Final answer:
To analyze data with Python, create lists for your data, print data types, and calculate length, min, max, and sum for a list. Then, use a comparison to evaluate a specific condition regarding international sales.
Step-by-step explanation:
To analyze data using Python, you can follow these steps:
- Create lists to hold your data for licenses, domestic sales, and international sales.
- Use the type function to print the data type of the elements in each list.
- Print the length of the domestic sales list using the len function, and use the min, max, and sum functions to print the respective minimum, maximum, and sum of the list.
- Write a Python statement to determine if international sales for PG-13 movies are greater than the combined sales of other movies. This can be done using a comparison operator and the sum function.
Here is an example of how this might look in Python:
licenses = ['G', 'PG', 'PG-13', 'R']
# Assuming these are the total sales for each license type
# Replace these example numbers with your actual data
# Check if international sales for PG-13 movies gross more than all other movies combined
print(international_sales[2] > sum(domestic_sales) + sum(international_sales) - international_sales[2])
In the above Python code, you should replace the placeholder lists with the actual data from your pivot table. The final print statement will output True or False depending on whether the condition is met.