Difference between revisions of "Training:SummerSchool2019:Programme:viz"
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Latest revision as of 18:21, 3 June 2019
Visualization
Description: It is hard to extract conclusions from raw data, which is why we always turn the data into something we can interpret visually. This can range from 2D graphs to complex 3D animations. This introduction will cover various 2D visualization tools such as GnuPlot and Plot.ly, but also 3D tools such as ParaView for visualizing complex data sets.
