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 listed some of the various packages that are available for reading in various kinds of attributes within the mentioned dataset in R. There are a lot of different options, and even the options we have listed have a wide functionality, which we are going to cover and use as we go further in the book. We learned how to reshape and tidy the erroneous data, along with manipulating and mutating it. By the end of the chapter, we learned how to clean the time series data.
In the next chapter, we will learn to visualize data graphically using the ggplot2 package. We will also demonstrate how to draw different kinds of plots and charts, such as scatter plots, histograms, probability plots, residual plots, box plots, and ...
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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.