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.

本练习是课程的一部分

Data Transformation with Polars

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练习说明

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.

交互式实操练习

通过完成这段示例代码来试试这个练习。

# 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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