27 December 2022 Calculating fractiles in Qlik 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 calculating fractiles in Qlik. It seems like a lot of you have spend a great time around Christmas, since we are normally used to more answers. The correct answer is B Fractile Fractile is a function which allows you to calculate a fractile of a set of values in a field. A fractile is a value that divides a set of data into intervals. For example, the 50th fractile of a set of values would be the value that divides the set into two equal parts: the values below the 50th fractile and the values above it. The syntax for Fractile is as follows: Fractile([{SetExpression}] [DISTINCT] [TOTAL [<fld{, fld}>]] expr, fraction) To illustrate how fractiles work please see the diagram below: Here we can see that the 50th fractile is the exact median of the range. The first quartile will be the first 25% of values and so on for each quartile and the interesting to focus on is the deciles. This is all the values divided in parts of ten. So in order to get to that top 10% we need to use 0.9 as the fraction in the syntax. This will give us the value at the 90th percentile. Everything above this will be the top 10%. AGGR This brings us to the second part of the answer. To properly calculate the value of the 90th percentile, we need to use another aggregation. Fractile needs to be calculated on a dimension. In this case per person. So by using the Aggr function we first calculate the following (if you need to refreshen the Aggr function, please refer to this blog post): Aggr(Sum(Nice) - Sum(Naughty), Person) This calculates per person the score of each individual. Now it is possible to wrap this in the fractile expression to give the end result of the 90th fractile for all values of the score per person. Use cases Decile Analysis One very interesting feature is to do decile analysis. Decile analysis is a useful tool for understanding how a particular variable is distributed within a dataset and for identifying trends or patterns in the data. It is done by dividing the dataset in ten equal parts (deciles) and then calculate various statistics on these. It is often used in finance and economics to analyze income or wealth distribution. Below is an example of a decile analysis for sales per car brand: This gives great insights in revenue and which brands are responsible for the majority of revenue. This chart is made by using the following expression as a calculated dimension, so it it possible to also select the deciles. =Aggr(IF(Sum(Revenue) <= Fractile(total Aggr(Sum(Revenue), brandName), 0.1), 10,IF(Sum(Revenue) <= Fractile(total Aggr(Sum(Revenue), brandName), 0.2), 9,IF(Sum(Revenue) <= Fractile(total Aggr(Sum(Revenue), brandName), 0.3), 8,IF(Sum(Revenue) <= Fractile(total Aggr(Sum(Revenue), brandName), 0.4), 7,IF(Sum(Revenue) <= Fractile(total Aggr(Sum(Revenue), brandName), 0.5), 6,IF(Sum(Revenue) <= Fractile(total Aggr(Sum(Revenue), brandName), 0.6), 5,IF(Sum(Revenue) <= Fractile(total Aggr(Sum(Revenue), brandName), 0.7), 4,IF(Sum(Revenue) <= Fractile(total Aggr(Sum(Revenue), brandName), 0.8), 3,IF(Sum(Revenue) <= Fractile(total Aggr(Sum(Revenue), brandName), 0.9), 2, 1))))))))), brandName) Other things to notice By default the fractile will be calculated over the used selections, you can use set expressions to change this. Use DISTINCT to calculate the fractiles over distinct values Use TOTAL to calculate fractiles over all possible values regarding the current selections. Nested calculations are not possible with use of Fractile() unless you use the Aggr() function. Fractile() is a chart function. In the script you can use FractileExc in combination with a Group By clause. That’s it for this week! 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! Enjoying these challenges? We have many more, and we’ll even pay you to solve them 😉 Check out our job opening. Friday Qlik Test Prep Solution 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 25 April 2024 Over 3000 Qlik Sense servers still vulnerable to Cactus ransomware In November of last year we reported on how two critical vulnerabilities in Qlik Sense Enterprise for Windows were exploited in the Cactus ransomware campaign. As of today, over 3000 vulnerable Qlik Sense servers remain connected to the Internet. New Release Qlik Vulnerability 29 March 2024 Dealing with missing and late arriving values with OtherSymbol and other solutions Learn effective strategies for handling missing or late-arriving dimension values in Qlik with our expert guide. Discover how to use OtherSymbol, WHERE NOT EXISTS, and other solutions to deal with early-arriving facts Data Model Friday Qlik Test Prep Qlik Solution 22 March 2024 Picking the right color palette for your visualization Discover how to choose the perfect color palette for your data visualizations with our expert guide. Learn about single, categorical, sequential, and diverging color palettes to enhance your charts and graphs. Ideal for data analysts and visualizers. Friday Qlik Test Prep Qlik SenseTheme Visualization
25 April 2024 Over 3000 Qlik Sense servers still vulnerable to Cactus ransomware In November of last year we reported on how two critical vulnerabilities in Qlik Sense Enterprise for Windows were exploited in the Cactus ransomware campaign. As of today, over 3000 vulnerable Qlik Sense servers remain connected to the Internet. New Release Qlik Vulnerability
29 March 2024 Dealing with missing and late arriving values with OtherSymbol and other solutions Learn effective strategies for handling missing or late-arriving dimension values in Qlik with our expert guide. Discover how to use OtherSymbol, WHERE NOT EXISTS, and other solutions to deal with early-arriving facts Data Model Friday Qlik Test Prep Qlik Solution
22 March 2024 Picking the right color palette for your visualization Discover how to choose the perfect color palette for your data visualizations with our expert guide. Learn about single, categorical, sequential, and diverging color palettes to enhance your charts and graphs. Ideal for data analysts and visualizers. Friday Qlik Test Prep Qlik SenseTheme Visualization