Hello GD team, 1. Does Good data Cloud product hav...
# gooddata-cloud
m
Hello GD team, 1. Does Good data Cloud product have the functionality of dinamically adjusting a table view based on a filter? For instance, we have 3 types of funnel tables and the funnel type is a filter. Each type of funnel has some shared and some different columns. this ends up with a different number of columns in a table. Is it possible to make a table react to the filer via adjusting the number of columns? I've checked the Custom Plugins but didn't find anything there. Asking in case I have missed some opportunity to reach that goal! 2. My second question would be about the difference between sum and total rollup? while rollup is the expected value i thought maybe we have some duplicated keys (conversion keys that we're counting) but that's not the case. thank you!
m
Hi Masha, GoodData Cloud does not support dynamically adjusting the number of columns in a table based on a filter selection. While filters can modify the data displayed within a table, the table structure itself—including the number of columns—remains static. This limitation exists because the table visualization is predefined in the analytical model and does not dynamically reconfigure. However, I’d be happy to mark this as product feedback for future consideration! Secondly, the issue is here the difference between “SUM vs Roll Up” - The rollup function is a “smart” aggregation, and instead of just summing up or averaging the numbers that are already calculated with the report, it recalculates everything using the not yet processed underlying data. More details can be found here https://www.gooddata.com/docs/cloud/create-visualizations/visualization-types/pivot-tables/#PivotTable-TableTotals
m
hi Michael, thanks much for the explanations! so for our case in the general sum i think there are some duplicates indeed, they do have distinct keys but i guess your smart rollup has spotted them somehow indirectly, in the data model maybe. cool feature, i'll dig deeper into it, thanks