Create an Interactive Crime Map with Python and Folium | Step-by-Step Tutorial

In this tutorial, learn how to visualize crime data by creating an interactive map using Python and Folium. We'll fetch real-time crime data from the Chicago Crime API, process it with Pandas, and plot it on a dynamic map. Perfect for data enthusiasts and aspiring data scientists looking to enhance their geospatial analysis skills. Fetching real-time data from the Chicago Crime API​ • Processing data with Pandas​ • Creating interactive maps using Folium​ • Visualizing geospatial data effectively *Data Set* • Dataset Used: Crime Chicago data: https://data.cityofchicago.org/resource/ijzp-q8t2.json?$limit=1000 *Download Anaconda* • Anaconda Installation Video to use Jupyter Notebook: https://youtu.be/ImhtTEfQafo === *Support our Channel* ==== 🔔 *Don’t forget to LIKE & SUBSCRIBE* for more Python & Data Analysis tutorials! 💬 *Have a question* ? Drop it in the comments! 💎 *Want to Buy Me A Coffee* : https://buymeacoffee.com/datageekismyname ===== *Continue your learning* ========* If you’re learning Python for data analytics and want a structured guide, I put everything into a book with real examples. 📘 *Python for Data Cleaning* → 👉 https://a.co/d/iiMzQQH ______________________________________________ ⏳ *Timestamps* ⏳ 00:00 Introduction 00:32 Create a new notebook in Jupyter notebook 00:42 How to title the new workbook in Jupyter Notebook 00:56 How to change your Jupyter Notebook Theme to Dark mode 01:21 Install Folium into Jupyter Notebook 02:18 Step 1: Import the Python libraries (Folium, Pandas, Requests) 03:46 Step 2: Connect to API to get the crime data 05:37 Step 3: Convert the data into a Table (DataFrame) 08:10 Check summary of the DataFrame (Data types, number of rows, etc.) 09:35 Step 4: Clean and only keep what we need from the data 13:00 Step 5: Create the base map centered on Chicago 14:47 Step 6: Add crime points to the map 15:49 Step 7: Show the map #dataanlysis #pythonforbeginners #jupyternotebook #python #datascience #pythontutorial #pythonbeginner ______________________________________________ *Disclaimer*: This content is for educational purposes only. Affiliate links may be included, and I may earn a small commission at no extra cost to you. Thank you for supporting the channel!