#LabPlot, the project for #statisticians, #researchers, #scientists, #engineers, #educators and #students, publishes version 2.12 of its #FREE comprehensive #dataAnalysis and #visualization tool. 
This version adds more plots and #plot sub-types, expands the number of functions for spreadsheets, includes new analysis tools, as well as an experimental software development kit.
The project is partly funded through @NGIZero.
Labplot 2.12.0 released for Haiku (32bit and 64bit), now available for install.
@opensource @labplot@lemmy.kde.social
Did you know that #LabPlot is listed in the French Interministerial Free Software Catalog as one of the recommended free applications for #French public agencies?
https://code.gouv.fr/sill/detail?name=LabPlot
Keywords : Graphique scientifique, visualisation de données, traitement de données, analyse de données, statistiques, courbes
@labplot@lemmy.kde.social @dataisbeautiful
The XmR chart, made in #LabPlot [2.12dev], of the count of #Nobel Prizes in #Physics awarded in the years 1900-2024.
A single point falling outside the computed control limits should be interpreted as an indication of an assignable cause exerting a dominant effect on the process.
![The XmR chart made in #LabPlot [dev 2.12] of the count of #Nobel Prizes in #Physics](https://cdn.masto.host/floss/media_attachments/files/114/359/726/703/305/925/original/d78243939316d56b.png "The XmR chart made in #LabPlot [dev 2.12] of the count of #Nobel Prizes in #Physics")
Here are some example screenshots of #Origin projects (#OPJ) imported into #LabPlot.
You can see more screenshots of imported Origin projects here: https://invent.kde.org/education/labplot/-/wikis/Import/OPJ
@LabPlot at the service of #science and #researchers! 
@labplot@lemmy.kde.social @opensource
#LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software.
We're happy to know that #LabPlot was used in this recent study on the process of upcycling sorbents into high energy content supercapacitors:
https://www.sciencedirect.com/science/article/abs/pii/S0021979725008720
Thank you for your interest in LabPlot.
LabPlot allows importing Origin project files. A list of LabPlot's features is available on the project website: https://labplot.org
You can also check the available video tutorials: https://www.youtube.com/@LabPlot/videos https://www.youtube.com/watch?v=kVT5aKx8xg0&list=PLuLdYJVi3HfvJfu5USh2XBJ6DsPPmQzHJ
A new version (2.12) is to be released very soon. If you want, you can also check a development version that includes many new features.https://labplot.org/download/
Anyone there with experience on Labplot vs OriginLab and compatibility of the two (esp. Labplot’s ability to read OriginLab files) ??
#originlab #labplot #kde_labplot #labplot2 #physics #optics #photonics
Some benefits of #LabPlot:
an interactive environment with a graphical user interface, ease of use for non-programmers, built-in tools for data analysis, statistics, regression, and curve fitting, platform integration that may offer a better experience than running Python scripts, possibility to run #Python, #Maxima, #R, #Octave and other languages inside LabPlot's computational notebooks.
Take a look at LabPlot's features:
An example analysis of a #learning process with #LabPlot dev (P-chart).
@labplot@lemmy.kde.social @opensource
The process is off the target and has large variation. Variation always creates costs. The point outside the limits is evidence that assignable causes with dominant effects are present and the process will behave UNPREDICTABLY.
'With an unpredictable process, PREDICTION IS FUTILE, but action may be taken to move the process closer to its full potential.' D.J. #Wheeler
Today I posted my first "Issue" / Bug Report to the amazing #FreeSoftware data analysis tool, #LabPlot . I am using it on Windows at work, to make nice graphs for my classes, and try to push it as hard as possible, to discover issues, and be able to make suggestions to improve usability.
So, I hope the issue I found will help the team improve the product, and I hope I will be able to give useful feature suggestions based on my experience.
@LabPlot at the service of #science and #researchers!
@labplot@lemmy.kde.social @opensource @openscience @organic_chemistry @ChemistryViews
#LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software.
We're pleased to know that #LabPlot was used to perform calculations in this recent study on robust access to furo-fused #heteropolycycles:
Is the number of new posts published on @Mastodon 
growing or is it stable in the last few months?
How to visualize #server #metrics in #RealTime via #TCP in @LabPlot ?
@labplot@lemmy.kde.social @sysadmin@lemmy.world @sysadmin@lemmy.ml @cybersecurity
The purpose of this simple tutorial is not to position #LabPlot against dedicated applications, but rather to show how its "Live Data" functionality can be used to read and visualize data in real time.
https://docs.labplot.org/en/tutorials/live_data/tutorials_live_data_server_monitoring_via_tcp.html
@europesays @UnitedStates @labplot@lemmy.kde.social @dataisbeautiful
Has the #FertilityRate in the #US been stable over the past two decades? And how does it compare to the #EU?
Boosts appreciated! 
Has the #FertilityRate in the #EuropeanUnion been stable over the past two decades?
A simple #XmR chart available in @LabPlot [2.12dev] can be used to track the stability of any process.
Boosts appreciated!
https://en.wikipedia.org/wiki/Shewhart_individuals_control_chart
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
#LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone. In LabPlot your #data is yours alone!
In this short video you can learn how to quickly import your data into #LabPlot and visualize it.
Boosts appreciated!
@opensource @openscience @alternativeto @9to5linux @omgubuntu
Seven simple questions for #DecisionMakers:
How big? How much? How many?
Compared to what?
Why not a rate?
Per what? The diabolical denominator.
How were things defined, counted or measured?
What was taken into account (what was controlled for)?
What else should have been taken into account (controlled for)?
#LabPlot Team Loves #FreeSoftwareDay! 
@fsfe
@opensource @libre_software @libre_culture
Boosts appreciated!
