This function uses a combination of variable class, number of unique values, and regular expression matching to extract HR / organisational attributes from a data frame.
Arguments
- data
A data frame to be passed through.
- max_unique
A numeric value representing the maximum number of unique values to accept for an HR attribute. Defaults to 50.
- exclude_constants
Logical value to specify whether single-value HR attributes are to be excluded. Defaults to
TRUE.- return
String specifying what to return. This must be one of the following strings:
"names""vars"
See
Valuefor more information.
Value
A different output is returned depending on the value passed to the return
argument:
"names": character vector identifying all the names of HR variables present in the data."vars": data frame containing all the columns of HR variables present in the data.
See also
Other Support:
any_idate(),
camel_clean(),
check_inputs(),
cut_hour(),
extract_date_range(),
heat_colours(),
is_date_format(),
maxmin(),
pairwise_count(),
read_preamble(),
rgb2hex(),
totals_bind(),
totals_col(),
tstamp(),
us_to_space(),
wrap()
Other Data Validation:
check_query(),
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
pq_data %>% extract_hr(return = "names")
#> [1] "LevelDesignation" "SupervisorIndicator" "Organization"
#> [4] "FunctionType" "WeekendDays"
pq_data %>% extract_hr(return = "vars")
#> # A tibble: 1,000 × 5
#> LevelDesignation SupervisorIndicator Organization FunctionType WeekendDays
#> <chr> <chr> <chr> <chr> <chr>
#> 1 Manager Manager Sales and M… G_and_A [SUNDAY, S…
#> 2 Support Individual Contributor Finance Sales [SUNDAY, S…
#> 3 Support Individual Contributor Product IT [SUNDAY, S…
#> 4 Director Manager+ Sales and M… Analytics [SUNDAY, S…
#> 5 Support Individual Contributor Sales and M… IT [SUNDAY, S…
#> 6 Support Individual Contributor HR Engineering [SUNDAY, S…
#> 7 Support Individual Contributor Finance Engineering [SUNDAY, S…
#> 8 Support Individual Contributor HR Analytics [SUNDAY, S…
#> 9 Senior IC Individual Contributor Product Analytics [SUNDAY, S…
#> 10 Support Individual Contributor Finance Sales [SUNDAY, S…
#> # ℹ 990 more rows