LabPlot (labplot.org)Dec 14, 2024

SAME STATS, DIFFERENT IMPROVEMENTS

@programming

After 12 months of managing #bugs, #developers A, B, and C changed their approach.

Assuming a steady flow of bugs of the same kind, whose change is an improvementâť“

Boosts appreciated! 🙂  

More generally, the problem is domain independent.

#OpenSource #FreeSoftware #FOSS #FLOSS #Software #Tech #Development #Engineering #Business #Improvement #Software #Programming #Python #InfoSec #Statistics #Linux

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@LabPlot @programming
Nice demo of the most important lesson from first year statistics: stats are meaningless on their own.
https://en.wikipedia.org/wiki/Anscombe's_quartet
Anscombe's quartet - Wikipedia

Dec 15, 2024 at 10:21amWeb
Show threadLabPlot (labplot.org)Dec 15, 2024

@http @programming

Yes, this is another example of the importance of data visualization.

#LabPlot's collection of examples includes the #Anscombe's quartet, the #Simpson's paradox and the #Datasaurus Dozen [1]. These examples are quickly available in @LabPlot via File > Open Example.

[1] https://www.research.autodesk.com/publications/same-stats-different-graphs

#DataVisualization #DataViz #Statistics #DataAnalysis

Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing

Why graphical representation and visualization are so important to...

Autodesk Research