standardise_pq: Standardise variable names to a Standard Person Query

In wpa: Tools for Analysing and Visualising Viva Insights Data

Standardise variable names to a Standard Person Query

Description

This function standardises the variable names to a Standard Person Query, where the standard use case is to pass a Ways of Working Assessment Query to the function.

Usage

standardise_pq(data)

standardize_pq(data)

Arguments

data	A Ways of Working Assessment query to pass through as a data frame.

Details

The following standardisation steps are taken:

• Collaboration_hrs -> Collaboration_hours

• Instant_message_hours -> Instant_Message_hours

Value

data frame containing the formatted query passed to the function.

See Also

Other Data Validation: check_query(), extract_hr(), flag_ch_ratio(), 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(), subject_validate_report(), subject_validate(), track_HR_change(), validation_report()

Other Import and Export: copy_df(), create_dt(), export(), import_to_fst(), import_wpa()

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