30 March 2023 Boolean Operators in Qlik Sense Share this message Every Friday at Bitmetric we’re posting a new Qlik certification practice question to our LinkedIn company page. Last Friday we asked the following Qlik Data Architect certification practice question about booleans operators (AND, OR, NOT, XOR) in Qlik Sense. The answers were more or less evenly distributed between B and C. The correct answer is B Statement 1 evaluates to True, while statement 2 evaluates to False. To see how we arrived at this answer, let’s first learn more about how Boolean operators are evaluated in Qlik (and in general). How does Qlik evaluate Boolean operators? Behind the Boolean operators is Boolean mathematics. The order of the Boolean algebra is the highest to lowest priority. This is: NOT AND OR Expressions inside brackets are always evaluated first. In Boolean algebra False() evaluates to 0, and True() evaluates to 1. We can also interpret AND as multiplication (*) and OR as addition (+). Using this information, we can evaluate the first expression False() OR NOT False() AND True() as: 0 OR NOT 0 AND 1 NOT is evaluated first, so we can rewrite the expression as: 0 OR 1 AND 1 Substituting AND for multiplication and OR for addition, we can finally rewrite the expression as: 0 + 1 * 1 Applying the PEMDAS order of operations, we can calculate the result as 1, true. (Note that in Qlik True() evaluates to -1 instead of 1, but the outcome is the same) The XOR Boolean operator The XOR, or exclusive or, operator is a shorthand for: (A OR B) AND NOT (A AND B) Or, to phrase it differently, XOR evaluates to true is either option is true, but not when both options are true. When we look at the second statement: True() XOR True() We can see that this doesn’t match the requirements of the XOR operator, so it evaluates to false. Using parentheses for readability The Boolean operators can be used at different places in Qlik Sense. They are used in if statements, for example to make flags in tables. They are used in WHERE statements to filter specific data, and many other options. In order to improve the readability of the Boolean operators, it’s a good idea to use parentheses. The expression below has the same result as the first statement from the question, but it is a lot easier to read: False()OR( NOT False() AND True()) Override the order of operations with parentheses We can also override the order of operations with parentheses. For example, if we want the OR operator to be evaluated before the AND operator, we can rewrite the expression as: (False() OR NOT False())ANDTrue() Should you always use parentheses? That depends, but typically it’s a good idea to use parentheses to aid readibility and understanding. You can learn more about this in our Qlik Coding Conventions. That’s it for this week, see you next Friday! More from the Bitmetric team Bitmetric Qlik Support Keep your Qlik environment running smoothly with proactive support that prevents issues before they appear. Available on flexible monthly plans. Learn more. Qlik vs Power BI Series See how Qlik and Power BI perform when theory meets reality. Three apps rebuilt, every step examined. Learn more. Friday Qlik Test Prep Solution How can we help? Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you. Call us Mail us 1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer 25 August 2026 Your semantic layer is becoming the API for AI Semantic layers are not new, but AI is giving them a new role. Where they once primarily powered dashboards, semantic models are increasingly becoming the layer that provides AI with reliable business context. AI Data Governance Microsoft Fabric Qlik Semantic Layer TimeXtender 17 August 2026 Putting AI to work on your data works. But not like this. Putting AI to work on your data sounds simple. But what can we learn from organizations already doing it? Based on Anthropic’s experience and independent research: what works, what doesn’t, and why maintenance is where the real work lies. AI Data Governance Data Management Power BI Qlik
1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer
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