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SOCRAT: a Dynamic Web Toolbox for Interactive Data Processing, Analysis and Visualization.

Alexandr A Kalinin1,2,3,4, Selvam Palanimalai1, Junqi Zhu1

  • 1Statistics Online Computational Resource (SOCR), Department of Health Behavior and Biological Sciences, University of Michigan, Ann Arbor, MI 48104, USA.

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Summary
This summary is machine-generated.

The Statistics Online Computational Resource Analytical Toolbox (SOCRAT) offers a flexible, web-based framework for visual data analytics. It integrates diverse tools, simplifying complex data exploration and analysis without requiring extensive coding or software installation.

Keywords:
exploratory analysisstatistical visualizationvisual analyticsweb toolkits

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Area of Science:

  • Computer Science
  • Data Science
  • Information Visualization

Background:

  • Traditional data analytics tools often demand platform-specific installations, coding proficiency, and specialized expertise.
  • The proliferation of web technologies has spurred online data exploration tools, yet these solutions are frequently fragmented and application-specific.
  • This fragmentation leads to redundant development efforts for common functionalities, hindering innovation in visual analytics.

Purpose of the Study:

  • To introduce the Statistics Online Computational Resource Analytical Toolbox (SOCRAT), a novel web-based framework for visual analytics.
  • To address the limitations of scattered and problem-specific online visual analytics solutions.
  • To provide a dynamic, flexible, and extensible platform for integrated data analysis and visualization.

Main Methods:

  • Developed SOCRAT as a web-based visual analytics framework utilizing multi-level modularity and declarative specifications.
  • Integrated diverse, independently developed tools for data import, storage, display, interactive visualization, statistical analysis, and machine learning.
  • Employed flexible template modules to combine existing in-browser solutions into a cohesive toolbox.

Main Results:

  • SOCRAT provides a unified, extensible platform for visual and statistical data analysis.
  • The framework facilitates the integration of various data management, analysis, and visualization components.
  • Demonstrated through use cases the platform's capability in analyzing heterogeneous data types.

Conclusions:

  • SOCRAT offers a powerful, feature-rich solution for web-based visual analytics, overcoming the limitations of existing fragmented tools.
  • The platform's modular design promotes innovation and reduces re-implementation efforts in visual analytics application development.
  • SOCRAT enables accessible and sophisticated visual and statistical analysis of diverse datasets.