Currently for showing a single value, we’ve found the following options:
For Viz type “Data Tables”, when only one measure is selected (or one dimension with only one row), the value is shown in large, bolded text
This is similar to the KPI that only let’s you select one single measure, and shows that value in large, bolded text
We would LOVE the ability for one of these visualizations or a similar visualization to show multiple measures in a similar bold, large-text fashion. We have a workaround to use multiple of the viz options mentioned above, one for each number, but this can result in many widgets on a given dashboard. Holistics recommends limiting to 10-15 widgets per dashboard, so this is not ideal, especially since this takes up quite a few worker slots when loading the dashboard.
If the measures are all on the same dataset or even potentially the same model table and can be pulled in one small query, then it’s likely going to be much more performant and won’t take up as many queue slots.
This feature would be much appreciated! It’s very effective how the data table visualization switches look when you have:
one single value vs.
a table of numbers
What I’d love to see is being able to opt into a different look when you have:
one row of values
one column of values
The single row or column of values would then appear very similarly to the look of a single value, but have multiple stacked values adjacent to one-another.
This would allow us to run fewer queries and get faster load times by grouping three single value queries into one query that grabs three values at the same time.
Thank you for your suggestions! This is something we’ve heard quite a bit, so it’s definitely on our radar. We’ve added it to our backlog and will keep you posted on any updates or improvements.
In the meantime, one possible approach is to use Custom Charts to display multiple metrics. Below are some templates I’ve prepared that might assist you:
Thank you! I appreciate the custom chart code templates. I’ll consider that approach, but we do value the additional validation and rigor that comes with the official chart types being used my lots of end users.