May 2019
Beginner to intermediate
266 pages
5h 57m
English
Content preview from Hands-On Exploratory Data Analysis with R
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Importing Diverse Datasets
This chapter will demonstrate practical, hands-on code examples that show how to handle converting all kinds of data into R for EDA. Here, we will cover how to use advanced options while importing datasets such as delimited data, Excel data, JSON data, and data from web APIs. It will cover the powerful R packages that are needed to work with various data formats.
The following topics will be covered in this chapter:
- Converting all kinds of delimited datasets into R packages using the readr package
- Using advanced options for reading in Excel data
- Learning how to use the jsonlite package to read JSON in R data structures
- Understanding how to use the httr package to read data into R from web APIs
- Getting data into ...
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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.