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(),
create_bar_asis(),
create_boxplot(),
create_bubble(),
create_dist(),
create_fizz(),
create_inc(),
create_line(),
create_line_asis(),
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(),
meetingtype_dist_ca(),
meetingtype_dist_mt(),
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 40 rows containing missing values or values outside the scale range
#> (`geom_point()`).
 # Return a summary table
one2one_fizz(sq_data, hrvar = "Organization", return = "table")
#> # A tibble: 5 × 8
#>   group               mean median    sd   min   max range     n
#>   <chr>              <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl> <int>
#> 1 Customer Service    19.6  12.9   19.3     0  68.6  68.6    61
#> 2 Finance             15.6  10.7   13.9     0  75    75     292
#> 3 Financial Planning  15.2  10.7   16.4     0  79.3  79.3    75
#> 4 Human Resources     16.6  12.9   17.2     0 102.  102.     71
#> 5 IT                  14.6   8.57  17.2     0  81.4  81.4   130
# Return a summary table
one2one_fizz(sq_data, hrvar = "Organization", return = "table")
#> # A tibble: 5 × 8
#>   group               mean median    sd   min   max range     n
#>   <chr>              <dbl>  <dbl> <dbl> <dbl> <dbl> <dbl> <int>
#> 1 Customer Service    19.6  12.9   19.3     0  68.6  68.6    61
#> 2 Finance             15.6  10.7   13.9     0  75    75     292
#> 3 Financial Planning  15.2  10.7   16.4     0  79.3  79.3    75
#> 4 Human Resources     16.6  12.9   17.2     0 102.  102.     71
#> 5 IT                  14.6   8.57  17.2     0  81.4  81.4   130