January 2024
Beginner
672 pages
18h 58m
English
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10 Doing more with ggplot2
This chapter covers
- Creating correlation plots, dot plots, and lollipop charts
- Modifying
ggplot2labels through transformations and concatenations - Enhancing
ggplot2visualizations with legends, annotations, and shapes - Changing
ggplot2colors by groups - Revealing Simpson’s Paradox
Our purpose in this chapter is to quantify and visualize the relationship in the NBA between team payrolls and team accomplishments. Along the way, we’ll demonstrate ways to go above and beyond with the ggplot2 graphics package—by experimenting with unconventional types of plots; by transforming and augmenting axis labels; by adding legends, annotations, and shapes; and by segmenting groups by color. When we visualize data instead of relegating ...
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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.