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/resour...
Download Anaconda
• Anaconda Installation Video to use Jupyter Notebook: • How to Download Anaconda for Jupyter Noteb...
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⏳ 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
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