Binning streams into tiers

Now that you know the popularity distribution, leadership wants to categorize albums by total streams using fixed thresholds rather than quantiles. This ensures tier definitions stay consistent as new data arrives. The Spotify dataset now includes a streams_billions column. Bin albums into three tiers with breaks at 2.5 and 4.0 billion streams.

polars is loaded as pl. The DataFrame spotify is available with a streams_billions column.

This exercise is part of the course

Data Transformation with Polars

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Exercise instructions

Bin streams_billions into three tiers with breaks at 2.5 and 4.0.
Add the third label "blockbuster" for albums above 4.0 billion streams.

Hands-on interactive exercise

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

# Bin streams_billions into three labeled bands
result = spotify.with_columns(
    pl.col("streams_billions")
    .____(
        breaks=[____, ____],
        labels=["emerging", "established", "____"],
    )
    .alias("stream_band")
)

print(result.head())

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