How yuliia-danishevska/sales-user-behavior-analysis works
This is a notebook-based sales and user-behavior analysis project, not a conventional application. Its documented workflow is to examine sales and session behavior, compare user groups statistically, and use the findings to inform business recommendations. The README also presents an interactive Tableau dashboard. No notebook source was provided, so the graph reflects documented capabilities and relationships only; it does not infer notebook execution order or how the dashboard was produced.
Main entry points: README.md Key Findings · Sales & User Behavior Analysis.ipynb Sales Analysis
Components 11
Business Analysis
- Sales Analysis
Sales & User Behavior Analysis.ipynb - Traffic Channels
Sales & User Behavior Analysis.ipynb - Device Activity
Sales & User Behavior Analysis.ipynb - Activity Over Time
Sales & User Behavior Analysis.ipynb - User Group Tests
Sales & User Behavior Analysis.ipynb - Sessions & Revenue
Sales & User Behavior Analysis.ipynb
Results & Reporting
- Key Findings
README.md - Business Recommendations
README.md - Tableau Dashboard
Other components
- Analyst
- Dashboard Viewer
Connections 14
- Analyst → Sales Analysis: analyzes
README.md - Analyst → Traffic Channels: analyzes
README.md - Analyst → Device Activity: compares
README.md - Analyst → Activity Over Time: analyzes
README.md - Analyst → User Group Tests: compares
README.md - Analyst → Sessions & Revenue: analyzes
README.md - Sales Analysis → Key Findings: informs
README.md - Traffic Channels → Key Findings: informs
README.md - Device Activity → Key Findings: informs
README.md - Activity Over Time → Key Findings: informs
README.md - User Group Tests → Key Findings: informs
README.md - Sessions & Revenue → Key Findings: informs
README.md - Key Findings → Business Recommendations: inform
README.md - Dashboard Viewer → Tableau Dashboard: views
README.md