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.

Este ejercicio forma parte del curso

Introduction to Predictive Analytics in Python

Ver curso

Instrucciones del ejercicio

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.

Ejercicio interactivo práctico

Prueba este ejercicio completando el código de muestra.

# 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)

Editar y ejecutar código