Number of Variables.
Match properties in your data to visual properties in your visualization (ie: position, size, color, value, etc).
Range of Variables.
Choose an appropriate visual variable that scales properly with the range of your data field (ie: black to white, color over spectrum, width/height, etc).
Comparison Between Variables.
Consider accommodating for unexpected patterns to appear between different variables, and choosing the right visual representation to present comparisons.