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Survey Visualization

DESCRIPTION

This project analyzes relationships between survey responses using data from the National Election Studies and Behavioral Risk Factor surveys. With 1,000 to 100,000 respondents and hundreds of questions, we utilize correlation statistics to measure the closeness between variables. Implemented with InfoVis and SGT Toolkits, our visualization enables users to explore correlations through a user-friendly interface. Users can view raw data, questionnaires, and filters to identify significant relationships, enhancing understanding of voter behavior and health factors.

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Survey Visualization

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Presentation Transcript

  1. Survey Visualization Maria Tkatchenko CPSC 533C December 15, 2004

  2. Problem • Survey composed of • Questionnaire • Collected data • Want to explore relationships between responses to various questions

  3. Data set • National Election Studies center’s pre- and post-election surveys • National Center for Chronic Disease Prevention and Health Promotion Behavioral Risk Factor survey • 1K - 100K respondents • 100s of questions (dimensions)

  4. Statistics • Correlation • measure of “closeness” of two sets of data • degree to which the association of two variables approaches a linear function • ranges from -1 to 1 • higher (absolute) value is better

  5. Main elements of solution

  6. Textual View

  7. Questionnaire View

  8. Correlation View

  9. Raw Data View (1)

  10. Raw Data View (2)

  11. Control Panel

  12. Implementation • InfoVis Toolkit • SGT Toolkit • Java 2D and Swing • Data formats • CSV, converted to TQD • TXT

  13. Let’s explore one possible scenario

  14. Find a question

  15. Correlation View

  16. Questionnaire View

  17. Raw Data View

  18. Interestingcorrelationwith:

  19. Correlation View

  20. Questionnaire View

  21. Interestingcorrelationwith:

  22. Raw Data View

  23. Another scenario

  24. Filter

  25. Questions

  26. Find a few correlations of interest

  27. Select correlations

  28. Cross-correlations

  29. Questions?

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