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Documentation Exploring and analysing Dashboards

Dashboards

Dashboards present your analyses. This page points to the dedicated section.

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.

Client Available in client-only mode — runs entirely in the browser, no backend. Backend Backend (FastAPI) under development.

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.

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