flag_ch_ratio: Flag unusual high collaboration hours to after-hours...

In wpa: Tools for Analysing and Visualising Viva Insights Data

Flag unusual high collaboration hours to after-hours collaboration hours ratio

Description

This function flags persons who have an unusual ratio of collaboration hours to after-hours collaboration hours. Returns a character string by default.

Usage

flag_ch_ratio(data, threshold = c(1, 30), return = "message")

Arguments

data	A data frame containing a Person Query.
threshold	Numeric value specifying the threshold for flagging. Defaults to 30.
return	String to specify what to return. Options include: "message" "text" "data"

Value

A different output is returned depending on the value passed to the return argument:

• "message": message in the console containing diagnostic summary

• "text": string containing diagnotic summary

• "data": data frame. Person-level data with flags on unusually high or low ratios

Metrics used

The metric Collaboration_hours is used in the calculations. Please ensure that your query contains a metric with the exact same name.

See Also

Other Data Validation: check_query(), extract_hr(), flag_em_ratio(), flag_extreme(), flag_outlooktime(), hr_trend(), hrvar_count_all(), hrvar_count(), hrvar_trend(), identify_churn(), identify_holidayweeks(), identify_inactiveweeks(), identify_nkw(), identify_outlier(), identify_privacythreshold(), identify_query(), identify_shifts_wp(), identify_shifts(), identify_tenure(), remove_outliers(), standardise_pq(), subject_validate_report(), subject_validate(), track_HR_change(), validation_report()

Examples

flag_ch_ratio(sq_data)


data.frame(PersonId = c("Alice", "Bob"),
           Collaboration_hours = c(30, 0.5),
           After_hours_collaboration_hours = c(0.5, 30)) %>%
  flag_ch_ratio()

wpa documentation built on Aug. 21, 2023, 5:11 p.m.