Dataset table widgets
The first type of dashboard widget we’ll add is the Datasets Table widget. To do this, we’ll click the + button in the upper left corner and choose the Table widget in the Datasets section.
Then we’ll choose the Fitness Tests dataset.
Then click the “add” button for the Age and Gender fields.
This adds two field tables to our dashboard canvas. They’re exactly the same as the tables that we’re used to seeing on the Datasets Explore tab, except that we can drag and resize them on our freeform dashboard canvas.
We can change all kinds of widget formatting options like background, font size, and rounding of numbers.
This is what it looks like when we save and click to the Dashboards View tab.
Just like on the Datasets Explore tab, when you click on a row in a Dataset Table widget, it filters all of the results on the dashboard including the other widgets.
Dataset value widgets
The next type of widget that we’ll add to the dashboard are Dataset Value widgets. These are similar to Dataset Table widgets except that they only show a single value.
In this example we’ll add the average sit-up score, the average push-up score, the average run score, and the total number of tests.
As before, if you click on a row in a table widget, all of the widgets on the dashboard update with new values, including the Single Value widgets.
Dataset filter widgets
Another type of dataset dashboard widget are Dataset Filter widgets. They allow you to quickly apply filters to your dashboard, without taking up as much space as a Dataset Table widget.
Here we’ve clicked on the Gender dataset filter widget and we’ve applied a filter of Male.
Turning off the filter type allows filter widgets to be even more compact.