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 ejercicio forma parte del curso

Scaling and Optimizing Data Pipelines with Polars

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Instrucciones del ejercicio

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

ejercicio interactivo práctico

Prueba este ejercicio completando este código de ejemplo.

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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