A data analytics project that tracks and visualizes daily habits across career, health, finance, and relationships. Built with Python, this project demonstrates automated dashboard creation and pattern analysis from behavioral data.
What It Does
- Tracks 9 daily habits across 5 life categories
- Generates realistic behavioral data with temporal patterns
- Creates automated Excel dashboards with charts and heatmaps
- Analyzes performance trends and correlations
- Identifies actionable insights from tracking data
Tech Stack
Dashboard Preview
Calendar Heatmap
Key Findings
Analysis revealed a 76% average completion rate with weekend performance 15% lower than weekdays. Learning was the most consistent habit at 91% completion, with strong correlation between learning and reading activities. The calendar heatmap visualization made momentum patterns clearly visible.
Project Structure
The project includes data generation scripts that create realistic habit patterns, an Excel dashboard generator that automates visualization creation, and comprehensive documentation including a data dictionary and project walkthrough for interviewers.