Summary
Once your cohorts and datasets are ready, dashboards let you explore and present the results by assembling widgets. It is a major module of Linkr, with its own documentation section.
The final step: presenting
Exploring and analysing almost always leads to presenting: describing a population, comparing groups, tracking an indicator. In Linkr, this takes two complementary forms: dashboards — interactive spaces where you assemble widgets (charts, tables, indicators) on a grid, organised into tabs — and reports, which aim at a laid-out document for reading or printing.
Because dashboards cover several topics on their own (tabs, widget catalog, custom code, filters, export), they are documented in a dedicated section rather than on a single page.
See the Dashboards section
The whole documentation lives in the Dashboards section:
- Overview — purpose and structure (dashboards, tabs, widgets).
- Tabs and widgets — create and position widgets.
- Built-in widgets — the catalog of ready-to-use analyses.
- R, Python and SQL code — write your own code in a widget.
- Filters, settings and export — filter, lay out, export.
To place dashboards in a project’s overall flow (warehouse → pipeline → lab), see The data pipeline.