@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: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 @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:
π 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:
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 @labplot@lemmy.kde.social
#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
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#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!
@labplot@lemmy.kde.social @opensource @libre_software @privacy
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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
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:
β‘οΈ https://labplot.kde.org/2021/08/11/box-plot/
β‘οΈ https://userbase.kde.org/LabPlot/2DPlotting/BoxPlot
βΆοΈ Total olympic medals won in Paris 2024 and Human Development Index π
β‘οΈ 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
We used #LabPlot, a free, open source and cross-platform data visualization and analysis software.
LabPlot's homepage:
β‘οΈ https://labplot.kde.org/
Video tutorials:
β‘οΈ https://www.youtube.com/@LabPlot/videos
βΆοΈ Total olympic medals per 1k $GDP per capita - Paris 2024 - represented in the Tukey's boxplot π
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
Merry Christmas from the LabPlot team! π π
@opensource @kde
#Christmas #FOSS #FLOSS #OpenSource #KDE #LabPlot #DataScience #DataViz
What's the value of statistical life (VSL)?
@dataisbeautiful
LabPlot β€οΈ Data
β‘οΈ https://en.wikipedia.org/wiki/Value_of_life
#DataAnalysis #DataScience #Data #DataViz #Visualization #Plotting #Statistics #Life #Risk #Safety #Security
#USA #USDA #FOSS #OpenSource #FLOSS #VSL
Using Zipf's Law to detect outliers in median age of European Countries in #LabPlot (2023 est.)
LabPlot β€οΈ Data
β‘οΈ https://en.wikipedia.org/wiki/Zipf%27s_law
#DataAnalysis #DataScience #Data #DataViz #Visualization #Plotting #Statistics #Age #Europe #FOSS #OpenSource
@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.