email_line {vivainsights} | R Documentation |
Email Time Trend - Line Chart
Description
Provides a week by week view of email time, visualised as line charts. By default returns a line chart for email hours, with a separate panel per value in the HR attribute. Additional options available to return a summary table.
Usage
email_line(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 |
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:
See |
Value
A different output is returned depending on the value passed to the return
argument:
-
"plot"
: 'ggplot' object. A faceted line 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()
,
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_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()
,
one2one_trend()
Other Emails:
email_dist()
,
email_fizz()
,
email_rank()
,
email_summary()
,
email_trend()
Examples
# Return a line plot
email_line(pq_data, hrvar = "LevelDesignation")
# Return summary table
email_line(pq_data, hrvar = "LevelDesignation", return = "table")