This example shows a Qlik Sense table that has been created with the Visualization API. Every 20 seconds, this page makes a call to a web service to get an imaginary USD-EUR conversion rate and uses the value to update the expression behind the "Sales €" column. This is achieved using the applyPatches() method.
This example shows the power of Generic Objects. When working at an Engine API levelyou have the freedom to design the data layer first and then create a visualisation to match.
Standard Qlik visualisations typically use a single HyperCube. The KPIs below each contain 3 HyperCubes and the barchart has 4.
Click on the KPIs to flip them.
Hover over the bars on the barchart to see more information about each bar.
This is Sensey McSenseFace. A search tool, designed to sit on top of a Qlik application that uses natural language to create visualisations on the fly.
To test it, type sales, sales by region , average sales amount for beverages by region or who sells the least.