Investigate the data

Great work so far! Now you know the key techniques to explore and prepare datasets for supervised machine learning models. You will now test your knowledge in practice. In this exercise, you will explore the key characteristics of the telecom churn dataset. You should run each line separately before submitting the assignment so you get valuable information about the dataset. The pandas module has been loaded for you as pd.

The raw telecom churn dataset telco_raw has been loaded for you as a pandas DataFrame. You can familiarize yourself with the dataset by exploring it in the console.

This exercise is part of the course

Machine Learning for Marketing in Python

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Exercise instructions

Print the data types of telco_raw.
Print the header of telco_raw.
Print the number of unique values in each telco_raw column.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Print the data types of telco_raw dataset
print(telco_raw.___)

# Print the header of telco_raw dataset
print(telco_raw.___())

# Print the number of unique values in each telco_raw column
print(telco_raw.___())

Edit and Run Code