Zain The AnalystAvailableCase Study
Data Analysis and Visualization
Global Mortality Analysis Dashboard Using Power BI
An interactive Power BI dashboard analyzing worldwide mortality trends, causes of death, country-level comparisons, and disease patterns from 1990 to 2019.
Key Metrics Analyzed
Total Deaths Analyzed1.47 Billion
Years Covered30
Countries Included195+
Highest Annual Deaths54.3 Million
Overview & Objectives
This Power BI dashboard provides a comprehensive analysis of global mortality data between 1990 and 2019. The solution enables users to explore death rates across countries, investigate the leading causes of death, analyze historical trends, and compare disease impacts across different regions.
The dashboard combines interactive filtering, KPI tracking, country-level comparisons, trend analysis, and disease-specific visualizations to provide meaningful healthcare insights from large-scale historical datasets.
Project Goal
The goal of this project was to transform complex global mortality data into an interactive analytics solution that helps users explore trends, compare countries, identify major causes of death, and understand long-term healthcare patterns.
The Business Problem
Large healthcare datasets often contain thousands of records that are difficult to interpret through spreadsheets alone. Understanding mortality trends, identifying leading causes of death, and comparing countries requires an analytical solution that allows users to interact with data dynamically and uncover meaningful patterns.
Methodology
My Approach
- 1The dataset was cleaned, transformed, and modeled in Power BI
- 2Relationships were established between countries, years, and causes of death.
- 3Interactive slicers were implemented for filtering by year, country, and cause of death.
- 4Multiple visualizations were designed to highlight trends, rankings, distributions, and comparative analysis.
Implementation
Roadmap Execution
Data Preparation
Cleaned and transformed raw mortality datasets.
Data Modeling
Built relationships between years, countries, and causes of death.
DAX Development
Created KPIs, calculations, and analytical measures.
Dashboard Design
Developed interactive reports and visualizations.
Optimization
Improved performance and usability.
Key Features
Interactive Country Filtering
Cause of Death Analysis
Top Countries Comparison
Mortality Trend Analysis
KPI Cards
Disease Distribution Analysis
Year-over-Year Comparisons
Dynamic Visualizations
Business Impact
Improved visibility into global mortality trends
Faster identification of leading causes of death
Better healthcare data exploration
Enhanced decision-making through interactive analytics
Challenges Overcome
- Large historical dataset spanning multiple decades
- Data cleaning and transformation requirements
- Designing intuitive healthcare visualizations
- Optimizing dashboard performance
- Presenting complex mortality trends clearly
Outcomes
Final Outcomes & Learnings
- The final dashboard provides a user-friendly interface for exploring global mortality patterns.
- Users can quickly identify the leading causes of death, compare countries, evaluate trends over time, and gain actionable insights from historical healthcare data.
Project Gallery & Screenshots
Technologies Used
Microsoft Power BIPower QueryDAXExcelData ModelingData Visualization
Data Sources
Historical Mortality DatasetGlobal Cause of Death DataCountry-Level Health Statistics
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