Many scientists rely on bar graphs and line graphs that effectively reduce your data to a single mean per group. Even with the addition of error bars, the whole process tends to hide important information. These authors suggest that scatterplots that show every data point would be a better way to present your research data. Continue reading
This slide show includes some examples of really bad (and a few really good) graphics with some explanations of general principles for data display. Continue reading
This blog post explains that you can’t just put a graph up on a screen and immediately expect people to understand it. You need to provide critical context to help your audience. Continue reading
…when people assume that the Excel output is enough. I think of all the research papers in economics where the authors must have spent dozens of hours trying all sorts of different model specifications, dozens of hours writing and rewriting the prose of the article, . . . and 15 minutes making the graphs.” Andrew Gelman, quoted at http://andrewgelman.com/2009/04/22/more_on_data_vi/.
R has a lot of nice plotting features built in, but this add-on package adds some more, especially the ability to designate a break in one of your axes. Continue reading
Melissa Clarkson created a very nice two page PDF file that shows very clearly the sometimes subtle difference in how various line style arguments work in R. Highly recommended for any R programmer. Continue reading