Example of a segmented barplot

A segmented barplot is a type of barplot that is used to compare the proportions or percentages of different groups within a categorical variable. It is similar to a stacked barplot, but each group is shown as a separate segment rather than as a stacked portion of the bar.

For example, let's say you want to compare the favorite colors of people in two different cities. You conduct a survey and ask people in each city what their favorite color is, and you record their responses. You can use a segmented barplot to show the proportions of people who chose each color in each city.

To create the segmented barplot, you first need to calculate the proportions of people who chose each color in each city. For example, let's say that in City A, 30% of people chose red as their favorite color, 20% chose blue, and 50% chose green. In City B, 40% of people chose red, 30% chose blue, and 30% chose green.

To create the segmented barplot, you can draw a bar for each city and divide each bar into segments representing the proportions of people who chose each color. For City A, the bar would have three segments: one for red (30% of the bar), one for blue (20% of the bar), and one for green (50% of the bar). For City B, the bar would have three segments: one for red (40% of the bar), one for blue (30% of the bar), and one for green (30% of the bar).

This will help you compare the proportions of people who chose each color in each city and see if there are any differences between the two cities.

Let's write a code in R for the above example

To create a segmented barplot in R, you can use the ggplot2 package and the geom_col function. First, you need to create a data frame with the proportions of people who chose each color in each city. You can do this by using the data.frame function and specifying the proportions for each color in each city as columns. For example:

# create data frame with proportions

df <- data.frame(

  city = c("City A", "City B"),

  red = c(0.3, 0.4),

  blue = c(0.2, 0.3),

  green = c(0.5, 0.3)

)

Next, you can use the ggplot function to create a new plot, and specify the data frame you created as the data for the plot. You can then use the geom_col function to add a bar for each city, and specify the color of each segment using the fill argument. For example:

Copy code

# create segmented barplot

ggplot(df, aes(x = city)) +

  geom_col(aes(y = red, fill = "red")) +

  geom_col(aes(y = blue, fill = "blue")) +

  geom_col(aes(y = green, fill = "green"))

This will create a segmented barplot with a bar for each city, and each bar will have three segments representing the proportions of people who chose each color. You can customize the plot further by adding labels, colors, and other visual elements using the various options available in the ggplot2 package.