Slack: https://credible-data.slack.com/archives/C085VT95H2T/p1779163198849109?thread_ts=1779148402.208669&cid=C085VT95H2T
- Malloy renderer has an annotation # dashboard. It assembles a set of tables and charts into a dashboard. this dashboard is ugly. I think primarily for 2 reasons: a) it is not organized - every component's width is determined and so you can end up in weird situations where a bunch of and b) the background color is not white and so it doesn't look good. the theming above will help, but we should also have more modern default values.
I have malloydata/malloy#2720 which solves most of this (I think) by introducing a 12-column grid layout => this makes dashboard design much more intentional, but I'd like another set of eyes on it and help getting it across the line (need mtoy to approve & merge it). Per mtoy's feedback, I didn't default to my new grid-defined mode...I left the default as the old flex mode. Halfway through my implementation mtoy also updated malloy to have renderer validation (malloydata/malloy#2774) but I don't think I fully implemented this new validation contract (though honestly I don't quite remember).
A related gap (I think) is when you have multiple # big_value aggregates all together - they are also look haphazard - see attached images.
Let me know if this makes sense - I've attached a few screenshots to illustrate.

Slack: https://credible-data.slack.com/archives/C085VT95H2T/p1779163198849109?thread_ts=1779148402.208669&cid=C085VT95H2T
I have malloydata/malloy#2720 which solves most of this (I think) by introducing a 12-column grid layout => this makes dashboard design much more intentional, but I'd like another set of eyes on it and help getting it across the line (need mtoy to approve & merge it). Per mtoy's feedback, I didn't default to my new grid-defined mode...I left the default as the old flex mode. Halfway through my implementation mtoy also updated malloy to have renderer validation (malloydata/malloy#2774) but I don't think I fully implemented this new validation contract (though honestly I don't quite remember).
A related gap (I think) is when you have multiple # big_value aggregates all together - they are also look haphazard - see attached images.
Let me know if this makes sense - I've attached a few screenshots to illustrate.