R/afterhours_fizz.R
afterhours_fizz.Rd
Analyze weekly after-hours collaboration hours distribution, and returns a 'fizzy' scatter plot by default. Additional options available to return a table with distribution elements.
afterhours_fizz(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.
String specifying what to return. This must be one of the following strings:
"plot"
"table"
See Value
for more information.
A different output is returned depending on the value passed to the return
argument:
"plot"
: 'ggplot' object. A jittered scatter plot for the metric.
"table"
: data frame. A summary table for the metric.
Uses the metric After_hours_collaboration_hours
.
See create_fizz()
for applying the same analysis to a different metric.
Other Visualization:
afterhours_dist()
,
afterhours_line()
,
afterhours_rank()
,
afterhours_summary()
,
afterhours_trend()
,
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_line()
,
afterhours_rank()
,
afterhours_summary()
,
afterhours_trend()
,
external_rank()
# Return plot
afterhours_fizz(sq_data, hrvar = "LevelDesignation", return = "plot")
# Return summary table
afterhours_fizz(sq_data, hrvar = "Organization", return = "table")
#> # A tibble: 15 × 8
#> group mean median sd min max range n
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <int>
#> 1 Biz Dev 2.00 2.01 0.382 1.20 3.04 1.85 75
#> 2 Customer Service 2.78 2.37 1.38 1.48 7.38 5.90 61
#> 3 Facilities 2.85 2.40 1.06 1.41 5.10 3.68 72
#> 4 Finance-Corporate 2.36 1.97 1.02 1.21 4.85 3.64 68
#> 5 Finance-East 3.72 4.20 1.63 1.09 6.33 5.24 70
#> 6 Finance-South 2.94 2.33 1.35 1.29 5.85 4.56 81
#> 7 Finance-West 3.31 2.93 1.43 1.46 6.75 5.29 73
#> 8 Financial Planning 2.53 2.11 1.26 1.44 6.33 4.90 75
#> 9 G&A Central 2.93 2.44 1.19 1.19 5.07 3.88 57
#> 10 G&A East 2.24 2.17 0.540 1.31 3.91 2.59 65
#> 11 G&A South 3.05 2.95 1.08 1.24 5.52 4.28 76
#> 12 Human Resources 3.39 3.27 1.05 1.43 5.72 4.29 71
#> 13 IT-Corporate 3.33 2.66 1.75 1.15 7.24 6.08 68
#> 14 IT-East 2.63 2.49 0.904 1.30 5.47 4.16 62
#> 15 Inventory Management 3.90 3.40 1.66 1.74 8.91 7.17 60