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:
➡️ https://labplot.kde.org/2021/08/11/box-plot/
➡️ https://userbase.kde.org/LabPlot/2DPlotting/BoxPlot
▶️ Total olympic medals won in Paris 2024 and Human Development Index 🏅
➡️ 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:
➡️ https://labplot.kde.org/
Video tutorials:
➡️ https://www.youtube.com/@LabPlot/videos
Any exploratory plot forms a question and your comment shows how to look for answers. Thanks!
The points are jittered along the x-axis, otherwise the data points could overlap.
Australia is the next country after Ethiopia, but it's not outlier in this case.
You can read more on boxplots here:
▶️ Total olympic medals per 1k $GDP per capita - Paris 2024 - represented in the Tukey's boxplot 🏅
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
Below is just a small sample of plots that were created with #lLabPlot.
\#LabPlot is a FREE, open source and cross-platform Data Visualization and Data Analysis software.
Would you like to share with us your plots made in LabPlot?
\#DataAnalysis #DataScience #Data #DataViz #DataVisualization #Science #Statistics #Mathematics #Math #STEM #FOSS #FLOSS #OpenSource #KDE
\#GSoC - Improve #Python Interoperability with #Labplot 🚀
\#LabPlot is a FREE, open source and cross-platform Data Visualization and Data Analysis software .
https://summerofcode.withgoogle.com/programs/2024/projects/ppM75CyZ
\#DataAnalysis #DataScience #Data #DataViz #Science #Statistics #Mathematics #Math #STEM #FOSS #FLOSS #OpenSource #KDE #Jupyter
\#GSoC - #3D #Visualization for #Labplot 🚀
\#LabPlot is a FREE, open source and cross-platform Data Visualization and Data Analysis software .
https://summerofcode.withgoogle.com/programs/2024/projects/jNXKbJXh
\#DataAnalysis #DataScience #Data #DataViz #DataVisualization #Science #Statistics #Mathematics #Math #STEM #FOSS #FLOSS #OpenSource #KDE
\#KDE will mentor ten projects in Google Summer of Code (#GSoC) this year, including two projects for #LabPlot, a FREE, open source and cross-platform #DataVisualization and #DataAnalysis software.
https://mentorship.kde.org/blog/2024-05-gsoc-2024/
➡️ Kuntal Bar (https://invent.kde.org/kuntalhere) will work on adding 3D plotting support to cater to the evolving demands of scientific research.
➡️ Israel Galadima (https://invent.kde.org/izzygala) will work on Python wrappers around the LabPlot C++ API.
📘 Season of KDE: Adding MCAP support to LabPlot by Raphael Wirth
@labplot@lemmy.kde.social @kde
➡️ https://wirthual.github.io/posts/season-of-kde/
This article describes the work done by Raphael Wirth for adding #MCAP support to #LabPlot as part of the Season of #KDE 2024.
Well done, Raphael! 👏
\#Robotics #Tech #Technology #DataAnalysis #DataScience #Data #DataViz #Science #Statistics #FOSS #FLOSS #OpenSource #FreeSoftware #Electronics #STEM
Support for #MCAP format is coming to #LabPlot 🚀🙂
\#MCAP is a standardized container file format for storing heterogeneous robotics data.
See how to read and plot #Robotics 🤖 (#Sensor) data with #LabPlot.
➡️ https://www.youtube.com/watch?v=kK5QbFi90wA
\#DataAnalysis #DataScience #Data #DataViz #Science #Statistics #FOSS #FLOSS #OpenSource #Robot #Electronics #Tech #Technology #STEM
A good news: Text alignment has been recently added to #LabPlot (dev) to make labels look better.
\#DataAnalysis #DataScience #Data #DataViz #Science #Statistics #FOSS #FLOSS #OpenSource
Our Christmas tree includes a test to check if our readers are humans 😉
Let's just assume that the Christmas tree includes a test to check if our readers are humans 🙂
Merry Christmas from the LabPlot team! 🎅 🎄
@opensource @kde \#Christmas #FOSS #FLOSS #OpenSource #KDE #LabPlot #DataScience #DataViz
What's the value of statistical life (VSL)?
@dataisbeautiful LabPlot ❤️ Data
➡️ 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 ❤️ Data
➡️ https://en.wikipedia.org/wiki/Zipf%27s\_law
\#DataAnalysis #DataScience #Data #DataViz #Visualization #Plotting #Statistics #Age #Europe #FOSS #OpenSource
Did you know that you can work with Jupyter notebooks directly in LabPlot?
For example, let's open the following notebook to see how it works in #labplot
👉 https://github.com/demotu/BMC/blob/master/notebooks/Statistics-Descriptive.ipynb
\#DataAnalysis #DataScience #Data #DataViz #Visualization #Plotting #Science #Statistics #FOSS #OpenSource #Python #Jupyter
A navigation panel in the presenter mode has landed in the development branch of #LabPlot! 🚀🙂
It allows to select, zoom and navigate plots also in the presenter mode.
\#DataAnalysis #DataScience #Data #DataViz #Visualization #Plotting #Science #Statistics #LabPlot #FOSS #FLOSS #OpenSource
A new option to quickly show descriptive statistics and plots for Notebooks' variables is coming to LabPlot.
You can use it with any of the available computational engines: #Python, #R, #SciLab, #Octave, #Maxima, #Julia and others!
👉 https://invent.kde.org/education/labplot/-/merge\_requests/419
\#DataAnalysis #DataScience #Data #DataViz #Science #Statistics #LabPlot #FOSS #FLOSS #OpenSource
The process average X and control limits are added to the plot for men. The average is 63.4. The upper control limit (UCL) is 64.8 and the lower control limit (LCL) is 62.0.
The UCL represents the largest value you would expect if you only have common causes of variation present. The LCL represents the smallest value you would expect if you only have common causes of variation present.
@dataisbeautiful !health@lemmy.world !labplot@lemmy.kde.social
@Generous1146
Actually, it looks more like the disability-free life expectancy has increased in 2015 and since then stays at about the same level.
#DataViz #Statistics #Visualization #Health #Disability #LabPlot #OpenSource #FOSS
@dataisbeautiful @health @labplot@lemmy.kde.social
According to the Eurostat, in 2021, the number of healthy life years at birth was estimated at 64.2 years for women and 63.1 years for men in the EU, this represented approximately 77.4 % and 81.7 % of the total life expectancy for women and men.
Disability-free life expectancy in the EU 27
@dataisbeautiful !health@lemmy.world !labplot@lemmy.kde.social
LabPlot ❤️ Data
\#DataViz #Statistics #Visualization #Health #Disability #LabPlot #OpenSource #FOSS #DraculaTheme
The LabPlot team is heavily working on the next release of LabPlot.
@kde @labplot@lemmy.kde.social @opensource
A few highlights of the incoming features:
👉 new plot type: Q-Q plot 👉 new plot type: Lollipop plot 👉 new plot type: KDE plot 👉 ODS import support @libreoffice 👉 more functions in the function editor 👉 extended search&replace ...and much more!
You can track the new features here: https://discuss.kde.org/t/post-v2-10-new-features-and-development-news/5807
\#DataAnalysis #DataScience #Data #DataViz #Statistics #LabPlot #FOSS #FLOSS #OpenSource
Do you know Paul F. Velleman's Fourteen Data Aphorisms for Data Analysis ❓
➡️ https://en.wikipedia.org/wiki/Paul\_F.\_Velleman
1/ Let's read carefully and think about the first of the aphorisms.
What does it mean to you ❓
\#Aphorism #DataAnalysis #DataScience #Data #DataViz #Science #Statistics #LabPlot #FOSS #FLOSS #OpenSource
Do you know the Feynman-Tufte Principle?
The principle states that: a visual display of data should be simple enough to fit on the side of a van.
Before making any costly improvements to your car, we recommend first testing your visual displays with the Tufte theme in @LabPlot, an open source Data Visualization and Analysis software.
➡️ https://www.scientificamerican.com/article/the-feynman-tufte-princip/
Photo credit, Michael Kindig.
\#DataViz #Plotting #FLOSS #FOSS #OpenSource \#LabPlot #Design #DataScience
Do you know that you can learn how to easily graph functions with the FREE and open-source LabPlot in less than 5 minutes?
👉 Just watch this short video tutorial 👉 Like, Comment, Share and Subscribe
https://tube.kockatoo.org/w/rALKFDeCxpMUxaCVeTunAi
\#FOSS #FLOSS #OpenSource #FreeSoftware #LibreSoftware #GNU #KDE #Software #Graph #Plot #Math #Function #Visualization #STEM #Education #Tutorial #LabPlot
If you are interested, please see also this thread on the importance of visualizing data (the Anscombe's quartet, Simpson's paradox are also included in @LabPlot):
https://mstdn.social/@onemoment/109692198312380103
#Anscombe #SimpsonsParadox #DatasaurusDozen #Visualization #DataViz
We agree. But still, a question is just a question, and you can always refine your questions.
Matejka, J., & Fitzmaurice, G. (2017). Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.
BTW, the Datasaurus Dozen example is already available in @LabPlot via File > Open Example.
For example: Tonga, Samoa, Kiribati, Nauru with electricity consumption per capita (the median) 548 kWh.
LabPlot @floss.social \#LabPlot is a #FREE, #OpenSource and #CrossPlatform #DataVisualization and #DataAnalysis #Software #Accessible to everyone. JOIN US!
• High-quality #DataViz and #Plotting • Reliable and easy #DataAnalysis and #Statistics, • #Computing with Interactive #Notebooks (#Python #R #Julia #Octave #Maxima #Scilab #Sage #Lua) • Effortless #DataExtraction from #plots and support for #LiveData • Smooth Data #Import and #Export (multiple formats) • Available for #Windows, #macOS, #Linux, #FreeBSD and #Haiku