
Distribution of External Collaboration Hours (Fizzy Drink plot)
Source:R/external_fizz.R
external_fizz.Rd
Analyze weekly External Collaboration hours distribution, and returns a 'fizzy' scatter plot by default. Additional options available to return a table with distribution elements.
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
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.
Details
Uses the metric Collaboration_hours_external
.
See create_fizz()
for applying the same analysis to a different 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()
,
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_line()
,
external_rank()
,
external_sum()
,
hr_trend()
,
hrvar_count()
,
hrvar_trend()
,
keymetrics_scan()
,
meeting_dist()
,
meeting_fizz()
,
meeting_line()
,
meeting_rank()
,
meeting_summary()
,
meeting_trend()
,
one2one_dist()
,
one2one_fizz()
,
one2one_freq()
,
one2one_line()
,
one2one_rank()
,
one2one_sum()
,
one2one_trend()
Other External Collaboration:
external_dist()
,
external_line()
,
external_sum()
Examples
# Return plot
external_fizz(pq_data, hrvar = "LevelDesignation", return = "plot")
# Return summary table
external_fizz(pq_data, hrvar = "Organization", return = "table")
#> # A tibble: 7 × 8
#> group mean median sd min max range n
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <int>
#> 1 Finance 8.97 8.96 0.807 7.60 10.6 3.04 68
#> 2 HR 8.91 8.86 0.602 7.89 10.0 2.11 33
#> 3 IT 8.82 8.80 0.941 6.95 11.7 4.80 68
#> 4 Legal 8.63 8.60 0.798 7.16 10.1 2.94 44
#> 5 Operations 9.27 9.04 0.952 7.32 10.9 3.54 22
#> 6 Research 9.11 9.18 0.861 7.06 10.6 3.50 52
#> 7 Sales 9.01 9.15 0.673 7.94 10.1 2.15 13