This project analyzes crime data in Chicago to identify patterns, trends, and hotspots, enabling stakeholders to make informed decisions for improving public safety. The interactive dashboard provides insights into crime categories, locations, and temporal patterns.
🌐 View Dashboard on Tableau Public
- Interactive Filters: Dive deep into crime data by category, time, and location.
- Hotspot Analysis:
- Crime-prone areas across Chicago.
- Temporal distribution of criminal activities.
- Dynamic Visuals:
- Crime trends over the years.
- Heatmaps of high-crime regions.
- Comparison of crime types and frequencies.
- 📂 Dataset:
dataset/chicago_crime_data.csv - 📂 Presentation:
Presentation/Chicago_Crime_Insights.pdf - 📂 Images:
Images/
- 🗺️ Crime Hotspots: Downtown Chicago and specific neighborhoods show higher crime rates.
- 🕒 Temporal Trends: Crimes peak during certain hours and seasons.
- 🔍 Category Insights: Theft and assault are the most reported crimes, with notable variations by area.
- 🌟 Actionable Insights: Improved resource allocation during high-crime hours and targeted interventions in hotspots.
- Tableau: Dashboard creation and visualization.
- Python: Data cleaning and preprocessing.
- View the Dashboard:
- Access the interactive dashboard directly on Tableau Public.
- Explore Locally:
- Clone this repository:
git clone https://github.com/your-repo-name.git
- Use the provided dataset (
dataset/chicago_crime_data.csv) for further analysis.
- Clone this repository:
This project is licensed under MIT License.
For any questions or suggestions, feel free to reach out!
- Author: Dharmik Shah
- GitHub: dharmik2101
- Tableau Public: Dharmik Shah