There is no data that can be displayed in a pie chart, that cannot be displayed BETTER in some other type of chart.

I know of no person or group that is taking nearly adequate advantage of the graphical potentialities of the computer.

In a single sentence the moral is: admit that complexity always increases, first from the model you fit to the data, thence to the model you use to think about and plan about the experiment and its analysis, and thence to the true situation.

This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization.

To be able to say that "if we change our point of view in the following way ... things are simpler" is always a gain.

All we know about the world teaches us that the effects of A and B are always different-in some decimal place-for any A and B. Thus asking "are the effects different?" is foolish.

Visualization is often used for evil - twisting insignificant data changes and making them look meaningful. Don't do that crap if you want to be my friend. Present results clearly and honestly. If something isn't working - those reviewing results need to know.