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I have to create a 1st chart with the Category on the x-axis and percentage and count on the y-axis. The Bars on the chart needs to be split further into 2 based on the Is_Company field.
I have to create a 2nd chart which will show the data for a specific category yearwise based on the selection on the 1st chart. The Year on the X axis and count on the y-axis for that specific category. So basically the 2nd chart is dependent on the 1st chart and updates when any selection is performed on the 1st charts
I am not able to achieve the 2nd chart functionality and it shows all the category data instead of the one selected on the 1st chart. I am able to achieve this slighlty in a different way by a drilldown into the Is_Company on the x-axis shared with category and then using the tooltip to link it to a different report which is hidden.
Can someone please explain how it can be achieved?
I have attached the sample data and the visualization how it needs to be look like. For ex - in the below visualization screenshot, I have selected the VL category where Is_Company = 1 but in the 2nd chart, it still shows the data for other categories and Is_Company = 1 whereas I would like it to show the count of only the VL category where Is_Company = 1 by year.
Thanks Sheng and apologies for a delay in response. Can you please provide a sample code for your statement :
"write a measure formula to extract the table 1 selection and compare it with table 2 records, and return the tags to filter on the 'visual level filter' to apply filter effects to achieve the chart interactions."
HI @rahul9731,
Do these two charts use the same data source? If that is the case, they can't directly achieve the custom filter effect.
I think you need to create a duplicate table without a relationship and use it as the source to create the second chart.
Then you can write a measure formula to extract the table 1 selection and compare it with table 2 records, and return the tags to filter on the 'visual level filter' to apply filter effects to achieve the chart interactions.
Regards,
Xiaoxin Sheng
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