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")

Arguments

data

A Standard Person Query dataset in the form of a data frame.

hrvar

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).

mingroup

Numeric value setting the privacy threshold / minimum group size. Defaults to 5.

return

String specifying what to return. This must be one of the following strings:

  • "plot"

  • "table"

See Value for more information.

Value

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.

See also

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()

Examples

# Return plot
one2one_fizz(sq_data, hrvar = "Organization", return = "plot")
#> Warning: Removed 23 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