May 2019
Beginner to intermediate
266 pages
5h 57m
English
Content preview from Hands-On Exploratory Data Analysis with R
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What this book covers
Chapter 1, Setting Up Our Data Analysis Environment, introduces the overall goal of this book. This chapter stipulates how exploratory data analysis benefits business and has a significant impact across almost all verticals.
Chapter 2, Importing Diverse Datasets, demonstrates practical, hands-on code examples on reading in all kinds of data into R for exploratory data analysis. This chapter also covers how to use advanced options while importing datasets such as delimited data, Excel data, JSON data, and data from web APIs.
Chapter 3, Examining, Cleaning, and Filtering, introduces how to identify and clean missing and erroneous data formats. This chapter also covers concepts such as data manipulation, wrangling, and ...
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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.