R/external_fizz.R
external_fizz.Rd
Analyze weekly External Collaboration hours distribution, and returns a 'fizzy' scatter plot by default. Additional options available to return a table with distribution elements.
external_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 Collaboration_hours_external
.
See create_fizz()
for applying the same analysis to a different metric.
Other Visualization:
afterhours_dist()
,
afterhours_fizz()
,
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_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 External Collaboration:
external_dist()
,
external_line()
,
external_sum()
# Return plot
external_fizz(sq_data, hrvar = "LevelDesignation", return = "plot")
# Return summary table
external_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 2.16 2.04 0.561 1.01 3.82 2.81 75
#> 2 Customer Service 3.51 1.96 3.81 0.971 15.4 14.4 61
#> 3 Facilities 3.42 2.53 1.86 1.05 6.93 5.88 72
#> 4 Finance-Corporate 2.71 1.95 1.72 0.860 7.99 7.13 68
#> 5 Finance-East 5.88 5.83 3.90 0.807 14.4 13.6 70
#> 6 Finance-South 3.67 2.33 2.24 1.13 7.78 6.65 81
#> 7 Finance-West 4.87 3.21 3.32 1.23 12.9 11.7 73
#> 8 Financial Planning 3.65 2.46 3.31 1.25 13.1 11.9 75
#> 9 G&A Central 3.57 2.70 2.07 0.881 7.48 6.60 57
#> 10 G&A East 2.18 2.11 0.551 0.827 3.42 2.60 65
#> 11 G&A South 3.86 3.67 2.06 1.02 8.84 7.82 76
#> 12 Human Resources 4.26 3.94 1.94 1.24 8.44 7.21 71
#> 13 IT-Corporate 5.41 3.76 4.43 0.993 15.6 14.6 68
#> 14 IT-East 3.30 3.41 1.54 0.923 8.59 7.67 62
#> 15 Inventory Management 6.49 4.66 3.78 1.39 15.9 14.5 60