Count with data hierarchy occurrence

[AmazingRandom]

I have been asked to do a day and occurrence count, the only tricky thing about it is that it needs to look at a certain hierarchy it is the follwoing:

Manual black > manual red > model black > model red

So the highest hieararchy is manual black. Each one of them is a measure calculated in percentage of time. I'll create a table to hopefully give enough example data:

Location	Manual Black	Model Black	Manual Red	Model Red	Green
ABC	4%	40%			56%
DEF	1%	4%	10%	5%	80%
GHI			51%	10%	39%
JKL		1%		60%	39%

So, per the requirements, there should be the following in the counts:

2 days with manual black

1 day with manual red

1 day with model black.

To my understanding, an IF or SWITCH function may work, though how can I apply that to a hierarchy? 

[Anonymous]

Hi @AmazingRandom ,

So, per the requirements, there should be the following in the counts:
2 days with manual black

1 day with manual red

1 day with model black.

It would be helpful if you could elaborate on the computational logic behind these results, thanks.
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[AmazingRandom]

I'm not sure I understand your question. The results are just an example. I asume you meant how they are calculated. 

They are calculated by a Divide formula, where it gets values from three columns. An overflow column, which says if it is overflown (automatic black) or green. 

A manual status column, whether it is defined as red manual, black manual or none (green).

Then a system model where it will show if it is a predicted red or green.

Then the measures divide the instances on each based the number of rows by the total rows, some conditions are applied to avoid overlapping and match the hierarchy. 

I hope I made sense to you explaining it