Multi-Dimensional Data Visualization (Parallel Coordinates) 袁晓如 北京大学 2009年12月25日 1 Parallel Coordinates History • Invented by Inselberg (1985) for computational geometry http://www.math.tau.ac.il/~aiisreal/ • Introduced by Wegman (1990) for hyper-dimensional data analysis • Reveal data relationships, anomalies, structures & trends • Widely used in the statistics, data analysis and visualization domain 2 Star Glyphs 4 Scatterplot Matrix 5 Chernoff Faces 6 Multidimensional Scaling 7 Parallel Coordinates Basics • To represent N dimensional data – Set N vertical axes in parallel – Put data to intersects on corresponding axes – Connect intersects 8 Reorder Parallel Coordinates Original Reordered 9 Curved Parallel Coordinates More fluently visibility but drawing curves takes more time and processing 10 Parallel Coordinate View of a Firewall Log File 11 Visual Clustering in Parallel Coordinates [EuroVis 2008] 13 Visual Clustering in Parallel Coordinates 14 Modeling visual interaction between lines 15 16 17 18 19 20 21 Splatting the Lines in Parallel Coordiantes [EuroVis 2009] 22 [EuroVis’09] (CGF’09) Polyline Splatter 23 Segment Splatter 24 Scatter Plots Scatter Plot Scatter Plot Matrix From sas.com 25 Line vs. Point Representation 26 Line vs. Point Representation 27 Line vs. Point Representation 28 Data Exploration with PC 7 variables and 392 data items. [InfoVis 2009] (Under review) 29 Data Exploration with SPPC 30 [InfoVis’09] (TVCG’09) SPPC – Converting Lines into Points Parallel Coordinates Scatter Plot 31 Scattering Points in Parallel Coordinates - SPPC 32 Scattering Points in Parallel Coordinates - SPPC 33 Extension in point distribution - DMS Scatter Plots Parallel Coordinates MDS 35 Dimensional Incremental Multidimensional Scaling (DIMDS) MDS DIMDS 38 DIMDS Performance 39 DIMDS Order MDS DIMDS - order 1 40 DIMDS - order 2 Data Exploration with SPPC 41 Application – Intestinal Gastric Cancer • DNA Microarray data 42 Interactive Local Clustering Operations [PacificVis 2010] 44 Interactive Local Clustering Operations 45 Local Clustering Operations 46 Local Clustering Operations 47 Interactive Local Clustering Operations 53 Interactive Local Clustering Operations 54 Parallel Coordinates Application in RFID 56 [Vis 2009] (TVCG’09) Demo • Video • PC application (NBA data) • Software download http://vis.pku.edu.cn/software/ 57 Visualization Research at Peking University http://vis.pku.edu.cn http://vis.pku.edu.cn/wiki Email: [email protected] 58
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