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It interpolates the colour between given min and max values and colors (if not specified, these are assumed to be white for the min and black for the max). The font colour is turned black or white depending on the luminosity of the cell background. The background color is generated by the {{Value color}} template.
It interpolates the colour between given min and max values and colors (if not specified, these are assumed to be white for the min and black for the max). The font colour is turned black or white depending on the luminosity of the cell background. The background color is generated by the {{Value color}} template.
Please consider reusing one of the other templates and please choose the color sensibly. If you find a table cell template that does not take a parameter and you want to be able to change the text in the cell, do not duplicate the template! Instead, edit the template and change the text to a default parameter substitution.
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This is an injective relation: each combination of the values of the headers row (row 0, for lack of a better term) and the headers column (column 0 for lack of a better term) is related to a unique cell in the table: Column 1 and row 1 will only correspond to cell (1,1); Column 1 and row 2 will only correspond to cell (2,1) etc.
The main concepts are those of a grid of cells, called a sheet, with either raw data, called values, or formulas in the cells. Formulas say how to mechanically compute new values from existing values. Values are general numbers, but can also be pure text, dates, months, etc. Extensions of these concepts include logical spreadsheets.
Color Scales, which automatically color the background of a group of cells with different colors according to the values. Icon sets, which precede the text in a cell with an icon that represent some aspect of the value of the cell with respect to other values in a group of cells, can also be applied. Icons can be conditionally applied to show ...
For a given set of points in space, a Voronoi diagram is a decomposition of space into cells, one for each given point, so that anywhere in space, the closest given point is inside the cell. This is equivalent to nearest neighbor interpolation, by assigning the function value at the given point to all the points inside the cell. [3]