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Apache Spark 2.x Cookbook
book

Apache Spark 2.x Cookbook

by Rishi Yadav
May 2017
Intermediate to advanced
294 pages
7h 33m
English
Packt Publishing
Content preview from Apache Spark 2.x Cookbook

Calculating correlation

Correlation is a statistical relationship between two variables such that when one variable changes, it leads to a change in the other variable. Correlation analysis measures the extent to which the two variables are correlated. We see correlation in our daily life. The height of a person is correlated with the weight of a person, the load carrying capacity of a truck is correlated with the number of wheels it has, and so on. 

If an increase in one variable leads to an increase in another, it is called a positive correlation. If an increase in one variable leads to a decrease in the other, it is a negative correlation.

Spark supports two correlation algorithms: Pearson and Spearman. The Pearson algorithm works with ...

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Publisher Resources

ISBN: 9781787127265