ggplot2 09 Arranging plots

Описание: Arrange Multiple ggplot2 Plots Like a Pro (Patchwork in R) | Layouts, Shared Legends, Annotations, Insets

In this lecture, you’ll learn how to combine and arrange multiple ggplot2 plots cleanly and flexibly using the patchwork package—perfect for reports, papers, dashboards, and polished “publication-ready” figures.

What you’ll learn

• Put plots side-by-side (and stack them) using patchwork operators (+, |, /)
• Take full control of layout with plot_layout(): rows/cols, spacing, and advanced designs
• Collect and de-duplicate legends with guides = "collect" and guide_area()
• Apply global styling across subplots (themes and geoms stay “ggplot-native”)
• Add titles/captions and auto-tag subplots with plot_annotation() + tag_levels
• Create inset plots with inset_element() (including precise placement)

Who this is for

• Students learning data visualization in R
• Analysts and data scientists building multi-panel figures
• Anyone using ggplot2 who’s tired of fighting layout/legend alignment

Packages used

• ggplot2
• patchwork

Resources

ggplot2 book (online): https://ggplot2-book.org/
Book source on GitHub: https://github.com/hadley/ggplot2-book/

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#rstats #ggplot2 #datavisualization #datascience #statistics #patchwork #Rprogramming #dataviz
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