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The decimal separator defined replaces the decimal symbol for currency set by your regional settings.
Tip note
By default, Qlik Sense displays numbers and text differently in table charts. Numbers are right-aligned, and text is left-aligned. This makes it easy to find text-to-number conversion issues. Any tables on this page that show Qlik Sense results will use this formatting.
Syntax:
MoneyDecimalSep
Qlik Sense applications will interpret text fields that conform to this formatting as monetary values. The text field must contain the currency symbol that is defined in the MoneyFormat system variable. MoneyDecimalSep is particularly helpful when handling data sources received from multiple different regional settings.
The following example shows a possible use of the MoneyDecimalSep system variable:
Set MoneyDecimalSep='.';
This function is often used together with the following functions:
Related functions
Function
Interaction
MoneyFormat
In instances of text field interpretation, the MoneyFormat symbol will be used as part of the interpretation.
For Number Formatting, the MoneyFormat formatting will be used by Qlik Sense in Chart Objects.
MoneyThousandSep
In instances of text field interpretation, the MoneyThousandSep function must also be adhered to.
Regional settings
Unless otherwise specified, the examples in this topic use the following date format: MM/DD/YYYY. The date format is specified in the SET DateFormat statement in your data load script. The default date formatting may be different in your system, due to your regional settings and other factors. You can change the formats in the examples below to suit your requirements. Or you can change the formats in your load script to match these examples. For more information, see Modifying regional settings for apps and scripts.
Default regional settings in apps are based on the user profile. These regional format settings are not related to the language displayed in the Qlik Cloud user interface. Qlik Cloud will be displayed in the same language as the browser you are using.
Open the Data load editor and add the load script below to a new tab.
The load script contains:
A dataset that is loaded into a table named Transactions.
Provided data that has its monetary field in text format with a dot ‘.’ used as the decimal separator. Each record is also prefixed by a ‘$’ symbol, except for the last record, which is prefixed by a ‘£’ symbol.
Keep in mind that the MoneyFormat system variable defines dollar ‘$’ as the default currency.
Load script
SET MoneyThousandSep=',';
SET MoneyDecimalSep='.';
SET MoneyFormat='$###0.00;-$###0.00';
Transactions:
Load
date,
id,
amount
Inline
[
date,id,amount
01/01/2022,1,'$14.41'
01/02/2022,2,'$2,814.32'
01/03/2022,3,'$249.36'
01/04/2022,4,'$24.37'
01/05/2022,5,'$7.54'
01/06/2022,6,'$243.63'
01/07/2022,7,'$545.36'
01/08/2022,8,'$3.55'
01/09/2022,9,'$3.436'
01/10/2022,10,'£345.66'
];
Results
Load the data and open a sheet. Create a new table and add this field as a dimension:amount.
Review the results below, demonstrating the correct interpretation of all dollar ‘$’ values only.
Results table
amount
=isNum(amount)
=Sum(amount)
Totals
0
$3905.98
£345.66
0
$0.00
$3.436
-1
$3.44
$3.55
-1
$3.55
$7.54
-1
$7.54
$14.41
-1
$14.41
$24.37
-1
$24.37
243.63
-1
$243.63
$249.36
-1
$249.36
$545.36
-1
$545.36
$2,814.32
-1
$2814.32
The results table above shows how the amount field has been interpreted correctly for all dollar ($) prefixed values, whilst the pound (£) prefixed amount has not been converted to a monetary value.
Example 2 - MoneyDecimalSep comma (,) notation
Overview
Open the Data load editor and add the load script below to a new tab.
The load script contains:
A dataset which is loaded into a table named Transactions.
Provided data that has its monetary field in text format with a comma ‘,’ used as the decimal separator. Each record is also prefixed by a ‘$’ symbol, except for the last record, which erroneously uses the dot decimal separator '.'.
Keep in mind that the MoneyFormat system variable defines dollar ‘$’ as the default currency.
Load script
SET MoneyThousandSep='.';
SET MoneyDecimalSep=',';
SET MoneyFormat='$###0.00;-$###0.00';
Transactions:
Load
date,
id,
amount
Inline
[
date,id,amount
01/01/2022,1,'$14,41'
01/02/2022,2,'$2.814,32'
01/03/2022,3,'$249,36'
01/04/2022,4,'$24,37'
01/05/2022,5,'$7,54'
01/06/2022,6,'$243,63'
01/07/2022,7,'$545,36'
01/08/2022,8,'$3,55'
01/09/2022,9,'$3,436'
01/10/2022,10,'$345.66'
];
Results
Paragraph text for Results.
Load the data and open a sheet. Create a new table and add this field as a dimension:amount.
Add the following measures:
isNum(amount)
sum(amount)
Review the results below, demonstrating the correct interpretation of all values, except for the amount in which the decimal separator uses dot '.' notation. In that case, a comma should have been used instead.
Results table
amount
=isNum(amount)
=Sum(amount)
Totals
0
$3905.98
$345.66
0
$0.00
$3,436
-1
$3.44
$3,55
-1
$3.55
$7,54
-1
$7.54
$14,41
-1
$14.41
$24,37
-1
$24.37
$243,63
-1
$243.63
$249,36
-1
$249.36
$545,36
-1
$545.36
$2.814,32
-1
$2814.32
Field
A field contains values, loaded from a data source. At a basic level, a field corresponds to a column in a table. Fields are used to create dimensions and measures in visualizations.
The term dataset is sometimes synonymous with table. It can refer to the original source table, the table after undergoing transformations, or the fact and dimension tables in a data mart.
It can also refer to a logical table, where there are several instance tables and views:
Current data
History, which holds previous versions of the table
A measure is a calculation base on one ore more aggregations. For example, the sum of sales is a single aggregation, while the sum of sales divided by the count of customers is a measure based on two aggregations.
