NumericCount() aggregates the number of numeric values in each chart dimension.
Syntax:
NumericCount([{SetExpression}] [DISTINCT] [TOTAL [<fld {,fld}>]] expr)
Return data type: integer
Arguments:
- expr: The expression or field containing the data to be measured.
- SetExpression: By default, the aggregation function will aggregate over the set of possible records defined by the selection. An alternative set of records can be defined by a set analysis expression.
- DISTINCT: If the word DISTINCT occurs before the function arguments, duplicates resulting from the evaluation of the function arguments are disregarded.
- TOTAL: If the word TOTAL occurs before the function arguments, the calculation is made over all possible values given the current selections, and not just those that pertain to the current dimensional value, that is, it disregards the chart dimensions. The TOTAL qualifier may be followed by a list of one or more field names within angle brackets <fld>. These field names should be a subset of the chart dimension variables.
Examples:
The following examples assume that all customers are selected, except where stated.
| Example | Result |
|---|---|
| NumericCount([OrderNumber]) |
7 because three of the 10 fields in OrderNumber are empty. Information note"0" counts as a value and not an empty cell. However if a measure aggregates to 0 for a dimension that dimension will not be included in charts.
|
| NumericCount([Product]) | 0 because all product names are in text. Typically you could use this to check that no text fields have been given numeric content. |
| NumericCount (DISTINCT [OrderNumber])/Count(DISTINCT [OrderNumber]) | Counts all the number of distinct numeric order numbers and divides it by the number of order numbers numeric and non-numeric. This will be 1 if all field values are numeric. Typically you could use this to check that all field values are numeric. In the example, there are 7 distinct numeric values for OrderNumber of 8 distinct numeric and non-numerid, so the expression returns 0.875. |
Data used in example:
Temp:
LOAD * inline [
Customer|Product|OrderNumber|UnitSales|UnitPrice
Astrida|AA|1|4|16
Astrida|AA|7|10|15
Astrida|BB|4|9|9
Betacab|CC|6|5|10
Betacab|AA|5|2|20
Betacab|BB|1|25| 25
Canutility|AA|3|8|15
Canutility|CC|||19
Divadip|CC|2|4|16
Divadip|DD|3|1|25
] (delimiter is '|');
| Customer | Product | OrderNumber | UnitSales | Unit Price |
|---|---|---|---|---|
| Astrida | AA | 1 | 4 | 16 |
| Astrida | AA | 7 | 10 | 15 |
| Astrida | BB | 4 | 9 | 9 |
| Betacab | BB | 6 | 5 | 10 |
| Betacab | CC | 5 | 2 | 20 |
| Betacab | DD | 1 | 25 | 25 |
| Canutility | AA | 3 | 8 | 15 |
| Canutility | CC | - | - | 19 |
| Divadip | AA | 2 | 4 | 16 |
| Divadip | DD | 3 | - | 25 |
