Interactive Glyph Graphics of Multivariate Data in Psychometrics

Gauguin (Grouping And Using Glyphs Uncovering Individual Nuances) is statistical data visualization software for the interactive graphical exploration of multivariate data using glyph representations. Glyphs are defined as geometric shapes scaled by the values of multivariate data. Each glyph represents one high-dimensional data point or the prototype (average) of a group or cluster of data points. This paper reviews the capabilities, functionality, and interactive properties of this software package. Key features of Gauguin are illustrated with data from the Programme for International Student Assessment.

[1]  Michael D. Lee,et al.  An Empirical Evaluation of Chernoff Faces, Star Glyphs, and Spatial Visualisations for Binary Data , 2003, InVis.au.

[2]  Matthew O. Ward,et al.  Multivariate Data Glyphs: Principles and Practice , 2008 .

[3]  E. Wegman Hyperdimensional Data Analysis Using Parallel Coordinates , 1990 .

[4]  Matthew O. Ward,et al.  A Taxonomy of Glyph Placement Strategies for Multidimensional Data Visualization , 2002, Inf. Vis..

[5]  Andrew Gelman,et al.  Let's Practice What We Preach , 2002 .

[6]  R. Hambleton,et al.  Handbook of Modern Item Response Theory , 1997 .

[7]  Howard Wainer,et al.  Picturing the Uncertain World: How to Understand, Communicate, and Control Uncertainty through Graphical Display , 2009 .

[8]  P. Groenen,et al.  Modern multidimensional scaling , 1996 .

[9]  H. Hofmann Mosaic Plots and Their Variants , 2008 .

[10]  Beat Kleiner,et al.  Graphical Methods for Data Analysis , 1983 .

[11]  Martin Theus,et al.  Interactive Data Visualization using Mondrian , 2002 .

[12]  Simon Urbanek,et al.  Interactive graphics for Data Analysis - Principles and Examples , 2008, Computer science and data analysis series.

[13]  Matthew O. Ward,et al.  XmdvTool: integrating multiple methods for visualizing multivariate data , 1994, Proceedings Visualization '94.

[14]  Alfred Inselberg Visual Data Mining with Parallel Coordinates , 1998 .

[15]  Martin Theus,et al.  Visualizing Loglinear Models , 1999 .

[16]  J. Corter Tree Models of Similarity and Association , 1983 .

[17]  H. Wainer,et al.  Differential Item Functioning. , 1994 .

[18]  Peter J. Rousseeuw,et al.  Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .

[19]  Alfred Inselberg,et al.  The plane with parallel coordinates , 1985, The Visual Computer.

[20]  Deborah F. Swayne,et al.  Interactive and Dynamic Graphics for Data Analysis - With R and GGobi , 2007, Use R.

[21]  John M. Chambers,et al.  Graphical Methods for Data Analysis , 1983 .

[22]  H. P. Friedman,et al.  The surgical implications of physiologic patterns in myocardial infarction shock. , 1972, Surgery.

[23]  H. Chernoff,et al.  Effect on Classification Error of Random Permutations of Features in Representing Multivariate Data by Faces , 1975 .

[24]  Colin Ware,et al.  Information Visualization: Perception for Design , 2000 .

[25]  Herman Chernoff,et al.  The Use of Faces to Represent Points in k- Dimensional Space Graphically , 1973 .

[26]  Antony Unwin,et al.  Graphics of a Large Dataset , 2006 .

[27]  H. Riedwyl,et al.  Graphical Representation of Multivariate Data by Means of Asymmetrical Faces , 1981 .

[28]  Antony Unwin,et al.  Requirements for interactive graphics software for exploratory data analysis , 1999, Comput. Stat..

[29]  Geoffrey R. Loftus,et al.  A picture is worth a thousandp values: On the irrelevance of hypothesis testing in the microcomputer age , 1993 .

[30]  Peter C. Wang,et al.  Graphical Representation of Multivariate Data , 1978 .

[31]  William N. Venables,et al.  Modern Applied Statistics with S , 2010 .

[32]  Leland Wilkinson The Grammar of Graphics , 1999 .

[33]  Klaas Sijtsma,et al.  Introduction to Nonparametric Item Response Theory , 2002 .

[34]  A. Ünlü,et al.  Interactive Visualization of Assessment Data , 2009 .

[35]  William S. Cleveland,et al.  Visualizing Data , 1993 .

[36]  Lawrence A. Bruckner ON CHERNOFF FACES , 1978 .

[37]  Ramana Rao,et al.  The table lens: merging graphical and symbolic representations in an interactive focus + context visualization for tabular information , 1994, CHI '94.

[38]  Deepayan Sarkar,et al.  Lattice: Multivariate Data Visualization with R , 2008 .

[39]  David S. Ebert,et al.  Experimental analysis of the effectiveness of features in Chernoff faces , 2000, Applied Imaging Pattern Recognition.

[40]  E. Ziegel COMPSTAT: Proceedings in Computational Statistics , 1988 .

[41]  David L. Huff,et al.  A MULTIVARIATE GRAPHIC DISPLAY FOR REGIONAL ANALYSIS , 1978 .

[42]  Michael Friendly,et al.  Visual Statistics: Seeing Data with Dynamic Interactive Graphics , 2006 .