import datetime
import csv


# Question 1
# ----------
# Using the csv data file users.csv aggregate app users as well as registration date by month. The count of app
# users should be one dictionary while the count of registration month should be another dictionary. There will be
# no checking or test harness so simply print your results to the console.
# Example:
# d1 = {
#    'RECEIPT_HOG': 3325,
#    'SHOPAROO': 38,
#    'RECEIPT_LOTTERY': 820,
#    'RECEIPT_BIN': 3208
# }
# d2 = {
#    'Jan': 3852,
#    'Feb': 38525,
#    etc...
# }
def bigdata():
    # Write code here
    pass


def main():
    bigdata()

if __name__ == '__main__':
    main()

import datetime
import csv


# Question 1
# ----------
# Using the csv data file users.csv aggregate app users as well as registration date by month. The count of app
# users should be one dictionary while the count of registration month should be another dictionary. There will be
# no checking or test harness so simply print your results to the console in the display_results function.
# Example:
# d1 = {
#    'RECEIPT_HOG': 3325,
#    'SHOPAROO': 38,
#    'RECEIPT_LOTTERY': 820,
#    'RECEIPT_BIN': 3208
# }
# d2 = {
#    'Jan': 3852,
#    'Feb': 38525,
#    etc...
# }
def bigdata():
    # Write code here
    pass


def display_results(d1, d2):
    # Write code here
    pass


def main():
    bigdata()

if __name__ == '__main__':
    main()

Add print function to demonstrate func calling
Add print function to demonstrate func calling
