technology.
Published November 7, 2012 by O'Reilly Media. 264 pages
Genres: Computers & Technology, Education & Reference. Non-fiction

Unrated Critic Reviews for Bad Data Handbook

BC Books

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Bad Data Handbook does a coverage of sources of bad data and how to deal with it in different contexts.

Mar 30 2013 | Read Full Review of Bad Data Handbook: Cleaning U...

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