Returns a vertical stacked bar plot that displays the proportion of the Usage Segments over time. This visualization helps to understand the distribution of user segments across different time periods. While a main use case is for Copilot metrics, this function can be applied to other metrics, such as 'Chats_sent'.
plot_ts_us(
data,
metric,
cus,
caption,
threshold = NULL,
width = NULL,
max_window = NULL,
power_thres = 15,
version = NULL
)A ggplot object representing the stacked bar plot of usage segments.
A data frame with a column containing the Usage Segments, denoted
by cus. The data frame must also include a MetricDate column.
A string representing the name of the metric column to be classified.
A string representing the name of the column containing the usage segment classifications (e.g., "UsageSegments_12w").
A string representing the caption for the plot. This is typically used to provide additional context or information about the visualization.
Numeric value specifying the minimum threshold for a valid count. Only used when creating custom parameter captions. Defaults to NULL.
Integer specifying the number of qualifying counts to consider for a habit. Only used when creating custom parameter captions. Defaults to NULL.
Integer specifying the maximum window to consider for a habit. Only used when creating custom parameter captions. Defaults to NULL.
Numeric value specifying the minimum weekly average actions required to be classified as a 'Power User'. Defaults to 15.
A string indicating the version of the classification. Valid options are "12w", "4w", or NULL for custom parameters. Used to determine which definitions to show in the caption.