#' plot_med_density
#'
#' @param df dataframe of bundled procedures
#' @param temp_title the title of the plot
#' @param temp_ylab the title of the y axis
#' @param temp_xlab the title of the x axis
#'
#' @return
#' @export
#'
#' @examples
plot_med_density <- function(df,
temp_title = "Density Plot",
temp_ylab = "Count",
temp_xlab = "Median Bundled Procedure Price"){
med_price_dist <- ggplot2::ggplot(data=df,
ggplot2::aes(x=tp_med))+
ggplot2::geom_histogram(fill="#617ff7")+
#geom_density(aes(y=..count..))+
ggplot2::geom_vline(xintercept = median(df$tp_med))+
ggplot2::annotate("label",
x=median(df$tp_med),
y=15,
color="#617ff7",
label=paste0(round(mean(df$tp_med),2) ))+
ggplot2::labs(title=temp_title)+
ggplot2::xlab(temp_xlab)+
ggplot2::ylab(temp_ylab)
}
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