2dcumul
Successively adds the current row to the previous row, and restarts the count each time dimension 1 changes
Requires 2 dimensions in order to accumulate (2d)
Successively adds current row to the previous row’s accumulation. (cumul)
Restarts the accumulation each time dimension 1 changes
e.g.
Dimension1 = Product { [Product1], [Product2]…}
Dimension2 = Quarter { [Q1], [Q2], [Q3]…}
Measure = [Sum of Sales]
Purpose
Use this function to:
- Calculate running totals year by year
Sample Result
Parameters
| Parameter | Description |
|---|---|
| Dimensions | Discrete field(s). All fields must come from the same table. |
| Name | Name to be displayed as Column Header in result grid |
| Measure | The field to be used in the post-function calculation.
|
| Function | COUNT / SUM / AVG / MIN / MAX / STDEV |
| Post | 2dcumul |
| Value | Optional. Filter to apply when evaluating FUNCTION. Only records in the Filter Recordset will be included in the Function and Post-Function calculations. Must come from same table as DIMENSION/MEASURE or be linked to the Dimension table. |
| Axis | 0 / 1. Y-Axis to use when plotting graph. Default = 0 |
| Plot | Y / N. Specifies whether measure’s output column should be plotted on graph. Default = Y |
| Resolve | Optional. Resolve level for the measure. If blank, Resolve = Dimension Table |
| Series Type | Default / Bar / Stacked Bar / Line / Spline / RangeLow / RangeHigh / CSLow / CSHigh / CSOpen / CSClose Determines the graph style for the measure. |
| Popup | Default / None / Extended |
| Prefix | $ / £ / E / % |
Usage Notes
Cumulative data is always dependant on row sort order.
2dcumul is also dependent on the order in which dimensions are specified.
Example
NOTE: Measure 1 is included purely for illustration. It is not necessary to include this measure for the calculation to work.
Example use: Calculating the running sales total, grouped by quarter and product
Dimension:[transactions].[yearqtr], [transactions].[2dcumul]
Measure 1
| Measure 2
|
