Analyze Work Week Span distribution, and returns a 'fizzy' scatter plot by default. Additional options available to return a table with distribution elements.
workloads_fizz(data, hrvar = "Organization", mingroup = 5, return = "plot")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.
Value
A different output is returned depending on the value passed to the return argument:
"plot": 'ggplot' object. A jittered scatter 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_dist(),
one2one_fizz(),
one2one_freq(),
one2one_line(),
one2one_rank(),
one2one_sum(),
one2one_trend(),
period_change(),
workloads_dist(),
workloads_line(),
workloads_rank(),
workloads_summary(),
workloads_trend(),
workpatterns_area(),
workpatterns_rank()
Other Workweek Span:
workloads_dist(),
workloads_line(),
workloads_rank(),
workloads_summary(),
workloads_trend()
Examples
# Return plot
workloads_fizz(sq_data, hrvar = "Organization", return = "plot")
# Return summary table
workloads_fizz(sq_data, hrvar = "Organization", return = "table")
#> # A tibble: 15 × 8
#> group mean median sd min max range n
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <int>
#> 1 Biz Dev 37.2 37.5 2.32 31.6 42.8 11.1 75
#> 2 Customer Service 41.3 39.7 5.80 34.0 57.3 23.3 61
#> 3 Facilities 43.1 39.8 7.73 34.0 59.3 25.4 72
#> 4 Finance-Corporate 39.5 37.2 5.96 32.3 56.1 23.8 68
#> 5 Finance-East 46.3 49.3 8.65 32.7 61.6 28.8 70
#> 6 Finance-South 42.6 39.1 7.92 31.0 58.0 27.1 81
#> 7 Finance-West 44.4 41.3 7.81 33.9 63.0 29.1 73
#> 8 Financial Planning 39.9 38.0 5.80 33.2 55.5 22.3 75
#> 9 G&A Central 43.2 39.4 7.52 33.6 57.7 24.1 57
#> 10 G&A East 38.7 38.6 2.75 32.1 44.1 12.0 65
#> 11 G&A South 41.9 41.1 5.60 33.6 60.9 27.3 76
#> 12 Human Resources 44.0 42.3 5.78 32.7 57.3 24.6 71
#> 13 IT-Corporate 42.4 40.5 7.24 31.8 58.5 26.7 68
#> 14 IT-East 40.3 39.9 4.84 32.6 56.4 23.7 62
#> 15 Inventory Management 47.3 42.4 9.28 34.2 68.9 34.7 60