This project involved deep analysis and visualization of COVID-19 data from various global sources using Tableau. The goal was to explore infection patterns, recovery trends, and death rates across countries and regions, while making the insights accessible through rich, interactive dashboards.
🔍 Significance of COVID-19 Data Analysis
During the pandemic, data became critical to inform governments, healthcare systems, and citizens. Analyzing COVID-19 data helps in:
Tracking and predicting case surges
Comparing regional healthcare responses
Identifying high-risk areas for better resource allocation
Creating awareness through visual storytelling
📊 Why Tableau?
Tableau is one of the most powerful tools for data visualization in data science. In this project, it was used for:
Real-time data visualizations with filters and drill-down capabilities
Interactive dashboards showing confirmed, recovered, and death counts
Geo-maps to show regional distribution of cases
Trend analysis using time-series charts for monthly and weekly patterns
User-friendly interface for non-technical users to explore insights
✨ Highlights
Designed multiple dashboards for countries, continents, and timeframes
Used calculated fields and parameters to customize filters and KPIs
Storyline feature used to present insights in a guided narrative
Technologies Used
Tableau, Excel (for data cleaning), Public COVID Datasets