Analyze Manager 1:1 Time distribution. Returns a stacked bar plot of different buckets of 1:1 time. Additional options available to return a table with distribution elements.
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.
- dist_colours
A character vector of length four to specify colour codes for the stacked bars.
- 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_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_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 Managerial Relations:
mgrcoatt_dist(),
mgrrel_matrix(),
one2one_fizz(),
one2one_freq(),
one2one_line(),
one2one_rank(),
one2one_sum(),
one2one_trend()
Examples
# Return plot
one2one_dist(sq_data, hrvar = "Organization", return = "plot")
# Return summary table
one2one_dist(sq_data, hrvar = "Organization", return = "table")
#> # A tibble: 15 × 6
#> group `< 5 minutes` `5 - 15 minutes` 15 - 30…¹ 30+ m…² Emplo…³
#> <fct> <dbl> <dbl> <dbl> <dbl> <int>
#> 1 Biz Dev 0.267 0.307 0.373 0.0533 75
#> 2 Customer Service 0.148 0.279 0.295 0.279 61
#> 3 Facilities 0.25 0.292 0.333 0.125 72
#> 4 Finance-Corporate 0.147 0.515 0.25 0.0882 68
#> 5 Finance-East 0.1 0.314 0.329 0.257 70
#> 6 Finance-South 0.160 0.407 0.309 0.123 81
#> 7 Finance-West 0.247 0.356 0.329 0.0685 73
#> 8 Financial Planning 0.267 0.387 0.24 0.107 75
#> 9 G&A Central 0.158 0.246 0.386 0.211 57
#> 10 G&A East 0.277 0.2 0.262 0.262 65
#> 11 G&A South 0.197 0.447 0.25 0.105 76
#> 12 Human Resources 0.239 0.254 0.324 0.183 71
#> 13 IT-Corporate 0.265 0.265 0.294 0.176 68
#> 14 IT-East 0.435 0.290 0.242 0.0323 62
#> 15 Inventory Management 0.1 0.433 0.333 0.133 60
#> # … with abbreviated variable names ¹`15 - 30 minutes`, ²`30+ minutes`,
#> # ³Employee_Count