Python Machine Learning Blueprints - Second Edition

Visualization

So far, we have seen how to select portions of a DataFrame and how to get summary statistics from our data, but let's now move on to learning how to visually inspect the data. But first, why even bother with visual inspection? Let's see an example to understand why.

Here is the summary statistics for four distinct series of x and y values:

Series of x and y	Values
Mean of x	9
Mean of y	7.5
Sample variance of x	11
Sample variance of y	4.1
Correlation between x and y	0.816
Regression line	y = 3.00 + 0.500x

Based on the series having identical summary statistics, you might assume that these series would appear visually similar. You would, of course, be wrong. Very wrong. The four series ...