October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Correlation
The statistical dependence that's expressed in a correlation relationship does not imply a causal relationship between the two variables; the famous line regarding this is correlation does not imply causation. Thus, the correlation between two variables or datasets implies just a casual rather than a causal relationship or dependence. For example, there is a correlation between the amount of ice cream purchased on a given day and the weather.
For more information on correlation and dependency, refer to http://en.wikipedia.org/wiki/Correlation_and_dependence.
The correlation measure, known as the correlation coefficient, is a number that describes the size and direction of the relationship between the two variables. It can vary ...
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