AFFICIONADO_COFFEE_ROASTERS
Project Summary: Coffee Shop Sales Dashboard Purpose: An interactive data analytics dashboard designed to analyze coffee shop transaction records and unlock actionable business insights. Core Objectives: Tracks sales trends over time, identifies peak operational hours, monitors product performance, and visualizes revenue patterns. Key Features: Offers daily/monthly trend analysis, peak-hour tracking, product metrics, and interactive data filtering via a user-friendly interface. Tech Stack: Built with Python, utilizing Pandas and NumPy for data processing, Matplotlib/Plotly for dynamic charts, and Streamlit for the web application interface.
Authors
- Bristi Pal
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-17
- DOI
- https://doi.org/10.5281/zenodo.20259504
- Primary Topic
- Data Analysis with R
- Type
- article
- Field-Weighted Citation Impact
- 0.00