Generic Widget for Timeline Visualizations

Creates charts for each metric by applying a visualization function to stacked results data. The visualization function is specified as a string (e.g. "gsm.timez::Visualize_Heatmap") and resolved at runtime.

Usage

Widget(
  dfResults,
  strVisualizeFun,
  strOutputLabel,
  strIcon = NULL,
  bInteractive = TRUE,
  dfBounds = NULL,
  ...
)

Arguments

dfResults

A stacked data frame with a MetricID column and all columns required by the visualization function.

strVisualizeFun

Character string specifying the visualization function to apply, including namespace (e.g., "gsm.timez::Visualize_Heatmap").

strOutputLabel

Character string for the chart tab label in the report.

strIcon

Optional Font Awesome icon name. If provided, the icon is prepended to the tab label.

bInteractive

Logical. If TRUE (default), creates fully interactive plotly charts. If FALSE, creates static plotly charts (no zoom, pan, hover) which render faster and produce smaller HTML output. Use FALSE for visualizations with many elements.

dfBounds

Optional data frame with a MetricID column. When provided, it is filtered to the current MetricID and passed as the second positional argument to the visualization function, before .... Use this for functions like Visualize_Funnel() that require a separate bounds data frame.

...

Additional arguments passed to the visualization function.

Value

A named list keyed by MetricID. Each element is itself a named list keyed by strOutputLabel, containing a plotly htmlwidget object.