LabPlot @floss.social 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
Have you seen this video tutorial on how to extract plots, curves and data points from images using #LabPlot's Data Picker tool ?
Have you seen this video tutorial on how to extract plots, curves and data points from images using #LabPlot's Data Picker tool ?
Data Picker has been available in LabPlot since the version 2.2, but we renamed it recently to Data Extractor.
https://www.youtube.com/watch?v=D\_Pz5aA-4Xg
\#LabPlot #DataVisualization #PlotDigitizer #DataExtraction #DataExtractor #Plots #Graphs #FreeSoftware #OpenSource #FOSS #FLOSS
#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 😉
#LabPlot is currently fully available in British English, Catalan, Dutch, Galician, German, Polish, Slovenian, Spanish, Swedish and partially available in French, Italian, Ukrainian, Russian and other
\#LabPlot is currently fully available in British English, Catalan, Dutch, Galician, German, Polish, Slovenian, Spanish, Swedish and partially available in French, Italian, Ukrainian, Russian and other languages.
We would like to thank all LabPlot's translators and encourage others to provide translations in other languages ❤️ 🙂
Check translation statistics: ▶️ https://l10n.kde.org/stats/gui/stable-kf5/package/labplot/
Please get involved! ▶️ https://community.kde.org/Get\_Involved/translation
This page contains a list of external resources mentioning #LabPlot and its usage in various areas 👨🔬 🔭 🔬 .
This page contains a list of external resources mentioning #LabPlot and its usage in various areas 👨🔬 🔭 🔬 .
➡️ https://labplot.kde.org/references/
If you are aware of other resources that could be listed there, please contact us.
\#LabPlot #Science #Research #Students #Physics #Medicine #Chemistry #Biology #Engineering #Ecology #Electronics #Robotics #Education #OpenSource #FreeSoftware
If you want to learn #statistics, we highly recommend this YouTube channel: #TileStats.
If you want to learn #statistics, we highly recommend this YouTube channel: #TileStats.
You can start with this Basic Statistics course: ➡️ https://www.youtube.com/watch?v=YZGG5PpbJdc&list=PLLTSM0eKjC2eSEO7y7MZWb1sdDJiAejoI
\#Students #DataAnalysis #DataScience #AI #MachineLearning #Teaching
An open access article by W. Morales González and J. E. Hernández-Ruiz: Experiencias en el uso del software LabPlot en el procesamiento analítico y gráfico de datos experimentales
An open access article by W. Morales González and J. E. Hernández-Ruiz: Experiencias en el uso del software LabPlot en el procesamiento analítico y gráfico de datos experimentales
\#LabPlot #Students #Research #DataAnalysis #Physics #DataVisualization #experimental #Física #Teaching #Chemistry #OpenSource #FreeSoftware
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
▶️ Total olympic medals won in Paris 2024 and Human Development Index 🏅
▶️ Total olympic medals won in Paris 2024 and Human Development Index 🏅
➡️ https://www.businesstimes.com.sg/opinion-features/what-olympic-medal-table-really-tells-us
After reading the article we made this #boxplot using #LabPlot, an open source data analysis and visualization software.
The plot doesn't provide answers, it rather invites some thinking.
\#Olympics #Olympics2024 #France #China #USA #UnitedStates #UnitedKingdom #UK #Brazil #Australia #Japan #Italy #Canada #Germany #Italy #Netherlands #DataAnalysis #DataScience #OpenSource #FOSS
You can fit data to a statistical distribution in a flash using #LabPlot
You can fit data to a statistical distribution in a flash using #LabPlot [dev 2.12 version]
➡️ https://invent.kde.org/education/labplot/-/merge\_requests/562
\#DataAnalysis #dataScience #data #Statistics #Research #Science #dataVisualization #Technology #Students #AlternativeTo #SciDavis #FreeSoftware #OpenSource
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!
We see all the replies here:
https://floss.social/@LabPlot/112915941751314965.
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:
▶️ Total olympic medals per 1k $GDP per capita - Paris 2024 - represented in the Tukey's boxplot 🏅
▶️ Total olympic medals per 1k $GDP per capita - Paris 2024 - represented in the Tukey's boxplot 🏅
Is the highest number, relative to $GDP per capita, best? Outliers marked as circles. Made in #LabPlot, an open-source data analysis and visualization software.
Edit: the problem is framed as a question.
\#Olympics #Olympics2024 #France #China #NorthKorea #USA #UnitedStates #UnitedKingdom #UK #Brazil #Australia #Japan #Italy #Canada #Germany #Spain #DataAnalysis #DataViz
▶️ LabPlot - Tutorial - Stacked Plots
▶️ LabPlot - Tutorial - Stacked Plots
Catalyst Nanomaterials Lab has published another video tutorial that shows how to create stunning stacked plots in #LabPlot. Go check it out!
https://www.youtube.com/watch?v=rZ5qYjM8FEg
\#FreeSoftware #DataAnalysis #DataVisualization #Research #OriginProAlternative #Science #Tutorial #FLOSS #FOSS #OpenSource #StackedPlots #ProbabilityDistribution #AlternativeTo #KDE #Students #Researchers #Professionals #SciDavis #Technology
The #LabPlot team is already hard working on new features. Check out our growing list of the post-v2.11 development news! 🚀 🚀 🚀 Come join us! 🙂
The #LabPlot team is already hard working on new features. Check out our growing list of the post-v2.11 development news! 🚀 🚀 🚀 Come join us! 🙂
➡️ https://discuss.kde.org/t/labplot-post-v2-11-new-features-and-development-news/19467
\#FreeSoftware #DataAnalysis #Research #Science #FLOSS #FOSS #OpenSource #Business #AlternativeTo #KDE #Students #Researchers #Professionals #SciDavis #Technology #KDE
▶️ Como instalar o editor de plotagens de #LabPlot no #Linux via #Flatpak
▶️ Como instalar o editor de plotagens de #LabPlot no #Linux via #Flatpak
➡️ https://www.edivaldobrito.com.br/como-instalar-o-editor-de-plotagens-de-labplot-no-linux-via-flatpak
\#FreeSoftware #DataAnalysis #Research #OriginProAlternative #Science #Tutorial #FLOSS #FOSS #OpenSource #Business #AlternativeTo #KDE #Students #Researchers #Professionals #SciDavis #Technology
@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.
@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.
▶️ LabPlot - A free OriginPro alternative for Researchers (Distribution Plots)
▶️ LabPlot - A free OriginPro alternative for Researchers (Distribution Plots)
Catalyst Nanomaterials Lab has published another video tutorial that shows how to create stunning distribution plots in #LabPlot. Go check it out!
➡️ https://www.youtube.com/watch?v=grnKnbPIgz8
\#FreeSoftware #DataAnalysis #DataViz #Research #OriginProAlternative #Science #Tutorial #FLOSS #FOSS #OpenSource #Business #Histogram #ProbabilityDistribution #AlternativeTo #KDE #Students #Researchers #Professionals #SciDavis
▶️ LabPlot - A free OriginPro alternative for #Researchers (Scatter Plots)
▶️ LabPlot - A free OriginPro alternative for #Researchers (Scatter Plots)
Catalyst Nanomaterials Lab has published another video tutorial that shows how to create stunning scatter plots, analyze correlations, and uncover hidden patterns in your data using #LabPlot. Go check it out!
➡️ https://www.youtube.com/watch?v=r1Fv1lAEf2c
\#FreeSoftware #DataAnalysis #DataViz #Research #OriginProAlternative #Science #Tutorial #FLOSS #FOSS #OpenSource #Business #ScatterPlot #Correlation #SciDavis #Students
▶️ LabPlot - A free OriginPro alternative for Researchers (Histogram Plotting)
▶️ LabPlot - A free OriginPro alternative for Researchers (Histogram Plotting)
Catalyst Nanomaterials Lab has published another video tutorial that reveals the secrets of creating stunning histograms in #LabPlot. Go check it out!
➡️ https://www.youtube.com/watch?v=5TGon5QZYic
\#FreeSoftware #DataAnalysis #DataViz #Research #OriginProAlternative #Science #Tutorial #FLOSS #FOSS #OpenSource #Business #Histogram #ProbabilityDistribution #AlternativeTo #KDE
The graying open source community needs fresh blood :opensource: 💉 🩸
The graying open source community needs fresh blood :opensource: 💉 🩸
https://www.theregister.com/2024/07/15/opinion\_open\_source\_attract\_devs/
We agree with the main thesis of the article. And that's one of the reasons why the #LabPlot team strongly supports the idea of mentorship of students and actively participates in such programs as the Season of KDE (SoK) or Google Summer of Code.
\#OpenSource #FOSS #FLOSS #FreeSoftware #Mentorship #KDESoK #GSoC #Development #SoftwareDevelopment #Coding #Leadership #Community #KDE
Labplot gets funding from NLnet to work on:
Labplot gets funding from NLnet to work on: ➡️ Live Data Analysis, ➡️ Python Scripting ➡️ Statistical Analysis
https://labplot.kde.org/2024/07/30/labplot-funded-through-ngio-core-fund/
\#dataanalysis #funding #statistics #data #ngi #Python #opensource #foss #freesoftware #labplot #research #engineering #nlnet
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
➡️ LabPlot - A free OriginPro alternative for Researchers (Multiple Peak Fit)
➡️ LabPlot - A free OriginPro alternative for Researchers (Multiple Peak Fit)
Catalyst Nanomaterials Lab has published another video tutorial that will show you how to fit multiple peaks in your data using #LabPlot. Go check it out!
https://www.youtube.com/watch?v=Uf34So7DbZI
\#FreeSoftware #DataAnalysis #DataViz #Research #OriginProAlternative #Science #Tutorial #FLOSS #FOSS #OpenSource #Business #BaselineCorrection #Peak #AlternativeTo #SciDavis
➡️ LabPlot - A free OriginPro alternative for Researchers (Baseline Correction)
➡️ LabPlot - A free OriginPro alternative for Researchers (Baseline Correction)
Catalyst Nanomaterials Lab has published another video tutorial that will show you how to Identify and remove unwanted baselines in your data using #LabPlot. Go check it out!
https://www.youtube.com/watch?v=nHczlEeZUZM
\#FreeSoftware #DataAnalysis #DataViz #Research #OriginProAlternative #Science #Tutorial #FLOSS #FOSS #OpenSource #Business #BaselineCorrection #AlternativeTo
➡️ LabPlot - A free OriginPro alternative for Researchers (Tutorial 1 - Download and Installation)
➡️ LabPlot - A free OriginPro alternative for Researchers (Tutorial 1 - Download and Installation)
Catalyst Nanomaterials Lab has published a video tutorial that will guide you through downloading and installing LabPlot on your system. Go check it out!
https://www.youtube.com/watch?v=s6Codrauv0g
\#LabPlot #FreeSoftware #DataAnalysis #DataViz #Research #OriginProAlternative #Science #Tutorial #FLOSS #FOSS #OpenSource #Business #AlternativeTo
The latest release of #LabPlot is here! 🚀 🙂
The latest release of #LabPlot is here! 🚀 🙂
LabPlot 2.11 comes with many new features and improvements in various areas.
Go get it! ➡️ https://labplot.kde.org/download/
Read more about the release here: ➡️ https://labplot.kde.org/2024/07/16/labplot-2-11-released/
\#DataAnalysis #DataScience #Analytics #Data #DataAnalytics #DataViz #DataVisualization #Science #Statistics #Mathematics #FOSS #FLOSS #OpenSource #KDE #Education #Business #SciDAViS
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
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 🙂