LabPlot
LabPlot is a FREE, open source and cross-platform data visualization and analysis software accessible to everyone and trusted by professionals.
• High-quality interactive plotting
• Reliable and easy data analysis, statistics, regression, curve and peak fitting
• Computing with interactive Notebooks (Python R Julia Octave and more)
• Data extraction from plots and support for real-time data
• Smooth data import and export (many file formats)
• Runs on Windows, macOS, Linux, FreeBSD, Haiku
- 43 Posts
- 38 Comments
1·3 months ago@bitigchi @[email protected] we finalized the port to Qt6 already long time ago. We’re finalizing the Qt6-port of Cantor now and we’ll switch in master to Qt6 once also this dependency was ported. The next release should be based on Qt6 already. So, it should be done soon.
That would be great, thanks! 🙂
#LabPlot is now also fully available in Ukrainian and French! Thank you ❤️🙂
The following translations still need some work… And other languages need a bit more work 😉
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.
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
Since July you can enjoy the new 2.11.1 version of #LabPlot, an open-source data analysis and visualization software.
Check your current version and ask your package maintainer to provide the latest version for your #Linux and #FreeBSD distribution.
➡️ https://repology.org/project/labplot/versions
#DataAnalysis #Statistics #Research #Ubuntu #LinuxMint #ArchLinux #Slackware #Debian #Fedora #OpenSUSE #RedHat #HaikuOS #GNU #CentOS #FreeSoftware #OpenSource #Manjaro #Zorin #FOSS #FLOSS #KDE
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.
Australia is the next country after Ethiopia, but it’s not outlier in this case.
You can read more on boxplots here:
@maulanahirzan @[email protected]
Thank you for sharing your opinion. We love to hear that you enjoy using #LabPlot. We invite you to also subscribe to our LabPlot YouTube channel.
14/ The last of Paul F. Velleman’s aphorisms refers to the value of conflicting explanations.
#DataAnalysis #DataScience #Analytics #Data #DataAnalytics #DataViz #DataVisualization #Science #Statistics #Math #STEM #FOSS #OpenSource #KDE #Education #Business #LabPlot
13/ Another of Paul F. Velleman’s aphorisms is related to the co-evolution of different aspects of data analysis.
➡️ The data analysis process rarely proceeds in an orderly march from question to answer.
➡️ Software that requires us to know the question before we can seek answers hinders real data analysis.
#DataAnalysis #DataScience #Analytics #Data #DataAnalytics #DataViz #DataVisualization #Science #Statistics #Math #STEM #FOSS #OpenSource #KDE #Education #Business #LabPlot
Thank you for your kind comment 🙂
@garchomp @[email protected]
The German team is certainly at the top. 😉
➡️ https://l10n.kde.org/stats/gui/trunk-kf6/team/
➡️ https://l10n.kde.org/stats/gui/trunk-kf6/team/de/