visualizing crosstab tables with a plot in R

Using Hadley Wickham's ggplot2:

library(ggplot2)                           # Set up the vectors                           days <- c("Mon","Tues","Wed","Thurs","Fri")slots <- c("Coffee/Breakfast","Lunch","Happy Hour","Dinner")# Create the data framedf <- expand.grid(days, slots)df$value <- c(1,1,1,1,2,1,1,NA,NA,1,4,4,7,4,1,5,6,14,5,1)    #Plot the Datag <- ggplot(df, aes(Var1, Var2)) + geom_point(aes(size = value), colour = "green") + theme_bw() + xlab("") + ylab("")g + scale_size_continuous(range=c(10,30)) + geom_text(aes(label = value))

Do you care that the axis lines go through the circles? Also, the greens are slightly different and the label text is black instead of white.

The ggmosaic package extends ggplot to provide an alternative.

library(ggplot2)library(ggmosaic)# Set up the vectors                           days <- c("Mon","Tues","Wed","Thurs","Fri")slots <- c("Coffee/Breakfast","Lunch","Happy Hour","Dinner")# Create the comporessed data framedf <- expand.grid(days, slots, stringsAsFactors = TRUE)df$value <- c(1,1,1,1,2,1,1,0,0,1,4,4,7,4,1,5,6,14,5,1)    df.expanded <- df[rep(row.names(df), df$value), 1:2]#Plot the Dataggplot(data = df.expanded) +  geom_mosaic(aes(x = product(Var2,Var1), fill = Var2)) +   ggsave("mosaic.png")

Just adding an alternative approach that makes use of the excellent ggpubr package:

# Load ggpubr packagelibrary(ggpubr)## Borrowed from Tommy O'Dell's answer# Set up the vectors                           days <- c("Mon", "Tues", "Wed", "Thurs", "Fri")slots <- c("Coffee/Breakfast", "Lunch", "Happy Hour", "Dinner")# Create the data framedf <- expand.grid(days, slots)df$value <- c(1, 1, 1, 1, 2, 1, 1, NA, NA, 1, 4, 4, 7, 4, 1, 5, 6, 14, 5, 1)## Plot the data (my contribution)ggballoonplot(  data = df,   x = "Var1",   y = "Var2",  size = "value",  size.range = c(10, 20),   fill = "green",  show.label = TRUE,   rotate.x.text = FALSE,   legend = "none")

^{Created on 2021-06-12 by the reprex package (v2.0.0)}