Data Visualization with MATLAB - Projects and Examples

Learn how to customize MATLAB plots by adding axis labels, using LaTeX formatting for subscripts, enabling dense and minor grids, and selecting fonts and sizes with set commands.

Add titles to MATLAB plots by writing a title and displaying it on the figure, and quickly customize the plot's header as part of data visualization projects.

Learn to set MATLAB axis limits with xlim and axis, defining exact x and y ranges such as 0.1 to 0.8 to reveal the intended data.

Learn to customize plots in MATLAB by changing color, line width, line style (dashed, dash-dot), and marker symbols (circles, diamonds, x, triangles).

Master creating multiple plots on a single figure in MATLAB by using hold on, renaming variables, and adjusting axis maximums and colors.

Learn how to create and position legends in MATLAB plots using the legend command, supplying names for each group and setting location with compass directions such as north and west.

Explore the figure command in MATLAB to create separate figure windows, assign figure numbers, and manage legends and titles across multiple plots.

Learn to use MATLAB's subplot to arrange multiple plots in a rows-by-columns grid, assign each element, and customize each subplot with legends, titles, and fonts.

Use a handle to customize markers, assigning the plot to a variable and configuring circle markers with color, marker face color, edge color, and size for intersecting points of vectors.

Discover how to customize axis ticks and grids, including static tick vectors, using min and max values, dynamic steps, and grid minor density in MATLAB plots.

Explore customizing plots in MATLAB by setting monthly x-axis labels, configuring twelve tick marks, adding a blue dashed line for the average temperature, and adjusting axis limits and legend.

Learn how to plot two y-axes on a single MATLAB figure using plotyy, control fonts, labels, colors, ticks, and legends with handle-based editing for synchronized x axes.

Learn to create three-dimensional plots in MATLAB using plot3 with X, Y, and Z, and configure four subplots for three perspectives plus the 3D view, adjusting azimuth and elevation.

Use meshgrid in MATLAB to build X and Y grids and compute Z for 3D plots. Visualize with mesh, surface, color bar, jet colormap, and shading, adjusting alpha for clarity.

Create and adjust contour plots in MATLAB by building X‑Y grids, computing Z values, and tuning control graphs, density, color maps, and labeled handles for clear data visualization.

Visualize a MATLAB 3D project by building a mesh and plotting voltage, current, and power, enhanced with color maps and a color bar, while structuring code into sections.

Improve 3d project quality by parameterizing limits, steps, and vectors, replacing magic numbers with clearly named variables so changes propagate across plots.

Create four-dimensional plots with swire's plot by building a 3D X, Y, Z mesh and showing the fourth dimension as cosine-based data across slices.

Animate moving slices in MATLAB using a loop-driven approach, updating the x and y axis limits and using drawnow to move slices on all three axes together.

Represent data in five dimensions with slice plots in MATLAB, using space as the first three dimensions. Color encodes temperature, and time alters colors to show progression.

Create 3D scatter plots in MATLAB using x, y, z and a fourth dimension through color and size; customize markers, color maps, and animate over time before exporting.

Learn how to export MATLAB figures for publication, saving as JPEG or vector formats and sizing with units and position parameters to meet paper dimensions.

Explore the hierarchy of graphical objects in matlab, from figures and axes to lines, and modify their properties for data visualization.

Save and load your MATLAB variables with the save and load functions, naming files clearly, managing folders, and reusing data for faster experiments and easy sharing.

Use the predefined 2D template to visualize data faster by separating data code from plotting code, reusing the template, and adjusting figure size, handles, and ticks.

Learn to make MATLAB plots interactive with callbacks, including window button down and key press. Attach callback functions and use source and event data to detect clicks and keys.

Learn to control MATLAB plots with keyboard callbacks: press left or right to recolor a line green or red, and X or Y to adjust axis limits by 10 percent.

Learn to use the 3D explorer tool to freely rotate and zoom 3D MATLAB plots with the mouse, view data at points, and save or restore the axis state.

Explore visualizing matrices in MATLAB by color-coding 2D arrays with jet and temperature color maps, learning to view data patterns through visual representations.

Build a MATLAB matrix visualization function that displays array data as a color image in a figure, using image as C function and a jet colormap, with input validation.

Fix MATLAB plot styling by standardizing font to Times New Roman, labeling axes, adding a colorbar, and annotating each cell with formatted values using nested loops and matrix size.

Make three-dimensional matrices explorable by creating separate figures for each third dimension page and enhance the data cursor to show row, column, and value.