Road Accident Visualization

Data visualization project analyzing India's 2022 road accident trends using Python.

🚧 Road Accident Patterns through Data Visualization Techniques

Duration: Jan 2025 – Apr 2025
Course: Data Analytics and Visualization (Academic Project)
Language & Tools: Python, Pandas, Matplotlib, Seaborn, Google Colab

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📌 Overview

This project analyzes India's 2022 road accident data to uncover meaningful insights using data visualization techniques. The aim is to help policymakers, urban planners, and traffic management authorities make informed decisions by visualizing key accident patterns.

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🧠 Objectives

• Perform data cleaning and preprocessing on official road accident datasets.
• Use exploratory data analysis (EDA) to identify trends and patterns.
• Create interactive and static visualizations to highlight accident-prone regions, causes, time-based distributions, and vehicle-type involvement.

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📊 Key Features

• State-wise and region-wise accident trends
• Time-of-day and weekday distribution of accidents
• Vehicle-type involvement analysis
• Fatality and severity trends by demographics and region
• Visualizations using Matplotlib and Seaborn
• Google Colab-based interface for ease of collaboration and interactivity

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🗂️ Dataset

• Source: Ministry of Road Transport and Highways (MoRTH), Government of India
• Year: 2022
• Contains data on number of accidents, fatalities, types of vehicles, causes, and more.

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📁 Project Structure

📂 Road_Accident_Patterns/
├── Road_Accident_Patterns.ipynb   # Main Jupyter Notebook
├── README.md                      # Project Documentation
├── data/                          # Dataset(s) used
└── images/                        # Visualizations exported