Putting it all together

In the previous exercises, you defined a function create_pig_table that, given a basetable and a predictor, creates a predictor insight graph table for this predictor:

pig_table = create_pig_table(basetable,target,variable)

Next, you wrote a function plot_pig that plots the predictor insight graph based on this predictor insight graph table

plot_pig(pig_table, variable)

Often, you want to make many predictor insight graphs at once. In this exercise, you will learn how to automatically do this using a for loop.

Cet exercice fait partie du cours

Introduction to Predictive Analytics in Python

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Instructions

For each variable in variables, create a predictor insight graph table. The basetable is loaded in basetable.
For each variable in variables, plot the predictor insight graph.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Variables you want to make predictor insight graph tables for
variables = ["income","gender","disc_mean_gift","disc_time_since_last_gift"]

# Loop through the variables
for variable in variables: 
    
    # Create the predictor insight graph table
    pig_table = ____(____, "target", variable)
    
    # Plot the predictor insight graph
    ____(____, variable)

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