calculate_distribution_summary: Calculate Distribution Summary Statistics

In vivainsights: Analyze and Visualize Data from 'Microsoft Viva Insights'

Calculate Distribution Summary Statistics

Description

Internal helper function to calculate comprehensive distribution statistics for a given metric grouped by a categorical variable. Used by create_hist(), create_density(), and create_boxplot() to ensure consistent output.

Usage

calculate_distribution_summary(plot_data, metric)

Arguments

plot_data	A data frame containing the metric data with columns: group: The grouping variable ⁠<metric>⁠: The metric column (name specified in metric parameter)
metric	Character string containing the name of the metric column

Value

A data frame with distribution statistics:

• group: The grouping variable

• mean: Mean of the metric

• min: Minimum value of the metric

• p10: 10th percentile of the metric

• p25: 25th percentile of the metric

• p50: 50th percentile (median) of the metric

• p75: 75th percentile of the metric

• p90: 90th percentile of the metric

• max: Maximum value of the metric

• sd: Standard deviation of the metric

• range: Range of the metric (max - min)

• n: Number of observations

vivainsights documentation built on Aug. 8, 2025, 6:21 p.m.