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How to Exclude Records with a Minimum Resource Value of 0 in QlikView and Qlik Sense

Learn how to efficiently filter out records in QlikView and Qlik Sense when at least one related measure has a value of `0`. This guide provides practical solutions for better data analysis. --- This video is based on the question https://stackoverflow.com/q/74150757/ asked by the user 'LoKi_Asterix' ( https://stackoverflow.com/u/18840148/ ) and on the answer https://stackoverflow.com/a/74187799/ provided by the user 'Stefan Stoichev' ( https://stackoverflow.com/u/159365/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to remove records when ID has at least one related measure = 0 Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- How to Exclude Records with a Minimum Resource Value of 0 in QlikView and Qlik Sense When working with data analysis tools like QlikView and Qlik Sense, it's not uncommon to encounter situations where certain records need to be excluded based on specific criteria. One such scenario arises when you want to remove records from your dataset where a certain measure – in this case, related resources – is equal to 0. For instance, let's consider a table that outlines various PersonalID entries, along with their associated UsedResources. If an ID has at least one entry with UsedResources = 0, you might want to exclude all entries tied to that ID from analysis. In this guide, we will walk you through how to effectively implement this in QlikView or Qlik Sense. Understanding the Problem Given the following table: PersonalIDID_HolderAssigmentTagsUsedResourcesC123KratosAS0010C123KratosAS99915C123KratosAS54220P567ZesusAS87425P567ZesusAS12310P567ZesusAS9835In this case, we want to exclude all entries for PersonalID C123 because it has an entry with UsedResources of 0. Solution Overview To solve this issue, you can flag these records during the data load process and then use this flag to filter them out within your application. Let's break down the solution into manageable steps. Step 1: Load Your Data Start by loading your data using the following script: [[See Video to Reveal this Text or Code Snippet]] Step 2: Create Flags for Filtering Next, join with a new load statement to create a flag called HasNonZeroResources. This flag will help identify records that have no related UsedResources equal to 0. [[See Video to Reveal this Text or Code Snippet]] Step 3: Use the Flag in Your UI After reloading your data, you can now utilize the HasNonZeroResources field in your expressions. Here are two methods to accomplish this: Method 1: Using Set Analysis You can use Set Analysis to filter counts based on the flag. This is the most straightforward approach. [[See Video to Reveal this Text or Code Snippet]] Method 2: Without Set Analysis Alternatively, you can achieve a similar result without Set Analysis, although it's not as commonly accepted. [[See Video to Reveal this Text or Code Snippet]] Step 4: Expression to Include Only Valid IDs To refine your analysis further, you may wish to only include PersonalIDs where the minimum value of UsedResources is greater than 0. [[See Video to Reveal this Text or Code Snippet]] Conclusion By following these steps, you can effectively filter out records from your dataset in QlikView or Qlik Sense based on your specific criteria. This approach not only simplifies your analysis but also ensures that you are working with clean and relevant data. With these tools and methods, you can enhance your data storytelling and make informed decisions based on valid metrics. Whether you're new to Qlik or a seasoned expert, understanding how to manipulate your data effectively is crucial for insightful analysis. Happy analyzing!