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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!

Deze oefening maakt deel uit van de cursus

Python for Spreadsheet Users

Cursus bekijken

Oefeninstructies

  • 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.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# 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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