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

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
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article

AFFICIONADO_COFFEE_ROASTERS

Bristi Pal
Zenodo (CERN European Organization for Nuclear Research)
Data Analysis with R
article

AFFICIONADO_COFFEE_ROASTERS

Bristi Pal
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Data Analysis with R
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