gg_prop_var_by_demographics: Generate a ggplot2 for a two factorial variables - target...

In sarid-ins/saridr: An R package for common tasks related to market research analysis via R

Description

Function accepts target variables and demographic variables (factorial variables) and calculates the proportions of the target variable in the demographic variable cut. The function produces a bar chart of the target variable proportion as a demographic variable function.

Usage

gg_prop_var_by_demographics(
  x,
  target_variable,
  demographics = vars(...),
  arrange_desc = T
)

Arguments

x	a tbl() with the data.
target_variable	Target variable on which the demographic cuts will be made.
demographics	Demographics variables. The variables' levels affect ordering on the x axis
arrange_desc	Logical. arrange parameter.

Details

Use '$' to generate the desired graph. See example.

Value

Function accepts target variables and demographic variables (factorial variables) and calculates the proportions of the target variable in the demographic variable cut. The function produces a bar chart of the target variable proportion as a demographic variable function.

Examples

quality_assurance <- data.frame(
product_color = sample(c("Red", "Green", "Blue", "Orange"), size = 50, replace = T),
status = sample(c("pass", "fail"), size = 50, replace = T),
product_name = sample(c("Lea", "Rose", "Ruth"), size = 50, replace = T))

quality_assurance_plot <- gg_prop_var_by_demographics(quality_assurance,
                     target_variable = product_name,
                     demographics = vars(product_color, status))

quality_assurance_plot$product_color
quality_assurance_plot$status

sarid-ins/saridr documentation built on Nov. 10, 2020, 9:07 p.m.