зеркало из https://github.com/microsoft/wpa.git
59 строки
1.6 KiB
R
59 строки
1.6 KiB
R
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#' @title Employee count over time
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#'
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#' @description Returns a line chart showing the change in
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#' employee count over time. Part of a data validation process to check
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#' for unusual license growth / declines over time.
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#'
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#' @param data A Standard Query dataset in the form of a data frame.
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#' @param return Character vector specifying what to return, defaults to "plot".
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#' Valid inputs are "plot" and "table".
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#'
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#' @import dplyr
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#' @import ggplot2
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#'
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#' @examples
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#' \dontrun{
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#' hr_trend(sq_data)
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#' hr_trend(dv_data)
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#' hr_trend(dv_data, return = "table")
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#' }
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#'
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#' @return
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#' Returns a ggplot object by default, where 'plot' is passed in `return`.
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#' When 'table' is passed, a summary table is returned as a data frame.
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#'
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#' @export
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hr_trend <- function(data, return = "plot"){
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options(dplyr.summarise.inform = FALSE)
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data$Date <- as.Date(data$Date, format = "%m/%d/%Y")
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## Date range data frame
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myPeriod <- extract_date_range(data)
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plot_data <-
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data %>%
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group_by(Date) %>%
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summarise(n = n_distinct(PersonId)) %>%
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ungroup()
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if(return == "plot"){
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plot_data %>%
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ggplot(aes(x = Date, y = n)) +
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geom_line(size = 1) +
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labs(title = "Population over time",
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subtitle = "Unique licensed population by week",
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caption = paste("Data from week of", myPeriod$Start, "to week of", myPeriod$End)) +
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ylab("Employee count") +
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xlab("Date") +
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scale_y_continuous(labels = round, limits = c(0,NA)) +
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theme_wpa_basic()
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} else if(return == "table"){
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plot_data
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} else {
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stop("Please enter a valid input for `return`.")
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}
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}
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