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Documentation Dashboards Built-in widgets

Built-in widgets

The plugin library shipped with Linkr: the catalogue, the visualisation widgets, and where to find the detail of the statistical analyses.

Summary

Linkr ships a library of ready-made plugins — without writing a line of code. This page presents the catalogue and details the visualisation widgets; the statistical analyses, control charts and surveys each have their own page.

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

The catalogue

These widgets are plugins shipped with Linkr: you add them from Add a widget, the Plugin tab (they carry a Built-in badge). You then pick the columns to analyse, an optional grouping variable, and the appearance; the result updates live (see Configuring a widget).

demo.linkr.interhop.org
Plot builder

Scatter, line, bar, histogram, boxplot, violin.

Built-inv1.0.0
Key indicator

Aggregate value, icon and optional mini-chart.

Built-inv1.0.0
Table 1

Descriptive statistics: counts, %, means, medians, IQR.

Built-inv1.0.0
Survival analysis

Kaplan-Meier: curves, log-rank, median, at-risk table.

Built-inv1.0.0
Statistical tests

t-test, Mann-Whitney, χ², Fisher, ANOVA, Kruskal-Wallis.

Built-inv1.0.0
Regression

Linear and logistic: coefficients, odds ratios, forest plot.

Built-inv1.0.0
Correlation matrix

Pearson or Spearman, p-values, significance.

Built-inv1.0.0
Sankey diagram

Flows and transitions: patient pathways, funnels.

Built-inv1.1.0
Map

Geographic points (longitude / latitude), colour, size.

Built-inv1.0.0
The library of analysis plugins shipped with Linkr.

Widget by widget

Plot builder

A versatile chart builder: scatter, line, bar, histogram, boxplot, violin. You pick the X and Y variables, a colour/grouping variable, and a per-entity aggregation (first, last, mean, median, min, max, sum) when an individual has several values. Legends, axes, colour palettes, opacity and point size are adjustable.

Age distribution by sex
0255075100Age (years)
Female Male

Key indicator

A single highlighted aggregate value (mean, median, sum, count, proportion, standard deviation, quantiles…), with an icon, a colour, a statistical subtitle and, optionally, a mini-chart (histogram, bar, pie).

Mean age
64,2yrs

n = 3,558 · SD 15.2

Sankey diagram

Visualising flows: patient pathways, selection funnels, transitions between states. Three data shapes are accepted (rows = steps, columns = levels, or a path string). Flows that are too rare or too frequent can be hidden, and the diagram, a table, or both can be displayed.

Sankey diagram — patient pathways
EDICUWardHomeDeath

Map

A geographic visualisation based on Leaflet: marker position, colour, size and label driven by a variable, a choice of base map and information bubbles on hover.

The statistical analyses have their own pages

Six widgets need more than a paragraph — not because they are harder to configure, but because reading them correctly means knowing what they compute. They are covered separately.

Analysis widgets

Descriptive table, statistical tests, regression, survival, correlation matrix — and how the test is chosen.

Control charts (SPC)

Tracking an indicator over time without mistaking noise for change.

Surveys and eCRF

Analysing a questionnaire export one question at a time.

Warehouse widgets

Beyond these analyses, Linkr offers patient-data widgets (demographic summary, timeline of measurements, clinical notes). They belong to exploring individual data rather than composing dashboards; they are covered in the Exploring and analysing section.

When the catalogue is not enough

If no plugin in the catalogue matches your need, two options:

  • Custom code in R or Python right inside a widget — ideal for a one-off, custom analysis.
  • Build a plugin — to package a reusable, configurable, shareable analysis that then appears in the catalogue.
PreviousTabs and widgetsNextAnalysis widgets

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