May 2019
Beginner to intermediate
266 pages
5h 57m
English
Content preview from Hands-On Exploratory Data Analysis with R
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Summary
In this chapter, we have focused on the implementation of all libraries of a multivariate dataset that is strongly linked to time series creation. The best illustration is to check the parameters of Longley's Economic Regression Data and parsimonious models for creating accuracy fit models. We have listed some of the various packages that are available for reading in various kinds of attributes within the dataset mentioned previously in R. There are lots of different options and even the options we have listed have a wide functionality that we are going to cover and use as we go further into this book.
In the next chapter, we will introduce a multi-factor dataset and explain how to use exploratory data analysis techniques to analyze ...
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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.