Calculate spend quartiles (q=4)

We have created a dataset for you with random CustomerID and Spend values as data. You will now use this dataset to group customers into quartiles based on Spend values and assign labels to each of them.

pandas library as been loaded as pd. Feel free to print the data to the console.

Este exercício faz parte do curso

Customer Segmentation in Python

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Instruções do exercício

Create a spend quartile with 4 groups - a range between 1 and 5.
Assign the quartile values to the Spend_Quartile column in data.
Sort data based on the Spend values and print the result.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Create a spend quartile with 4 groups - a range between 1 and 5
spend_quartile = pd.____(data['Spend'], q=____, labels=range(1,____))

# Assign the quartile values to the Spend_Quartile column in data
data['____'] = spend_quartile

# Print data with sorted Spend values
print(____.sort_values(____))

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