Qlikview aggr

Last Friday we asked the following Qlikview aggr 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. Return data type: dual.

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. An expression consisting of an aggregation function. By default, the aggregation function will aggregate over the set of possible records defined by the selection. StructuredParameter consists of a dimension and optionally, sorting criteria in the format: Dimension Sort-type, Ordering. The dimension is a single field and cannot be an expression.

Aggr returns an array of values for the expression calculated over the stated dimension or dimensions.

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.

Qlikview aggr

Summary: Selections can be made in Calculated Dimensions, although the result may not always be what is expected or desired. The Aggr function can be used to control what field s get selected. The technique discussed in this post applies to both QlikView and Qlik Sense.

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Adding sorting criteria to the dimension in the structured parameter. See : Measures. This way, you impose a sort order on the virtual table that is produced by the Aggr function. A field contains values, loaded from a data source. These two dimensions must be used in the table or chart visualization. Since , the Masters Summit for Qlik is the premier advanced training for Qlik. If there is only one dimension, the aggr function will return an array with the same number of elements as there are rows in the source data. For example, to filter the year, why do I get the wrong answer when I specify it in aggr? The dimensions are specified in the second parameter and subsequent parameters. The dimensions are specified in the second parameter and subsequent parameters.

For more generic nesting, you will have to use the advanced aggregation function in combination with calculated dimensions. An obvious question given this data would be: "How many customers does each sales representative have?

See : Sheet view. An array of values: 16, 16, 15, 15, 12, 12, 22, 22, 25, 15, 15, and See : Choosing the right visualization. SetExpression By default, the aggregation function will aggregate over the set of possible records defined by the selection. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. StructuredParameter StructuredParameter consists of a dimension and optionally, sorting criteria in the format: Dimension Sort-type, Ordering The dimension is a single field and cannot be an expression. Best regards, Vincent Hayward. Going trough the possible answers we can see that while answer A will work for the first four partners, it will quickly run into troubles calculating the average if there are more then two orders. Labels 1. For example, the sum of sales. Chart expression example 1 Load script Load the following data as an inline load in the data load editor to create the chart expression example below. The dimension is a single field and cannot be an expression. For example, the slices in a pie chart or the bars of a bar chart represent individual values in a dimension.