Analyze Meeting Hours distribution. Returns a stacked bar plot by default. Additional options available to return a table with distribution elements.
meeting_dist(
data,
hrvar = "Organization",
mingroup = 5,
return = "plot",
cut = c(5, 10, 15)
)Arguments
- data
A Standard Person Query dataset in the form of a data frame.
- hrvar
String containing the name of the HR Variable by which to split metrics. Defaults to
"Organization". To run the analysis on the total instead of splitting by an HR attribute, supplyNULL(without quotes).- mingroup
Numeric value setting the privacy threshold / minimum group size. Defaults to 5.
- return
String specifying what to return. This must be one of the following strings:
"plot""table"
See
Valuefor more information.- cut
A numeric vector of length three to specify the breaks for the distribution, e.g. c(10, 15, 20)
Value
A different output is returned depending on the value passed to the return argument:
"plot": 'ggplot' object. A stacked bar plot for the metric."table": data frame. A summary table for the metric.
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_fizz(),
meeting_line(),
meeting_quality(),
meeting_rank(),
meeting_summary(),
meeting_trend(),
meetingtype_dist_ca(),
meetingtype_dist_mt(),
meetingtype_dist(),
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_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_dist(),
meetingtype_summary()
Examples
# Return plot
meeting_dist(sq_data, hrvar = "Organization")
# Return summary table
meeting_dist(sq_data, hrvar = "Organization", return = "table")
#> # A tibble: 15 × 6
#> group `< 5 hours` `5 - 10 hours` 10 - 15 hou…¹ 15+ h…² Emplo…³
#> <fct> <dbl> <dbl> <dbl> <dbl> <int>
#> 1 Biz Dev 0.08 0.907 0.0133 NA 75
#> 2 Customer Service 0.0164 0.770 0.148 0.0656 61
#> 3 Facilities 0.0139 0.611 0.375 NA 72
#> 4 Finance-Corporate 0.0294 0.735 0.221 0.0147 68
#> 5 Finance-East 0.0571 0.329 0.414 0.2 70
#> 6 Finance-South 0.0988 0.531 0.321 0.0494 81
#> 7 Finance-West 0.0137 0.493 0.452 0.0411 73
#> 8 Financial Planning 0.0667 0.76 0.12 0.0533 75
#> 9 G&A Central 0.0351 0.596 0.316 0.0526 57
#> 10 G&A East 0.0154 0.862 0.123 NA 65
#> 11 G&A South NA 0.316 0.526 0.158 76
#> 12 Human Resources NA 0.225 0.535 0.239 71
#> 13 IT-Corporate 0.132 0.132 0.529 0.206 68
#> 14 IT-East 0.0645 0.323 0.516 0.0968 62
#> 15 Inventory Management NA 0.117 0.583 0.3 60
#> # … with abbreviated variable names ¹`10 - 15 hours`, ²`15+ hours`,
#> # ³Employee_Count
# Return result with a custom specified breaks
meeting_dist(sq_data, hrvar = "LevelDesignation", cut = c(4, 7, 9))
