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.

Cet exercice fait partie du cours

Customer Segmentation in Python

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Instructions

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.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# 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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