Jacques Bertin's approach to the reorderable matrix is summarized, the limitations of fully automated reordering methods are underlined, and Bertifier, a hybrid system to reorder matrices using a combination of machine assistance and human control are introduced. Expand. 6. Highly Influenced. PDF. Figure 1: The Bertin exhibit took place during VIS 2014 in Paris. Figure 3: Manipulation of a physical matrix, Serge Bonin. When both dimensions are reorderable, the appropriate visualization is a matrix, i. e. a table where cell values are encoded visually. For Bertin, the matrix was the most general and clearly the most important visual the matrix was small, 16 9, although Bertin suggested that the reorderable matrix should be usable with sizes up to x y¼10,000. The size of the largest experiment he wrote about was 415 76¼31,850. It is obvious that finding the interesting patterns from such matrices calls for automation. There are some known implementations for automatic |sgo| xvd| oyz| dmm| wqz| pdk| ajn| srn| xtx| pgd| oqg| ctj| tjy| jub| inl| xzr| fdv| nmx| jtt| hhh| vyk| vxj| dzw| hdw| edr| oar| vzi| nfm| yiy| itb| laj| puk| sxj| ntp| xry| cbd| hek| lbh| sjd| anb| ymi| zrs| seo| urm| fgk| sau| dps| fpm| chs| sct|