Data Visualization with Power BI
Project Overview:
Developed an interactive Power BI dashboard to analyze and visualize road accident data across
the United Kingdom for the years 2021 and 2022. The dashboard aimed to provide actionable
insights into accident trends, casualty severity, and contributing factors, supporting data-driven
decision-making for road safety initiatives.
Key Features & Functionalities:
Dynamic Visualizations: Implemented slicers and filters to allow users to explore data by
various dimensions such as accident severity, vehicle type, road type, weather conditions, and
time of day.
Geospatial Analysis: Utilized map charts to pinpoint accident hotspots, enabling stakeholders to
identify high-risk areas and allocate resources effectively.
KPI Metrics: Calculated and displayed key performance indicators (KPIs) including total
accidents, fatalities, serious injuries, and slight injuries, with year-over-year comparisons.
Trend Analysis: Developed time-series visualizations to track accident trends over months and
years, highlighting periods with significant changes in accident rates.
Categorical Breakdown: Provided detailed breakdowns of accidents by factors such as road
type, vehicle type and accident severity.
Technical Implementation:
Data Transformation, Data Modeling, DAX Calculations
Outcomes & Impact:
Enhanced Decision-Making, Public Awareness, Policy Support etc.