When you're working with Vizlib Scatter Chart it's important to be clear about what you can and can't do. We've collected together some tips for best practice, as well any known issues and listed them here for you.
TABLE OF CONTENTS
Best Practice
- Let's introduce you - If you're new to Vizlib Scatter Chart, or looking to find some information, the Introduction page has links to the product resources and knowledge base articles.
- Setup - Vizlib Scatter Chart has a Setup guide to help you start building a chart quickly. You can add expressions or edit data in the property panel once you have the basic version.
- There is an alternative - Vizlib Scatter Chart can be used with alternative dimensions and measures. If you add alternatives, you'll be able to choose the measure you prefer when you're using analysis mode, changing the outcome of the chart for a much more adaptable and varied used experience. If you'd like to add more focus to your chart, look at adding reference lines to help users analyze the chart data.
- Explore clustering - If you'd like to increase the power of your scatter chart, think about enabling cluster calculations in Advanced Analytics. Clustering might sound complicated, but only needs to be set up once in a chart and you can make changes if you need to.
- Performance - Vizlib Scatter Chart uses using the Qlik Sense hub engine, and each individual value will be processed separately. If you're working with very large amounts of dimensions, or loading images using URLs, this will affect the Qlik Sense engine processing time and performance may become slower. Vizlib Scatter Chart performs best with smaller numbers of dimensions (e.g. 4 measures and 1 dimension). You can find more information in our article on Best Practice and Performance Optimization in Qlik Sense.
Known Issues
We currently have no known issues reported in connection with Vizlib Scatter Chart.