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Swap your SIM card

Great job so far! You were able to reshape your dataset in several ways. Now it's time to go a step further and analyze the data to discover if a customer's cell phone plan is related to the customer leaving.

You explore the churn dataset and notice that the row levels are not well organized. First, you want to rearrange your row indicesso it's easier to reshape your DataFrame.

The churn DataFrame is available for you. It contains data about minutes, voicemail, and data plans for different years. The data is indexed by state, city, and exited status. Make sure to examine it in the console!

Diese Übung ist Teil des Kurses

Reshaping Data with pandas

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Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# Switch the first and third row index levels in churn
churn_swap = ____.____(____, ____)

# Print churn_swap
print(churn_swap)
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