- STAFF PICKS
- GIFTS + GIFT CARDS
- SELL BOOKS
- FIND A STORE
New Trade Paper
Ships in 1 to 3 days
More copies of this ISBN
Bad Data Handbook: Cleaning Up the Data So You Can Get Back to Workby Q. Ethan. Mccallum
Synopses & Reviews
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 theyve recovered from nasty data problems.
From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it.
Among the many topics covered, youll discover how to:
Even if you're relatively new to the data science field, you've likely encountered your share of bad data: missing values and arcane file formats are rather pedestrian matters. But those are just the beginning. The idea of bad data is an ecosystem unto itself, that also includes mismatches in character set, data that changes behind your back, and data you don't know how to handle on your own.
In short, bad data is data that gets in the way.
In the Bad Data Handbook, Q. Ethan McCallum gathers cast of authors to explore the wide variety of data headaches, including:
Welcome to data sciences 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.
Its 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.
About the Author
Q Ethan McCallum is a consultant, writer, and technology enthusiast, though perhaps not in that order. His work has appeared online on The OReilly Network and Java.net, and also in print publications such as C/C++ Users Journal, Doctor Dobbs Journal, and Linux Magazine. In his professional roles, he helps companies to make smart decisions about data and technology.
Table of Contents
What Our Readers Are Saying
Other books you might like
Computers and Internet » Computers Reference » Beginning and Reference