Below is a sample of the data:

`df_1 <- data.frame(total = c(0.9, 0.4, 0.2), white = c(0.6, 0.2, 0.1), black = c(0.3, 0.2, 0.1), immigrant = c(0.7, 0.3, 0.9))

df_2 <- data.frame(total = c(0.8, 0.7, 0.6), white = c(0.4, 0.3, 0.2), black = c(0.4, 0.4, 0.4), immigrant = c(0.9, 0.2, 0.1))

df_3 <- data.frame(total = c(0.6, 0.8, 0.9), white = c(0.4, 0.2, 0.7), black = c(0.2, 0.6, 0.2), immigrant = c(0.6, 0.8, 0.5))`

Hi, I am interested in using ggplot2 to graph the dataframes above. In my example, each dataframe represents a different decade as follows: df_1 represents 1930, df_2 represents 1990, and df_3 represents 2020. I am interested in calculating the mean/average of each of the four columns and then graphing the results. I would like the x-axis to represent each year (1930, 1990, and 2020) and the y-axis to represent the calculated means (which should range from 0-1). The columns in all of the dataframes show different demographic groups and would be visualized as a point in the graph. Below is an idea of what I am envisioning.