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.
Usage
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(),
create_bar_asis(),
create_boxplot(),
create_bubble(),
create_dist(),
create_fizz(),
create_inc(),
create_line(),
create_line_asis(),
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 Collaboration:
collaboration_dist(),
collaboration_fizz(),
collaboration_line(),
collaboration_rank(),
collaboration_sum(),
collaboration_trend()
Examples
# Return plot with total (default)
collaboration_area(pq_data)
# Return plot with hrvar split
collaboration_area(pq_data, hrvar = "Organization")
# Return summary table
collaboration_area(pq_data, return = "table")
#> # A tibble: 10 × 7
#> Date group Email_hours Meeting_hours Unscheduled_Call_hours
#> <date> <chr> <dbl> <dbl> <dbl>
#> 1 2022-05-01 Total 1.33 18.6 0
#> 2 2022-05-08 Total 1.28 17.2 0
#> 3 2022-05-15 Total 1.30 19.1 0
#> 4 2022-05-22 Total 1.27 16.8 0
#> 5 2022-05-29 Total 1.13 17.3 0
#> 6 2022-06-05 Total 1.34 17.9 0
#> 7 2022-06-12 Total 1.30 20.4 0
#> 8 2022-06-19 Total 1.21 17.2 0
#> 9 2022-06-26 Total 1.19 17.3 0
#> 10 2022-07-03 Total 0.761 17.9 0
#> # ℹ 2 more variables: Employee_Count <int>, Collaboration_hours <dbl>