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The Qlik Sense FROM FIELD Function

There are many functions and techniques within Qlik Sense that one might forget to recall when a challenge is presented. These functions can always use practical examples of implementation and use case scenarios. Let’s look at the FROM_FIELD function in Qlik Sense.


Load * FROM_FIELD is a useful script function in Qlik Sense that allows you to parse the contents of a single column into many columns or rows. Here are some practical examples:

  • Address: Client Addresses are captured within a single column on the source system.
  • Financial: Chart of Accounts – Allows the jagged hierarchy of the chart of accounts to be read from a single field and transposed to rows or columns.
  • Sales: Bill of Material – Lines on an Invoice within the Inventory Management Systems a Bill of Material can have a jagged hierarchy stored within a single column within the source system.  This will then need separated into columns for reporting purposes.
  • Website: Data captured within a single column and needs presented in multiple columns.


This script example provides the Address parsed out into columns:

Load * Inline [
Customer_ID, CustomerData
1101, 1101|Catering Service|25648 Fisherman Drive|Bellevue|NE|68005|United States
1102, 1102|Wedding Venue|PO Box 354 RW|Portsmouth|NH|03801|United States

Load *
FROM_FIELD (Address, CustomerData)
(txt, utf8, no labels, delimiter is '|', msq);

Sample Output:

Output of Qlik Sense From Field Parse Columns


This example script provides the Web Data parsed out into rows.

Load * Inline [
Website_ID, URLs

Load *
FROM_FIELD (Websites, URLs)
(txt, utf8, no labels, delimiter is '|', filters(Transpose()));

Sample Output:

Output Qlik Sense From Field Parse Rows

Alternatively, this can then be used as a filter within the application, not just for output in a chart or graph.


Qlik Sense offers flexibility and creativity to overcome the challenges of data and how best to present it.  This example of the FROM_FIELD function will hopefully help spark a creative solution to your next challenge.

Keep Reading: Cumulative Sum Expression Writing In Qlik Sense

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