Scatter Plot

Scatter Plot

You can compare two distributions in the Scatter Plot and see how they correlate. You can also see the Joint Confidence Level (JCL) for a combination of two values. For example, what's the probability of finishing before date x and below cost y? The plot visualizes each iteration as a dot, whose position is determined by the two values you choose.

Example Scatter Plot diagram.

The picture above shows the default setup of the Scatter Plot. In it, we're comparing the project finish date (on the x-axis) and the project cost (on the y-axis). The plot tells us there is only a 7% chance of finishing before the deterministic finish date and below the deterministic cost. The green markers in the lower left corner visualize this. The red markers in the top right corner show a 79% chance of being late and over budget.

X and Y Axis

The two axes in the plot are controlled via the settings on the two tabs in the upper left part of the screen. Each axis in the plot has a Result type, Target Value, and Project Part.

The Result Type can be Finish Date, Cost, or Duration.

The Target Value can be set to the deterministic value or any custom value.

The project parts for the x and y axes are locked by default, meaning that you compare values for the same activity, summary, or project. If you'd like to compare, let's say, the duration of activity A with the cost of activity B, you can do this by going to the "Y-Axis" tab and unchecking "Same as X Axis." Comparing different project parts can be useful to figure out if the correlation in your model is working as expected.

Target Values

If you want to see the probability for some values other than the deterministic, you can uncheck "Use Deterministic as Target." In the example below, the target value was set to 1 January 2016 for the x-axis and 4 300 000 for the y-axis. The crosshairs are always centered on the target value. Note that you can still see the deterministic value as a black star.

Scatter Plot diagram using target values.

JCL Bands

Turning on the Joint Confidence Level (JCL) bands gives you a quick overview of how likely you are to end up in different sections of the plot.

Change the coloring scheme in the Chart Settings section in the bottom left corner to turn them on. When JCL bands are selected, the iteration dots are color codes that depend on their JCL. The band limits are based on the focus percentiles you can set in the Options section.

In the example below, we see a 20% chance of finishing in the green zone, a 50% chance of finishing in the yellow or green zone, an 80% chance of finishing in the orange, yellow or green zone, etc.

Scatter Plot with JCL bands visible.{height="" width=""}​