VisuaStat: Visualizing Data and Simplifying Decisions

Ahstract- VisuaStat specializes in transforming raw, complex datasets into simple, easy-to-understand visualizations that any-one can interpret without expertise, making data-driven decision-making a reality for everyone. Data is one of the prominent features intertwined into several of the most technologically developed industries we have in addition to research. Hence, VisuaStat provides a way to explore, analyze, and interpret data at your will, with or without the necessary technical know-how you would have had. For example, VisuaStat allows users to upload datasets in different formats and get instant visualizations, including heatmaps, correlation matrices, distribution graphs, and boxplots. This feature can help you make data visualizations so you can see patterns, relationships, outliers, etc., which can provide essential insights for business decisions, research studies, and even academic submissions. Fundamental exploratory data analysis (EDA) functions like summary statistics and correlation analysis are provided here as a means for users to better understand the structure and trends in their data. Another key aspect of VisuaStat is its intuitive layout making it navigation friendly for users lacking experience in data analysis. So, complex functions can be automated at the platform's back end. Then, the output generated is saved in Firebase so a user can pick and choose any visualizations of their choice to display. Integrating with Firebase gives VisuaStat data and insights into cloud-based infrastructure - anywhere, anytime- whilst ensuring security and scale. VisuaStat can scale quickly to implement features such as machine learning for prediction and granularity of analysis in the near term.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11019270
Citations
13
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
16.59
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article

VisuaStat: Visualizing Data and Simplifying Decisions

P. V. Nagamani, Manyam Thaile, Meghna Raj, Medikonda Asha Kiran et al.
13 citations
Data Visualization and Analytics
16.59
article

VisuaStat: Visualizing Data and Simplifying Decisions

P. V. Nagamani, Manyam Thaile, Meghna Raj, Medikonda Asha Kiran, Ramesh Babu Pittala, Racharla Vyshnav Mani Teja, Lakshmi Prasanna Byrapuneni
article en
13 citations

Abstract

Ahstract- VisuaStat specializes in transforming raw, complex datasets into simple, easy-to-understand visualizations that any-one can interpret without expertise, making data-driven decision-making a reality for everyone. Data is one of the prominent features intertwined into several of the most technologically developed industries we have in addition to research. Hence, VisuaStat provides a way to explore, analyze, and interpret data at your will, with or without the necessary technical know-how you would have had. For example, VisuaStat allows users to upload datasets in different formats and get instant visualizations, including heatmaps, correlation matrices, distribution graphs, and boxplots. This feature can help you make data visualizations so you can see patterns, relationships, outliers, etc., which can provide essential insights for business decisions, research studies, and even academic submissions. Fundamental exploratory data analysis (EDA) functions like summary statistics and correlation analysis are provided here as a means for users to better understand the structure and trends in their data. Another key aspect of VisuaStat is its intuitive layout making it navigation friendly for users lacking experience in data analysis. So, complex functions can be automated at the platform's back end. Then, the output generated is saved in Firebase so a user can pick and choose any visualizations of their choice to display. Integrating with Firebase gives VisuaStat data and insights into cloud-based infrastructure - anywhere, anytime- whilst ensuring security and scale. VisuaStat can scale quickly to implement features such as machine learning for prediction and granularity of analysis in the near term.

Advanced Numerical Research and Analysis Group (IN)
Openalex Percentile: Top 1%
Data Visualization and Analytics
16.59
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