@bigpEE in LabPlot you have a great control of graphing but your case is very specific and you'll still need some scripting to automate this workflow.
In LabPlot we allow to use the data analysis and graphing routines in external C++ applications via our SDK as described in https://docs.labplot.org/en/sdk.html.
#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.
Thank you for your comment. For these types of charts describing variation in data, which also include upper and lower limits on the values that contain probable noise, not using 0 at the start on the y-axis makes sense, as it makes it easier to analyze this variation and detection of potential signals.
We believe that Howard Wainer certainly would not recommend blindly applying this principle to all cases.
Let us reply by quoting Howard Wainer. In his well-known paper "How to Display Data Badly" he wrote:
"A second way to hide the data is in the scale. This corresponds to blowing up the scale (i.e., looking at the data from far away) so that any variation in the data is obscured by the magnitude of the scale. One can justify this practice by appealing to "honesty requires that we start the scale at zero," or other sorts of sophistry."
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.
@bigpEE in LabPlot you have a great control of graphing but your case is very specific and you'll still need some scripting to automate this workflow.
In LabPlot we allow to use the data analysis and graphing routines in external C++ applications via our SDK as described in https://docs.labplot.org/en/sdk.html.
For the next release we'll have Python bindings for this SDK and Python scripting within the application itself. You can check https://israelsgalaxy.hashnode.dev/gsoc24-final-blog-post to see what will become possible soon.
@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:
➡️ https://labplot.org/features
@coucouf @europesays @labplot@lemmy.kde.social @dataisbeautiful
Thank you for your comment. For these types of charts describing variation in data, which also include upper and lower limits on the values that contain probable noise, not using 0 at the start on the y-axis makes sense, as it makes it easier to analyze this variation and detection of potential signals.
We believe that Howard Wainer certainly would not recommend blindly applying this principle to all cases.
@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! :boost_love:🚀
#Europe #Future #EU #Europa #Fertility #Politics #Healthcare #Health #BirthRate #Demography #Population #Biology #News #Community #Statistics #FreeSoftware #OpenSource #ControlChart #LabPlot #Data #dataViz #USA #America #Trump #Musk
@coucouf @europesays @labplot@lemmy.kde.social @dataisbeautiful
Let us reply by quoting Howard Wainer. In his well-known paper "How to Display Data Badly" he wrote:
"A second way to hide the data is in the scale. This corresponds to blowing up the scale (i.e., looking at the data from far away) so that any variation in the data is obscured by the magnitude of the scale. One can justify this practice by appealing to "honesty requires that we start the scale at zero," or other sorts of sophistry."
@hanscees @kde @europesays @dataisbeautiful @labplot@lemmy.kde.social
Thank you for your comment. We are just following the definition of the fertility rate by the World Bank Group:
👉 https://data.worldbank.org/indicator/SP.DYN.TFRT.IN?locations=EU
@europesays @labplot@lemmy.kde.social @dataisbeautiful
Simply asking two primary questions to guide any analysis will lead to a better understanding of variation and more effective decision making:
1️⃣ Is the process currently stable?
2️⃣ Based on this knowledge, what type of action makes sense?
👉 https://healthleadsusa.org/wp-content/uploads/2018/10/understanding-variation26-years-later.pdf
In this paper Thomas Nolan, Rocco J. Perla and Lloyd Provost explain why correctly assessing #variation is fundamental to sound decisions.
#DecisionMaking #Politics #Data #Business #News
@opensource @dumnezero
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
@IanSudbery @programming
Assuming a steady flow of bugs of the same kind, we share the same line of reasoning.
@labplot@lemmy.kde.social
#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
@kde
To whom from the KDE community should we forward this question?
@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.
@clutchtwopointzero
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
@labplot@lemmy.kde.social
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
@architectonas
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
@Eheran
Great question! And what's _your_ answer?
@Sconrad122
Any exploratory plot forms a question and your comment shows how to look for answers. Thanks!
@Eheran
We see all the replies here:
https://floss.social/@LabPlot/112915941751314965.
@smeg
The points are jittered along the x-axis, otherwise the data points could overlap.