Generic CSV Data Paraser using Python Generators:

• FileReader(self, filename, column_to_track,*, date_column=None)

• Second row data will automatically determine the data types for .csv file: float, string, integer, date

• Date restricted only to one column via date_column

• Return the frequency distribution of data per Column Header via column_to_track

  • Make sure you replace white space with "_" when passing in header names to column_to_track

Processing "nyc_parking_tickets_extract.csv":

Here are the highest frequency of citations sorted by...

• Vehicle Make: ('TOYOT', 112)

• Vehicle Body Type: ('SUBN', 352)

• Violation Description: ('PHTO SCHOOL ZN SPEED VIOLATION', 140)

• Registration State: ('NY', 779)

• Issue Date: (datetime.date(2016, 11, 14), 10)