meeting_extract: Extract top low-engagement meetings from the Meeting Query

In wpa: Tools for Analysing and Visualising Viva Insights Data

Extract top low-engagement meetings from the Meeting Query

Description

Pass a Standard Meeting Query and extract the top low engagement meetings.

Usage

meeting_extract(
  data,
  recurring_only = TRUE,
  top_n = 30,
  fte_month = 180,
  fte_week = 40,
  return = "table"
)

Arguments

data	Data frame containing a Standard Meeting Query to pass through.
recurring_only	Logical value indicating whether to only filter by recurring meetings.
top_n	Numeric value for the top number of results to return in the output.
fte_month	Numeric value for the assumed number of employee hours per month for conversion calculations. Defaults to 180.
fte_week	Numeric value for the assumed number of employee hours per week for conversion calculations. Defaults to 180.
return	String specifying what to return. This must be one of the following strings: "table" "data" See Value for more information.

Value

A different output is returned depending on the value passed to the return argument:

• "table": data frame. A summary table containing the top n low engagement meetings

• "data": data frame. Contains the full computed metrics related to the top n low engagement meetings

See Also

Other Meetings: meeting_dist(), meeting_fizz(), meeting_line(), meeting_quality(), meeting_rank(), meeting_skim(), meeting_summary(), meeting_tm_report(), meeting_trend(), meetingtype_dist_ca(), meetingtype_dist_mt(), meetingtype_dist(), meetingtype_summary()

Examples

meeting_extract(mt_data,
                recurring_only = FALSE,
                top_n = 10,
                return = "table")

wpa documentation built on Aug. 21, 2023, 5:11 p.m.