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Check a query to ensure that it is suitable for analysis

Source: R/check_query.R
check_query.Rd

Prints diagnostic data about the data query to the R console, with information such as date range, number of employees, HR attributes identified, etc.

Usage

check_query(data, return = "message", validation = FALSE)

Arguments

data

A person-level query in the form of a data frame. This includes:

  • Standard Person Query

  • Ways of Working Assessment Query

  • Hourly Collaboration Query

All person-level query have a PersonId column and a MetricDate column.

return

String specifying what to return. This must be one of the following strings:

  • "message" (default)

  • "text"

See Value for more information.

validation

Logical value to specify whether to show summarized version. Defaults to FALSE. To hide checks on variable names, set validation to TRUE.

Value

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

  • "message": a message is returned to the console.

  • "text": string containing the diagnostic message.

Details

This can be used with any person-level query, such as the standard person query, Ways of Working assessment query, and the hourly collaboration query. When run, this prints diagnostic data to the R console.

See also

Other Data Validation: 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(), track_HR_change(), validation_report()

Examples

check_query(pq_data)
#> 
#> 
#> 
#> There are 300 employees in this dataset.
#> 
#> Date ranges from 2024-04-28 to 2024-09-29.
#> 
#> There are 5 (estimated) HR attributes in the data:
#> `FunctionType`, `SupervisorIndicator`, `Level`, `Organization`, `LevelDesignation`
#> The `IsActive` flag is not present in the data.