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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Databases Database design & theory

• Full title: Bad Data Handbook
• Author: Q Ethan McCallum
• Language: English
• Binding: Paperback
• Number of pages: 250
• EAN: 9781449321888
• ISBN: 1449321887
• ID: 01217781
• Publisher: O'Reilly Media, Inc, USA
• Weight: 482 g
• Dimensions: 231 × 178 × 14 mm
• Date of publishing: 20. November 2012

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