# Plotting Categorical Data In R Ggplot2

For example, the height of bars in a histogram indicates how many observations of something you have in your data. We then instruct ggplot to render this as a line plot by adding the geom_line command. This gives you the freedom to create a plot design that perfectly matches your report, essay or paper. transform data. I tried using the par command but it seemed to work only for base plotting package and not lattice and ggplot. It plots Z to A from the top-to-bottom. Now there are two ways in which you can use facets: A. Because there are only 4 locations for the points to go, it will help to jitter the points so they do not all get overplotted. Categorical or group-membership data ("factors" in R) are often summarized in tables, the cells of which indicate absolute or relative frequencies of different combinations of the levels of the factors. A package which allows you to get more control on charts, graphs and maps, is also known to create breathtaking graphics. The R-Bootcamp is a gentle and gradual introduction to manipulating and visualizing data in R using the `tidyverse` suite of packages. R has a special way of representing them, called factors, and this course will help you master working with them using the tidyverse package forcats. class: center, middle, inverse, title-slide # A ggplot2 grammar guide ### Gina Reynolds, July 2019 --- ---