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https://github.com/uk-ipop/cook-county-analysis
Analysis on Chicago/Cook County Open Data
https://github.com/uk-ipop/cook-county-analysis
geocoding geopandas geospatial python
Last synced: 7 days ago
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Analysis on Chicago/Cook County Open Data
- Host: GitHub
- URL: https://github.com/uk-ipop/cook-county-analysis
- Owner: UK-IPOP
- License: lgpl-3.0
- Created: 2021-01-15T15:49:11.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-06-13T00:31:52.000Z (over 1 year ago)
- Last Synced: 2024-11-08T08:46:58.293Z (about 2 months ago)
- Topics: geocoding, geopandas, geospatial, python
- Language: Jupyter Notebook
- Homepage:
- Size: 44.4 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
Awesome Lists containing this project
README
# Cook County Analysis
## Intro
This project consumes *enhanced* Cook County Medical Examiner data from our [opendata pipeline](https://github.com/UK-IPOP/open-data-pipeline)
and performs various analyses on it. The source data is from the Cook County Medical Examiner Archives [source](https://datacatalog.cookcountyil.gov/Public-Safety/Medical-Examiner-Case-Archive/cjeq-bs86) but is enhanced by our pipeline.## Project Info
This project uses two simple Go programs to scrape medical center addresses and calculate haversine distance between points.
> Note: This project uses some closed data that cannot be shared and thus this documentation is for reference only.
## Requirements
Links not provided as these should be easy to find and only certain versions are required.
- Go 1.19
- Python 3.10
- git (git lfs)
- jq
- wget
- unzip
- dasel
- poetry (python)
- geocoder (python)## Analysis
Analysis can be found in the `notebooks` folder.
## Citation
If you base your work on any of this code, please cite this repository as follows:
```BibTeX
@software{Anthony_Medical_Examiner_OpenData_2022,
author = {Anthony, Nicholas},
month = {9},
title = {{Medical Examiner OpenData Pipeline}},
url = {https://github.com/UK-IPOP/open-data-pipeline},
version = {0.2.1},
year = {2022}
}
```