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Three broad categories

Spatial (dependencies)

Distribution of data Clump location and size. Try using clump as unit of visualisation. Clump map How people use depth within a spreadsheet. Cell width and height used for layout. Merged cells, cell width and height.

In-between spatial and logical

Location of formula (like sum) on spreadsheet. Suspect sum will be bottom left. How tall are the dependency trees within each sheet, how bushy, wide How many cells refer to 1 (many) 2 (many) 3 (lots) Dozens or hundreds via ranges (hundreds).
Distance of Vectors.

Complexity of formula vs position. Average Formula size
Number of cells referenced (Number of cells in range)
Number of Functions used.

The family tree for one cell. I had an idea to focus on the family tree of just one cell. Is there a strong overlap (in breeding area) between the two trees?

Logical (articulation)

Use of simple formulas verses complex formulas.
Cell types (int,date,formula,string)
Number of cells refered to from each formula.
Larger formulas will be more complicated, harder to understand and debug. Often reference more cells. Larger number of brackets.
Fan in/ Fan out
Comparing different formulas could be done via number of steps needed to edit one into the other. (Ray Moony).
Location of formula.
Simple formulas - single functions.
Cell types
Measures of complexity of formulas.
Compass view (ridial spiderweb graph) General direction of dependency flow. Which way do most outbound referneces go, in bould.
Histograms of number of cells in a worksheet. Then breakit down into what level these cells are in.

Cells referenced vs Formula length

Temporial

Could be useful for documenting the evolution of spreadsheets. Excel version number, Saved date.

Other

Ownership trees - if one cell refers to another (and is the only cell to refer to that cell) it owns this cell.
Power laws (Smallworld from psychology) (Zipf law) - Many refer to the few and few refer to the many. Small hops - Giant hop - Small hops.