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I would not recommend pie charts. Use bar charts or dot plots instead. It is much easier to distinguish similar frequencies for different categories in them. Ordering the categories by frequencies in them is almost always a good idea, too. Here you can find a short article about why <a href="http://www.stevefenton.co.uk/Content/Pie-Charts-Are-Bad/" rel="nofollow" title="Pie Charts Are Bad">Pie Charts Are Bad</a>. 3D diagrams might look nice and are a neat way of impressing people with little knowledge about data visialization (which might be what you need ;-) ). But they are considered bad practice by most experts, because using extra dimensions, which are not absolutely needed, distracts the reader from the actual data. Personally I think that crosstables and <a href="http://en.wikipedia.org/wiki/Scatter_plot" rel="nofollow" title="scatter plots">scatter plots</a> are pretty self-explanatory ways of displaying relationships between two dimensions of data. It is often a good idea to report some basic statistics along with diagrams, but make sure you only do this when it's appropriate. See this <a href="http://en.wikipedia.org/wiki/Levels_of_measurement" rel="nofollow">Wikipedia article</a> if you want to learn, which univariate statistics (like a mean for example) are appropriate for which data. If you seriously want to learn about data visualization, I can highly recommend the <a href="http://www.edwardtufte.com/tufte/books_vdqi" rel="nofollow" title="books by Edward Tufte">books by Edward Tufte</a> about the topic. They are really a pleasure to read. While they stand on a solid scientific base, they are easy to understand, even with little or no background in the field. Good luck, Alex
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