January 2024
Beginner
672 pages
18h 58m
English
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13 More with Gini coefficients and Lorenz curves
This chapter covers
- Working (again) with Gini coefficients
- Creating alternative Lorenz curves
- Running significance tests (t-tests and F-tests)
- Running other effect size tests (aside from Cohen’s d)
- Writing
forloops - Writing user-defined functions
It’s true that we’re going to again compute Gini coefficients, plot inequality by drawing Lorenz curves, perform more significance testing, and conduct additional effect size tests to complement our t-tests—but there’s a lot of new material packed into this chapter too:
-
We’ll demonstrate how to intelligently plot multiple Lorenz curves with the least amount of code. You’ll learn how to plot two Lorenz curves in the same plot to compare two Gini coefficients ...
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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.
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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.