Provides a week by week view of a selected Viva Insights metric. By default returns a week by week heatmap bar plot, highlighting the points in time with most activity. Additional options available to return a summary table.
Usage
create_trend(
data,
metric,
hrvar = "Organization",
mingroup = 5,
palette = c("steelblue4", "aliceblue", "white", "mistyrose1", "tomato1"),
return = "plot",
legend_title = "Hours"
)
Arguments
- data
A Standard Person Query dataset in the form of a data frame.
- metric
Character string containing the name of the metric, e.g. "Collaboration_hours"
- 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.
- palette
Character vector containing colour codes, ranked from the lowest value to the highest value. This is passed directly to
ggplot2::scale_fill_gradientn()
.- return
Character vector specifying what to return, defaults to
"plot"
. Valid inputs are "plot" and "table".- legend_title
String to be used as the title of the legend. Defaults to
"Hours"
.
Value
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.
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()
,
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()
,
one2one_trend()
Other Flexible:
create_bar()
,
create_bar_asis()
,
create_boxplot()
,
create_bubble()
,
create_density()
,
create_dist()
,
create_fizz()
,
create_hist()
,
create_inc()
,
create_line()
,
create_line_asis()
,
create_period_scatter()
,
create_rank()
,
create_sankey()
,
create_scatter()
,
create_stacked()
,
create_tracking()
Other Time-series:
create_line()
,
create_line_asis()
,
create_period_scatter()
Examples
create_trend(pq_data, metric = "Collaboration_hours", hrvar = "LevelDesignation")
# custom colours
create_trend(
pq_data,
metric = "Collaboration_hours",
hrvar = "LevelDesignation",
palette = c(
"#FB6107",
"#F3DE2C",
"#7CB518",
"#5C8001"
)
)