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.
extract_hr(data, max_unique = 50, exclude_constants = TRUE, return = "names")
A data frame to be passed through.
A numeric value representing the maximum number of unique values to accept for an HR attribute. Defaults to 50.
Logical value to specify whether single-value HR
attributes are to be excluded. Defaults to TRUE
.
String specifying what to return. This must be one of the following strings:
"names"
"vars"
See Value
for more information.
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.
Other Support:
camel_clean()
,
check_inputs()
,
combine_signals()
,
cut_hour()
,
extract_date_range()
,
heat_colours()
,
is_date_format()
,
maxmin()
,
p_test()
,
pairwise_count()
,
plot_WOE()
,
read_preamble()
,
rgb2hex()
,
totals_bind()
,
totals_col()
,
totals_reorder()
,
tstamp()
,
us_to_space()
,
wrap()
Other Data Validation:
check_query()
,
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()
,
standardise_pq()
,
subject_validate_report()
,
subject_validate()
,
track_HR_change()
,
validation_report()
sq_data %>% extract_hr(return = "names")
#> [1] "FunctionType" "LevelDesignation" "Organization" "IsActive"
sq_data %>% extract_hr(return = "vars")
#> # A tibble: 13,442 × 4
#> FunctionType LevelDesignation Organization IsActive
#> <chr> <chr> <chr> <lgl>
#> 1 G_and_A Junior IC Customer Service TRUE
#> 2 G_and_A Junior IC Customer Service TRUE
#> 3 G_and_A Junior IC Customer Service TRUE
#> 4 G_and_A Junior IC Customer Service TRUE
#> 5 G_and_A Junior IC Customer Service TRUE
#> 6 G_and_A Junior IC Customer Service TRUE
#> 7 G_and_A Junior IC Customer Service TRUE
#> 8 G_and_A Junior IC Customer Service TRUE
#> 9 G_and_A Junior IC Customer Service TRUE
#> 10 G_and_A Junior IC Customer Service TRUE
#> # … with 13,432 more rows