## The Grammar of GraphicsPreface to First Edition 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. |

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User Review - encephalical - www.librarything.comThe first part is on developing a grammar of graphics for statistical charting and is possibly relevant to general info vis. This material is why I purchased the book in the first place, because I was ... Read full review

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algebra algorithm applications axes axis bar chart blend box plot categorical categorical variable Chapter cluster color column components connected spaces contours COORD coordinates correlation dataset defined density dimension display distance distribution domain dot plot edges ELEMENT Euclidean Euclidean space facet Figure frame frequentist geometric glyph grammar graphics system graphing function GUIDE histogram horizontal IHPDOHV UHVSRQGLQJ interval kernel label layout linear matrix measure methods metric metric space minimum spanning tree multidimensional scaling nested nodes objects operations panel parallel coordinates parameter path pattern perception permutation plane points polar polar coordinates polygon problem produce projection random rectangular regression relation represent rotation sample scale scatterplot Section sequence shape shows an example similar smooth smoother space specification statistical graphics structure subset SYSTAT Table tion TRANS transformation tree treemap Tukey tuples variable varset vertical visual ViZml zero