15 February 2024 Dealing with empty and null values in Qlik Sense Share this message At Bitmetric we continuously hone our skills, and we like to help you do the same. That’s why we regularly post a new Qlik certification practice question to our LinkedIn company page. Last Friday we asked the following Qlik Data Architect certification practice question about handling null values when loading a CSV file into Qlik Sense. Do you know the answer? The answers were varied, but overall most people picked (or guessed) the correct answer: The correct answer is C: EmptyIsNull() The EmptyIsNull() function yields a null value when given an empty string as input. This functionality proves particularly beneficial when handling CSV files, like we do in this question, where empty fields are read as empty strings instead of null values. Let’s review the other answers, and why they’re not correct in this context: Answer A – Do nothing. This doesn’t work, as empty values in CSV files are not automatically converted to null values when loading data into Qlik. Answer B – NullValue. This does the exact opposite of what we’re trying to achieve. The NullValue statement converts null values into a value. In this case an empty string. This can be very useful when profiling data, as it makes null values selectable, but doesn’t help us here. Answer D – NullInterpret. This is the “gotcha” option. The NullInterpret statement is designed to treat the given value as null. While this solution might also be effective, it applies universally. In the context of this question, it implies that empty values in the Amount column would be transformed into nulls. This might be desirable in a practical situation, but it’s not the optimal choice for this particular question. Another great solution was provided by Daniel Pilla, who suggests using the Num() function. This will convert any non-numeric values into null. In a practical sense, this is probably the best way to handle this. Of course, there’s much more to tell about null values in Qlik, but we’ll save that for another post. We’ll conclude this post with an excellent visual illustration of the difference between empty and null: The difference between empty and null Original image by R. Sato (@raysato) See you next time! 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 Functions Qlik Script 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
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