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Interactive graphics: exemplified with real data applications.

Waqas Ahmed Malik1, Ali Unlü

  • 1Department of Mathematics, University of Augsburg Augsburg, Germany.

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This summary is machine-generated.

Interactive graphics enhance data exploration and quality analysis in statistics. This study advocates for their use, demonstrating benefits with complex datasets.

Keywords:
PCI-2 AE datasetair flight delay datasetdata miningdata visualizationexploratory data analysisinteractive graphicsoutliersremote sensed dataset

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Area of Science:

  • Statistics
  • Data Visualization
  • Computer Science

Background:

  • Graphics are essential in applied statistics for effective information presentation.
  • Static plots lack user interaction, limiting data exploration capabilities.
  • Interactive graphics offer flexibility and control for in-depth data investigation.

Purpose of the Study:

  • To explain the concept and utility of interactive graphics.
  • To advocate for the adoption of interactive graphics as a practical data analysis tool.
  • To demonstrate the advantages of interactive graphics in data exploration and quality assessment.

Main Methods:

  • Systematic illustration of interactive graphics' benefits.
  • Application to three complex, real-world datasets.
  • Focus on data exploration and data quality analyses.

Main Results:

  • Interactive graphics facilitate a more flexible and controlled approach to data analysis.
  • Enhanced interpretability and informativeness of data views through user interaction.
  • Demonstrated effectiveness in uncovering insights from complex datasets.

Conclusions:

  • Interactive graphics are powerful tools for modern statistical analysis.
  • Their use significantly improves data exploration and quality assessment processes.
  • The study provides practical evidence supporting the adoption of interactive visualization techniques.