November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Munging and wrangling
The terms munging and wrangling are buzzwords or jargon meant to describe one's efforts to affect the format of data, recordset, or file in some way in an effort to prepare the data for continued or otherwise processing and/or evaluations.
With data development, you are most likely familiar with the idea of Extract, Transform, and Load (ETL). In somewhat the same way, a data developer may mung or wrangle data during the transformation steps within an ETL process.
Common munging and wrangling may include removing punctuation or HTML tags, data parsing, filtering, all sorts of transforming, mapping, and tying together systems and interfaces that were not specifically designed to interoperate. Munging can also describe ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.