plot_ts_us

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'.

Provides a versatile range of functions, including exploratory data analysis, time-series analysis, organizational network analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.

Martin Chan

vivainsights

Analyze and Visualize Data from 'Microsoft Viva Insights'

Carlos Morales

plot_ts_us function

<dl><dt>data</dt>
<dd>A data frame with a column containing the Usage Segments,
denoted by <code>cus</code>. The data frame must also include a <code>MetricDate</code> column.</dd>
<dt>cus</dt>
<dd>A string representing the name of the column containing the usage
segment classifications (e.g., "UsageSegments_12w").</dd>
<dt>caption</dt>
<dd>A string representing the caption for the plot. This is typically
used to provide additional context or information about the visualization.</dd></dl>

Arguments

Plot Usage Segments over time — plot_ts_us

<dl>

<dt>data</dt>
<dd>A data frame with a column containing the Usage Segments,
denoted by <code>cus</code>. The data frame must also include a <code>MetricDate</code> column.</dd>


<dt>cus</dt>
<dd>A string representing the name of the column containing the usage
segment classifications (e.g., "UsageSegments_12w").</dd>


<dt>caption</dt>
<dd>A string representing the caption for the plot. This is typically
used to provide additional context or information about the visualization.</dd>

</dl>

plot_ts_us: Plot Usage Segments over time

Description

Usage

Value

Arguments