March 2020
Beginner to intermediate
352 pages
8h 40m
English
Content preview from Hands-On Exploratory Data Analysis with Python
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Summary
Grouping data into similar categories is an essential operation in any data analysis task. In this chapter, we discussed different grouping techniques, including groupby mechanics, rearranging, reshaping data structures, data aggregation methods, and cross-tabulation methods. In addition to this, we also checked various examples for each case.
In the next chapter, we are going to learn about correlation, which describes how two or more variables can be related. In addition to this, we will look at different types of correlation techniques and their applications with suitable examples.
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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.