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.
Questo esercizio fa parte del corso
Data Transformation with Polars
Istruzioni dell'esercizio
- Select the
popularityandmonthly_listenerscolumns. - Generate a summary with percentiles at 0.10, 0.50, and 0.90.
esercizio interattivo pratico
Prova questo esercizio completando questo codice di esempio.
# Create a summary with custom percentiles
result = spotify.select("____", "____").____(
percentiles=[____, 0.50, 0.90]
)
print(result)