1 / 11

Dynamic Queries

Dynamic Queries. cs5984: Information Visualization Chris North. Assignment. Read for Tues: Roth, “Visage”, web (video) josh, priya North, “Snap-Together Visualization”, web Multiple Views. Assignment. Read for Thurs Plaisant, “Lifelines”, p 285 chris r., margaret

blenda
Download Presentation

Dynamic Queries

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Dynamic Queries cs5984: Information Visualization Chris North

  2. Assignment • Read for Tues: • Roth, “Visage”, web (video) • josh, priya • North, “Snap-Together Visualization”, web • Multiple Views

  3. Assignment • Read for Thurs • Plaisant, “Lifelines”, p 285 • chris r., margaret • Mackinlay, “Perspective Wall”, web • sumithra, gowri • Read for nextnext tues • Eick, “SeeSoft”, p 419 • purvi, prasuna • Eick, “Data Visualization Sliders”, p 251 (2 pages) • Homework #1 due Monday 5pm

  4. HomeFinder

  5. Spotfire

  6. Limitations • Scale: • Scatterplot screen space: 10,000 – 1,000,000 • Data structures & algorithms: 50,000 – 1,000,000 • Poor screen drawing on Filter out • A Solution: Query Previews! • AND queries only • Arbitrary boolean queries? • A solution: Filter Flow • Another solution: Magic Lens

  7. DQ Algorithm • Idea: incremental algorithm, only deal with data items that change state • When slider moves: • Calculate slider delta • Search in data structure for data items in the delta region • If slider moved inward (filter out): • Erase data items from visualization • Else (filter in): • Draw data items on visualization Problem! Overlapped items, erases items underneath too

  8. DQ Data Structures • Sorted array of the data for each slider • Need counter for each data item = # sliders that filter it • Multi-dimensional data structure • E.g.: K-d tree • Recursively split space • Enables fast range search

  9. Filter-Flow

  10. Today • Fishkin, “Movable filters” (Magic Lens), p253 • prasuna, umer • Doan, “Query Previews”, web page • aarthi, ameya

  11. Review • Many attributes: • Many items: • Very Many items: • Hard! Why? • Can’t show everything, interaction is key

More Related