(Download) Clean Data - Data Science Strategies for Tackling Dirty Data
• Megan Squire •
| #1816110 in Books | 2015-05-29 | 2015-05-25 | Original language:English | PDF # 1 | 9.25 x.62 x7.50l,1.04 | File Name: 1785284010 | 267 pages
||8 of 8 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 f...
[PDF.pu16] Clean Data - Data Science Strategies for Tackling Dirty Data Rating: 3.63 (615 Votes)
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You easily download any file type for your device.Clean Data - Data Science Strategies for Tackling Dirty Data | Megan Squire. Just read it with an open mind because none of us really know.
