First, write the code to create a single DataFrame object in a function called load_ticket_data(). This function should return the full dataframe and take no parameters (you can assume the ticket files are in the same directory as your assignment notebook). Column labels should be as follows: 'Make', 'Model', 'Violation', Description', 'Location', 'Meter', ['Ticket #', 'Badge', 'Issue Date', 'IssueTime', 'Plate', 'State', Fine', 'Penalty'] Here are some hints. 1. Be sure to scroll through every single sheet to make sure what rows should be dropped. 2. Make sure to exclude unnecessary footers and headers from the datafile. 3. Check if your header labels are correct. Write a function called generate_descriptors (df) which takes in the DataFrame you loaded from Question and returns a dataframe of all unique ticket descriptions and how frequent they are (e.g. it will tell you how many "HANDICAP" or "NO PERMITS U/M" tickets have been issued) for each of the following three time periods: morning (3 am to 11:59 am), afternoon (12 pm - 5:59 pm), and evening (6 pm - 2:59 am). Make sure you drop na values of input df. The DataFrame which generate_descriptors (df) returns should have 3 rows and 51 columns. Index should be labelled as Morning, Afternoon, and Evening. Column names should be unique values of df ["Description"]