hackforla / hackforla/data-science
CoP: Data Science: Identify overall trends in DUI arrests by council region
- Dominant language
- Jupyter Notebook
- Stars
- 33
- Forks
- 22
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Description
### Dependency
~Access to clean 311 data from 311-data-org team~ This product should NOT be correlated with 311 data
Project one sheet (can continue issue w/o completion of one sheet template)
### Overview
Investigate areas of high and low documented DUI arrests. Link this data back to 311 data to provide insight for councils.
### Action Items
- [ ] Revise the overview to remove correlation with NCs
- [ ] Find available data sources and add to Resources section below
- [ ] Determine is this is one-time or ongoing project (and assign appropriate label)
- [ ] Write one-sheet
- [ ] Define stakeholder
- [ ] Summarize project including value add - needs to be informed by a ux interview with some NC leaders
- [ ] Define project 6 month roadmap
- [ ] Detail history (if any)
- [ ] Define tools to be used to visualize combined data
- [ ] Create issues for the following
- [ ] EDA (Exploratory Data Analysis) of DUI data
- [ ] Investigate areas of high and low DUI citations
- [ ] Investigate correlation of DUI with population and percentage of stops
- [ ] Investigate correlation between DUI and collision data
### Resources/Instructions
Sofia says, in order to determine if its a one time project, that we should see how much data there is.
### Resume Skill
Perform EDA and independent analysis into public safety data
stakeholders are nc who might do outreach campaings (e.g., offering uber vouchers to bar tender to give patrons, etc).
Contributor guide
Assessment
This issue has not been assessed yet.