Nassau Candy Distributor Sales Data Analysis Using Python and Streamlit

This project presents an analysis of Nassau Candy Distributor sales data using Python, Pandas, Matplotlib, and Streamlit. The project focuses on data processing, numerical analysis, visualization, and the development of an interactive web-based dashboard. The application was deployed using Streamlit Community Cloud to provide an accessible interface for exploring the analysis.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.22077158
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Nassau Candy Distributor Sales Data Analysis Using Python and Streamlit

Sireesha Kasula
Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
article

Nassau Candy Distributor Sales Data Analysis Using Python and Streamlit

Sireesha Kasula
article en

Abstract

This project presents an analysis of Nassau Candy Distributor sales data using Python, Pandas, Matplotlib, and Streamlit. The project focuses on data processing, numerical analysis, visualization, and the development of an interactive web-based dashboard. The application was deployed using Streamlit Community Cloud to provide an accessible interface for exploring the analysis.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Computational Physics and Python Applications
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Nassau Candy Distributor Sales Data Analysis Using Python and Streamlit — Sireesha Kasula · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS