From the course: Data Visualization in R with ggplot2
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Cleaning up legends
From the course: Data Visualization in R with ggplot2
Cleaning up legends
- [Instructor] Some scales produce visualizations with meanings that aren't obvious to the viewer. Legends can help us clarify these visualizations. A legend provides the viewer with a key to interpreting the scale. On this bar graph, the meaning of the X and y values are obvious from their context. The X axis shows region and the Y axis shows the number of institutions. However, color isn't meaningful by itself. But if we add a legend that explains the colors, we immediately grasp their purpose. The guide_legend function allows us to display legends for scales that don't have intuitive meanings. We commonly use legends for scale, such as fill, color, and shape. Let's give it a try in Rstudio. Here's the code to produce our bar graph of schools. And when I ran this code, R automatically understood that a legend was necessary to explain color, so it added one. It uses some default information. The variable that I mapped to fill was called control so that becomes the title of the legend…
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