Qlikview aggr

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 qlikview aggr 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, 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.

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. The dimension is used to determine the array of values the Aggr expression is calculated for. 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.

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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.

The Aggr functions is one of the most advanced functions in the QIX engine, and it is not always easy to use. It does not get easier when you put set analysis expressions in it. In one of my previous posts Pitfalls of the Aggr function I recommended having the set analysis expression in both the inner and the outer aggregation function when using set analysis in the Aggr function. This is a good rule of thumb, because in most cases doing so will generate the result that you want. In more complex calculations you often need to use the condition in one place only — sometimes in the inner aggregation, sometimes in the outer. It depends on how the condition is formulated. Then it is important to understand the difference between the two positions. The evaluation of the Aggr function is a two-step process: In the first step, an intermediary virtual table is created using the inner aggregation and the dimension of the Aggr. In the second step, this virtual table is aggregated using the outer aggregation.

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. SetExpression By default, the aggregation function will aggregate over the set of possible records defined by the selection. All forum topics Previous Topic Next Topic. This is because some dimensions can be sorted numerically or alphabetically, and so on. Dimension In Analytics Services : A dimension is an entity used to categorize data in a chart. The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. The dimension is a single field and cannot be an expression. The Qlik Sense February release provides Qlik Sense business users, analytic creators, and data integrators a summary of the features and improvements available. 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. Effectively, we have built a temporary list of values without having to create an explicit table or column containing those values. Also you may need different set analysis in each aggregation part - inside and outside aggregations - there is no general rule for it. Become a data and analytics all-star with 15 hands-on workshops and 17 on-site certification options! This is because some dimensions can be sorted numerically or alphabetically, and so on. For example, the maximum value of sales, per customer, per region.

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.

Post Reply. I would try to solve aggregates within the data model itself. 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. This is because some dimensions can be sorted numerically or alphabetically, and so on. SetExpression By default, the aggregation function will aggregate over the set of possible records defined by the selection. In the StructuredParameter argument in the Aggr function, you can specify sorting criteria on the dimension in your expression. However, when enclosed in another aggregation function, there can be unexpected results unless sorting criteria are used. 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. Return data type: dual. 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. For example, the maximum value of sales, per customer, per region.