LabPlot

joined 2 years ago
[–] LabPlot@floss.social 0 points 1 year ago (1 children)

@smeg

The points are jittered along the x-axis, otherwise the data points could overlap.

[–] LabPlot@floss.social 1 points 1 year ago* (last edited 1 year ago) (1 children)

@NOT_RICK

Australia is the next country after Ethiopia, but it's not outlier in this case.

[–] LabPlot@floss.social 2 points 1 year ago* (last edited 1 year ago)
[–] LabPlot@floss.social 11 points 2 years ago (1 children)

@nikoof

Our Christmas tree includes a test to check if our readers are humans 😉

[–] LabPlot@floss.social 21 points 2 years ago (1 children)

@zkfcfbzr @opensource

Let's just assume that the Christmas tree includes a test to check if our readers are humans 🙂

[–] LabPlot@floss.social 1 points 2 years ago

@dataisbeautiful

The process average X and control limits are added to the plot for men. The average is 63.4. The upper control limit (UCL) is 64.8 and the lower control limit (LCL) is 62.0.

The UCL represents the largest value you would expect if you only have common causes of variation present. The LCL represents the smallest value you would expect if you only have common causes of variation present.

➡️ https://en.wikipedia.org/wiki/Control_chart

#DataViz #Statistics #Health #LabPlot #SPC #OpenSource

[–] LabPlot@floss.social 3 points 2 years ago* (last edited 2 years ago) (1 children)

@dataisbeautiful !health@lemmy.world !labplot@lemmy.kde.social
@Generous1146

Actually, it looks more like the disability-free life expectancy has increased in 2015 and since then stays at about the same level.

#DataViz #Statistics #Visualization #Health #Disability #LabPlot #OpenSource #FOSS

[–] LabPlot@floss.social 4 points 2 years ago (1 children)

@dataisbeautiful @health @labplot@lemmy.kde.social

According to the Eurostat, in 2021, the number of healthy life years at birth was estimated at 64.2 years for women and 63.1 years for men in the EU, this represented approximately 77.4 % and 81.7 % of the total life expectancy for women and men.

[–] LabPlot@floss.social -3 points 2 years ago* (last edited 2 years ago) (1 children)

@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

[–] LabPlot@floss.social -1 points 2 years ago

@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

#Anscombe #SimpsonsParadox #DatasaurusDozen #Visualization #DataViz

[–] LabPlot@floss.social -2 points 2 years ago* (last edited 2 years ago) (1 children)

@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.

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