Summarizing digital checkouts

The reporting team needs the total number of digital checkouts by material type for this week's summary. Build the entire pipeline lazily and call .collect() only at the very end so Polars can plan the whole query at once.

Latihan ini merupakan bagian dari kursus

Scaling and Optimizing Data Pipelines with Polars

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Instruksi latihan

Filter library to rows where use is "Digital".
Group the filtered rows by format.
Trigger execution at the very end of the pipeline.

Latihan interaktif langsung praktik

Cobalah latihan ini dengan melengkapi kode contoh ini.

result = (
    library
    # Filter to digital checkouts
    .filter(pl.col("use") == "____")
    # Group by format
    .group_by("____")
    .agg(pl.col("checkouts").sum().alias("total"))
    .sort("total", descending=True)
    # Trigger execution at the end
    .____()
)
print(result)

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