International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Data Analytics: Unlocking Multivision’s Future Perspectives

Author(s) Tanu Maurya, Ankita Gupta, Tina Yadav, Nikhil Kumar Yadav, Mimansha Singh
Country India
Abstract This research examines the problem of making data analysis understandable to non-technical consumers in today’s world of extensive data. We present a project that combines a user-friendly web application built on the Django
framework with simple data analysis using linear regression.
Through the use of the simple statistical technique of linear regression, even non-technical people may obtain valuable insights from large-scale datasets. Easy-to-use online application that makes data uploading, analysis, and interpretation a breeze. Our method uses built-in linear regression methods in the Django framework to automate dataset analysis. In this paper, the user interface design and the use of linear regression are explained, together with technical architecture insights. Facilitating inclusion across several areas, the major objective is to democratize data analysis. Our goal is to empower non-technical individuals and enable a wider audience to understand and apply data for informed decision-making by providing a tool that combines the efficiency of linear regression with an easy-to-use online interface.
Keywords Web Development, Django, Machine Learning
Field Sociology > Data / Information / Statistics
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-09
Cite This Data Analytics: Unlocking Multivision’s Future Perspectives - Tanu Maurya, Ankita Gupta, Tina Yadav, Nikhil Kumar Yadav, Mimansha Singh - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14626
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.14626
Short DOI https://doi.org/gtmbgg
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