Description
The Cumulative Difference Logic Block provides yet another way to look at two data series. It is predominantly used for comparing identical systems and calculating variations in their performance.
Functionality
Input: The Logic Block accepts two data series as inputs. The data series must be synchronized, i.e. their timestamps must be aligned. This can be done using an Aggregation Logic Block or a Normalizing Logic Block.
Output: The output for a particular timestamp is calculated as the sum of the differences between the two inputs from the beginning of the analyzed date range until the time stamp. The differences are computed by subtracting the first input’s value from the second input’s value for the same timestamp.
Block Configuration
Name: Sets the name of the block as it appears in the logic flow. It is best practice to use a concise, descriptive name.
