Srovnání vybraných softwarů pro analýzu dat z hlediska grafických výstupů

This bachelor thesis deals with graphical data analysis in MS Excel, R and Python with the main focus on the creation of graphical output. The different environments are briefly introduced including the specific libraries or packages used. Subsequent chapters each focus on one specific type of graphical analysis over a selected data set. The approach to creating that output in each of these programs is described, including the implementation code. Subsequently, the possible graphical output is presented, including a description of the specific features and, in the final section, a comparison and evaluation of the use and capabilities of the program for the selected graphical analysis. The overall advantages and disadvantages of using each program are evaluated at the end of the paper. The main advantage of MS Excel is the intuitive charting as well as the visual aspect. On the other hand, the disadvantage is in the creation of more complex graphs, which are preceded by a more complicated path for setting up the input. The main advantage of R and Python is the ability to modify any element of the graph, as well as freely available packages that expand the possibilities when creating graphs. The disadvantage of these programs is the necessary knowledge of basic syntax when writing commands