March 2020
Beginner to intermediate
352 pages
8h 40m
English
Content preview from Hands-On Exploratory Data Analysis with Python
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Correlation
In this chapter, we will explore the correlation between different factors and estimate to what degree these different factors are reliable. Additionally, we will learn about the different types of examinations we can carry out in order to discover the relationship between data including univariate analysis, bivariate analysis, and multivariate analysis. We will perform these analyses using the Titanic dataset. We'll also introduce Simpson's paradox. Likewise, we will take an insightful look at the well-known fact that correlation does not imply causation.
In this chapter, we will cover the following topics:
- Introducing correlation
- Understanding univariate analysis
- Understanding bivariate analysis
- Understanding multivariate ...
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