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Vizlib Ridgeline Plot Best Practice and Troubleshooting

When you're working with Vizlib Ridgeline Plot it's important to be clear about what you can and can't do. We've collected together a list of tips for best practice and known issues and listed them here for you. 


Best Practice 

  • Let's introduce you - If you're new to Vizlib Ridgeline Plot, or looking to find some information, the Introduction page has links to the product resources and knowledge base articles.
  • Work with the wizard - Always use the Setup Wizard to start building your ridgeline plot, you can always add expressions or edit data in the property panel once you have the basic version.
  • Get Sorted - Vizlib Ridgeline Plot is a great way to visualize trends or distribution data, but the chart won't display correctly if the dimensions aren't in the correct order. Use the Sorting menu in the property panel to arrange the dimensions and display the data correctly.
  • Color code it - use Select measure when coloring by measure to customize the display and keep the results distinctive. 
  • There is an alternative - Vizlib Ridgeline Plot 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 user experience. If you'd like to add more focus to your chart, look at adding reference lines to help users analyze the chart data.
  • Performance - Vizlib Ridgeline Plot uses the Qlik Sense hub engine, and each individual value will be processed separately. If you're working with very large amounts of data, this will affect the Qlik Sense engine processing time and performance may become slower. You can find more information in our article on Best Practice and Performance Optimization in Qlik Sense.  

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Known Issues

There are currently no known issues reported for Vizlib Ridgeline Plot

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