Linking filters across charts
A dashboard becomes far more powerful when its charts talk to each other. Cross-chart filter sync lets a single click drive the whole board: select a region in one chart and every other chart narrows to that region, so you can explore a dataset by pointing at it rather than editing filters one chart at a time. This article explains what filter sync does, how to set up filter groups, and the everyday use cases that make it worth configuring.
What cross-chart filter sync is
Cross-chart filter sync means that clicking a value in one chart filters the other charts on the same dashboard. When you click a bar, a slice, or a point, Dotwave reads the value you selected and applies it as a filter to the linked charts, which recompute to show only the matching data. The dashboard becomes interactive: instead of a static set of pictures, it is a board you can interrogate by clicking, where every selection reshapes the surrounding context.
Because all the charts on a dashboard draw from the same cleaned dataset, they share the columns that filtering keys off. That common foundation is what lets a click on one chart carry cleanly across to the others.
Setting up filter groups
You control which charts respond to each other by placing them in filter groups. Charts in the same group are synchronized — a selection in one filters the rest of the group — while charts outside the group are left untouched. This lets you decide the scope of an interaction rather than forcing every chart on the board to react to every click.
- Put charts that share a natural filtering dimension — the same region field, the same date field — into one group so a click on any of them refocuses the others.
- Keep a chart out of a group when it should stay fixed as a stable reference while the rest of the board reacts.
Filter groups define the reach of a click. If a chart isn't responding to a selection the way you expect, check that it belongs to the same group as the chart you're clicking.
Use cases
Filter sync shines whenever you want to move from an overview into a specific cut of the data without rebuilding anything:
- Filter by region. Click a region in a bar chart and every other chart on the dashboard filters to that region — the trend line, the KPI, the table all narrow to the region you selected, so you see that market's full story in one move.
- Drill into a month. Click a month in a trend chart and all the charts drill to that month, letting you inspect a single period across every metric on the board at once.
In both cases the value is speed and coherence: one click reframes the entire dashboard to the slice you care about, and one click back restores the full picture. For a client walkthrough, this turns a flat report into a guided exploration you can steer live.
Group your charts around the dimensions a client will actually ask about — usually region and time. A well-grouped dashboard answers "what about just the northeast in Q3?" with two clicks instead of a rebuild.
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