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An example analysis of a #learning process with #LabPlot dev (P-chart).
@labplot@lemmy.kde.social @opensource
The process is off the target and has large variation. Variation always creates costs. The point outside the limits is evidence that assignable causes with dominant effects are present and the process will behave UNPREDICTABLY.
'With an unpredictable process, PREDICTION IS FUTILE, but action may be taken to move the process closer to its full potential.' D.J. #Wheeler
What is the benefit of using labplot over matplotlib or seaborn?
Some benefits of #LabPlot:
an interactive environment with a graphical user interface, ease of use for non-programmers, built-in tools for data analysis, statistics, regression, and curve fitting, platform integration that may offer a better experience than running Python scripts, possibility to run #Python, #Maxima, #R, #Octave and other languages inside LabPlot's computational notebooks.
Take a look at LabPlot's features:
