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

It's better to solve the right problem approximately than to solve the wrong problem exactly.

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.

Numerical quantities focus on expected values, graphical summaries on unexpected values.

When communicating results to non-technical types there is nothing better than a clear visualization to make your point.

An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.

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.