The basic use of a data visualization tool in Matlab is to allow data to be seen as a 3D model. A typical example of this is when a website maps out its content and then plots the location of search results using the mapping tool. This provides a great way to visualize and examine what a site visitor is actually looking at.
There are two basic data visualization tools that most programs will have. These two tools are the matlab canvas and the matlab axes.
Using a Matlab canvas, you can simply drag the map onto a workspace area in order to see the map in your working environment. In Matlab, the canvas allows you to create elaborate visualizations with different techniques. By holding down the mouse button and dragging around the canvas, you can then alter the map, change colors, add markers, and much more.
Another of the basic data visualization tools is the Matlab axes. Axes lets you align two or more points on the image, which allows the axis to be used to plot a line from one point to another. For example, you could use a two-axis axes to plot the distances between the locations of the search results.
You may be wondering how these tools would work in a thesis, as it would probably be more complicated than just using the matlab axes and dragging around the image. The answer is to use both tools together in order to create the required visualization.
You can create a matlabcanvas by clicking and dragging the image in the Matlab workspace and then dragging the left or right point with the mouse. From there, a new canvas will be created that will show the image properly aligned.
With the matlab axes, you simply click on the desired axis and then hold down the mouse button. It will appear that the image is continuing to rotate, but it will simply shift instead of rotating. Next, you must click and drag with the mouse to shift the axis into place.
In order to properly align the points with each other, it is important to have a list of the coordinates and the orientation of the coordinate list. Matlab will automatically convert these parameters into X and Y coordinates so you can create a suitable image alignment.
The final visualizations you may find useful are the ones that are used to construct graphs. You can view the graph using the matlab axes or the matlab canvas, either of which will show the same data in the same format.
For the matlab canvas, you simply drag the color bar and then select the colors you wish to see on the graph. You may be interested in getting some data, so you may want to view a more comprehensive version of the graph before you select any of the colors.
Here is a real world example of a visualization. To create a trendline visualization, you first need to load the data into Matlab and then select the trendline method.