January 2024
Beginner
672 pages
18h 58m
English
Content preview from Statistics Slam DunkBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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2 Exploring data
This chapter covers
- Loading packages
- Importing data
- Wrangling data
- Exploring and analyzing data
- Writing data
This chapter and the next are a package deal—we’ll explore a real data set in this chapter and then get practical implications from the same in chapter 3. An exploratory data analysis (EDA) is a process—or, really, a series of processes—by which a data set is interrogated by computing basic statistics and creating graphical representations of the same. We won’t paint any broad strokes along the way; instead, we’ll focus our analysis on a single variable, a performance metric called win shares, and discover how win shares is associated with the other variables in our data. Our going-in hypothesis in the next chapter will ...
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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.