Police oversight and accountability through public data 👮
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Updated
Nov 23, 2024 - Python
Police oversight and accountability through public data 👮
Documentation for the Police Data Accessibility Project.
The OpenPoliceData (OPD) Python library is the most comprehensive centralized public access point for incident-level police data in the United States. OPD provides easy access to 500+ incident-level datasets for about 4800 police agencies. Types of data include traffic stops, use of force, officer-involved shootings, and complaints.
A data science project investigating crime statistics from the Metropolitan Police
Simple API to look up various police department rosters
This code is going to be used to scrape the UCPD Daily Incident page at a pre-determined frequency and store the incidents on a generic JSON data-store.
Visualises changing trust in the police and other professions globally
A public, searchable database of law enforcement officers in Virginia.
a simple node.js wrapper around the UK police data API
Information on incident-level police datasets for openpolicedata Python package
Streamlit app for downloading data available in the OpenPoliceData Python Package (https://pypi.org/project/openpolicedata) from the web
A simple script to download first information reports from Karnataka.
An ARMS dispatch data scraper
NOIHD CSV Processor - A CLI Tool to process our massive data file into API ready imports.
Topic modeling on police sentiment using scrapped tweets.
Data Ingestion Lab with Nifi and Data Analysis on PySpark and Pandas of UK Police Crime API
NOIHD Object Relational Mapping Schema - Create and Manage API Modules for Police Data Portal using Object Relational Mapping Schema Visual GUI.
The project conducts comprehensive data analysis on a police dataset to uncover patterns, biases, and insights in law enforcement practices, aiding in policy formulation and enhancing transparency.
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