March 2021
Beginner to intermediate
498 pages
12h 3m
English
Content preview from Cleaning Data for Effective Data Science
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Closure
What You Know
This book hopes to have shown you a good range of the techniques you will need in preparing data for analysis and modeling. We addressed most of the most common data formats that you will encounter in your daily work. Hopefully, even if you use file or data formats this book could not specifically address, or even did not have the opportunity to mention, the general concepts and principles laid out will still apply. Only some libraries and interface details will vary. Particular formats can have particular pitfalls in the ways they facilitate data errors, but, obviously, data can go bad in numerous ways independent of representations and storage technologies.
Chapters 1, 2, and 3, respectively, looked at tabular, hierarchical, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.