Provides a week by week view of scheduled manager 1:1 Time. By default returns a week by week heatmap, highlighting the points in time with most activity. Additional options available to return a summary table.
one2one_trend(data, hrvar = "Organization", mingroup = 5, return = "plot")Returns a 'ggplot' object by default, where 'plot' is passed in return.
When 'table' is passed, a summary table is returned as a data frame.
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.
Character vector specifying what to return, defaults to
"plot".
Valid inputs are "plot" and "table".
Uses the metric Meeting_and_call_hours_with_manager_1_1.
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_rogers(),
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_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()
Other Managerial Relations:
one2one_dist(),
one2one_fizz(),
one2one_freq(),
one2one_line(),
one2one_rank(),
one2one_sum()
# Run plot
one2one_trend(pq_data)
# Run table
one2one_trend(pq_data, hrvar = "LevelDesignation", return = "table")
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