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Data Visualization

Data Visualization. David Karger. Visualization Drives Insight. We need visualizations to help us understand our data Formulate hypotheses Then test/confirm them We use visualizations to communicate our insights to others. Visualizing Heterogeneous Data.

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Data Visualization

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  1. Data Visualization David Karger NSF Site Visit to MIT DataSpace

  2. Visualization Drives Insight • We need visualizations to help us understand our data • Formulate hypotheses • Then test/confirm them • We use visualizations to communicate our insights to others NSF Site Visit to MIT DataSpace

  3. Visualizing Heterogeneous Data • We propose to make data more available • Which will encourage scientists to gather it across disciplines • How will they look at it once they have it? • Discipline-specific visualization tools won’t know what to do with other Disciplines’ data • We need data-agnostic visualization tools • Must we recourse to spreadsheets? NSF Site Visit to MIT DataSpace

  4. Visualization Ontologies • We can ontologize the different ways of looking at information • Selection of attributes, layout, means of filtering • View descriptions can travel with the data • Ontology-aware tools can generate suitable visualizations on a variety of platforms • Scientists can publish their visualizations with their conclusions NSF Site Visit to MIT DataSpace

  5. Fresnel Visualization OntologyLongwell Browser • dsp:publicationFacets rdf:type facets:FacetSet; facets:facets ( dc:type dc:publisher dc:contributor dc:subject ); facets:types ( ow:Publication ) . dsp:publicationLabelLens rdf:type :Lens; :classLensDomain ow:Publication; :group gr:group; :purpose :labelLens; :showProperties ( dc:title ) .dsp:publicationLens rdf:type :Lens; :classLensDomain ow:Publication; :group gr:group; :purpose :defaultLens; :showProperties ( dc:description dc:identifier dc:creator dc:contributor dc:date dc:subject dc:type dc:publisher dc:rights ) . dsp:creatorFormat rdf:type :Format; :group gr:group; :propertyFormat [ rdf:type :FormatDescription ; :contentNoValue "[none]" ]; NSF Site Visit to MIT DataSpace

  6. Exhibit Framework • In-HTML-document visualization ontology • Author creates a data set • Excel spreadsheet, tabbed file, XML file, JSON • Then writes HTML document • Specify view by embedding HTML “tags” from viz ontology • Our javascript makes the data-interactive viz NSF Site Visit to MIT DataSpace

  7. Deployment • Deployed 2 years ago • Hundreds of exhibits created in the wild • Healthy open source community • Fixing bugs, extending with new views • Timeline on opendata.gov for several months NSF Site Visit to MIT DataSpace

  8. NSF Site Visit to MIT DataSpace

  9. NSF Site Visit to MIT DataSpace

  10. NSF Site Visit to MIT DataSpace

  11. NSF Site Visit to MIT DataSpace

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  14. NSF Site Visit to MIT DataSpace

  15. Inside a Wiki NSF Site Visit to MIT DataSpace

  16. NSF Site Visit to MIT DataSpace

  17. Or a BLOG NSF Site Visit to MIT DataSpace

  18. NSF Site Visit to MIT DataSpace

  19. Going Forward • Refine our understanding of the universal concepts of information visualization • Deploy domain-independent tools that can use visualization descriptions to create effective visualizations of arbitrary data drawn from many locations • Data comes with its visualization descriptions • Fed to specialized widgets that fit the descriptions NSF Site Visit to MIT DataSpace

  20. What Widgets? • Descriptions aren’t programs • Won’t implement highly specialized views • Gene map, pie chart, heat map, star chart, scatter plot, chemical bond diagram… • But these views can be implemented/packaged/downloaded for incorporation into the visualizers • Visualization “app store” • Then referenced in viz description NSF Site Visit to MIT DataSpace

  21. NSF Site Visit to MIT DataSpace

  22. NSF Site Visit to MIT DataSpace

  23. Scientific Publication • At present, all our rich interactive visualization tools are inside the lab • When it’s time to publish, we use papers with dead ink charts • Move to publication of rich visualization descriptions inside the article • Show the reader not just conclusions, but the way you looked at your data to reach them NSF Site Visit to MIT DataSpace

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