hackforla / hackforla/lucky-parking
Research citation outliers
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- Jupyter Notebook
- Stars
- 37
- Forks
- 60
- Avg merge
- 13h 32m
- Merged PRs (30d)
- 5
Description
### Overview
There seems to be a lot of public interest in tickets that were [improperly made citations](https://www.nbclosangeles.com/news/local/unfair-parking-tickets/2100605/). An analysis that highlights these wrongly written citations would generate a lot of input allow accountability for citation officers.
### Action items
- [ ] Pull Parking Citation Data From [Los Angeles Parking Ticket API](https://data.lacity.org/Transportation/Parking-Citations/4f5p-udkv/about_data)
- [ ] Research updated citation regulation announcement source/broken meters
- [ ] Process Data/Clean/Format, etc...
- [ ] Exploratory Data Analysis(EDA): visualizations, find outliers, irregularities, etc...
- [ ] Review with LP Team
### Resources/Instructions
- Confer with Greg
- [See tutorials at Data Science wiki](https://github.com/hackforla/data-science/wiki/Tutorials)
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Assessment
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