LabPlot

@dataisbeautiful

Thank you for all your comments. A jittering of data points along the x-axis was used to avoid over-plotting. But yes, a scatter plot with a boxplot attached along the y-axis (to show outliers) may be more informative in this case.

@clutchtwopointzero

A boxplot is a 1-dimensional plot. The data points are jittered along the x-axis to make them less crowded.

More on boxplots here:

➡️ https://labplot.kde.org/2021/08/11/box-plot/
➡️ https://userbase.kde.org/LabPlot/2DPlotting/BoxPlot

@architectonas

We used #LabPlot, a free, open source and cross-platform data visualization and analysis software.

LabPlot's homepage:
➡️ https://labplot.kde.org/

Video tutorials:
➡️ https://www.youtube.com/@LabPlot/videos

@Eheran

Great question! And what's _your_ answer?

@Sconrad122

Any exploratory plot forms a question and your comment shows how to look for answers. Thanks!

@Eheran

We see all the replies here:
https://floss.social/@LabPlot/112915941751314965.

@smeg

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

@NOT_RICK

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

@dataisbeautiful

You can read more on boxplots here:

➡️ https://userbase.kde.org/LabPlot/2DPlotting/BoxPlot

@nikoof

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

@zkfcfbzr @opensource

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

@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