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
- 43 Comments
1·2 months ago@nicemicro @labplot@lemmy.kde.social
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 😉
@s3nnet @labplot@lemmy.kde.social
To whom from the KDE community should we forward this question?
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 @labplot@lemmy.kde.social
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
@morganist @labplot@lemmy.kde.social
Thank you for your kind comment 🙂
12/ Another of Paul F. Velleman’s aphorisms, this time on the importance of data visualisations.
#DataAnalysis #DataScience #Analytics #Data #DataAnalytics #DataViz #DataVisualization #Science #Statistics #Mathematics #Math #STEM #FOSS #FLOSS #OpenSource #KDE #Education #Business #EdwardTufte #LabPlot
@garchomp @labplot@lemmy.kde.social
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/