4/4/2023 0 Comments Ggplot labellerIt’s important to understand this point: each small panel is essentially a data visualization based on a subset of the overall data. Panel B1 will be a density plot where var_1 = B and var_2 = 1. So panel A1 will be a density plot where var_1 = A and var_2 = 1. The data for each small panel will actually be a subset of the overall data. When we use these two variables with facet_grid, it will create a grid of small versions of our density plot. So let’s say that var_1 has two values, A and B. We can use those discrete variables with facet_grid() to create a grid layout. If we use facet_grid to create the small multiple chart, we need to select two variables with discrete values (i.e., categorical variables or integer variables), and use those to construct the grid layout.įor example, let’s say we have two other variables in our dataset: var_1 and var_2. We want to take that density plot and break it out into small multiples. The grid is structured according to the values of two categorical variables.įor example, let’s say that we’ve made a density plot of a variable using ggplot2. It creates several small “panels” (small versions of the same chart) arranged in a grid format. facet_grid creates a “grid” of small data visualizationsįacet_grid creates small multiple charts with a specific structure. facet_wrap “wraps” the panels around, row by row, whereas facet_grid creates a grid of panels using two discrete variables. These two techniques primarily differ in how they arrange the panels of the small multiple chart. The other technique for creating small multiples is facet_wrap, which was explained in a previous tutorial. Here’s an example of such a small multiple chart from the New York Times:įacet_grid is one of the two primary tools for creating small multiple charts in ggplot2. Each panel would represent a subset of the data for a given year. Typically, the different panels of the chart are different from one another on the basis of some variable.įor example, if you had a “year” variable in your dataset, you might create a small multiple chart where every panel represents a different year. In a small multiple chart, each small visualization is typically called a “panel”. Essentially, the small multiple chart creates several versions of the same chart that are very similar, and lays them out in the same chart in a grid layout. The small multiple chart is a type of data visualization. You can click on the links above to move directly to those sections.įacet_grid creates small multiple charts in ggplot2 An explanation of the syntax of facet_grid.Having said that, this tutorial will cover several things: If you don’t already know the basics of ggplot2, I recommend that you check out this ggplot tutorial. ggplot2 is a data visualization package for the R programming language. Specifically, it will show you how to use facet_grid to create small multiple charts.įacet_grid is fairly easy to understand, but it assumes some basic knowledge of ggplot2. This tutorial will show you how to use facet_grid in ggplot2.
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