Enhancement

Toggling between aggregated and raw-records in the table chart doesn't keep metrics and dimensions. Dimesions should translate to Columns when changing from aggregate to raw.

when configuring filters for a dashboard, we get the column names instead of the verbose (label) names for the fields. It is not interesting for our users to know these column names and we unify the metrics actually by the verbose name.

When downloading to an excel chart, it would be nice to remove the rown numbers from also being exported.

In the Explore interface, implement filters that are relient on one another. Set one filter and on applying the next filter, limit the options to only the sub-categories of the previous filter. Example: setting a filter for Region (eg North Americ...

A user would like the SQL Editor to provide the option of creating a table/view directly at the data source level (e.g., Athena). This would help improve the process of having to work with one query at a time.

A user would like to provide more flexibility for non-SQL first users by creating a highly dimensional dataset. However, the limitation of the semantic layer makes it difficulty since the limit is set at 99 columns.

What is the problem or goal the end user is trying to solve or accomplish? A lot of alerts are being sent, and it's important to react to the alerts that are truly critical How are they solving it currently? Alerts are currently being sent even if...

What is the problem or goal the end user is trying to solve or accomplish? Users are seeing a lot of (dozens) active connections to a database when a dashboard is loading, which creates performance issues for the underlying database. What is the r...

As our use of SuperSet is growing and we have more and more dashboards in the system, it is becoming harder to see clearly what are the most important dashboards. I propose a pin feature in the dashboard list, to highlight most important dashboard...

A user would like to show the data points for a line chart. This option doesn't exist or difficult to discover for the specified visualization type.