Data Visualization with MATLAB – Projects and Examples

Data Visualization with MATLAB – Projects and Examples, available at $64.99, has an average rating of 4.05, with 60 lectures, based on 318 reviews, and has 3520 subscribers.

You will learn about Create 2D plots with MATLAB Create 3D plots with MATLAB Create Volumetric plots with MATLAB Express yourself by MATLAB plots Export figures from MATLAB for use in documents Have basic understanding of Quality Code in MATLAB This course is ideal for individuals who are Students or Academics or Scientists It is particularly useful for Students or Academics or Scientists.

Enroll now: Data Visualization with MATLAB – Projects and Examples

Summary

Title: Data Visualization with MATLAB – Projects and Examples

Price: $64.99

Average Rating: 4.05

Number of Lectures: 60

Number of Published Lectures: 60

Number of Curriculum Items: 60

Number of Published Curriculum Objects: 60

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Create 2D plots with MATLAB
Create 3D plots with MATLAB
Create Volumetric plots with MATLAB
Express yourself by MATLAB plots
Export figures from MATLAB for use in documents
Have basic understanding of Quality Code in MATLAB

Who Should Attend

Students
Academics
Scientists

Target Audiences

Students
Academics
Scientists

Why Visualize Data?

As the volume and complexity of data and results continues to grow with the increasing complexity of data sources and algorithms, the need for intuitive representations of that data and results becomes increasingly critical.

We want to create the representations in such a way that the human mind can, after all, better understanding our universe and the processes taking place within – representation of a real-world object, an abstract mathematical expression, specific values of some measurable quantities, etc. Since 80 percent of the sensory information the brain receives comes from our eyes, the visual presentation of data is the natural choice.

The graphical representation of the results is often not only the most effective means of conveying the points of the study or work which has provided the data, but is in most cases an expectation of the audience of the work. It helps you to identify and emphasize areas of interest in data behavior, to express your thoughts, observations, and conclusions to others in a quick and intuitive way.

Why MATLAB?

1. Ease of Use

MATLAB is an interpreted language. Programs may be easily written and modified with the built-in integrated development environment and debugger.

2. Platform Independence

MATLAB is supported on many different computer systems, providing a large measure of platform independence. The language is supported on Windows, Linux, Unix, Macintosh. Programs written on any platform will run on all of the other platforms.

4. Device-Independent Plotting

MATLAB, unlike other computer languages, has many integral plotting and imaging commands. The plots and images can be displayed on any graphical output device supported by the computer on which MATLAB is running. This capability makes MATLAB an outstanding tool for visualizing data.

5. Full set capabilities

MATLAB has all graphics functions necessary to visualize scientific and engineering data. It includes features for representation of two-dimensional and three-dimensional diagrams, three-dimensional volume visualization, animation, tools to create diagrams interactively and the possibility of exporting to the most popular graphic formats. It is possible to customize diagrams adding multi-axes, change the colors of the lines and markers, add annotations, LaTeX expressions, legends and other plotting options.

Why this course?

Breaks the complex plot techniques down into simplistic steps.
Easy and intuitive approach from professional trainers.
Ideal for students, academics, scientists.
Suitable for beginner programmers.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Basic Settings and Basic Plot

Lecture 3: Basic Settings – Part 2

Chapter 2: 2D Plots and Basic Properties

Lecture 1: Customizing Plots Part 1 – Labels, Grid, Font Styling

Lecture 2: Customizing Plots Part 2 – Titles

Lecture 3: Customizing Plots Part 3 – Axis Limits

Lecture 4: Customizing Plots Part 4 – Line width and color

Lecture 5: Customizing Plots – Source code

Lecture 6: Hold on! Multiple Plots on a Single Figure?

Lecture 7: Hold on – Source code

Lecture 8: Legend – What does this line do?

Lecture 9: Legend – Source code

Lecture 10: Multiple Plots Part 1 – Figures

Lecture 11: Figures – Source code

Lecture 12: Multiple Plots Part 2 – Subplot

Lecture 13: Subplot – Source code

Lecture 14: Customizing Plots (Advanced) Part 1 – Markers

Lecture 15: Markers – Source code

Lecture 16: Customizing Plots (Advanced) Part 2 – Ticks and Grid Manipulation

Lecture 17: Ticks and Grid Manipulation – Source code

Lecture 18: Customizing Plots (Advanced) Part 3 – Ticklabel and Lineplots

Lecture 19: Ticklabel and Lineplots – Source code

Lecture 20: Two Y Axes on a single figure? Call PlotYY! (2D Project)

Lecture 21: PlotYY 2D Project – Source code

Chapter 3: 3D Plots, Quality Code and Animation

Lecture 1: Plot3 – Line plots in 3 dimensions

Lecture 2: Plot3 – Source code

Lecture 3: Meshgrid – Doorway to 3D+ plots

Lecture 4: Meshgrid – Source code

Lecture 5: Contour Plot – Wanna plot a mountain?

Lecture 6: Contour Plot – Source code

Lecture 7: 3D Project

Lecture 8: 3D Project Quality Code

Lecture 9: 3D Project and Quality Code – Source code

Chapter 4: 4D & 5D Plots

Lecture 1: Slice and Dice Part 1 – 4D Slice Plots

Lecture 2: Slice and Dice P1 – Source code

Lecture 3: Slice and Dice Part 2 – Moving Slices

Lecture 4: Slice and Dice P2 – Source code

Lecture 5: Slice and Dice Part 3 – 5D Slice Plots

Lecture 6: Slice and Dice P3 – Source code

Lecture 7: 4D, 5D and Animated Scatter Plots

Lecture 8: Scatter3 – Source code

Chapter 5: Exporting

Lecture 1: Export your figure and use it anywhere!

Lecture 2: Exporting – Source code

Chapter 6: Hierarchy of MATLAB Graphical Objects and 2D Template

Lecture 1: The Hierarchy of Graphical Objects in MATLAB

Lecture 2: Saving and Loading Your Variables

Lecture 3: SPECIAL GIFT: Predefined 2D Template To Visualize Your Data Easier and Faster

Lecture 4: 2D Template Source Code

Chapter 7: Designing Interactive Plots

Lecture 1: Making Your Plots Interactive – Callbacks – What is a Callback?

Lecture 2: Callbacks Example – Change Axes Properties By Pressing a Key

Lecture 3: SPECIAL GIFT: 3D Explorer – For Easier Visual Exploration of 3D MATLAB Plots

Lecture 4: 3D Explorer – Source Code

Chapter 8: Visualizing up to 3D Matrices in a Plot

Lecture 1: Introduction to the Project

Lecture 2: Visualizing an image(array data) within a plot as cells

Lecture 3: Fixing the stylings of the plot and the colorbar

Lecture 4: Making the data cursor show custom (relevant) information

Lecture 5: Matrix Visualization – Source Code

Chapter 9: Bonus Section

Lecture 1: Further Reading

Lecture 2: Line styles, Marker types and Colors

Lecture 3: Colormaps

Lecture 4: Bonus Lecture: Get my other courses with a Huge Discount!

Instructors

Tod Vachev
Best Selling Instructor 100,000+ Students, Robotics Engineer
Hristo Zhivomirov
Signal Processing, Electrical Measurements, Matlab

Rating Distribution

1 stars: 6 votes
2 stars: 5 votes
3 stars: 37 votes
4 stars: 88 votes
5 stars: 182 votes

Frequently Asked Questions

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