Road Accident Report

This Power BI dashboard project is focused on analyzing road accident data to identify patterns, trends, and key factors contributing to accidents. The dashboard transforms raw data into clear, interactive visualizations that assist stakeholders such as traffic authorities, urban planners, and policy-makers in making informed decisions to improve road safety.

Key Features:
Overview Dashboard: Provides a high-level summary of total accidents, fatalities, and injuries across different time periods.

Time-Based Analysis: Breaks down accident occurrences by year, month, day, or hour to detect peak accident times.

Location Insights: Visualizes accident hotspots using maps or charts categorized by city, district, or road segments.

Cause & Type Analysis: Displays charts on major causes (e.g., speeding, drunk driving), types of collisions, and vehicle involvement.

Demographic Insights: Offers details on age groups, genders, or other demographics involved in accidents if available.

Filters & Interactivity: Allows users to filter data by time, location, vehicle type, or accident severity to perform deep-dive analysis.

Tools & Techniques Used:
Power BI Desktop (.pbix)

Power Query for data cleaning and transformation

DAX for creating custom measures and KPIs

Interactive visuals including bar charts, pie charts, maps, and slicers