Media praise for Bad Data Handbook

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"Bad data is a fact of life that we need to deal with on a regular basis. This book helps IT professionals identify problems and suggest new ways to eliminate data quality issues."
-- David H., Reading Room Reviews

"The book is recommended for basic to advanced data analysis engineers and scientists for its coverage of wide range of bad data sources and suggesting methods to work on it for useful purposes."
-- Ganadeva Bandyopadhyay, http://blogcritics.org/, Sr. Oracle DBA

"There are some great bits of wisdom in here, but it tries to be a little too broad. If you approach it looking for an adjustment in your perspective, rather than as a how-to manual, you'll get more out of it." Full Review >
-- Cavendish McKay, www.tachycline.com

"TL;DR: awesome book. If you work with real-world datasets, or you work with people who do, you owe it to yourself to read this book. I wish it had been around 8 years earlier when I started working with large-scale social sciences census data." Full Review >
-- Peter Clark, blog.pclark.net

"This is an intriguing book. It looks at the down and dirty manipulation and munging of data, then takes higher level looks at how we might mistake information for solid data. It suggests how to apply good techniques, to the identification or potential problems, suggests how one can use sound statistical reasoning, interrogate the data model or delve into code based manipulation in the pursuit of more truthful data." Full Review >
-- Shawn Day, shawnday.com/randomosity