Analyze weekly Manager 1:1 Time distribution, and returns a 'fizzy' scatter plot by default. Additional options available to return a table with distribution elements.
one2one_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.
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_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_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 Managerial Relations:
mgrcoatt_dist()
,
mgrrel_matrix()
,
one2one_dist()
,
one2one_freq()
,
one2one_line()
,
one2one_rank()
,
one2one_sum()
,
one2one_trend()
# Return plot
one2one_fizz(sq_data, hrvar = "Organization", return = "plot")
#> Warning: Removed 33 rows containing missing values (geom_point).
# Return a summary table
one2one_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 14.2 12.7 10.8 0 48.5 48.5 75
#> 2 Customer Service 21.2 19.6 15.8 0 60 60 61
#> 3 Facilities 15.3 13.3 12.6 0 54.2 54.2 72
#> 4 Finance-Corporate 14.5 11.5 11.3 0 64.6 64.6 68
#> 5 Finance-East 18.9 17.3 11.7 2.31 46.2 43.8 70
#> 6 Finance-South 14.8 12.7 10.5 0 43.8 43.8 81
#> 7 Finance-West 14.0 12.7 11.6 0 70.2 70.2 73
#> 8 Financial Planning 13.4 10.4 11.4 0 43.8 43.8 75
#> 9 G&A Central 20.5 18.5 14.7 0 66.9 66.9 57
#> 10 G&A East 17.4 17.3 13.4 0 45 45 65
#> 11 G&A South 15.5 13.3 12.7 0 53.1 53.1 76
#> 12 Human Resources 18.1 16.2 14.8 0 65.5 65.5 71
#> 13 IT-Corporate 17.3 13.8 14.0 0 53.1 53.1 68
#> 14 IT-East 10.4 5.77 10.8 0 56.5 56.5 62
#> 15 Inventory Management 16.6 13.3 12.1 0 70.4 70.4 60