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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.
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.
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|Section 1: Introduction|
Basic Settings and Basic Plot
Basic Settings - Part 2
|Section 2: 2D Plots and Basic Properties|
Customizing Plots Part 1 - Labels, Grid, Font Styling
Customizing Plots Part 2 - Titles
Customizing Plots Part 3 - Axis Limits
Customizing Plots Part 4 - Line width and color
Customizing Plots - Source code
Hold on! Multiple Plots on a Single Figure?
Hold on - Source code
Legend - What does this line do?
Legend - Source code
Multiple Plots Part 1 - Figures
Figures - Source code
Multiple Plots Part 2 - Subplot
Subplot - Source code
Customizing Plots (Advanced) Part 1 - Markers
Markers - Source code
Customizing Plots (Advanced) Part 2 - Ticks and Grid Manipulation
Ticks and Grid Manipulation - Source code
Customizing Plots (Advanced) Part 2 - Ticklabel and Lineplots
Ticklabel and Lineplots - Source code
Two Y Axes on a single figure? Call PlotYY! (2D Project)
PlotYY 2D Project - Source code
|Section 3: 3D Plots, Quality Code and Animation|
Plot3 - Line plots in 3 dimensions
Plot3 - Source code
Meshgrid - Doorway to 3D+ plots
Meshgrid - Source code
Contour Plot - Wanna plot a mountain?
Contour Plot - Source code
3D Project Quality Code
3D Project and Quality Code - Source code
|Section 4: 4D & 5D Plots|
Slice and Dice Part 1 - 4D Slice Plots
Slice and Dice P1 - Source code
Slice and Dice Part 2 - Moving Slices
Slice and Dice P2 - Source code
Slice and Dice Part 3 - 5D Slice Plots
Slice and Dice P3 - Source code
4D, 5D and Animated Scatter Plots
Scatter3 - Source code
|Section 5: Exporting|
Export your figure and use it anywhere!
Exporting - Source code
|Section 6: Further reading and Resources|
Line styles, Marker types and Colors
Tod Vachev graduated at Technical University of Varna in 2016 as a Robotics Engineer. Currently earning money online fulltime. Todor believes that true financial freedom can be achieved only by having multiple Passive Income streams, which is not that easy feat to achieve! But it does pay of! Currently earning over $1k/month from Passive Income.
He is also big fan of Online Learning platforms both as an Instructor and as a Student. Tod Vachev is the first one to create Online Video courses on Calculus in Bulgarian, which have helped thousands of students to pass their exams. He is also a MATLAB enthusiast, as this is "a must" tool for most Students, Engineers and Scientists.
Hristo Zhivomirov was born in Varna, Bulgaria, in 1987. He received his BSc. and MSc. degrees in Communication Equipment and Technologies from Technical University of Varna, Bulgaria in 2010 and 2012, respectively. In 2016 he received a Ph.D. degree in Theory of Communication. Mr. Zhivomirov is currently an Assist. Professor in Department of Theory of Electrical Engineering and Measurements in Technical University of Varna. Mr. Zhivomirov is a member of IEEE, USB Bulgaria and FSTU Bulgaria. His research interests include the field of signal processing, circuits and systems, electrical measurements and Matlab programming (Signal Processing, Data Acquisition, Data Visualization, etc.). Mr. Zhivomirov is well identifiable in Matlab Community, persistantly ranked in Top 50 contributors.