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
@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.
@silmaril it’s decided at build/compile time. LabPlot is using Cantor internally and when Cantor is being built, the shared libraries of Python that are found in the labrary path are used and linked to. This basically fixes the version of Python used in labplot/cantor.
“CAS” generally stands for a “Computer Algebra System”. It encompasses statistical packages and programming languages like #Maxima, #Octave, #R, #Scilab, #Sage, #KAlgebra, #Qalculate!, #Python, #Julia, #Lua. You can use them all concurrently in multiple #LabPlot’s notebooks.
Please, see the attached screenshot. In this case, Python 3.12.3 is available in LabPlot on a Ubuntu machine.
@silmaril unfortunately this is more complicated… we’re not communicating with the binary like this is the case for example for Maxima and Octave but embedding the interpreter at runtime. So, our binaries are linked to python’s shared library. This is done at build step and this is the reason why we can only work with the “system version” of Python. This is an important topic that was raised to us already multiple times and we hope we can start working on it in the near future.
@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/