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Creates a visualization of activity types over time from wearable data. The chart can display activities either as merged horizontal bars per day or as individual activity segments with transitions.

Usage

activity_chart(
  .data,
  start = "start_time",
  end = "end_time",
  variable = "variable",
  value = "value",
  tz_offset = "tz_offset",
  merged_bars = TRUE
)

Arguments

.data

A data frame containing the wearable data.

start

The name of the column containing start timestamps. Defaults to "start_time".

end

The name of the column containing end timestamps. Defaults to "end_time".

variable

The name of the column containing variable names. Defaults to "variable".

value

The name of the column containing measurement values. Defaults to "value".

tz_offset

The name of the column containing timezone offsets. Defaults to "tz_offset".

merged_bars

Logical. If TRUE (default), activities are shown as a single row per day. If FALSE, activities are shown with vertical transitions between states.

Value

A ggplot2::ggplot object displaying activity types over time.

See also

activity_intensity_chart() for activity intensity levels, steps_chart() for step counts

Examples

# Show a single timeline
activity_chart(dynamic_data)


# Display activities with transitions
activity_chart(dynamic_data, merged_bars = FALSE)