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.

Cet exercice fait partie du cours

Data Transformation with Polars

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Instructions

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

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

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

print(result)

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