Note that it is possible to have someone write in the same name for multiple different offices, so you do need to be careful to only count occurrences of the name present in the column representing the office you're counting votes for. You are permitted to import the csv module, but this is not required. Hints: Be careful when the request is for the last column in the file - if you're splitting by comma, then that column will contain the '\n' character, and this shouldn't be included in the candidate names, or in the name of the office. You can assume for the sake of simplicity that no candidate or office will contain a comma in the name. Disclaimer: The data in the CSV files was randomly generated from all names available on the ballot for a given district according to https://myballotmn.sos.state.mn.us/ (along with a few fictional characters to simulate write-ins). Don't take any given candidate randomly getting more "votes" than another as an endorsement. Examples (assumes that you have the sample files from hw09files.zip downloaded to the same directory that you're running Python in): >>> count_votes('district_0z.csv', 'County Sheriff') {'Shallan Davar': 1, 'Liz Lemon': 3, 'Ron Swanson': 1} >>> count_votes('district_4b.csv', 'Mayor') {'Shelly Carlson': 7, 'Donna Meagle': 2, 'Kevin Nese Shores': 5} >>> count_votes('district_60b.csv', 'County Commissioner District 4') {'Angela Conley': 50, 'Monkey D. Luffy': 1, 'Jobu Tupaki': 2, 'Leslie Knope': 1}