As I am partial to elegance and subtly when it comes to graphs, tables, etc., the overly-complicated graphics command structures in many of the leading software packages can quickly frustrate even experienced users. Moreover, transforming graphical output into useful forms, such as PowerPoint slides, generates its own set of challenges.
Thus, I was delighted to find over at the Social Science Statistics Blog a link to a wonderfully helpful slideshow by Matthew Sigal (York), replete with practical tips on how to post-process graphs with Adobe Illustrator. Though the examples make specific reference to graphs produced in R, the advice is easily translated into other statistical software packages. Finally, while York's main point is to assist with the concrete task of enlisting Adobe into the service of better graphics, one implicit and broader point involves the importance of attending to the visual display of data.