How to Build a Municipal Crime Data Dashboard with Python

Cities publish crime data through open data portals in hundreds of different formats. Build a unified dashboard that aggregates and visualizes crime trends across municipalities. The Problem with Municipal Data Every city publishes crime data differently — Chicago uses CSV, NYC uses an API, LA uses a data portal. A unified scraper normalizes everything into one comparable format. Scraping City Crime Portals import requests import pandas as pd API_KEY = " YOUR_SCRAPERAPI_KEY " # Get one at https://www.scraperapi.com?fp_ref=the52 def scrape_chicago_crimes ( limit = 1000 ): url = f " https://data.cityofchicago.org/resource/ijzp-q8t2.json?$limit= { limit } &$order=date DESC " response = requests . get ( url , timeout = 30 ) data = response . json () records = [] for crime in data : records . append ({ ' city ' : ' Chicago ' , ' type ' : crime . get ( ' primary_type ' , '' ), ' date ' : crime . get ( ' date ' , '' ), ' latitude ' : crime . get ( ' latitude ' ), ' longitude ' : crime . get (