CSE 557A | Sep 28, 2016 INFORMATION VISUALIZATION Alvitta Ottley Washington University in St. Louis Slide Credits: Mariah Meyer, University of Utah Remco Chang, Tufts University
Recap… Visual Encoding
identify (what and where) magnitude (how much)
identify (what and where) magnitude (how much)
Expressiveness & effectiveness
magnitude (how much) identify (what or where) expressiveness
Where do the ranking come from?
encoding semantics Ware 2010
Today… More on data mapping Multidimensional data
IN CLASS EXERCISE • 4 groups • Each group is assigned a visual channel: • shape, color, length, area • Represent the following dataset using only your visual channel Animal Times bitten Animal Color Animal Level training Cat 2 Cat brown Cat high Dog 12 Dog brown Dog poor Bird 6 Bird blue Bird fair
EXAMPLE D Animal Times bitten Cat 2 Dog 12 B Bird 6 C 0 2 4 6 8 10 12 14
EXAMPLE Animal Color Animal Times bitten Cat brown Cat 2 blue Dog brown Dog 12 B brown Bird blue Bird 6 D C
EXAMPLE GOOD Animal Animal Times bitten Level training C Level of training Cat Cat 2 high Dog Dog 12 poor Bird Bird 6 fair B D POOR
IN CLASS EXERCISE • 4 groups of 4 • Each group is assigned a visual channel: • shape, color, length, area • Represent the following dataset using only your visual channel Animal Times bitten Animal Color Animal Level training Cat 2 Cat brown Cat high Dog 12 Dog brown Dog poor Bird 6 Bird blue Bird fair
WHAT ABOUT A TABLE WITH MORE DIMENSIONS?
TABLE LENS Rao, Card (1994) •
TABLE LENS
TABLE LENS
TABLE LENS
TABLE LENS Video: http://www.open-video.org/details.php?videoid=8304 •
PARALLEL COORDINATES
PARALLEL COORDINATES
DIMENSION ORIENTATION Dasgupta InfoVis 2010
DIMENSION ORDERING
DIMENSION ORDERING
DENSITY REDUCTION Johansson EuroVis 2008
PROTOVIS DEMO
LOTS OF EXTENSIONS… Drosophila Gene Expression Data Exploration and Visualization Lawrence Berkeley National Lab
LOTS OF EXTENSIONS… Fanea et al. InfoVis 05 Villaveces, UNC / Renci Streit, Cytometry Part A, 2006
Due next in 2 weeks
NEXT TIME… Perception
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