Distribution of Meeting Types by number of Attendees and Duration

Source: R/meetingtype_dist.R

Calculate the hour distribution of internal meeting types. This is a wrapper around meetingtype_dist_mt() and meetingtype_dist_ca(), depending on whether a Meeting Query or a Ways of Working Assessment Query is passed as an input.

meetingtype_dist(data, hrvar = NULL, mingroup = 5, return = "plot")

Arguments

data

Data frame. If a meeting query, must contain the variables Attendee and DurationHours.

hrvar

Character string to specify the HR attribute to split the data by. Note that this is only applicable if a Ways of Working Assessment query is passed to the function. If a Meeting Query is passed instead, this argument is ignored.

mingroup

Numeric value setting the privacy threshold / minimum group size. Defaults to 5. Only applicable when using a Ways of Working Assessment query.

return

String specifying what to return. This must be one of the following strings:

  • "plot"

  • "table"

See Value for more information.

Value

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

argument:

  • "plot": ggplot object. A matrix of meeting types with duration and the number of attendees. If using a Ways of Working Assessment query with meetingtype_dist_ca() and an HR attribute with more than one unique value is passed to hrvar, a stacked bar plot is returned.

  • "table": data frame. A summary table.

See also

Other Visualization: afterhours_dist(), afterhours_fizz(), afterhours_line(), afterhours_rank(), afterhours_summary(), afterhours_trend(), collaboration_area(), collaboration_dist(), collaboration_fizz(), collaboration_line(), collaboration_rank(), collaboration_sum(), collaboration_trend(), create_bar_asis(), create_bar(), create_boxplot(), create_bubble(), create_dist(), create_fizz(), create_inc(), create_line_asis(), create_line(), create_period_scatter(), create_rank(), create_sankey(), create_scatter(), create_stacked(), create_tracking(), create_trend(), email_dist(), email_fizz(), email_line(), email_rank(), email_summary(), email_trend(), external_dist(), external_fizz(), external_line(), external_network_plot(), external_rank(), external_sum(), hr_trend(), hrvar_count(), hrvar_trend(), internal_network_plot(), keymetrics_scan(), meeting_dist(), meeting_fizz(), meeting_line(), meeting_quality(), meeting_rank(), meeting_summary(), meeting_trend(), meetingtype_dist_ca(), meetingtype_dist_mt(), meetingtype_summary(), mgrcoatt_dist(), mgrrel_matrix(), one2one_dist(), one2one_fizz(), one2one_freq(), one2one_line(), one2one_rank(), one2one_sum(), one2one_trend(), period_change(), workloads_dist(), workloads_fizz(), workloads_line(), workloads_rank(), workloads_summary(), workloads_trend(), workpatterns_area(), workpatterns_rank()

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

Examples

# Implementation using Standard Meeting Query
meetingtype_dist(mt_data)
#> Calculating results using a Meeting Query...