LabPlot
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 Julia 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
- 44 Posts
- 47 Comments
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
1·3 months agoSince 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
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 Thank you for your feedback! And let us reiterate here that any help would be greatly appreciated 🙂
@silmaril “system version” is the version that was used by your system/distribution to link cantor against. We’ll re-phrase this part to make it more clear until we have a better and more flexible solution in place.
Yes, showing the version should be possible in the settings dialog. We added this point to our TODO-list.
@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.
@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.