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
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)