Annotation with ggplot2

Annotation is a key step in data visualization. It allows to highlight the main message of the chart, turning a messy figure in an insightful medium. ggplot2 offers many function for this purpose, allowing to add all sorts of text and shapes.

Annotate with geom_text

geom_text() allows to add annotation to one, several or all markers of your chart.

mathworks matlab r2023b v23202365128 docum better

Annotate with geom_label

Very close to geom_text, geom_label produces a label wrapped in a rectangle. This example also explains how to apply labels to a selection of markers.

Rectangle

Learn how to use the annotate function to add a rectangle on a specific part of the chart.

Segment

How to add one or several segments to the chart.

Arrow

Basically the same as for a segment, with just one additional argument.

Abline

Add horizontal or vertical ablines with geom_hline and geom_vline.

Curved arrows

Dicover how to draw curved arrows in ggplot mathworks matlab r2023b v23202365128 docum better

Marginal plot

Marginal plots are not natively supported by ggplot2, but their realisation is straightforward thanks to the ggExtra library as illustrated in graph #277.

Scatterplot with rug

Add rug on X and Y axis to describe the numeric variable distribution. Show how geom_rug() works.

Marginal distribution

Add marginal distribution around your scatterplot with ggExtra and the ggMarginal function.

Marginal boxplot

Using boxplots is another way to show the marginal distribution. Find more in this post. The Live Editor in this version includes new

ggplot2 chart appearance

The theme() function of ggplot2 allows to customize the chart appearance. It controls 3 main types of components:

Axis: controls the title, label, line and ticks
Background: controls the background color and the major and minor grid lines
Legend: controls position, text, symbols and more.

Axis

Customize ggplot2 axis: title, line, labels and ticks.

Background

Customize ggplot2 background: color, major and minor grid lines.

Legend

Customize ggplot2 legend: position, title, text, key symbol and more. Whether you are a student learning the basics

Tidyverse

Here’s the official ggplot2 cheatsheet created by Posit. It covers all the key concepts of the library.

I've also compiled it with the most useful R and data visualization cheatsheets into a single PDF you can download:

ggplot2

A cheatsheet for quickly recalling the key functions and arguments of the ggplot2 library.

Mathworks Matlab R2023b V23202365128 Docum Better Jun 2026

The Live Editor in this version includes new interactive controls and tasks, allowing engineers to build dynamic dashboards without writing complex UI code. Toolbox Expansion

The documentation—the "docum" in our keyword—truly is "better" in this release. From dark theme compatibility to panel navigation and exportable formats, MathWorks has made it easier than ever to find answers, understand functions, and share knowledge. Whether you are a student learning the basics of matrix manipulation or a veteran engineer designing next-generation 5G communication systems, R2023b delivers a polished, powerful, and well-documented platform for technical computing.

: You can now insert tables containing both text and images directly into live scripts to better document your results.

Improved integration of documentation within the Live Editor, providing faster access to syntax, usage, and examples for specialized functions.

With the ability to export live scripts to Markdown and Jupyter notebooks, users can now convert their documented analyses into formats that integrate with external documentation systems like GitHub Wikis, ReadTheDocs, or Confluence.

The "better" documentation is most visible in the Live Editor. R2023b added (e.g., buildPartialDependence , cleanMissingData ). The documentation for these tasks no longer just shows syntax; it now includes embedded playable examples . You can modify parameters inside the doc window and see the output update in real-time without copying code to the command line.

If you maintain an active internet connection, set your preferences to use the web-based documentation. MathWorks frequently updates web documentation with community clarifications, bug report links, and additional edge-case examples that might not be present in the static local installation files.

Transition your older standard script files (.m) into Live Scripts. This allows you to integrate formatted text, equations, and interactive plots, mirroring the clean presentation style found in the R2023b documentation.

The MATLAB documentation is extensive and covers all toolboxes and functions. For MATLAB R2023b, you can expect comprehensive guides, release notes, and a detailed documentation set. Users can access:

Function reference pages (e.g., plot , fft , ode45 ) now have:

Finding exact syntax examples quickly eliminates guesswork.

Sharing your work with the broader scientific community is now seamless. You can export Live Scripts and functions directly to or Jupyter notebooks . This bridge between MATLAB and other popular data science formats makes cross-platform collaboration easier than ever. 4. Low-Code AI & Experiment Management

R2023b - Updates to the MATLAB and Simulink product families