This function scans a standard query output to identify employees with consistently low collaboration signals. Returns the % of non-knowledge workers identified by Organization, and optionally an edited data frame with non-knowledge workers removed, or the full data frame with the kw/nkw flag added.
identify_nkw(data, collab_threshold = 5, return = "data_summary")A different output is returned depending on the value passed to the return
argument:
"text": string. Returns a diagnostic message.
"data_with_flag": data frame. Original input data with an additional
column containing the kw/nkw flag.
"data_clean": data frame. Data frame with non-knowledge workers
excluded.
"data_summary": data frame. A summary table by organization listing
the number and % of non-knowledge workers.
A Standard Person Query dataset in the form of a data frame.
Positive numeric value representing the collaboration
hours threshold that should be exceeded as an average for the entire
analysis period for the employee to be categorized as a knowledge worker
("kw"). Default is set to 5 collaboration hours. Any versions after v1.4.3,
this uses a "greater than or equal to" logic (>=), in which case persons
with exactly 5 collaboration hours will pass.
String specifying what to return. This must be one of the following strings:
"text"
"data_with_flag"
"data_clean"
"data_summary"
See Value for more information.
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_outlier(),
identify_privacythreshold(),
identify_query(),
identify_shifts(),
identify_shifts_wp(),
identify_tenure(),
remove_outliers(),
standardise_pq(),
subject_validate(),
subject_validate_report(),
track_HR_change(),
validation_report()