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LabPlot

@[email protected]

Official account for LabPlot - a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.

• High-quality Data Visualization and Plotting with just a few clicks
• Reliable and easy Data Analysis and Statistics,
• Intuitive and fast Computing with Interactive Notebooks
• Effortless Data Extraction from plots and support for Live Data
• Smooth Data Import and Export to and from multiple formats
• Available for Windows, macOS, Linux and FreeBSD

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LabPlot , (edited ) to science
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Is there a causal relationship between electricity consumption and obesity, or is it just an illusory correlation❓

@science @dataisbeautiful @health

The plot and curve fitting made in @LabPlot, a FREE, open source Data Visualization and Analysis software. It works on , and .

➡️ https://labplot.kde.org/download

compiled for 184 countries.

LabPlot OP ,
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@Spuddaccino

For example: Tonga, Samoa, Kiribati, Nauru with electricity consumption per capita (the median) 548 kWh.

LabPlot OP ,
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@edwiebe @science

We agree. But still, a question is just a question, and you can always refine your questions.

Matejka, J., & Fitzmaurice, G. (2017). Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.

BTW, the Datasaurus Dozen example is already available in @LabPlot via File > Open Example.

LabPlot OP ,
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@edwiebe @science

If you are interested, please see also this thread on the importance of visualizing data (the Anscombe's quartet, Simpson's paradox are also included in @LabPlot):

https://mstdn.social/@onemoment/109692198312380103

Simpson's paradox

LabPlot OP , (edited )
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@Hazdaz @science

Is the act of distinguishing a question from an answer as difficult as recognizing spurious correlations?

The question has been raised earlier by others,. See for example this paper from 2021 (Measuring the effect of energy consumption on the epidemic
of overweight in Latin America and Caribbean countries):

https://dialnet.unirioja.es/descarga/articulo/8100043.pdf

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