Revisiting bertin matrices: New interactions for crafting tabular visualizations

IEEE Transactions on Visualization and Computer Graphics

Volumn 20, Issue 12, 2014, Pages 2082-2091

  Perin, Charles ^a   Dragicevic, Pierre ^b   Fekete, Jean Daniel ^b  

^a UNIVERSITÉ PARIS SACLAY   (France)

^b INRIA   (France)

Author keywords

Bertin; Crossets; Crossing; Interaction; Tabular Data; Visualization

Indexed keywords

FLOW VISUALIZATION;

BERTIN; CROSSETS; INTERACTION; TABULAR DATA;

CROSSINGS (PIPE AND CABLE);

COMPUTER GRAPHICS; COMPUTER PROGRAM; HUMAN; INFORMATION PROCESSING; INTERNET;

COMPUTER GRAPHICS; DATA DISPLAY; HUMANS; INTERNET; SOFTWARE;

EID: 84910096865     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2014.2346279     Document Type: Article

References (60)

1. J. Accot and S. Zhai. More than dotting the i's-foundations for crossing-based interfaces. In Proc. CHI '02, pages 73-80. ACM, 2002.
2. G. Apitz and F. Guimbretière. Crossy: A crossing-based drawing application. In Proc. UIST '04, pages 3-12. ACM, 2004.
3. ARTICQUE. Cartes et données, 2013. Available at www.articque. com/solutions/cartes-et-donnees/.
4. Z. Bar-Joseph, D. K. Gifford, and T. S. Jaakkola. Fast optimal leaf ordering for hierarchical clustering. Bioinformatics, 17:S22-S29, 2001.
5. P. Baudisch. Don't click, paint! using toggle maps to manipulate sets of toggle switches. In Proc. UIST '98, pages 65-66. ACM, 1998.
6. M. Beaudouin-Lafon. Instrumental interaction: An interaction model for designing post-wimp user interfaces. In Proc. CHI '00, pages 446-453. ACM, 2000.
7. W. H. Benson and B. Kitous. Interactive analysis and display of tabular data. SIGGRAPH Comput. Graph., 11(2):48-53, July 1977.
8. J. Bertin. S émiologie graphique: Les diagrammes-Les réseaux-Les cartes. Mouton/Gauthier-Villars, 1967.
9. J. Bertin. Graphique et mathématique: Généralisation du traitement graphique de l'information. Annales. Économies, Sociétés, Civilisations, 24(1):70-101, 1969.
10. J. Bertin. La graphique et le traitement graphique de l'information. Nou-velle bibliothèque scientifique. Flammarion, 1975.
11. J. Bertin. Graphics and Graphic Information Processing. De Gruyter, Berlin, 1981. Translation: William J. Berg, Paul Scott.
12. J. Bertin. Cahier des charges pour un mini-ordinateur "graphique". Actes du second Colloque de micro-info-graphique de Rouen (Unpublished). Available at http://www.aviz.fr/wiki/uploads/Bertifier/bertin-1982-cahier.pdf, 1982.
13. J. Bertin. S émiologie graphique: Les diagrammes-Les réseaux-Les cartes. Editions de l'Ecole des Hautes Etudes en Sciences, Paris, France, les réimpressions edition, 1999.
14. J. Bertin and J.-H. Chauchat. Logiciel amado (analyse graphique d'une matrice de données). CISIA, France, 1994.
15. G. Caraux and S. Pinloche. PermutMatrix: a graphical environment to arrange gene expression profiles in optimal linear order. Bioinformatics, 21(7):1280-1281, Apr. 2005.
16. S. K. Card, J. D. Mackinlay, and B. Shneiderman, editors. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1999.
17. A. de Falguerolles, F. Friedrich, and G. Sawitzki. A tribute to J. Bertin's graphical data analysis. In Advances in Statistical Software 6, pages 11-20. Lucius & Lucius, 1997.
18. J. Díaz, J. Petit, and M. Serna. A survey of graph layout problems. ACM Comput. Surv., 34(3):313-356, Sept. 2002.
19. A. Dix and G. Ellis. Starting simple: Adding value to static visualisation through simple interaction. In Proc. AVI '98, pages 124-134. ACM, 1998.
20. EVS. European values study 1981-2008, longitudinal data file, 2011.
21. J.-D. Fekete, J. J. Wijk, J. T. Stasko, and C. North. The value of information visualization. In A. Kerren, J. T. Stasko, J.-D. Fekete, and C. North, editors, Information Visualization, pages 1-18. Springer-Verlag, Berlin, Heidelberg, 2008.
22. S. Few. The slow data movement: My hope for 2013. http://www. perceptualedge.com/blog/?p=1460. Online, accessed 2013-03-22., 2013.
23. J. Fras, R. Gimeno, and P. Vicens. Matrix: programme de traitement matriciel en Basic TO7. CNDP, 1984.
24. J. Fuchs, P. Isenberg, A. Bezerianos, F. Fischer, and E. Bertini. The influence of contour on similarity perception of star glyphs. TVCG, 2014. To appear.
25. M. Gardet and Y. Irid. Archives du laboratoire de cartographie, inventaire, 2012.
26. W. A. Gibson. A simple procedure for rearranging matrices. Psychome-trika, 18(2):111-113, 1953.
27. R. Gimeno and M.-F. coise Durand. Mise en place et utilisation d'un logiciel de cartographie et traitement des données dans l'enseignement de la géographie. Revue de géographie de Lyon, 63(2):64-68, 1988.
28. Y. Girault and T. Rukingama. Evaluation de l'exploitation d'une visite au zoo par le traitement graphique. 1988.
29. R. Gosselin. Talk, 2008. Available at http://rg75.free.fr/hyperespace.T-AlK.fr.htm.
30. T. R. G. Green and M. Petre. Usability analysis of visual programming environments: a 'cognitive dimensions' framework. Journal of Visual Languages & Computing, 7(2):131-174, 1996.
31. B. F. Green Jr. The computer revolution in psychometrics. Psychometrika, 31(4):437-445, 1966.
32. L. Guttman. What is not what in statistics. Journal of the Royal Statistical Society. Series D (The Statistician), 26(2):81-107, 1977.
33. N. Henry and J. Fekete. Matrixexplorer: a dual-representation system to explore social networks. TVCG, 12(5):677-684, Sept 2006.
34. H. Hinterberger. The visulab®: an instrument for interactive, comparative visualization. 2010.
35. S. Huron, Y. Jansen, and S. Carpendale. Constructing visual representations: Investigating the use of tangible tokens. TVCG, 2014. To appear.
36. E. Kwan, I. R. R. Lu, and M. Friendly. Tableplot: A new tool for assessing precise predictions. Zeitschrift fur Psychologie/Journal of Psychology, 217(1):38-48, 2009.
37. J. Le Fourn and A. Mailles. Un micro ordinateur graphique: Programmes realises et exemples d'application. 1984.
38. J. Li, J.-B. Martens, and J. J. van Wijk. A model of symbol size discrimination in scatterplots. In Proc. CHI '10, pages 2553-2562. ACM, 2010.
39. I. Liiv. Seriation and matrix reordering methods: An historical overview. Stat. Anal. Data Min., 3(2)70-91, Apr. 2010.
40. S. Lin, J. Fortuna, C. Kulkarni, M. Stone, and J. Heer. Selecting semantically-resonant colors for data visualization. In Proc. EuroVis '13, pages 401-410. Eurographics Association, 2013.
41. P. Orus and G. Villarroya. TGINF: graphic information processing for teaching. Reims, France, 2003.
42. G. Palsky. L'esprit des cartes: approches historiques, semiologiques et sociologiques en cartographie: diplome d'habilitation a diriger des recherches. Universite de Paris XII-Val-de-Marne, 2003.
43. R Rao and S. K. Card. The table lens: Merging graphical and symbolic representations in an interactive focus + context visualization for tabular information. In Proc. CHI '94, pages 318-322. ACM, 1994.
44. W. S. Robinson. A method for chronologically ordering archaeological deposits. American Antiquity, 16(4):293-301, 1951.
45. S. Rubin. Available at www.eecs.berkeley.edu/srubin/toys/reorderable/.
46. G. Sawitzki. Extensible statistical software: On a voyage to oberon. Journal of Computational and Graphical Statistics, 5(3):263-283, 1996.
47. G. Sawitzki. Bertin matrices. an R implementation, 2012.
48. B. Shneiderman. Direct manipulation: A step beyond programming languages. Computer, 16(8):57-69, Aug. 1983.
49. H. Siirtola. Interaction with the reorderable matrix. In Proc. IV '99, pages 272-277. IEEE, 1999.
50. H. Siirtola. Interactive cluster analysis. In Proc. IV '04, pages 471-476. IEEE, 2004.
51. H. Siirtola and E. Makinen. Constructing and reconstructing the reorderable matrix. Information Visualization, 4(1):32-48, Mar. 2005.
52. M. Spenke, C. Beilken, and T. Berlage. Focus: The interactive table for product comparison and selection. In Proc. UIST '96, pages 41-50. ACM, 1996.
53. E. A. Suchman. The scalogram board technique for scale analysis. Studies in Social Psychology in World War II, 4:91-121, 1950.
54. Tableau Software, 2014. www.tableausoftware.com/.
55. F. Vergneault, R. Lamontagne, and J. Bertin. Traitement graphique d'une information: les marines royales de france et de grande-bretagne (1697-1747). Annales. Economies, Societes, Civilisations, 22(5):991-1004, 1967.
56. B. Victor. Drawing dynamic visualizations. Stanford HCI Seminar. Video available at http://vimeo.com/66085662, 2013.
57. P. Wegner. Why interaction is more powerful than algorithms. Commun. ACM, 40(5):80-91, May 1997.
58. L. Wilkinson. Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54(8):594-604, Aug. 1999.
59. L. Wilkinson and M. Friendly. The history of the cluster heat map. The American Statistician, 63(2):179-184, 2009.
60. H.-M. Wu, Y.-J. Tien, and C.-h. Chen. Gap: A graphical environment for matrix visualization and cluster analysis. Computational Statistics & Data Analysis, 54(3)767-778, Mar. 2010.