(d) create_area_dict(list2D) that takes a 2D-list containing the database as input andcreates a dictionary called area_dict (you may rename it), where keys are the identitynumber of a CMA (ID) and values are the name of the CMA (Area). This function mustreturn the dictionary. See sample output below.area_dict = create_area_dict(database)display_dict(area_dict)31 - Cityview - Crestview - Meadowlands903 - Billings Bridge - Alta Vista908 - Byward Market912Carson GroveCarson Meadows923Glebe - Dows Lake940Overbrook - McArthur942 - Portobello South949 - Sandy Hill957 - West Centertown(e) create_crime_dict(filename) that takes the filename of a csv file as input andreturns a dictionary called crime_dict (you may rename it). This function reads theheader of the csv file and stores data in crime_dict such that keys are the indices of acrime type on the header row, and values are the corresponding crime types (names arecase sensitive). You can assume that indices start from zero (0) on the header row. Thefunction must return this dictionary. See sample output below.crime_dict = create_area_dict(filename)display_dict(crime_dict)3 - Arson4 - Break and Enter5 - Fraud6 -Mischief7 - Possession / Trafficking Stolen Goods8 - Theft - Motor Vehicle9 - Theft $5000 and UnderTheft Over $500010 -

def create_area_dict(database): d={} for i in range(len(database)): key=database[i][0]…

(d) create_area_dict(list2D) that takes a 2D-list containing the database as input and creates a dictionary called area_dict (you may rename it), where keys are the identity number of a CMA (ID) and values are the name of the CMA (Area). This function must return the dictionary. See sample output below. area_dict = create_area_dict(database) display_dict(area_dict) 31 - Cityview - Crestview - Meadowlands 903 - Billings Bridge - Alta Vista 908 - Byward Market 912 Carson Grove - Carson Meadows 923 - Glebe - Dows Lake 940 - Overbrook - McArthur 942 949 Portobello South Sandy Hill West Centertown 957

(d) create_area_dict(list2D) that takes a 2D-list containing the database as input and creates a dictionary called area_dict (you may rename it), where keys are the identity number of a CMA (ID) and values are the name of the CMA (Area). This function must return the dictionary. See sample output below. area_dict = create_area_dict(database) display_dict(area_dict) 31 - Cityview - Crestview - Meadowlands 903 - Billings Bridge - Alta Vista 908 - Byward Market 912 Carson Grove - Carson Meadows 923 - Glebe - Dows Lake 940 - Overbrook - McArthur 942 949 Portobello South Sandy Hill West Centertown 957

C++ for Engineers and Scientists

4th Edition

ISBN:9781133187844

Author:Bronson, Gary J.

Publisher:Bronson, Gary J.

Chapter13: Structures

Section13.5: Dynamic Data Structure Allocation

Problem 3E

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get_total_cases() takes the a 2D-list (similar to database) and an integer x from this set {0, 1, 2} as input parameters. Here, 0 represents Case_Reported_Date, 1 represents Age_Group and 2 represents Client_Gender (these are the fields on the header row, the integer value represents the index of each of these fields on that row). This function computes the total number of reported cases for each instance of x in the text file, and it stores this information in a dictionary in this form {an_instance_of_x : total_case}. Finally, it returns the dictionary and the total number of all reported cases saved in this dictionary.
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(PYTHON) a) get_total_cases() takes the a 2D-list (similar to database) and an integer x from this set {0, 1, 2} as input parameters. Here, 0 represents Case_Reported_Date, 1 represents Age_Group and 2 represents Client_Gender (these are the fields on the header row, the integer value represents the index of each of these fields on that row). This function computes the total number of reported cases for each instance of x in the text file, and it stores this information in a dictionary in this form {an_instance_of_x : total_case}. Finally, it returns the dictionary and the total number of all reported cases saved in this dictionary. (Suppose we want to know the total number of cases reported on each date, so use x = 0.) >>> result, total_cases = get_total_cases(database, 0) >>> display_dict(result) 2021-05-19: 8 2021-05-20: 2 2021-05-21: 1 2021-05-22: 1 >>> print(total_cases) 12
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