How deepakns021/sales-profitability-analysis works
This repository packages a retail sales and profitability analysis: users can explore findings in a self-contained interactive dashboard, while a notebook provides reproducible analysis and a SQL file provides a portable query template. The documented analysis covers overall performance and discount, geographic, and product segments, with data-quality caveats limiting order- and customer-level conclusions. The README identifies the CSV as the source and the JSON as the dashboard’s source specification. No source excerpts were available, so implementation-level wiring beyond those documented relationships is not inferred.
Main entry points: dashboard.html Interactive dashboard · SampleSuperstore.csv Superstore data · artifact.json Dashboard specification · sales_profitability_analysis.ipynb Reproducible analysis
Components 7
Analysis resources
- Superstore data
data/SampleSuperstore.csv - Reproducible analysis
sales_profitability_analysis.ipynb - SQL template
analysis_queries.sql
Dashboard
- Dashboard specification
artifact.json - Interactive dashboard
dashboard.html - Sales and profit findings
dashboard.html
Other components
- Business user
Connections 4
- Superstore data → Reproducible analysis: analyzes
- Dashboard specification → Interactive dashboard: specifies
- Business user → Interactive dashboard: explores
- Interactive dashboard → Sales and profit findings: presents