Analyze weekly meeting hours distribution, and returns a 'fizzy' scatter plot by default. Additional options available to return a table with distribution elements.
meeting_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, supplyNULL(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
Valuefor 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.
Details
Uses the metric Meeting_hours.
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_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 Meetings:
meeting_dist(),
meeting_extract(),
meeting_line(),
meeting_quality(),
meeting_rank(),
meeting_skim(),
meeting_summary(),
meeting_tm_report(),
meeting_trend(),
meetingtype_dist_ca(),
meetingtype_dist_mt(),
meetingtype_dist(),
meetingtype_summary()
Examples
# Return plot
meeting_fizz(sq_data, hrvar = "Organization", return = "plot")
# Return summary table
meeting_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 7.02 6.96 1.49 2.98 10.5 7.51 75
#> 2 Customer Service 8.78 7.66 3.50 5 20.4 15.4 61
#> 3 Facilities 9.39 9.16 2.30 4.41 13.9 9.49 72
#> 4 Finance-Corporate 8.16 7.43 2.50 3.83 15.7 11.9 68
#> 5 Finance-East 11.4 12.3 3.98 4.61 18.2 13.6 70
#> 6 Finance-South 9.27 8.03 3.68 3.23 16.9 13.7 81
#> 7 Finance-West 10.4 9.98 3.23 4.35 19.5 15.2 73
#> 8 Financial Planning 8.36 7.99 2.92 3.25 17.6 14.3 75
#> 9 G&A Central 9.28 8.02 3.07 4.48 16.2 11.7 57
#> 10 G&A East 7.84 7.5 1.64 4.67 12.0 7.33 65
#> 11 G&A South 11.6 12.0 3.96 5.31 20.9 15.6 76
#> 12 Human Resources 12.6 12.6 3.87 5.10 20.0 14.9 71
#> 13 IT-Corporate 12.3 12.5 5.24 3.65 24.9 21.2 68
#> 14 IT-East 10.8 11.4 3.72 4.21 19.9 15.7 62
#> 15 Inventory Management 13.7 12.9 3.46 6.26 22.0 15.7 60