How knsumanth2006/heart-disease-analysis1 works
This repository documents a heart-disease analytics project: patient data is prepared, analyzed for risk patterns, and presented through interactive Tableau dashboards and reports. The main user workflow is to open the Tableau dashboard, explore the documented health-factor comparisons, and use the resulting insights to support healthcare decisions. The graph reflects the README and artifact names; implementation details and the underlying Tableau workbook are not present in the file tree, so internal wiring is limited to documented relationships.
Main entry points: Dashboard Screenshot, Story Screenshot along Tableau Public Links.pdf Dashboard views · Heart Disease cleaned Dataset.csv Cleaned dataset · Preprocessing Steps and Business Questions with Visualization.pdf Preprocessing steps · Final report.pdf Final report
Components 10
Data Preparation
- Cleaned dataset
5.Project Development Phase/Heart Disease cleaned Dataset.csv - Preprocessing steps
5.Project Development Phase/Preprocessing Steps and Business Questions with Visualization.pdf
Analysis Design
- Solution requirements
2.Requirement Analysis/Solution Requirements.pdf - Data flow design
2.Requirement Analysis/Data flow diagram.pdf - Solution architecture
3.Project Design Phase/Solution Architecture.pdf
Insights and Reports
- Tableau
- Dashboard views
5.Project Development Phase/Dashboard Screenshot, Story Screenshot along Tableau Public Links.pdf - Final report
7.Doc and Demo/Final report.pdf - Demo video
7.Doc and Demo/Demo Video.mp4
Other components
- Dashboard user
Connections 6
- Preprocessing steps → Cleaned dataset: documents preparation
- Cleaned dataset → Tableau: connects dataset
- Dashboard user → Tableau: explores dashboard
- Tableau → Dashboard views: presents insights
- Dashboard views → Final report: supports analysis
- Dashboard views → Demo video: demonstrated in