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Rank groups with high After-Hours Collaboration Hours

Source: R/afterhours_rank.R
afterhours_rank.Rd

This function scans a Standard Person Query for groups with high levels of After-Hours Collaboration. Returns a plot by default, with an option to return a table with all groups (across multiple HR attributes) ranked by hours of After-Hours Collaboration Hours.

Usage

afterhours_rank(
  data,
  hrvar = extract_hr(data),
  mingroup = 5,
  mode = "simple",
  plot_mode = 1,
  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, supply NULL (without quotes).

mingroup

Numeric value setting the privacy threshold / minimum group size. Defaults to 5.

mode

String to specify calculation mode. Must be either:

  • "simple"

  • "combine"

plot_mode

Numeric vector to determine which plot mode to return. Must be either 1 or 2, and is only used when return = "plot".

  • 1: Top and bottom five groups across the data population are highlighted

  • 2: Top and bottom groups per organizational attribute are highlighted

return

String specifying what to return. This must be one of the following strings:

  • "plot" (default)

  • "table"

See Value for more information.

Value

When 'table' is passed in return, a summary table is returned as a data frame.

Details

Uses the metric After_hours_collaboration_hours. See create_rank() for applying the same analysis to a different metric.

See also

Other Visualization: afterhours_dist(), afterhours_fizz(), afterhours_line(), 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_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 After-hours Collaboration: afterhours_dist(), afterhours_fizz(), afterhours_line(), afterhours_summary(), afterhours_trend(), external_rank()

Examples

# Return plot
afterhours_rank(pq_data, return = "plot")


# Return summary table
afterhours_rank(pq_data, return = "table")
#> # A tibble: 21 × 4
#>    hrvar               group               After_hours_collaboration_hours     n
#>    <chr>               <chr>                                         <dbl> <int>
#>  1 LevelDesignation    Director                                      42.4      6
#>  2 SupervisorIndicator Manager+                                      42.4      6
#>  3 FunctionType        Marketing                                     15.6     12
#>  4 Organization        Sales and Marketing                           13.7     31
#>  5 LevelDesignation    Manager                                       13.1     11
#>  6 SupervisorIndicator Manager                                       13.1     11
#>  7 LevelDesignation    Junior IC                                     11.6     10
#>  8 FunctionType        Sales                                         10.1     11
#>  9 FunctionType        Analytics                                     10.0     12
#> 10 FunctionType        Engineering                                    9.58    20
#> # ℹ 11 more rows