Monte Carlo simulation is a very powerful tool for modeling uncertainty. But perhaps the most critical step in any simulation analysis is the meaningful presentation of results to others. Decision makers won’t act on the results of a simulation if they don’t understand what they are seeing. Graphs are the most powerful way to communicate these important insights.
There are lots of ways to make graphs from the data generated by Monte Carlo simulations. But what is the easiest? Microsoft Excel statistics offers its own graphing engine, but you have to tell it which data to use for what.
@RISK comes with a powerful graphing engine built-in, and you can create meaningful graphs just by dragging and clicking things with your mouse. In this three-part series, we’ll cover the most common ways to get valuable graphical results in @RISK without ever touching your keyboard.
First off, @RISK automatically generates thumbnail graphs of input variables and output results during a simulation. These are accessible in the @RISK Model window (for inputs) and @RISK Results window (for outputs). You can expand any small thumbnail graph from these windows to full size just by dragging it off the window and onto the spreadsheet.
Here is a quick video showing how easy it is to do this: