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". If NULL is 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 Value for 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_ho… Employee_Count
#>    <date>     <chr>         <dbl>       <dbl>               <dbl>          <int>
#>  1 2019-11-03 Total         11.0        11.3                0.696           1034
#>  2 2019-11-10 Total         11.0        11.0                0.675           1034
#>  3 2019-11-17 Total         10.2        10.1                0.610           1034
#>  4 2019-11-24 Total          9.74        9.84               0.598           1034
#>  5 2019-12-01 Total          6.71        6.11               0.371           1034
#>  6 2019-12-08 Total          9.59        9.37               0.581           1034
#>  7 2019-12-15 Total         10.2        10.1                0.609           1034
#>  8 2019-12-22 Total         10.4        10.1                0.608           1034
#>  9 2019-12-29 Total          9.97        9.45               0.579           1034
#> 10 2020-01-05 Total          8.96        8.50               0.523           1034
#> 11 2020-01-12 Total         11.3        11.3                0.690           1034
#> 12 2020-01-19 Total         11.2        11.6                0.706           1034
#> 13 2020-01-26 Total         10.0         9.99               0.610           1034
#> # … with 1 more variable: Collaboration_hours <dbl>