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Movie genre performance by location

Using our new techniques, we can now create more useful tables to inform our analyses.

For our sales data, we can condense our 1,000+ rows of transactions down to a few handfuls of rows to answer questions like "what genres do well in each market?" or "what movies do seniors like best?"

Let's answer the question about genres first!

Diese Übung ist Teil des Kurses

Python for Spreadsheet Users

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Anleitung zur Übung

  • Create a list that contains column names theater_location and movie_genre and assign it to a variable groups.
  • Use .groupby() and .sum() with the proper arguments to create the by_location_genre summary table.
  • Print by_location_genre to the console.

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# Create a list of groups to group by


# Create summary table of genres and locations
by_location_genre = sales.____(____, as_index=False).____()

# Print the summary table
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