Perlin noise is a great way to get random data, and sometimes placeholder data can be useful as a design tool. But I didn’t agree with your reasons for why we shouldn’t use the real data!
- Data IS OFTEN hard to understand, but isn’t it the job of the designer to create a visualization that explains it simply?
- By using placeholder data, aren’t you taking a shortcut, and not really testing whether or not the visualization works the way you expect it will?
- If the real data won’t work for the client presentation, why would it work for end users?
- Using real data can be a great litmus test. “Does this actually work the way I expect it will?” “What happens when the data points include outliers?”
These are just some initial thoughts. I definitely use perlin noise on occasion for charts, but I just think that real data makes a lot more sense to use whenever possible.