In the final section of this chapter, we will learn about computing correlations using pandas and SciPy. We will look at how to use pandas and SciPy to compute correlations in datasets, and also explore some statistical tests to detect correlation.
In this section, I have used Pearson's correlation coefficient, which quantifies how strongly two variables are linearly correlated. This is a unitless number that takes values between -1 and 1. The sign of the correlation coefficient indicates the direction of the relationship. A positive r indicates that as one variable increases, the other tends to increase; while a negative r indicates that as one variable increases, the other tends to decrease. The magnitude indicates ...
