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.

Este exercicio faz parte do curso

Scaling and Optimizing Data Pipelines with Polars

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Instruções do exercicio

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

exercicio interativo prático

Tente este exercicio completando este código de exemplo.

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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