Visualization of n-dimensional heterogenous data

Martin Janda Supervisor: Ladislav Čmolík Master thesis 2018
This master thesis is concerned with a design and implementation of application for visualization of n-dimensional heterogeneous data. Firstly, there are analysed methods used for visualization of n-dimension data with a description of their advantages and disadvantages attached. Then the thesis pays attention to a newly designed visualization method. The base of the method is related to parallel sets method and it tries to remove its defects. In another part, there is description of the design and implementation of the application that can visualize data through the newly designed method and method of parallel sets. At the end, one can find the designed application tested by user-test with the purpose to compare the used methods.