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#labplot

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@blindbunny

#LabPlot isn't exactly an open-source #MATLAB, but it is a an open-source and cross-platform tool for visualizing and analyzing data.

It focuses on creating interactive scientific plots and offers features like curve fitting, Fourier and Hilbert transforms, data manipulation, and live data support.

Computing with e.g. #Python, #R, #Maxima is also possible with interactive notebooks available in LabPlot.

You can see a list of LabPlot features here:
➡️ labplot.org/features

labplot.orgFeatures – LabPlot

We’re announcing the 2.12.1 minor patch release of #LabPlot with small improvements and bug fixes. :boost_love: 🚀

labplot.org/2025/08/18/labplot

We recommend everybody update to this patch release which is available from our download page:

labplot.org/download/

New features and enhancements are coming in the next major release. Stay tuned!

#FLOSS #FOSS #OpenSource #DataAnalysis #DataViz #Science #Statistics #Research #NLNet

@labplot@lemmy.kde.social @opensource @alternativeto @omgubuntu @9to5linux @NGIZero

Prawo Benforda, znane również jako prawo pierwszej cyfry, może być użytecznym narzędziem w wykrywaniu anomalii.

Rozkład liczb w wynikach R. Trzaskowskiego w komisjach wyborczych w drugiej turze wyborów prezydenckich w Polsce nie przypomina rozkładu Benforda.

Continued thread

Wykorzystanie prawa Zipfa do identyfikacji wartości odstających w drugiej turze wyborów prezydenckich w Polsce.

Nietypowe są wartości odbiegające od liniowej linii trendu. Jest 1260 komisji, dla których wartość zarejestrowanych głosów na R. Trzaskowskiego jest nietypowa.

Zipf's law used to identify outliers in the second round of Poland's presidential election.

In this example outliers are values that deviate from a linear trend line. There are 1260 district election committees for which the number of registered votes for R. Trzaskowski is unexpected.

#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.org/2025/04/28/labplot

@labplot@lemmy.kde.social @9to5linux @omgubuntu

#OpenSource

#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! :boost_love:🚀

@opensource @openscience @alternativeto @9to5linux @omgubuntu

➡️ youtube.com/watch?v=Ngf1g3S5C0

#LabPlot at the service of #science and #researchers!

@labplot@lemmy.kde.social

Boosts appreciated! :boost_love:🚀

We're pleased to know that #LabPlot was used in this recent study on ceftazidime-avibactam (CZA) tolerance/persistence:

▶️ link.springer.com/article/10.1

SpringerLinkCeftazidime-avibactam tolerance and persistence among difficult-to-treat KPC-producing Klebsiella pneumoniae clinical isolates from bloodstream infections - European Journal of Clinical Microbiology & Infectious DiseasesPurpose Tolerance and persistence occur “silently” in bacteria categorized as susceptible by antimicrobial susceptibility testing in clinical microbiology laboratories. They are different from resistance phenomena, not well-studied, and often remain unnoticeable. We aimed to investigate and characterize ceftazidime-avibactam (CZA) tolerance/persistence in 80 Klebsiella pneumoniae isolates from bloodstream infections. Methods We used the Tolerance Disk Test (TDtest) to detect CZA tolerance/persistence and investigate the avibactam (AVI) influence on them, and time-kill assays with minimal duration for killing (MDK) determination to characterize/differentiate CZA tolerance from persistence, for selected isolates. Whole genome sequencing was performed for 49/80 selected isolates to investigate genes related to beta-lactam tolerance/persistence and resistance as well as phylogeny studies. Results Tolerance/persistence to CZA was detected in 48/80 (60%) isolates, all extensively drug-resistant (XDR) or multidrug-resistant, carbapenem-resistant K. pneumoniae (CRKp), KPC producers, and previously categorized as susceptible (not resistant) to CZA. No heteroresistance was detected. CZA tolerance/persistence occurred due to ceftazidime tolerance/persistence and was not related to AVI in the CZA combination. 5/11 isolates were characterized as CZA-tolerant and 5/11 as CZA-persistent. The single (1/11) XDR and CRKp non-KPC producer was truly susceptible. All the CZA-tolerant/persistent isolates (ST11, ST258, ST340, ST437, ST16, ST17, and ST307) harbored the carbapenemase-encoding gene blaKPC−2. Mutation in only two genes (rpoS and degQ) related to beta-lactam tolerance/persistence was found in only 7/49 CZA-tolerant/persistent isolates, suggesting the presence of yet unknown beta-lactam tolerance/persistence genes. Conclusion Among the K. pneumoniae bloodstream isolates studied, 60%, previously categorized as susceptible to CZA, were, actually, tolerant/persistent to this antibiotic, all these KPC producers.