ggplot2 introduction | Data on display: visualizing data with ggplot2 in R (lesson 1)

👋 LESSON MATERIALS 🛑

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Chapters
00:00 Intro
1:28 Measles dataset
4:53 The Grammar of Graphics
12:20 How to answer a practice question
15:00 Modifying layers
18:36 Additional aesthetic mappings
24:04 Fixed aesthetics
29:37 Wrap-up

Learning objectives:
By the end of this lesson you should be able to:
1. Recall and explain how the {ggplot2} package for data visualization is based on a theoretical framework called the grammar of graphics.
2. Name and describe the 3 essential components required for building a graph: data, aesthetics, and geometries.
3. Write code to build a complete ggplot graphic by correctly supplying the 3 essential layers to the ggplot() function.
4. Create different types of plots such as scatter plots, line graphs, and bar graphs.
5. Add or modify visual elements of a plot such as color and size.
6. Distinguish between between aesthetic mappings and fixed aesthetics, and how to apply them.


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