July 2016
Beginner to intermediate
462 pages
9h 14m
English
Content preview from Python Data Analysis Cookbook
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Highlighting data points with influence plots
Influence plots take into account residuals after a fit, influence, and leverage for individual data points similar to bubble plots. The size of the residuals is plotted on the vertical axis and can indicate that a data point is an outlier. To understand influence plots, take a look at the following equations:
The residuals according to the statsmodels documentation are scaled by standard deviation (2.1). In (2.2), n is the number of observations and p is the number of regressors. We have a so-called
hat-matrix, which is given by (2.3).
The diagonal elements of the hat matrix give the special metric ...
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