Partial/Full Histogram

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.

How to use it: #

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).

Switches: #

  • Nominal sample: Shows the output value for the nominal sample in the plot. Also, values on the horizontal axis are total function values, not incremental values!
  • Select: <increment>: Choose increments to be used to build the histogram plot.
  • Text form: Switch from the plot to table with main statistical information of currently depicted histogram.

Buttons: #

  • Invert: Inversion of checked and unchecked tick boxes selected for the visualization.
  • Select all: Select all available variables.
  • Unselect all: Unselect all available variables.
  • Apply: Changes on the graph will take effect after pressing the apply button.

The graph is fully adjustable with options, where:

  • Plot title: Title of the graph
  • Title font: Font type and size of the plot title
  • X Axis Label: Label of X axis
  • Y Axis Label: Label of Y axis
  • Axis Font: Font type and size of the plot axis
  • Bin Count: Number of categories in histogram
  • X Range: Restriction of range for X axis, toggle on/off
  • Y Range: Restriction of range for Y axis, toggle on/off
  • Histogram Color: Color of histogram plot
  • Normalize Plot: Normalization of histogram plot, toggle on/off
  • Log. vertical Axis: Logarithmic scale of vertical axis, toggle on/off
  • Mean value selected PDF: Color of mean value line – selected increment functions, toggle on/off
  • Legend Font: Type and size of the legend font, toggle on/off

Fig. 2: Partial histogram options

Print: #

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.