Skip to content
Datanovia
Visualization

R Graphics Essentials

Great Data Visualization in R

Alboukadel Kassambara

A guided reading path across the toolkit

R Graphics Essentials

Great Data Visualization in R

The whole R graphics toolkit — pick the right plot for the right data, across ggplot2, ggpubr, and base R.

Read it free as lessons

16 chaptersruns in your browser

The runtime is the judge

A real figure from the book. Run it yourself.

This is a genuine, reproducible figure from a chapter — not a mockup. Open the lesson and run every line in your browser.

A four-panel R graphics gallery: a density ridgeline, a grouped boxplot, a scatter with a regression line, and a correlation heatmap.
Open the lesson and run it

Where to start

Jump straight into a few key chapters, or read the whole book below.

The book is the free curriculum

There's no paywall on understanding. Every chapter is a free, runnable lesson — read the whole book online. The Pro PDF is the same content, typeset to keep.

  1. 01Introduction to ggplot2
  2. 02Distribution of One Variable
  3. 03Density Ridgelines
  4. 04Histogram
  5. 05Boxplot
  6. 06Barplot
  7. 07Scatter Plot
  8. 08Smooth Line
  9. 09Scatterplot Matrix
  10. 10Scatter & Correlation (ggpubr)
  11. 11Bar Plots & Alternatives (ggpubr)
  12. 12Line Plot (Time Series)
  13. 13Facets
  14. 14Arrange & Combine (ggpubr)
  15. 15Themes
  16. 16Save with ggsave

Every chapter is free to read and run online.

Free online, or keep it forever

These are different goods — not a paywall on the same thing.

Free online

Interactive, always current, every cell runnable. The full book, in your browser, forever free.

  • The complete book, chapter by chapter
  • Every example runnable in your browser
  • Always the latest edition
  • No sign-up, no paywall

With Pro

  • A typeset offline PDF and ePub
  • Prova on your own code and data
  • Verifiable certificates
  • Saved work and higher compute
  • All seven books, living and updated

Learn it free online. Keep it forever as a book.

You already run his code

Alboukadel Kassambara wrote the R packages a generation of data scientists reach for — ggpubr, factoextra, survminer, rstatix, ggcorrplot. More than 50 million installs. This book is the source.

50,000,000

combined package installs

Meet the author

From readers of the published editions.

Why Pro is worth it

The €199/year isn't for a PDF of free content. It's for Prova running on your own data, the entire continuously-updated curriculum, verifiable certificates, saved work, higher compute — and every book, living.

Less than the big subscription platforms charge for a fixed course library — and Pro runs on your own data.

Frequently asked questions

Is the book really free to read?
Yes. Every chapter is a free, runnable lesson online — the complete book, no paywall on understanding. Pro adds the offline typeset PDF/ePub, Prova on your own data, certificates, and more.
Can I buy just this one book?
The offline PDF is a Pro perk, not sold on its own. If you want a single-book, one-time purchase, the ebook is available on Kindle. Everything else lives in Pro.
What formats does the Pro book come in?
A typeset PDF at launch, with ePub as a fast-follow — both watermarked to your account and auto-updated from the same source as the free lessons.
Do the books keep getting updated?
Yes. Each book is generated from the living lessons, so your offline copy tracks the latest edition — no frozen, out-of-date PDF.
I bought this book before — what happens to my purchase?
Your past purchase and Kindle copy stay yours. Pro is a new, recurring option that adds the living online book plus the whole platform.

Start reading — free.

Open the book as living lessons and run every example. Keep it offline, on your data, with Pro.

Read it free as lessons