@[email protected] @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.
#DataViz #Statistics #DataAnalysis #Science #OpenSource #Data #FOSS #FLOSS #FreeSoftware #XmR #Shewhart #Deming #ControlChart #Visualization #ContinualImprovement
An example analysis of a #learning process with #LabPlot dev (P-chart).
@[email protected] @opensource
π The process is off the target and has large variation. Variation always creates costs.
π 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
@coucouf @europesays @[email protected] @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 @[email protected] @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:π
#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 @[email protected] @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 @[email protected]
Thank you for your comment. We are just following the definition of the fertility rate by the World Bank Group:
π https://data.worldbank.org/indicator/SP.DYN.TFRT.IN?locations=EU
@europesays @[email protected] @dataisbeautiful
Simply asking two primary questions to guide any analysis will lead to a better understanding of variation and more effective decision making:
1οΈβ£ Is the process currently stable?
2οΈβ£ Based on this knowledge, what type of action makes sense?
π 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.
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! :boost_love:π
β‘οΈ https://en.wikipedia.org/wiki/Shewhart/_individuals/_control/_chart
@europesays @dataisbeautiful @[email protected]
#Europe #Future #EU #Europa #Fertility #Politics #Healthcare #Health #BirthRate #Demography #Population #Biology #News #Community #Statistics #FreeSoftware #OpenSource #ControlChart #LabPlot #Data #dataViz
It depends on the expected functionality. You can check the existing features here:
β‘οΈ https://labplot.org/features
We are currently working on expanding #LabPlot's functionality in these areas:
βΆοΈ Live Data Analysis
βΆοΈ #Python Scripting
βΆοΈ Statistical Analysis
βΆοΈ Quality Improvement Charts
#LabPlot Team Loves #FreeSoftwareDay! β€οΈ
@fsfe
@opensource @libre_software @libre_culture
Boosts appreciated! :boost_love:
#FreeSoftware #OpenSource #FOSS #FLOSS #Math #Mathematics #DataViz #DataAnalysis #Science #Research #Love #ILoveFS #KDE #ValentinesDay #SoftwareLibre #Software
Today is the Data Privacy (Protection) Day! So let us remind you that in #LabPlot, an open-source data analysis and visualization software, Your Data is Yours!
@[email protected] @opensource @libre_software @privacy
Boosts appreciated! π :boost_love: π
#DataSecurity #DataProtection #DataPrivacy #Privacy #Ownership #InfoSec #DataAnalysis #DataScience #Analytics #Data #DataAnalytics #DataViz #FOSS #FLOSS #SoftwareLibre #OpenSource #OpenScience #Science #Engineering #KDE #Business #Security #Orwell
Assuming a steady flow of bugs of the same kind, we share the same line of reasoning.
SAME STATS, DIFFERENT IMPROVEMENTS
After 12 months of managing #bugs, #developers A, B, and C changed their approach.
Assuming a steady flow of bugs of the same kind, whose change is an improvementβ
Boosts appreciated! π :boost_love:
More generally, the problem is domain independent.
#OpenSource #FreeSoftware #FOSS #FLOSS #Software #Tech #Development #Engineering #Business #Improvement #Software #Programming #Python #InfoSec #Statistics #Linux
The German team is certainly at the top. π
β‘οΈ https://l10n.kde.org/stats/gui/trunk-kf6/team/
β‘οΈ https://l10n.kde.org/stats/gui/trunk-kf6/team/de/
#LabPlot is now also fully available in Ukrainian and French! Thank you β€οΈπ
The following translations still need some work... And other languages need a bit more work π
@IrritableOcelot
Thank you for your feedback. Have a look at LabPlot's features, esp. the section on data analysis and statistics. More to come soon.
β‘οΈ https://labplot.org/features