Provides an overview analysis of Weekly Digital Collaboration. Returns an stacked area plot of Email and Meeting Hours by default. Additional options available to return a summary table.
collaboration_area(data, hrvar = NULL, mingroup = 5, return = "plot")
collab_area(data, hrvar = NULL, mingroup = 5, return = "plot")Arguments
- data
A Standard Person Query dataset in the form of a data frame. A Ways of Working assessment dataset may also be provided, in which Unscheduled call hours would be included in the output.
- hrvar
HR Variable by which to split metrics, defaults to
NULL, but accepts any character vector, e.g. "LevelDesignation". IfNULLis passed, the organizational attribute is automatically populated as "Total".- 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 stacked area plot for the metric."table": data frame. A summary table for the metric.
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_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_fizz(),
workloads_line(),
workloads_rank(),
workloads_summary(),
workloads_trend(),
workpatterns_area(),
workpatterns_rank()
Other Collaboration:
collaboration_dist(),
collaboration_fizz(),
collaboration_line(),
collaboration_rank(),
collaboration_sum(),
collaboration_trend()
Examples
# Return plot with total (default)
collaboration_area(sq_data)
# Return plot with hrvar split
collaboration_area(sq_data, hrvar = "Organization")
# Return summary table
collaboration_area(sq_data, return = "table")
#> # A tibble: 13 × 7
#> Date group Meeting_hours Email_hours Instant_Message_…¹ Emplo…² Colla…³
#> <date> <chr> <dbl> <dbl> <dbl> <int> <dbl>
#> 1 2019-11-03 Total 11.0 11.3 0.696 1034 23.0
#> 2 2019-11-10 Total 11.0 11.0 0.675 1034 22.6
#> 3 2019-11-17 Total 10.2 10.1 0.610 1034 20.8
#> 4 2019-11-24 Total 9.74 9.84 0.598 1034 20.2
#> 5 2019-12-01 Total 6.71 6.11 0.371 1034 13.2
#> 6 2019-12-08 Total 9.59 9.37 0.581 1034 19.5
#> 7 2019-12-15 Total 10.2 10.1 0.609 1034 20.9
#> 8 2019-12-22 Total 10.4 10.1 0.608 1034 21.1
#> 9 2019-12-29 Total 9.97 9.45 0.579 1034 20.0
#> 10 2020-01-05 Total 8.96 8.50 0.523 1034 18.0
#> 11 2020-01-12 Total 11.3 11.3 0.690 1034 23.3
#> 12 2020-01-19 Total 11.2 11.6 0.706 1034 23.5
#> 13 2020-01-26 Total 10.0 9.99 0.610 1034 20.6
#> # … with abbreviated variable names ¹Instant_Message_hours, ²Employee_Count,
#> # ³Collaboration_hours