Performing aggregate computing performing-aggregate-computing
In this example, we want to count the number of recipients living in London, according to gender.
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Which table needs to be selected?
The recipient table (nms:recipient)
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Which fields should be selected in the output column?
Primary key (with count) and Gender
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What conditions is the information filtered based on?
Based on the recipients who live in London
To create this example, apply the following steps:
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In Data to extract, define a count for the primary key (as shown in the previous example). Add the Gender field in the output column. Check the Group option in the Gender column. This way recipients will be grouped by gender.
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In the Sorting window, click Next: no sorting is necessary here.
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Configure data filtering. Here, you want to restrict the selection to contacts who live in London.
note note NOTE Values are case-sensitive. If the ‘London’ value is entered in the condition without a capital letter and the list of recipients contains the word “London” with a capital letter, the query will fail. -
In the Data formatting window, click Next: no formatting is required for this example.
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In the preview window, click Launch data preview.
There are three separate values for each sort by gender: 2 for female, 1 for male and 0 when the gender is unknown. In this example, the list contains 10 women, 16 men and 2 people whose gender is not known.
