This project provides an in-depth analysis of crime data across various Indian states using a Jupyter Notebook. The goal is to uncover trends, identify correlations with socio-economic factors, and offer insights that can aid policymakers and public safety officials.
This repository contains a comprehensive analysis of crime data across various states in India. The primary objective is to explore crime trends, patterns, and insights that can aid in understanding the socio-economic factors influencing crime rates.
- Indian Crime Analysis.ipynb: This Jupyter Notebook contains the main analysis, visualizations, and findings regarding crime data in India. The notebook includes:
- Data cleaning and preprocessing
- Exploratory data analysis (EDA)
- Visualizations of crime trends
- Insights and conclusions drawn from the data
To run the analysis, follow these steps:
-
Clone the Repository:
git clone https://github.com/Code-with-bindu/Analyzing-Crimes-in-Indian States.git
-
Navigate to the Directory:
cd Analyzing-Crimes-in-Indian-States -
Install Required Libraries: Ensure you have Jupyter Notebook and the necessary libraries installed. You can use the following command to install the required packages:
pip install -r requirements.txt
-
Run the Notebook: Launch Jupyter Notebook and open the
Indian Crime Analysis.ipynbfile to view and execute the analysis.
Contributions are welcome! If you have suggestions or improvements, please fork the repository and submit a pull request.
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.
For any inquiries or feedback, feel free to reach out to me at [[email protected]].
- Special Thanks to the data sources that provided the information used in this analysis.