This project analyzes road accident data to identify patterns and factors that influence accident severity and frequency. The goal is to understand how variables such as weather conditions, vehicle types, and location impact road safety.
An interactive dashboard was created using Tableau to visually explore accident trends and support data-driven decision making.
The main objectives of this project are:
- Analyze accident severity under different weather conditions
- Study the relationship between vehicle type and accident severity
- Identify high-risk areas in urban and rural locations
- Provide data-driven insights that can help improve road safety
The dataset contains information related to road accidents, including:
- Accident severity
- Weather conditions
- Road surface conditions
- Vehicle types involved
- Urban vs rural accident locations
- Other contributing factors
These attributes help analyze how environmental and infrastructure factors influence accidents.
- Data cleaning and preprocessing
- Handling missing values
- Preparing variables for analysis
The analysis focuses on questions such as:
- Does weather affect accident severity?
- Are certain vehicle types more likely to be involved in severe accidents?
- How do accident patterns differ between urban and rural areas?
An interactive Tableau dashboard was created to visualize:
- Accident severity distribution
- Weather impact on accidents
- Vehicle type involvement
- Location-based accident trends
- Tableau – Data visualization and dashboard creation
- Excel – Data cleaning and preparation
- Exploratory Data Analysis (EDA)
The project includes a Tableau dashboard that visualizes accident patterns and safety insights.
Key visualizations include:
- Accident severity analysis
- Weather impact on accidents
- Vehicle involvement analysis
- Urban vs rural accident trends
- Weather conditions influence accident severity.
- Certain vehicle types appear more frequently in severe accidents.
- Urban and rural areas show different accident patterns.
- Identifying high-risk zones can help improve road safety strategies.
This project demonstrates how data analysis and visualization can help understand accident trends and support better traffic safety planning.