Possible Data Points

Windographer counts the number of possible data points when determining the data recovery rate (DRR).

For a particular data column, the possible number of data points is the number of data points that would meet the filter criteria if that data column contained no gaps and had no flags applied to it.

Example

To compute the number of possible data points for ColumnX in May 2021, for example, Windographer would consider how many time steps the dataset covers in that month. Assuming 10-minute time steps, May 2021 covers 4,464 time steps, so if the dataset covered all of that month, the number of possible data points for that month would be 4,464. If the dataset started halfway through the month, that would reduce the number of possible data points to 2,232 for that month.

Any data-related filter criteria you specify would reduce that number further. If you were only interested in time steps in which ColumnY was within the range 10 - 20, for example, then the number of possible data points would not include any time step in which ColumnY reported a value outside that range, or ColumnY contained no value at all (a gap), or its value was flagged to exclude.

But note that the flag status and the gap/non-gap status of ColumnX does not affect the number of possible data points. They affect the number of valid data points, but not the number of possible data points.