Now you know everything necessary to plot a 100% stacked bar chart, so let's use R to get it done. We will use code similar to what we used for the classic bar chart, but this time we will add a new argument to aes.
The standard code for a bar chart in ggplot2 is:
ggplot(data = dataset, aes(x = variable_x, y = variable_y)) + geom_col()
We pass variable_x as x, which means we will have one bar for each category of the x variable. We pass variable_y as y, so segment height will be proportionate to the calculated y variable.
We want to divide our bar according to our groups, so we add the fill argument, like this:
ggplot(data = dataset, aes(x = variable_x, y = variable_y, fill = variable_group)) + geom_col()
We pass variable_group as the fill argument, so each category and segment will have its own color.
Let's plot our data on the 100% stacked bar chart. Use the above syntax and make france_beverages the dataset. Set country as x, percent as y, and beverage as fill in ggplot(). Add geom_col(width = 0.3) to ggplot using the + sign.
Pass the results to the stacked variable. Press when you're done.
You should write:
stacked <- ggplot(
data = france_beverages,
aes(x = country, y = percent, fill = beverage)) +
geom_col(width = 0.3)
