#LabPlot is a #free, #opensource 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 Maxima Octave and more)
• Data extraction from plots and support for live data
• Smooth data import and export (many file formats)
• Runs on Windows, macOS, Linux, BSD, Haiku, GNU
Assuming a steady flow of bugs of the same kind, we share the same line of reasoning.
@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/
@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
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
11/ It’s time for the next of Paul F. Velleman’s Aphorisms for Data Analysis:
#Aphorism #DataAnalysis #DataScience #Data #Outlier #DataViz #Science #Statistics #Mathematics #Math #STEM #FOSS #FLOSS #OpenSource #LabPlot
@silmaril this is correct at the moment. Clearly, this not what people want to have usually and we need to change this.
To determine the required version, you can check the dependencies of executable ‘cantor_pyrhonserver’ on Linux either in your package manager or with ldd. For windows we compile and ship everything and document the required version of python in our FAQ.
@opensource @dumnezero
It depends on the expected functionality. You can check the existing features here:
➡️ https://labplot.org/features
We are currently working on expanding #LabPlot’s functionality in these areas:
▶️ Live Data Analysis
▶️ #Python Scripting
▶️ Statistical Analysis
▶️ Quality Improvement Charts