[PDF.61aq] Clean Data - Data Science Strategies for Tackling Dirty Data

Clean Data - Data Science Strategies for Tackling Dirty Data

[PDF.py56] Clean Data - Data Science Strategies for Tackling Dirty Data

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 | #960265 in Books |  2015-05-29 |  2015-05-25 | Original language:English | PDF # 1 |  9.25 x.62 x7.50l,1.04 | File type: PDF | 267 pages

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||7 of 7 people found the following review helpful.| Poor|By Dimitri Shvorob|You cannot blame an academic for trying to get extra mileage out of research project where she did some PHP/Python/MySQL coding and get a "book" on one's CV, but this particular outcome leaves a bad taste.

Most obviously, the title is a lie, as the book is not about data cleaning, but about data extraction, primarily web scraping. Invocations|About the Author||Megan Squire |Megan Squire is a professor of computing sciences at Elon University. She has been collecting and cleaning dirty data for two decades. She is also the leader of FLOSSmole.org, a research project to collect data and analyze

Key Features

• Grow your data science expertise by filling your toolbox with proven strategies for a wide variety of cleaning challenges
• Familiarize yourself with the crucial data cleaning processes, and share your own clean data sets with others
• Complete real-world projects using data from Twitter and Stack Overflow

Book Description

Is much of your time spent doing tedious tasks such as cleaning dirty data, accounting fo...

You can specify the type of files you want, for your device.Clean Data - Data Science Strategies for Tackling Dirty Data   |  Megan Squire.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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