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 Take your Qlik skills to the next level! Since 2013, the Masters Summit for Qlik is the premier advanced training for Qlik. Join us in Vienna and take your Qlik skills to the next level. Join the team! Do you want to work within a highly-skilled, informal team where craftsmanship, ingenuity, knowledge sharing and personal development are valued and encouraged? Check out our job openings. Friday Qlik Test Prep Solution Visualization How can we help? Barry has over 20 years experience as a Data & Analytics architect, developer, trainer and author. He will gladly help you with any questions you may have. Call us Mail us 8 October 2024 Artificial Intelligence, Machine Learning, and Deep Learning Explained: How They Impact Your Business In today’s rapidly evolving technological landscape, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are transforming industries and redefining how businesses operate. In this blog post, we will break down these three definitions and elaborate on them. AI 25 September 2024 Building Ethical AI: Practical Frameworks for Responsible Innovation AI is transforming industries with innovation and efficiency. But with great power comes great responsibility. The real question is: How do you turn ethical principles into actionable guidelines for AI development? And what steps should your team take to make it happen? AI 17 September 2024 What is AI Ready Data Data quality is all about how accurate, consistent, complete, and up-to-date your data is. If your data is good, you’ll get reliable insights and be able to make smarter decisions. It’s a key part of making sure your AI and machine learning projects are successful. AI Qlik
8 October 2024 Artificial Intelligence, Machine Learning, and Deep Learning Explained: How They Impact Your Business In today’s rapidly evolving technological landscape, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are transforming industries and redefining how businesses operate. In this blog post, we will break down these three definitions and elaborate on them. AI
25 September 2024 Building Ethical AI: Practical Frameworks for Responsible Innovation AI is transforming industries with innovation and efficiency. But with great power comes great responsibility. The real question is: How do you turn ethical principles into actionable guidelines for AI development? And what steps should your team take to make it happen? AI
17 September 2024 What is AI Ready Data Data quality is all about how accurate, consistent, complete, and up-to-date your data is. If your data is good, you’ll get reliable insights and be able to make smarter decisions. It’s a key part of making sure your AI and machine learning projects are successful. AI Qlik