LabPlot
#LabPlot is a #FREE, #OpenSource and #CrossPlatform #DataVisualization and #DataAnalysis #Software #Accessible to everyone. JOIN US!
• High-quality #DataViz and #Plotting
• Reliable and easy #DataAnalysis and #Statistics,
• #Computing with Interactive #Notebooks (#Python #R #Julia #Octave #Maxima #Scilab #Sage #Lua)
• Effortless #DataExtraction from #plots and support for #LiveData
• Smooth Data #Import and #Export (multiple formats)
• Available for #Windows, #macOS, #Linux, #FreeBSD and #Haiku
- 2 Posts
- 7 Comments
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
Great question! And what’s _your_ answer?
Any exploratory plot forms a question and your comment shows how to look for answers. Thanks!
The points are jittered along the x-axis, otherwise the data points could overlap.
You can read more on boxplots here:
@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.