http://www.stat.columbia.edu/~cook/movabletype/archives/2006/03/r_graph_gallery_1.html I have come across an excellent page on R Graphics, the R Graph Gallery. There are a few innovative visualizations, and the page demonstrates how a vibrant internet community can create a comprehensive dictionary of visualizations. Each graph comes along with its source. en-us <p>I have come across an excellent page on R Graphics, the <a href="http://addictedtor.free.fr/graphiques/index.php">R Graph Gallery</a>. There are a few innovative visualizations, and the page demonstrates how a vibrant internet community can create a comprehensive dictionary of visualizations. Each graph comes along with the source.</p> <p>Just as an example, here are two graphs with best scores (the images are clickable):</p> <p><a href="http://addictedtor.free.fr/graphiques/graphcode.php?graph=109"><img alt="graph_109.png" src="http://www.stat.columbia.edu/~cook/movabletype/archives/graph_109.png" width="400" height="320" /></a></p> <p><a href="http://addictedtor.free.fr/graphiques/graphcode.php?graph=79"><img alt="graph_79.png" src="http://www.stat.columbia.edu/~cook/movabletype/archives/graph_79.png" width="400" height="320" /></a> <br /> <br>(similar to our <a href="http://kt.ijs.si/aleks/politics/">visualizations of the US Senate</a>)</p> http://www.stat.columbia.edu/~cook/movabletype/archives/2006/03/r_graph_gallery_1.html <p>This is really an impressive library, especially with the source of all the graphics attached.<p><br /> It's a good start for your own custom graphics, although one should be cautious to see the examples as good programming examples - at least some of the few I ran across could have been solved better.<p></p> <p>We are still waiting for such a library showing how one should use graphics for data analysis properly!<br /> </p></p></p> http://www.stat.columbia.edu/~cook/movabletype/archives/000483.html#011460