Visualizing Customer Interaction Patterns in E-Commerce

  • Unique Paper ID: 173799
  • Volume: 11
  • Issue: 10
  • PageNo: 1978-1982
  • Abstract:
  • Analyzing and visualizing data effectively is crucial for extracting meaningful insights and making informed decisions. This system provides a web-based interactive platform that allows users to upload datasets, preprocess them, and generate dynamic visualizations. It enables seamless data handling, including filtering, missing value treatment, and customized selection of attributes for analysis. Users can explore trends, patterns, and relationships within their data through various graphical representations, enhancing their ability to understand and interpret information efficiently. By simplifying the data analysis process, the system makes insights more accessible and actionable for a wide range of applications.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{173799,
        author = {B. Venkata Gowtham and S. Srinadh Raju and G. Pavan and G. Neha and K. Bittu Singh},
        title = {Visualizing Customer Interaction Patterns in E-Commerce},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {1978-1982},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173799},
        abstract = {Analyzing and visualizing data effectively is crucial for extracting meaningful insights and making informed decisions. This system provides a web-based interactive platform that allows users to upload datasets, preprocess them, and generate dynamic visualizations. It enables seamless data handling, including filtering, missing value treatment, and customized selection of attributes for analysis. Users can explore trends, patterns, and relationships within their data through various graphical representations, enhancing their ability to understand and interpret information efficiently. By simplifying the data analysis process, the system makes insights more accessible and actionable for a wide range of applications.},
        keywords = {Data Visualization, Interactive Analysis, Data Preprocessing, Trend Analysis, Dynamic Graphs.},
        month = {March},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 10
  • PageNo: 1978-1982

Visualizing Customer Interaction Patterns in E-Commerce

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