MATLAB Training Overview
In this MATLAB Data Visualization and Charting training course, attendees learn how to display and visualize data from different formats, including numeric, time-series, categorical, geographic, images, movies, and more. Students learn MATLAB’s numerous charting and presentation options and various formats. In addition, participants learn about design principles, compatibility considerations across MATLAB releases, and aspects of run-time performance.
Location and Pricing
This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Experience alternative methods for presenting data and analysis results in MATLAB
- Understand how and when to use different MATLAB graph types
- Apply good design principles for clear visualization
- Discover how to manipulate and customize graphs and images
- Understand how to create and display images and movies
- Learn how to store and reuse charts and images
- Use specialized chart types (geo bubbles, heatmaps, etc.)
Prerequisites
Students must be comfortable using the MATLAB environment. No prior programming experience or familiarity is assumed for this course. However, familiarity with MATLAB scripting/programming would be helpful.
Outline
Expand All | Collapse All
Introduction to MATLAB Data Visualization
- Comparison of MATLAB visualization methods
- Tradeoff considerations
- General design principles
- MATLAB graphics evolution and roadmap
Displaying Data in Graphs
- Comparison of 2D, 2.5D, and 3D graphs
- Customizing graphs
- Colormaps and colorbars
- Plot annotations and data tips
- Legends
- Controlling zoom, pan, lighting, rotation
- Patches and transparency
- Using NaNs as a plotting technique
- Extracting data from existing plots
- Displaying multiple figure plots
- Sub-plots and stacked plots
Programmatic MATLAB Graphics
- Handle Graphics
- The inspector tool
- Figure, axes, and plot properties
- Interactive vs. programmatic control
- Manipulating graphic properties
- Modifying the displayed data-tips
- Extending built-in graphics with customized charts
- Exporting figures & plots
- Generating an m-file to recreate a graph
- Updating plots in run-time
- Performance considerations
Images and Movies
- Loading and displaying images
- Image manipulations
- Animating graphics
- Creating and displaying movies
Conclusion
Training Materials
All MATLAB training students will receive comprehensive courseware.
Software Requirements
- Any Windows, Linux, or macOS operating system
- A recent version of MATLAB
