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Bad Data Handbook

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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.


On Nov 2 Peter Clark wrote: Real-world anecdotes and lessons-learned
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  >

Rating: StarStarStarStarStar4.0

On Dec 3 Yanyo de Leon wrote:
Full Review  >

Rating: StarStarStarStarStar4.0

On Nov 29 Shawn Day wrote: Taming Bad Data
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  >

Rating: StarStarStarStarStar4.0

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