The Grammar of GraphicsSpringer Science & Business Media, 2013 M03 9 - 408 páginas Before writing the graphics for SYSTAT in the 1980's, I began by teaching a seminar in statistical graphics and collecting as many different quantitative graphics as I could find. I was determined to produce a package that could draw every statistical graphic I had ever seen. The structure of the program was a collection of procedures named after the basic graph types they p- duced. The graphics code was roughly one and a half megabytes in size. In the early 1990's, I redesigned the SYSTAT graphics package using - ject-based technology. I intended to produce a more comprehensive and - namic package. I accomplished this by embedding graphical elements in a tree structure. Rendering graphics was done by walking the tree and editing worked by adding and deleting nodes. The code size fell to under a megabyte. In the late 1990's, I collaborated with Dan Rope at the Bureau of Labor Statistics and Dan Carr at George Mason University to produce a graphics p- duction library called GPL, this time in Java. Our goal was to develop graphics components. This book was nourished by that project. So far, the GPL code size is under half a megabyte. |
Contenido
1 | |
5 | |
How to Make a Pie 21 | 20 |
Data | 43 |
Variables | 57 |
Geometry | 81 |
Aesthetics | 99 |
Statistics 165 | 164 |
Coordinates | 231 |
Facets | 301 |
Guides | 329 |
Graphboard | 339 |
Reader | 353 |
Semantics | 365 |
References | 377 |
Author Index | 397 |
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Términos y frases comunes
aesthetic attributes algebra algorithms axes axis bar chart Bertin Birth Rate blend box plot categorical categorical variable Chapter Cleveland color column components contour COORD coordinate system coordinate transformations count create data mining database dataset defined density dimensions display distribution domain dot plot elements facet Figure FRAME geometric glyph graphics system graphing function GUIDE histobar histogram implement interval label legends linear matrix mean measure metadata methods Minard minimum spanning tree MOLAP n-tuple nesting objects operators panel parallel coordinates parameter perception polar coordinates position produce projection range real numbers rectangular regression relations represent ROLAP rotation scale scatterplot scientific visualization Sepal shape shows an example smoother smoothing space specification statistical graphics string structure subset symbols SYSTAT Table tick marks tile tion TRANS tree tuples types values variable set Varset vertical visualization Voronoi tessellation zero