A histogram is a representation of the distribution of numerical data. It is an estimate of the probability distribution for an uncertain output/s. A histogram is well known and understood. However, our approach allows something we call partial histograms. These partial histograms represent a partial part of the final histogram and their sum creates the final histogram. This allows visualizing how each part of the variable influences the final distribution.With a partial histogram approach, a composition of the final histogram can be observed. One can see only a selected partial histogram or a set of selected partial histograms. One partial histogram shows the statistical influence of the selected increment function, where a set of partial histograms shows the overall influence of the selected increment functions on the final distribution. NOTE: The increment functions only show the shape of the distribution.
Fig. 1: Partial/full histogram plot
Table under sets -> options refers to the increment function required to create the final histogram. One can select increment functions, which wants to visualize and visualize the selection with the button apply. To visualize the final histogram, it is necessary to select all the increment functions (using button Select All).
The graph is fully adjustable with options, where:
Fig. 2: Partial histogram options
To store selected results in File (upper left corner) select Save. It will allow you to browse in folders starting in the project folder. The code automatically selects the format to store visualized results. Tables can be stored as well.
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