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
In this chapter, we discussed correlation. Correlation is a statistical measure that can be used to inspect how a pair of variables are related. Understanding these relationships can help you to decide the most important features from a set of variables. Once we understand the correlation, we can use it to make better predictions. The higher the relationship between the variables, the higher the accuracy of the prediction. Since correlation is of higher importance, in this chapter, we have covered several methods of correlation and the different types of analysis, including univariate analysis, bivariate analysis, and multivariate analysis.
In the next chapter, we will take a closer look at time series analysis. We will use several ...
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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.