[OT] Weighted distribution of Numbers

Dar Scott Consulting dsc at swcp.com
Sun Aug 4 16:28:21 EDT 2019


Perhaps what you want is histogram smoothing or histogram curve fitting.

Is this for a dot or icon display? Or for a plotted curve?

> On Aug 4, 2019, at 1:38 PM, Ralph DiMola via use-livecode <use-livecode at lists.runrev.com> wrote:
> 
> Dar,
> 
> Thanks for looking at this...
> 
> These numbers are quality ratings. The raw numbers range from 0 to a max of
> 800 or so. The customer wants to see a rating from 0-100 so I normalize them
> into a range of 0 to 100 where the raw 0 is 0 and the raw 800 is 100. This
> works perfectly. When looking at the resulting 0-100 ratings is where they
> see the distribution anomalies. They would like to see the top numbers(say
> from 94 to 100) to go to 100 and then the original 93 to be 99 and the
> original 90 to be 97 or so. And also smooth out any gaps in the distribution
> so there for example if there are almost no numbers in the 40s to bump up
> the 30s a little and bump down the 50s a little. I'm sure there's an actual
> name for doing this in the statistician's world but I don't know what it is.
> 
> Ralph DiMola
> IT Director
> Evergreen Information Services
> rdimola at evergreeninfo.net
> Phone: 518-636-3998 Ex:11
> Cell: 518-796-9332
> 
> 
> -----Original Message-----
> From: use-livecode [mailto:use-livecode-bounces at lists.runrev.com] On Behalf
> Of Dar Scott Consulting via use-livecode
> Sent: Sunday, August 04, 2019 3:03 PM
> To: How to use LiveCode
> Cc: Dar Scott Consulting
> Subject: Re: [OT] Weighted distribution of Numbers
> 
> 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 at 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
>> rdimola at evergreeninfo.net
>> 
>> 
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