The paper presents a summary comparing the wide range of ways to visualize tomographic measurement data used for diagnostics of industrial processes. It was pointed out that visualization is not just an aspiration to obtain images understood by human eyes, but that any representation of data that allow to deduce on the topic. Hence the skilful visualization of information in diagnostics of industrial processes, no matter how it will be done, makes it possible to draw the appropriate conclusions. Also was noted that the measurement and subsequent the visualization of generated big data is problematic, not only in the process of storage, but particularly in finding relevant information about process.
The introduction of meanings in Latin stresses interest since ancient times; words, which are marked in italic are crucial in the article.
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