公开数据集
数据结构 ? 3.02M
Data Structure ?
* 以上分析是由系统提取分析形成的结果,具体实际数据为准。
README.md
Context
"Law enforcement in Cook County, which includes Chicago, seized items from residents ranging from a cashier's check for 34 cents to a 2010 Rolls Royce Ghost with an estimated value of more than $200,000. They also seized Xbox controllers, televisions, nunchucks, 12 cans of peas, a pair of rhinestone cufflinks, and a bayonet."
-[Reason.com][2]
Content
There wasn't much documentation on the dataset, but the data fields are somewhat explanatory.
- InventNumb: Inventory number
- PolRptNumb: Police report number
- INumber: ?
- SeizeDate: Date siezed
- SeizeAddress: Address where it was siezed
- SeizeCity: City where it was siezed
- SeizeState: State where it was siezed
- SeizeZip: Zip code for where it was siezed
- InvItemNumb: Invenotry Item number?
- Descr: Description of item
- EstValue: estimated value of item
- Vin: VIN number? (vehicles)
- Findings: ?
- ForfDate: Forfieture date?
- ForfValue: Value of forfieture?
- CaseNumb: Case number
- AD: ?
- ADDate: Date?
Acknowledgements
This dataset is the result of [FOIA][1] request by Lucy Parsons Labs, a Chicago-based transparency non-profit. It contains information about to the seizures of assets in Cook County (Chicago, IL).
These data were presented in a Reason.com article showing the disparity of Police seizures between poor and wealthier parts of Cook County, IL.
[http://reason.com/blog/2017/06/13/poor-neighborhoods-hit-hardest-by-asset][1]
[1]: http://reason.com/blog/2017/06/13/poor-neighborhoods-hit-hardest-by-asset
The original excel file was converted to CSV
Inspiration
This dataset comes from a Freedom of Information Act request. I love datasets like these because of the potential for finding new socioeconomic insights and improving government accountability.
[1]: https://en.wikipedia.org/wiki/Freedom_of_Information_Act_(United_States)
[2]: http://reason.com/blog/2017/06/13/poor-neighborhoods-hit-hardest-by-asset
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