31 January 2022 Visualizing time series 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 Business Analyst certification practice question about visualizing time series: The answers you gave to this question were quite varied, with each answer getting at least one mention. While in real life there is often room for nuance, in the context of Qlik certifications there is typically only one answer: The correct answer is A: Line Chart We’ll go more in-depth on time-series visualization in a future post, where we’ll also add some nuance and will discuss things such as discrete and continuous data as well as categorical, ordinal and interval variables. For now, just remember, whenever a time-series is mentioned on a Qlik certification question, 99% of the time the answer will be the line chart, or variants such as the area chart or combo chart. So, let’s see what the result looks like: Compare this to the other options: Option B, the bar chart, gives a pretty good view of the data, but as the individual bars are not connected it’s harder to compare values between months. Compare for example the period May – July. In the line chart the ‘dip’ in June is much easier to spot (even when adjusted to the same vertical height). Option C, the scatter plot, is great for showing that Revenue and Margin are positively associated, but is useless for showing the trend across time periods. Option D, the table, is great source of information if you want to make a better visualization based on this data, but gives us the least immediate insight. 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 Visualization 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