What will be the output after the following code is executed…

What will be the output after the following code is executed and the user enters 75 and -5 at the first two prompts? def main(): try: total = int(input(“Enter total cost of items? “)) num_items = int(input(“Number of items “)) average = total / num_items except ZeroDivisionError: print(‘ERROR: cannot have 0 items’) except ValueError: print(‘ERROR: number of items cannot be negative’) if __name__ == ‘__main__’: main()

What will be the output after the following code is executed…

What will be the output after the following code is executed and the user enters 75 and 0 at the first two prompts? def main(): try: total = int(input(“Enter total cost of items? “)) num_items = int(input(“Number of items “)) average = total / num_items except ZeroDivisionError: print(‘ERROR: cannot have 0 items’) except ValueError: print(‘ERROR: number of items cannot be negative’) if __name__ == ‘__main__’: main()

Paste the related code in the response window, also screensh…

Paste the related code in the response window, also screenshot your plots and result figures and attached these image files by ‘Add file’. This is the last question, please also attached your .ipynb file to the response window. Diagnostic Shifts During COVID-19 (2020–2022) Detect whether pandemic years altered visit patterns in both count and rate. Compare pre-2020 vs 2020–2022 by diagnosis (not reasons) and age group. Visualization: before/after comparative plots (e.g., side-by-side faceted bars). Grading Rules: 1: Splits data into pre-2020 vs 2020–2022 and identifies diagnoses with changes in age group 1: before/after faceted plots