Distribution of External Collaboration Hours as a 100% stacked bar
Source:R/external_dist.R
external_dist.RdAnalyze the distribution of External Collaboration Hours. Returns a stacked bar plot by default. Additional options available to return a table with distribution elements.
external_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.
Details
Uses the metric External_collaboration_hours.
See create_dist() for applying the same analysis to a different 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_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_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 External Collaboration:
external_fizz(),
external_line(),
external_sum()
Examples
# Return plot
external_dist(sq_data, hrvar = "Organization")
# Return summary table
external_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 1 NA NA NA 75
#> 2 Customer Service 0.836 0.0492 0.0984 0.0164 61
#> 3 Facilities 0.694 0.306 NA NA 72
#> 4 Finance-Corporate 0.794 0.206 NA NA 68
#> 5 Finance-East 0.371 0.414 0.214 NA 70
#> 6 Finance-South 0.630 0.370 NA NA 81
#> 7 Finance-West 0.562 0.315 0.123 NA 73
#> 8 Financial Planning 0.853 0.0133 0.133 NA 75
#> 9 G&A Central 0.684 0.316 NA NA 57
#> 10 G&A East 1 NA NA NA 65
#> 11 G&A South 0.789 0.211 NA NA 76
#> 12 Human Resources 0.732 0.268 NA NA 71
#> 13 IT-Corporate 0.735 0.0294 0.176 0.0588 68
#> 14 IT-East 0.887 0.113 NA NA 62
#> 15 Inventory Management 0.55 0.183 0.25 0.0167 60
#> # … with abbreviated variable names ¹`10 - 15 hours`, ²`15+ hours`,
#> # ³Employee_Count
# Return result with a custom specified breaks
external_dist(sq_data, hrvar = "LevelDesignation", cut = c(4, 7, 9))
