Provides an overview analysis of 'Weekly Digital Collaboration'. Returns a stacked bar plot of Email and Meeting Hours by default. Additional options available to return a summary table.
Usage
collaboration_sum(data, hrvar = "Organization", mingroup = 5, return = "plot")
collab_sum(data, hrvar = "Organization", mingroup = 5, return = "plot")
collaboration_summary(
  data,
  hrvar = "Organization",
  mingroup = 5,
  return = "plot"
)
collab_summary(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
 Character vector specifying what to return, defaults to "plot". Valid inputs are "plot" and "table".
Value
Returns a 'ggplot' object by default, where 'plot' is passed in return.
When 'table' is passed, a summary table is returned as a data frame.
Details
Uses the metrics Meeting_hours, Email_hours, Unscheduled_Call_hours,
and Instant_Message_hours.
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_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_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 Collaboration:
collaboration_area(),
collaboration_dist(),
collaboration_fizz(),
collaboration_line(),
collaboration_rank(),
collaboration_trend()
Examples
# Return a ggplot bar chart
collaboration_sum(pq_data, hrvar = "LevelDesignation")
# Return a summary table
collaboration_sum(pq_data, hrvar = "LevelDesignation", return = "table")
#> # A tibble: 4 × 5
#>   group          Meeting_hours Email_hours Total Employee_Count
#>   <chr>                  <dbl>       <dbl> <dbl>          <int>
#> 1 Executive               18.4        8.83  27.3             37
#> 2 Junior IC               18.2        8.72  27.0            136
#> 3 Senior IC               19.4        8.82  28.2             87
#> 4 Senior Manager          19.2        8.70  27.9             40
