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Quantum Sensing Trends Visualization Tool

Create an efficient tool for the USAF to detect trends in Quantum Sensing research using data visualization. Overcame formatting issues to provide multi-perspective insights. Challenges led to a revamped design featuring Tag Cloud, Bubble Chart, Bar Graph, and Line Graph components. Despite setbacks, valuable lessons on development and design processes were gained.

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Quantum Sensing Trends Visualization Tool

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  1. Quantum Sensing Trends Project Andrew Wharton December 8, 2012

  2. Objective • Visualization for the USAF to detect trends for Quantum Sensing research • Easy, efficient tool • Provide more than one perspective

  3. Data • One excel spreadsheet • Poor labeling • Formatting issues • One BibTex file • Tough to export into CSV format • Used Mendeley to export to RIS • Then used JabRef to convert RIS into CSV • *CSV is format desired for d3 use

  4. Parsing and Filtering • Inconsistent format between two files • Also too much data—needed to filter • Imported CSV into MySQL DB • Used queries to filter data • Export query results back to CSV • Import CSV into d3

  5. Initial Design • Animated bubble chart using d3 • Bubble represents keyword, size indicates frequency

  6. Problems • Too many years to share screen space • Unable to distinguish bubbles • Could not easily detect trends over time • Identified this as a potential issue in the beginning, but decided to use colors to group bubbles across years • But, there were too many keywords, so colors were not unique • Programming bugs • Animation was not working

  7. Re-Design • Keep it simple, but try something new using existing systems • Create multiple components using Tableau, ManyEyes • Integrate these components to provide user with opportunity to explore and discover in multiple ways

  8. Idea • Four components • Tag Cloud • Provides overview • Bubble Chart • Also provides overview, but in a different way • Bar Graph • Shows breakdown over the years • Line Graph • Easier way to identify trend over time • All sortable by year, keyword(s)

  9. Demo • Click here

  10. Result • Not quite the “wow” factor as initial design • Still answers questions • Decided to discard BibTex data • Too few results, skewed the data and portrayed an inaccurate visualization • Lessons learned with design and development • New frameworks = LOTS of overhead • If few existing examples, re-prioritize based on time • Don’t go against basic design principles • Being new is great, but a backup plan is needed in event of failure

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