R Academy · Lesson

Customization of Plots

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

Lesson 2 of 310 steps

Customization of Plots is a free R Academy lesson on CoddyKit. This is lesson 2 of 3. Any 3 lessons of this learning path are free to read in full — after that, CoddyKit PRO unlocks every lesson, plus hands-on practice with a built-in code editor and a 24/7 AI tutor. It is part of the R Academy learning path, and your progress syncs across the web and the CoddyKit app. The R Academy course includes 3 lessons in total.

Introduction to Customizing Plots

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

Customization of Plots — illustration 1

Changing Colors

You can modify colors in plots using the col parameter.

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

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')

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')

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')

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)

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')

Saving Customized Plots

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

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

Plot Customization Recap

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
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Frequently Asked Questions

Is the “Customization of Plots” lesson free?

Yes — any 3 lessons of the R Academy learning path, including “Customization of Plots”, are free to read in full here on the web. After that, CoddyKit PRO unlocks every lesson, plus interactive practice with a built-in code editor and a 24/7 AI tutor. The R Academy course includes 3 lessons in total.

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, so you can start here or from the beginning and move at your own pace. This is lesson 2 of 3.

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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