Provides a week by week view of after-hours collaboration time. By default returns a week by week heatmap, highlighting the points in time with most activity. Additional options available to return a summary table.
afterhours_trend(data, hrvar = "Organization", mingroup = 5, return = "plot")
A Standard Person Query dataset in the form of a data frame.
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).
Numeric value setting the privacy threshold / minimum group size. Defaults to 5.
Character vector specifying what to return, defaults to
"plot"
.
Valid inputs are "plot" and "table".
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.
Uses the metric After_hours_collaboration_hours
.
Other Visualization:
afterhours_dist()
,
afterhours_fizz()
,
afterhours_line()
,
afterhours_rank()
,
afterhours_summary()
,
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_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 After-hours Collaboration:
afterhours_dist()
,
afterhours_fizz()
,
afterhours_line()
,
afterhours_rank()
,
afterhours_summary()
,
external_rank()
# Run plot
afterhours_trend(sq_data)
# Run table
afterhours_trend(sq_data, hrvar = "LevelDesignation", return = "table")
#> # A tibble: 6 × 14
#> group 2019-…¹ 2019-…² 2019-…³ 2019-…⁴ 2019-…⁵ 2019-…⁶ 2019-…⁷ 2019-…⁸ 2019-…⁹
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Direc… 3.47 3.49 2.86 3.20 2.01 3.04 3.25 3.07 2.91
#> 2 Execu… 2.32 3.34 2.84 2.67 1.63 3.54 3.02 2.70 3.34
#> 3 Junio… 3.38 3.21 2.96 2.88 1.85 2.98 2.78 2.98 2.88
#> 4 Manag… 3.79 3.44 3.15 3.05 2.04 2.95 3.31 3.26 3.10
#> 5 Senio… 3.45 3.37 2.83 2.58 2.05 2.70 3.20 3.08 2.87
#> 6 Suppo… 3.14 2.93 2.76 2.53 1.69 2.66 2.78 2.82 2.68
#> # … with 4 more variables: `2020-01-05` <dbl>, `2020-01-12` <dbl>,
#> # `2020-01-19` <dbl>, `2020-01-26` <dbl>, and abbreviated variable names
#> # ¹`2019-11-03`, ²`2019-11-10`, ³`2019-11-17`, ⁴`2019-11-24`, ⁵`2019-12-01`,
#> # ⁶`2019-12-08`, ⁷`2019-12-15`, ⁸`2019-12-22`, ⁹`2019-12-29`