Code in Python: 10 users were asked to select from four options (A, B, C and D). Their responses are stored in the variable x below. x = pd.Series(["A" , "B", "A", "A", "D", "C", "A", "C", "A", "A"]) Use the data in x to plot a pie chart representing the counts for each of the 4 options. This can be done by: - Counting the number of occurrences of each option and storing it into a DataFrame. - Invoking the plot method in Pandas with pie option on the DataFrame, indicating that your y value is the counts column.

Code in Python: 10 users were asked to select from four options (A, B, C and D). Their responses are stored in the variable x below. x = pd.Series(["A" , "B", "A", "A", "D", "C", "A", "C", "A", "A"]) Use the data in x to plot a pie chart representing the counts for each of the 4 options. This can be done by: - Counting the number of occurrences of each option and storing it into a DataFrame. - Invoking the plot method in Pandas with pie option on the DataFrame, indicating that your y value is the counts column.

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Description: Code in Python:10 users were asked to select from four options (A, B, C and D). Their responses are stored in the variable x below.x = pd.Series(["A" , "B", "A", "A", "D", "C", "A", "C", "A", "A"])Use the data in x to plot a pie chart representing th

Programming Logic & Design Comprehensive

9th Edition

ISBN:9781337669405

Author:FARRELL

Publisher:FARRELL

Chapter8: Advanced Data Handling Concepts

Section: Chapter Questions

Problem 7PE

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