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R Academy · Lesson

Customization of Plots

Modify plot elements like titles, axes, and legends to create clear and informative visuals.

Customization of Plots is a free R Academy lesson on CoddyKit — lesson 2 of 3. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the R Academy learning path, one of 3 lessons in the course, and your progress syncs across the web and the CoddyKit app.

1

Introduction to Customizing Plots

Customizing plots in R helps make data visualizations more effective and visually appealing.

Customization of Plots — illustration 1

2

Changing Colors

You can modify colors in plots using the col parameter.

plot(1:10, col='blue', pch=16, main='Colored Points')

3

Adding Titles and Labels

You can add a title, x-axis, and y-axis labels to a plot.

plot(1:10, main='Customized Plot', xlab='X Axis', ylab='Y Axis')

4

Modifying Point Shapes

You can change the shape of points using the pch parameter.

plot(1:10, pch=17, col='red', main='Triangle Shaped Points')

5

Adjusting Line Styles

You can change line types using the lty parameter.

plot(1:10, type='l', lty=2, col='blue', main='Dashed Line Plot')

6

Adding a Legend

Legends help explain different elements in a plot.

plot(1:10, col='blue', pch=16)
legend('topright', legend='Data Points', col='blue', pch=16)

7

Customizing Axes

You can manually set axis limits and labels using xlim and ylim.

plot(1:10, xlim=c(0,15), ylim=c(0,20), main='Custom Axes')

8

9

Saving Customized Plots

You can save your customized plots using pdf() or png().

png('custom_plot.png')
plot(1:10, col='green')
dev.off()

10

Summary

In this lesson, you learned:

  • How to change colors, point shapes, and line types.
  • How to add legends and labels.
  • How to save customized plots.
Customization of Plots — illustration 10

Frequently asked questions

Is the “Customization of Plots” lesson free?

Yes — the full text of “Customization of Plots” is free to read here on the web, and the R Academy course includes 3 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the R Academy course, upgrade to CoddyKit PRO.

What will I learn in “Customization of Plots”?

Modify plot elements like titles, axes, and legends to create clear and informative visuals. You practise R Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start R Academy?

No prior experience is required. R Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 3, so you can start here or from the beginning and move at your own pace.

How long does the “Customization of Plots” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this R Academy lesson?

Yes. Every R Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Basic Plots in R
  2. Customization of Plots
  3. Saving and Exporting Graphics
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