{"id":1444,"date":"2026-06-22T10:45:12","date_gmt":"2026-06-22T15:45:12","guid":{"rendered":"https:\/\/blog.data-principles.com\/?p=1444"},"modified":"2026-06-22T10:45:12","modified_gmt":"2026-06-22T15:45:12","slug":"how-to-choose-the-right-chart-for-your-use-case","status":"publish","type":"post","link":"https:\/\/blog.data-principles.com\/index.php\/2026\/06\/22\/how-to-choose-the-right-chart-for-your-use-case\/","title":{"rendered":"How to Choose the Right Chart for Your Use Case\u00a0"},"content":{"rendered":"\n

By Jeremiah Willett<\/em><\/p>\n\n\n\n

Let\u2019s assume that we have done everything right on our self-service BI journey. We\u2019ve built clean data models<\/a> and have pristine data quality. Surely there is nothing that can ruin the project now, right? Not so fast! We still have a critical step to accomplish: selecting the right chart for our data. It is a common mistake for the dashboard developer to pick the fanciest chart rather than what best communicates the data. Picking the wrong chart can lead to confusion with the business users and will ultimately hurt adoption of the BI project. Here is a general guide to selecting the right chart for your use case.  <\/p>\n\n\n\n

BI tools like Qlik, Power BI, and Tableau have dozens of native charts to choose from alongside vast amounts of third-party custom visuals. With so many options, it can feel overwhelming to select the right one for your use case. In this article we will discuss four core use cases that will cover many of the scenarios you\u2019ll encounter when building intuitive dashboards for your organization.\u00a0\u00a0<\/p>\n\n\n\n

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