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Employee count over time

Source: R/hr_trend.R
hr_trend.Rd

Returns a line chart showing the change in employee count over time. Part of a data validation process to check for unusual license growth / declines over time.

Usage

hr_trend(data, return = "plot")

Arguments

data

A Standard Person Query dataset in the form of a data frame.

return

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

  • "plot"

  • "table"

See Value for more information.

Value

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

argument:

  • "plot": ggplot object. A line plot showing employee count over time.

  • "table": data frame containing a summary table.

See also

Other Visualization: afterhours_dist(), afterhours_fizz(), afterhours_line(), afterhours_rank(), afterhours_summary(), afterhours_trend(), collaboration_area(), collaboration_dist(), collaboration_fizz(), collaboration_line(), collaboration_rank(), collaboration_sum(), collaboration_trend(), create_bar_asis(), create_bar(), create_boxplot(), create_bubble(), create_dist(), create_fizz(), create_inc(), create_line_asis(), create_line(), create_period_scatter(), create_rank(), create_sankey(), create_scatter(), create_stacked(), create_tracking(), create_trend(), email_dist(), email_fizz(), email_line(), email_rank(), email_summary(), email_trend(), external_dist(), external_fizz(), external_line(), external_rank(), external_sum(), hrvar_count(), hrvar_trend(), keymetrics_scan(), meeting_dist(), meeting_fizz(), meeting_line(), meeting_rank(), meeting_summary(), meeting_trend(), one2one_dist(), one2one_fizz(), one2one_freq(), one2one_line(), one2one_rank(), one2one_sum(), one2one_trend()

Other Data Validation: check_query(), extract_hr(), flag_ch_ratio(), flag_em_ratio(), flag_extreme(), flag_outlooktime(), hrvar_count_all(), hrvar_count(), hrvar_trend(), identify_churn(), identify_holidayweeks(), identify_inactiveweeks(), identify_nkw(), identify_outlier(), identify_privacythreshold(), identify_shifts(), identify_tenure(), track_HR_change(), validation_report()

Examples

# Return plot
hr_trend(pq_data)


# Return summary table
hr_trend(pq_data, return = "table")
#> # A tibble: 10 × 2
#>    Date           n
#>    <date>     <int>
#>  1 2022-05-01   100
#>  2 2022-05-08   100
#>  3 2022-05-15   100
#>  4 2022-05-22   100
#>  5 2022-05-29   100
#>  6 2022-06-05   100
#>  7 2022-06-12   100
#>  8 2022-06-19   100
#>  9 2022-06-26   100
#> 10 2022-07-03   100