Return an analysis of Meeting Quality with a bubble plot, using a Standard Person Query as an input.
meeting_quality(
data,
hrvar = "Organization",
metric_x = "Low_quality_meeting_hours",
mingroup = 5,
return = "plot"
)
A different output is returned depending on the value passed to the
return
argument:
"plot"
: 'ggplot' object. A bubble plot for the metric.
"table"
: data frame. A summary table for the metric.
A Standard Person Query dataset in the form of a data frame.
HR Variable by which to split metrics, defaults to "Organization" but accepts any character vector, e.g. "LevelDesignation"
String specifying which variable to show in the x-axis when returning a plot. Must be one of the following:
"Low_quality_meeting_hours"
(default)
"After_hours_meeting_hours"
"Conflicting_meeting_hours"
"Multitasking_meeting_hours"
Any meeting hour variable that can be divided by Meeting_hours
If the provided metric name is not found in the data, the function will use the first matched metric from the above list.
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"
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_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_fizz()
,
meeting_line()
,
meeting_rank()
,
meeting_skim()
,
meeting_summary()
,
meeting_tm_report()
,
meeting_trend()
,
meetingtype_dist_ca()
,
meetingtype_dist_mt()
,
meetingtype_dist()
,
meetingtype_summary()
# Return plot
meeting_quality(sq_data, return = "plot")
# Return plot - showing multi-tasking %
# \donttest{
meeting_quality(sq_data,
metric_x = "Multitasking_meeting_hours",
return = "plot")
# }
# Return summary table
# \donttest{
meeting_quality(sq_data, return = "table")
# }
Run the code above in your browser using DataLab