track_HR_change {vivainsights} | R Documentation |
Sankey chart of organizational movement between HR attributes and missing values (outside company move) (Data Overview)
Description
Creates a list of everyone at a specified start date and a specified end date then aggregates up people who have moved between organizations between this to points of time and visualizes the move through a sankey chart.
Through this chart you can see:
The HR attribute/orgs that have the highest move out
The HR attribute/orgs that have the highest move in
The number of people that do not have that HR attribute or if they are no longer in the system
Usage
track_HR_change(
data,
start_date = min(data$MetricDate),
end_date = max(data$MetricDate),
hrvar = "Organization",
mingroup = 5,
return = "plot",
NA_replacement = "Out of Company"
)
Arguments
data |
A Person Query dataset in the form of a data frame. |
start_date |
A start date to compare changes. See |
end_date |
An end date to compare changes. See |
hrvar |
HR Variable by which to compare changes between, defaults to
|
mingroup |
Numeric value setting the privacy threshold / minimum group size. Defaults to 5. |
return |
Character vector specifying what to return, defaults to
|
NA_replacement |
Character replacement for NA defaults to "out of company" |
Value
Returns a 'NetworkD3' object by default, where 'plot' is passed in return
.
When 'table' is passed, a summary table is returned as a data frame.
Author(s)
Tannaz Sattari Tabrizi Tannaz.Sattari@microsoft.com
See Also
Other Data Validation:
check_query()
,
extract_hr()
,
flag_ch_ratio()
,
flag_em_ratio()
,
flag_extreme()
,
flag_outlooktime()
,
hr_trend()
,
hrvar_count()
,
hrvar_count_all()
,
hrvar_trend()
,
identify_churn()
,
identify_holidayweeks()
,
identify_inactiveweeks()
,
identify_nkw()
,
identify_outlier()
,
identify_privacythreshold()
,
identify_shifts()
,
identify_tenure()
,
validation_report()
Examples
pq_data %>% track_HR_change()