October 2023
Beginner
516 pages
12h 12m
English
Content preview from The Statistics and Machine Learning with R Workshop
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5
Exploratory Data Analysis
The previous chapter covered the basic plotting principles using ggplot2, including the use of various geometries and themes layers. It turns out that cleaning and massaging the raw data (covered in Chapter 2 and Chapter 3) and visualizing the data (covered in Chapter 4) belong to the first stage of a typical data science project workflow – that is, exploratory data analysis (EDA). We will cover this using a few case studies in this chapter. We will learn how to apply the coding techniques we covered earlier in this book and focus on analyzing the data through the lens of EDA.
By the end of this chapter, you will know how to uncover the structures of data using numerical and graphical techniques, discover interesting ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.