Data Visualization in Tables

🎯Objective

In this article, you will learn how to use the new Data Visualization in Tables feature, which allows you to organize and analyze data in a table format within the platform. This improvement simplifies analysis without needing to export data to external tools.

This article contains the following sections:

• What is data visualization in tables?
• How to create a table?
• Usage restrictions
  
  

🔍 What is data visualization in tables?

This feature enables users to switch the view of data from charts to table format, offering more organized and holistic analysis directly within the platform.

Main features:

• Relate up to 10 data properties in a table for a detailed view.
• Simplified visualization, eliminating the need to export data.

This feature removes the need to unify exported CSV data, optimizing the analysis experience directly on the platform.

⚙️ How to create a table?

1. When creating charts, add at least one property to the view and select the option to switch the type to table.
2. Use the drag-and-drop tool to add up to 10 properties you want to relate in the table.
3. Arrange the properties as needed to simplify your analysis.
   
   

🔒 Usage restrictions

• Column limit: Each table can initially have up to 10 columns or properties.
• Classic Users: Classic customers can use this feature but cannot access Workflow data in tables. Migrated metadata properties will be available along with the platform’s standard properties.
• Classic Workflow Data: These data are unavailable for use in tables and remain accessible only in static charts.

With this feature, you gain a practical and centralized way to analyze your information within the platform.