Analyzes a selected metric and returns a box plot by default. Additional options available to return a table with distribution elements.

create_boxplot(
  data,
  metric,
  hrvar = "Organization",
  mingroup = 5,
  return = "plot"
)

Arguments

data

A Standard Person Query dataset in the form of a data frame.

metric

Character string containing the name of the metric, e.g. "Collaboration_hours"

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, supply NULL (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 Value for more information.

Value

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

  • "plot": 'ggplot' object. A box plot for the metric.

  • "table": data frame. A summary table for the metric.

Details

This is a general purpose function that powers all the functions in the package that produce box plots.

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_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_network_plot(), 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 Flexible: create_bar_asis(), create_bar(), create_bubble(), create_density(), create_dist(), create_fizz(), create_hist(), create_inc(), create_line_asis(), create_line(), create_period_scatter(), create_rank(), create_sankey(), create_scatter(), create_stacked(), create_tracking(), create_trend(), period_change()

Examples

# Create a fizzy plot for Work Week Span by Level Designation
create_boxplot(sq_data,
               metric = "Workweek_span",
               hrvar = "LevelDesignation",
               return = "plot")


# Create a summary statistics table for Work Week Span by Organization
create_boxplot(sq_data,
               metric = "Workweek_span",
               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

# Create a fizzy plot for Collaboration Hours by Level Designation
create_boxplot(sq_data,
               metric = "Collaboration_hours",
               hrvar = "LevelDesignation",
               return = "plot")