This project does a quick pull of the City of Chicago's 2017 Parking Ticket data, summarized by ward.
Then uses python to join those features to a GeoJSON Ward map so I can present which wards have the worst proportion of "Paid" tickets, over the respective set of issued tickets for that ward. The map was made by dropping the final transformed dataset ticketing_wards_2017.geoJSON
into Felt.
- City of Chicago Parking and Camera Ticket Data, via ProPublica Data Store
- Uploaded to personal bigquery project and queried with
2017_ward_ticketing_stats.csv
- Uploaded to personal bigquery project and queried with
- Boundaries - Wards (2015-2023), via Chicago Data Portal
- GeoJSON saved in Project as
Boundaries - Wards (2015-2023).geoJSON
- GeoJSON saved in Project as