Higher resolution of the thickness as 4d idea v.03

So in my facebook I wrote that 4'th dimension is thickness, an explanation could be like this:

Say a demand graph of sushi in central station would be: at $1 quantity demanded 10.000 pieces, at $30 dollars quantity demanded 100 pieces. 

But that is in the morning, in the afternoon it would be:  $1 ask 1.000 pieces, at $30 dollars 1 piece.

The same thing with supply, with respective order: at $1 bid 1 piece to $30 bid 1.000 in the morning, in the afternoon $1 bid 10 pieces to $30 bid 100 in the afternoon.

So there were 2 - three dimensional models connected to one another. 2 xyz graphs at the beginning, 1 for the outside, and 1 for the inside... the other axis, w, lets say, would be time of day. 

Could standard deviation be presented this way? It should be, but the w axis would be what? range? a bit hard to conceptualize. To understand this easier would be to conceptualize the opposite of standard deviation, which are ideas where multiple figures are definitely true given a variable. In the sushi case the variable was the time of day. 

Therefore the 3d graph of the supply and demand would have two images on the inside and on the outside. 
Based on 2, xyz lines, the inside and the outside. 
Imagine the xyz pipes instead of lines. Pipes would have the outside layer and the inside layer

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An advantage of this is from the image you could decide whether to focus on what kind of innovation, marketing innovation or cost innovation. 

During busy hours for example it would be more profitable to enhance the cost efficiency of the sushi. While during working hours it would be beneficial to not be too stingy.