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Distribution of External Collaboration Hours as a 100% stacked bar

Source: R/external_dist.R
external_dist.Rd

Analyze the distribution of External Collaboration Hours. Returns a stacked bar plot by default. Additional options available to return a table with distribution elements.

Usage

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, 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.

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(), create_bar_asis(), create_boxplot(), create_bubble(), create_dist(), create_fizz(), create_inc(), create_line(), create_line_asis(), create_period_scatter(), create_rank(), create_rogers(), 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_rank(), external_sum(), hr_trend(), hrvar_count(), hrvar_trend(), keymetrics_scan(), meeting_dist(), meeting_fizz(), meeting_line(), meeting_rank(), meeting_summary(), meeting_trend(), one2one_dist(), one2one_fizz(), one2one_freq(), one2one_line(), one2one_rank(), one2one_sum(), one2one_trend()

Other External Collaboration: external_fizz(), external_line(), external_sum()

Examples

# Return plot
external_dist(pq_data, hrvar = "Organization")


# Return summary table
external_dist(pq_data, hrvar = "Organization", return = "table")
#> # A tibble: 7 × 4
#>   group      `5 - 10 hours` `10 - 15 hours` Employee_Count
#>   <fct>               <dbl>           <dbl>          <int>
#> 1 Finance             0.868          0.132              68
#> 2 HR                  1             NA                  33
#> 3 IT                  0.912          0.0882             68
#> 4 Legal               0.977          0.0227             44
#> 5 Operations          0.727          0.273              22
#> 6 Research            0.808          0.192              52
#> 7 Sales               0.923          0.0769             13

# Return result with a custom specified breaks
external_dist(pq_data, hrvar = "LevelDesignation", cut = c(2, 4, 6))