Just to clarify... Is this right?

The max of the raw numbers maps to 100.
The min of the raw numbers maps to 0. (Or is it 0 maps to 0?)
The middle number maps to something like 70. (Or is it half of the max maps to 
70?)
The mapping is smooth.

Where 70 might be something else.

> On Aug 4, 2019, at 12:49 PM, Ralph DiMola via use-livecode 
> <use-livecode@lists.runrev.com> wrote:
> 
> I have a set of raw numbers(6,000 of them from 0 to 800 or so). It was easy
> to normalize these numbers from 0 to 100. But as I look at the results I see
> that there is one at to top(100) and a few in the 90s and many more in the
> 70s and 80s. I need to make these numbers more evenly distributed and
> weighted towards the top(so the top few are 100) based on the current
> distribution of the raw numbers. I'm not a math whiz and not afraid to admit
> that going beyond linier equations is way over my head. From some searches I
> see the some sort of nonlinear regression is in order(I think)? Or a apply a
> log (like an audio log taper of a potentiometer)? I don't know... Can anyone
> point me in the in the right direction?
> 
> Thanks!
> 
> Ralph DiMola
> IT Director
> Evergreen Information Services
> rdim...@evergreeninfo.net
> 
> 
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