Summary
Beyond widgets, a dashboard offers filters that act on several widgets at once, a fullscreen mode for presenting, layout settings, and image export (PNG / SVG). A finished dashboard can also be deployed for online viewing.
Filters
Filters are defined at the dashboard level and apply to several widgets at once. When you adjust a filter, the affected widgets recompute. You add them from the Filter icon in the toolbar.
Filter types
- Categorical — checkboxes, multi-select or single-select lists, to pick values (e.g. Sex, Ward).
- Numeric — a range slider (min/max). A two-range variant keeps, for instance, two separate age brackets.
- Date — a period (from / to), or a sliding window relative to today (“last 30 days”). Configurable presets (7 d, 30 d, 3 months…) speed up the selection.
Filter scope
By default, a filter applies to all widgets. You can restrict its scope to specific tabs or to specific widgets.
Filtering across datasets
If several widgets rely on different datasets that share a column with the same name, a filter defined on that column automatically applies to all of them. No need to redefine it per dataset.
Filters are not remembered
Active filter values are for exploring; they are not saved with the dashboard and reset on page reload. The filter definitions (which columns, which types) are kept.
Seeing which widgets are filtered
When a widget is affected by one or more filters, a small funnel icon appears in its top-left corner. On hover, a tooltip lists the filters that apply to it — handy to understand at a glance why a widget only shows part of the data.
The icon shown on a filtered widget. Hovering lists the filter columns and values that apply to it.
Fullscreen
The Fullscreen button in the toolbar makes the dashboard fill the page — ideal for a presentation or a wall display. Esc exits. Combined with the Fit to screen height setting, the content fills the screen without scrolling.
Settings
The Settings icon opens the dashboard’s layout options.
Dashboard settings
Configure display settings for this dashboard.
When disabled, title bars are hidden in view mode.
Scale widgets so the whole tab fits the visible area without scrolling.
Gap between widgets on the grid.
- Show widget titles — show or hide each widget’s title bar.
- Fit to screen height — adapt row height so the tab fits without scrolling (on by default). In this mode, widgets cannot overflow the screen: when you add a new widget, the existing widgets are resized to make room for it. In fullscreen, the widgets’ vertical proportions are preserved (a widget taking 50% of the height keeps 50%, whatever the window size).
- Reload widgets on tab switch — by default, a visited tab keeps its results cached, making switching instant and avoiding re-running R/Python. Turn this on to always recompute.
- Widget spacing — the gap between widgets on the grid.
- Default dataset — the dataset proposed automatically for new widgets, so you do not re-select it each time. You can also assign it to existing widgets in one click — for the current tab or for all tabs — which saves reconfiguring each widget one by one.
Image export
The Export button produces images of the widgets — for an article, a presentation or a report.
Export figures
Export dashboard widgets as images.
Scope
Format
Resolution
- Scope — the current tab or the whole dashboard.
- Selection — tick the widgets to export.
- Format — PNG (raster image, with an adjustable DPI resolution) or SVG (vector, crisp at any size, ideal for charts).
- Result — a single widget downloads directly; several widgets are bundled into a ZIP archive.
SVG for charts
For built-in charts, SVG export captures the true vector drawing — crisp and reusable in a layout tool. Complex content (maps, large tables) is exported as a raster image.
Versioning a dashboard
Like the other elements of a project, a dashboard can be versioned: its changes are tracked over time, and the project can be linked to a git repository for history and multi-person work. This mechanism is not specific to dashboards — it applies to the whole project — and is covered on the Versioning page in the Collaborating section.
Deploying a dashboard
A finished dashboard does not have to stay local. Linkr can deploy a project — including pre-loaded data and dashboards — as a static site viewable online, for example on GitLab Pages, with no server to install.
Coming soon: the deployment guide
Deployment relies on Linkr Portal, which packages a project into a ready-to-publish site. A dedicated page will detail the procedure; in the meantime, see the deployment modes.