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, qlikview aggr. The Aggr function qlikview aggr used for nested aggregations, in which its first parameter the inner aggregation is calculated once per dimensional value.

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

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. But I will see this situation in the answers of others: the outside dimension is not in the dimension of the virtual table, I cannot understand how to perform secondary aggregation like this? For example, to filter the year, why do I get the wrong answer when I specify it in aggr? Must be specified outside to get the correct answer? In the screenshot below, I selected the data of , is the correct result. If I don't specify outside, I will get wrong results. This means the dimensions within the aggr may be identically with those from the object probably the most common case but it mustn't mandatory. Also you may need different set analysis in each aggregation part - inside and outside aggregations - there is no general rule for it. Aggregate functions, but also other calculations within any Qlik Sense viz. The object calculation time of these objects are high, which impacts the user experience.

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

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. 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.

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Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. 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. A must-read for enthusiasts and professionals alike. Measure A measure is a calculation base on one ore more aggregations. Tip note Use the Aggr function in calculated dimensions if you want to create nested chart aggregation in multiple levels. Add the following expression to the table, as a measure:. 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. This is important when the sort order affects the result of the expression the Aggr function is enclosed in. Similar terms : Chart See : Working with visualizations. DISTINCT 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. 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. See : Measures. Where should the set analysis in the aggr function be placed?

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

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: So even without knowing the true contents of the table in this question, we can get an idea of the contents and what to do next. This is necessary for the dimension list of the Aggr function to correspond with the dimensions of the object used in the visualization. A must-read for enthusiasts and professionals alike. It's easier to maintain as well. The dimension is used to determine the array of values the Aggr expression is calculated for. This is the normal way aggregations are made — each distinct combination of dimension values will render one line in the chart. 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 more information about using inline loads, see Inline loads. This is because some dimensions can be sorted numerically or alphabetically, and so on. Return data type: dual. Learn more Basic aggregation functions Set analysis. Without sorting criteria the result of the expression max aggr sum Customers -above Sum Customers , MonthYear depends on how the dimension MonthYear is sorted. Measure A measure is a calculation base on one ore more aggregations. Add the following expression to the KPI, as a measure :.