Custom summaries with describe

To wrap up your analysis of the Spotify dataset, leadership needs a summary that matches their reporting thresholds. Generate statistics for popularity and monthly_listeners with custom percentiles at 10%, 50%, and 90% to capture the full distribution.

polars is loaded as pl. The DataFrame spotify is preloaded for you.

This exercise is part of the course

Data Transformation with Polars

View Course

Exercise instructions

Select the popularity and monthly_listeners columns.
Generate a summary with percentiles at 0.10, 0.50, and 0.90.

Hands-on interactive exercise

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

# Create a summary with custom percentiles
result = spotify.select("____", "____").____(
    percentiles=[____, 0.50, 0.90]
)

print(result)

Edit and Run Code