Qlikview aggr

Last Friday we asked the following Qlik Data Architect certification practice question about aggregations in Qlik Sense with the Aggr function:.

Aggr returns an array of values for the expression calculated over the stated dimension or dimensions. For example, the maximum value of sales, per customer, per region. The Aggr function is used for nested aggregations, in which its first parameter the inner aggregation is calculated once per dimensional value. The dimensions are specified in the second parameter and subsequent parameters. In addition, the Aggr function should be enclosed in an outer aggregation function, using the array of results from the Aggr function as input to the aggregation in which it is nested.

Qlikview aggr

Aggr returns an array of values for the expression calculated over the stated dimension or dimensions. For example, the maximum value of sales, per customer, per region. The Aggr function is used for nested aggregations, in which its first parameter the inner aggregation is calculated once per dimensional value. The dimensions are specified in the second parameter and subsequent parameters. In addition, the Aggr function should be enclosed in an outer aggregation function, using the array of results from the Aggr function as input to the aggregation in which it is nested. Return data type: dual. If sorting criteria are included, the array of values created by the Aggr function, calculated for the dimension, is sorted. This is important when the sort order affects the result of the expression the Aggr function is enclosed in. For details of how to use sorting criteria, see Adding sorting criteria to the dimension in the structured parameter. Basic aggregation functions, such as Sum , Min , and Avg , return a single numerical value whereas the Aggr function can be compared to creating a temporary staged result set a virtual table over which another aggregation can be made. Each dimension in an Aggr function must be a single field, and cannot be an expression calculated dimension. Adding sorting criteria to the dimension in the structured parameter. In its basic form, the argument StructuredParameter in the Aggr function syntax is a single dimension. The expression: Aggr Sum Sales, Month finds the total value of sales for each month.

The argument StructuredParameter has the following syntax:. So qlikview aggr each distinct value of the dimension you would like to aggregate on, it will give the result.

I have been looking at the documentation related to the aggr function recently and tried to use it on qs. But I find it difficult to understand it and I have a few questions about it. Does the dimension of this virtual table aggr need to be consistent with the dimension of the chart? My understanding is that the granularity of the dimensions in aggr needs to be smaller than that of the chart. Because the outside aggregation function needs to aggregate the virtual table twice. I don't know if my understanding is wrong.

Aggr returns an array of values for the expression calculated over the stated dimension or dimensions. For example, the maximum value of sales, per customer, per region. The Aggr function is used for nested aggregations, in which its first parameter the inner aggregation is calculated once per dimensional value. The dimensions are specified in the second parameter and subsequent parameters. In addition, the Aggr function should be enclosed in an outer aggregation function, using the array of results from the Aggr function as input to the aggregation in which it is nested. Return data type: dual. An expression consisting of an aggregation function. By default, the aggregation function will aggregate over the set of possible records defined by the selection.

Qlikview aggr

Aggr returns an array of values for the expression calculated over the stated dimension or dimensions. For example, the maximum value of sales, per customer, per region. The Aggr function is used for nested aggregations, in which its first parameter the inner aggregation is calculated once per dimensional value. The dimensions are specified in the second parameter and subsequent parameters. In addition, the Aggr function should be enclosed in an outer aggregation function, using the array of results from the Aggr function as input to the aggregation in which it is nested. Return data type: dual. If sorting criteria are included, the array of values created by the Aggr function, calculated for the dimension, is sorted.

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This is because some dimensions can be sorted numerically or alphabetically, and so on. The nodistinct qualifier means that the array contains one element for each row in the source data: each is the maximum UnitPrice for each Customer and Product. All forum topics Previous Topic Next Topic. Charts are objects where calculations, aggregations, and groupings can be made. The dimension is a single field and cannot be an expression. Sheet Sheets are components of Qlik Sense apps. To properly use the Aggr function we need to have a look at the data model from which we can determine that the Fact table will look like this:. If the expression argument is preceded by the distinct qualifier or if no qualifier is used at all, each distinct combination of dimension values will generate only one return value. See : Choosing the right visualization. In addition, the Aggr function should be enclosed in an outer aggregation function, using the array of results from the Aggr function as input to the aggregation in which it is nested. A dimension is a dataset in a data mart that forms part of the star schema. Basic aggregation functions, such as Sum , Min , and Avg , return a single numerical value, whereas the Aggr function can be compared to creating a temporary staged result set a virtual table , over which another aggregation can be made.

For more generic nesting, you will have to use the advanced aggregation function in combination with calculated dimensions.

Aggregation An aggregation is a calculation using multiple records in the source tables. Tip note Use the Aggr function in calculated dimensions if you want to create nested chart aggregation in multiple levels. The dimensions are specified in the second parameter and subsequent parameters. Year Month Sum Sales Structured Aggr Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Leave your feedback here. For details of how to use sorting criteria, see Adding sorting criteria to the dimension in the structured parameter. Hope someone can answer my question. Return data type: dual. Two specific dimensions are required as structured parameters: Year and Month , sorted 1 Year numeric and 2 Month numeric. The nodistinct qualifier means that the array contains one element for each row in the source data: each is the maximum UnitPrice for each Customer and Product. Graphical visualizations, such as bar charts and pie charts are common examples, but also non-graphical objects such as pivot tables are charts.