Week 5: Manipulate, Facet, Reduce Encode Manipulate Facet Encode - PowerPoint PPT Presentation

Now How to handle complexity: 3 more strategies + 1 previous How? Week 5: Manipulate, Facet, Reduce Encode Manipulate Facet Encode Manipulate Facet • Manipulate Reduce Manipulate Facet Reduce Map Derive Arrange Change Juxtapose Filter • Facet (not covered last week) Demo: Text from categorical and ordered Express Separate attributes Change Juxtapose Filter • Reduce Color Hue Saturation Luminance Select Partition Aggregate Order Align • Demos/Videos Size, Angle, Curvature, ... – LineUp • change view over time Use Navigate Superimpose Embed Select Partition Aggregate Tamara Munzner – LiveRAC Shape • facet across multiple Department of Computer Science – Cerebral views University of British Columbia • Demos: Text Motion Direction, Rate, Frequency, ... • reduce items/attributes Navigate Superimpose Embed – Overview JRNL 520M, Special Topics in Contemporary Journalism: Visualization for Journalists within single view Week 5: 13 October 2015 – TimeLineCurator • derive new data to http://www.cs.ubc.ca/~tmm/courses/journ15 show within view 2 3 4 Idiom: Re-encode System: Tableau How to handle complexity: 3 more strategies + 1 previous VAD Ch 11: Manipulate Change over time • change any of the other choices Manipulate Facet Reduce Change over Time Navigate Derive – encoding itself Item Reduction Change Juxtapose Filter – parameters Zoom – arrange: rearrange, reorder Geometric or Semantic – aggregation level, what is filtered... Select • change over time Select Partition Aggregate – interaction entails change Pan/Translate - most obvious & flexible of the 4 strategies Navigate Superimpose Embed Constrained made using Tableau, http://tableausoftware.com 5 6 7 8 Idiom: Reorder System: LineUp Idiom: Realign System: LineUp Idiom: Animated transitions Navigate: Changing item visibility Navigate • data: tables with many attributes • stacked bars • smooth transition from one state to another • change viewpoint Item Reduction • task: compare rankings – easy to compare – alternative to jump cuts – changes which items are visible within view Zoom • first segment – support for item tracking when amount of change is limited – camera metaphor Geometric or Semantic • total bar • example: multilevel matrix views • zoom • align to different segment – geometric zoom: familiar semantics – scope of what is shown narrows down – semantic zoom: adapt object representation based on available pixels – supports flexible comparison • middle block stretches to fill space, additional structure appears within » dramatic change, or more subtle one Pan/Translate • other blocks squish down to increasingly aggregated representations • pan/translate • rotate – especially in 3D Constrained – constrained navigation • often with animated transitions • often based on selection set [LineUp: Visual Analysis of Multi-Attribute Rankings.Gratzl, Lex, Gehlenborg, Pfister, and Streit. IEEE [LineUp: Visual Analysis of Multi-Attribute Rankings. Gratzl, Lex, Gehlenborg, Pfister, and Streit. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis [Using Multilevel Call Matrices in Large Software Projects. van Ham. Proc. IEEE Symp. Information Visualization (InfoVis), pp. 227–232, 2003.] Trans. Visualization and Computer Graphics (Proc. InfoVis 2013) 19:12 (2013), 2277–2286.] 2013) 19:12 (2013), 2277–2286.] 9 10 11 12 Idiom: Semantic zooming System: LiveRAC VAD Chap 11: Facet Into Multiple Views How to handle complexity: 3 more strategies + 1 previous Facet • visual encoding change Coordinate Multiple Side By Side Views Juxtapose Juxtapose Manipulate Facet Reduce Derive – colored box Share Encoding: Same/Di ff erent Change Juxtapose Filter – sparkline Linked Highlighting – simple line chart Partition Partition – full chart: axes and tickmarks • facet data across Share Data: All/Subset/None Select Partition Aggregate multiple views Superimpose Superimpose Share Navigation Navigate Superimpose Embed [LiveRAC - Interactive Visual Exploration of System Management Time-Series Data. McLachlan, Munzner, Koutsofios, and North. Proc. ACM Conf. Human Factors in Computing Systems (CHI), pp. 1483–1492, 2008.] 13 14 15 16