iiinova — where your digital self keeps evolving

Lukas Schmoigl @schmoigl.bsky.social · 18/03/2026

CO₂ footprint of Austrian households by income deciles. An isotype visualization inspired by Marie & Otto Neurath. Made together with @kalf.bsky.social. 🔗 data-science.wifo.ac.at/emissionen-u... #DataViz #Isotype #CarbonFootprint #Inequality

Isotype chart comparing CO₂ emissions across Austrian income deciles. Each icon represents 500 kg CO₂ per person per year. Rows of colored icons are grouped by consumption category — including mobility, housing, and services — for a selected lower income decile and the richest 10%. The richest decile shows substantially more icons across all categories. A second chart below displays total emissions per decile using chimney-shaped icons.

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Baptiste Coulmont @coulmont.bsky.social · 02/03/2026

Pas simple de reproduire les petites erreurs d'alignement de la version 1878 en 2026. Un décalage des "breaks" de scale_x_continuous(), une rotation imperceptible du g$grobs[[panel_index]] … Et ça ne se voit que si on regarde bien ;-)

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Lukas Schmoigl @schmoigl.bsky.social · 05/03/2026

ISOTYPIFY Your Data — I made an easy to use function + webinterface to create an ISOTYPE chart with Observable/Quarto/D3! Webinterface: schmoigl.github.io/isotypify/ Observable: observablehq.com/@schmoigl/is... #dataviz #observable #isotype #d3js

Screenshot of the Isotypify web editor showing two panels: on top, a grid of interactive controls including sliders for number of rows, figures per row, cell width, cell height, and glyph size, plus color pickers and text fields for two data rows labeled "Group A" (75% highlighted) and "Group B" (45% highlighted). Below the controls, the resulting isotype chart displays two rows of small human figure glyphs — the highlighted figures in green and orange respectively, the remainder in a light beige — arranged in a grid, with row labels and percentage annotations on the left.

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WIFO @wifo.bsky.social · 18/12/2025

#BreakingNews: "Österreichs Wirtschaft sieht Licht am Ende des Tunnels. 2025 wächst das BIP um 0,5%. 2026 sollten es 1,2% und 2027 1,4% werden." @gfelbermayr.bsky.social 1/12 www.wifo.ac.at/news/oester...

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Michael Friendly @datavisfriendly.bsky.social · 14/12/2025

#TodayinHistory #dataviz #Onthisday #OTD 📊 💀Dec 13, 1900 Michael George Mulhall died in Dublin, Ireland 🇮🇪 1884: 1st? use of a pictogram, to represent data by icons proportional to a number The train one is accurate; the wheel one commits the area illusion, using diameter to represent the number

Capital employed in 1882 in France, UK and US, portrayed by trains whose length is ~ to the number

Pictograms displaying Steam power (top) and horsepower per 1000 inhabitants by wheels whose diameter is proportional to the number represented, committing a graphical sin

Photo of Michael Mulhall looking to his right and wearing a long beard

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Information is Beautiful @infobeautiful.bsky.social · 06/11/2025

Now this is how you detect whether an election was stolen. Humans choose rounder numbers. by @TheEconomist

A scatter plot titled "Fair and square? Russian federal elections, 2000-21" which visualizes the results of Russian federal elections. The x-axis represents voter turnout in percentage, ranging from 0 to 100%. The y-axis represents the percentage of votes for Putin, Medvedev, or the United Russia party, also ranging from 0 to 100%. Each dot on the plot represents a polling station. A cluster of dots appears in the upper right corner, indicating high voter turnout and a high percentage of votes for the specified candidates. A dashed rectangle highlights a grid-like pattern of dots at numbers ending in zero and five, with an annotation suggesting this pattern indicates potential foul play. The source is cited as Kobak and Shpilkin (2021).

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Matthias Schnetzer @matschnetzer.bsky.social · 06/11/2025

🚨 Wir schreiben den 1. Marie Neurath Preis für Datenvisualisierung aus! Alle Infos hier: wien.arbeiterkammer.at/neurath Prämiert werden 3 Visualisierungen mit Fokus auf Verteilungsfragen. Wir freuen uns auf viele Einreichungen!

wien.arbeiterkammer.at

Marie Neurath Preis für Datenvisualisierung

Die AK Wien schreibt 2025 erstmals den Marie Neurath Preis für Datenvisualisierung aus.

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John Alexis Guerra Gomez @johnguerra.bsky.social · 02/11/2025

My #IEEEVIS 2025 paper explorer is live! 🎉 👉 johnguerra.co/viz/ieeevis2... 👈 An interactive #dataviz to explore 300+ papers by similarity. Perfect for: ✨ Discovering papers related to your interests ✨ Planning which sessions to attend ✨ Creating your own paper list (new!) Pls help me distribute it

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Patrick Stotz @patrickstotz.bsky.social · 08/10/2025

Some beautiful Datawrapper hacks from our article on the MSCI World. And yes, technically those are custom choropleth maps 😀 #dataviz www.spiegel.de/wirtschaft/s...

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Information is Beautiful @infobeautiful.bsky.social · 02/10/2025

It's fun to learn how to create impactful #infographics & data-visuals like this. 2 x virtual half days: 15th & 16th Oct 🇺🇸 USA timezone 11th & 12th Nov 🇬🇧 UK/EU/AUS In-person Mon 13th Oct London 🇬🇧 Details geni.us/WAB2024 Reviews geni.us/WABreviews

A playful scatterplot (using dog silhouettes instead of dots) depicts the best dog, according to data. On the vertical axis is a measure of public popularity. On the horizontal is an indexed score of several metrics to consider when owning a dog (cost, temperament, no. of genetic ailments etc). Each dog is coloured by category (sport, toy, hound etc) and sized (S, M, L). If a dog is facing left, it's kind of a dumb dog. If it's facing right, it's an intelligent dog.

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Lukas Schmoigl @schmoigl.bsky.social · 02/10/2025

For today's chartle I had to reconsult one of my older maps: observablehq.com/@schmoigl/wi... chartle.cc #chartle #eurostat-map

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Paul Franz @paul-franz.com · 22/09/2025

A new daily puzzle game that asks you to guess what country the chart line represents - super fun for all my #dataviz peeps out there. (h/t @wwb099.bsky.social) chartle.cc

chartle.cc

Chartle - A daily chart game

Guess the country in red by analysing today's chart

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WIFO @wifo.bsky.social · 26/06/2025

#BreakingNews: Nach zwei Jahren der Rezession (jeweils -1,0%) wird das BIP laut #WIFO-Prognose 2025 stagnieren und erst 2026 zulegen (+1,2%). ‪@gfelbermayr.bsky.social‬ Mehr: www.wifo.ac.at/news/oester... 1/13

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Franz Sinabell @franzsinabell.bsky.social · 17/04/2025

Ojeh - das sieht heuer nicht gut aus. Zu wenige Niederschläge 🌧️ in großen Teilen der 🇪🇺. drought.emergency.co... Interessanterweise sind die Preiserwartungen noch moderat (preise.agrarforschun...)

https://drought.emergency.copernicus.eu/tumbo/edo/map/

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Franz Sinabell @franzsinabell.bsky.social · 20/03/2025

Wo lebt es sich in 🇦🇹 am besten? Natürlich zu Hause. Wo sonst. Wie sind die materiellen Lebensbedingungen dort? Das beantwortet der @wifo.bsky.social -Lebenssituationsindex. Von @schmoigl.bsky.social perfekt in Szene gesetzt. Tipp: scrolle nach unten für alle Details ➡️ data-science.wifo.ac...

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Lukas Schmoigl @schmoigl.bsky.social · 19/03/2025

A bit late to the Closerread party but here you go: 🔗 data-science.wifo.ac.at/Lebenssituat...

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WIFO @wifo.bsky.social · 19/03/2025

#WIFO-Lebenssituationsindex von @franzsinabell.bsky.social & Julia Bock-Schappelwein gibt Einblick in materielle Lebensumstände & lässt damit Rückschlüsse auf Lebenssituation in 2.115 Wohngemeinden in 🇦🇹 zu. www.wifo.ac.at/news/so-leb... Interaktive Geschichte im 🧵 lesen @schmoigl.bsky.social 1/9

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Lukas Schmoigl @schmoigl.bsky.social · 17/03/2025

The EU Revenue Galaxy 🪐 Where does the EU budget come from? My contribution to the Other Revenue project for the EU Parliament, exploring the different sources of EU funding. 🔗 data-science.wifo.ac.at/other-revenu...

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Lukas Schmoigl @schmoigl.bsky.social · 31/12/2024

My year in #dataviz part VI 👵🏻 Visualizing the gender pension gap in Austria ↓

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Lukas Schmoigl @schmoigl.bsky.social · 30/12/2024

My year in #dataviz part V 🌊 The 2024 flood in Austria. What where the damages? Flash estimates based on the affected area. www.wifo.ac.at/en/institute...

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WIFO @wifo.bsky.social · 20/12/2024

#BreakingNews: "Die wirtschaftspolitische Unsicherheit in Österreich ist hoch. Im Prognosezeitraum ist mit erheblichen Einsparungen in den öffentlichen Haushalten zu rechnen, deren Auswirkungen derzeit nicht abschätzbar sind", so @gfelbermayr.bsky.social. 1/13 ow.ly/YMJw50UtZsk

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Christine Mayrhuber @cmayrhuber.bsky.social · 13/12/2024

Heute jährt sich zum 74. Mal der Todestag des #Mathematikers und #Statistikers Abraham Wald. Der „Wald-Test“ ist zentraler Bestandteil jeder #Statistiksoftware. Er arbeitete von 1933-1938 am Österreichischen Konjunkturforschungsinstitut (heute #WIFO), 1938 musste er fliehen.

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Lukas Schmoigl @schmoigl.bsky.social · 16/12/2024

My year in #dataviz part IV 🔃 Visualizing the trade flows of EU member states: www.wifo.ac.at/en/research/...

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Michael Friendly @datavisfriendly.bsky.social · 12/12/2024

#TodayinHistory #dataviz #Onthisday #OTD 📊 📅Dec 12, 1854 John Snow reports on the cholera outbreak that occurred in London in 1854 to the Cholera Inquiry Committee [Gilbert:1958; Snow:1855]

Photo portrait of John Snow sitting in a chair, with an inlaid image of his iconic map of cholera in the upper left corner

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Lukas Schmoigl @schmoigl.bsky.social · 11/12/2024

My year in #dataviz part III 👷‍️ How effective are different labor market subsidies in integrating the unemployed back into the workforce? Here's an overview based on a WIFO study: www.wifo.ac.at/en/research/...

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Lukas Schmoigl @schmoigl.bsky.social · 10/12/2024

My year in #dataviz part II 📉 The FIW Trade Indicator. Monitoring current developments in Austrian foreign trade for the Research Center for International Economics (FIW): www.fiw.ac.at/fiw-trade-in...

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Lukas Schmoigl @schmoigl.bsky.social · 10/12/2024

My year in #dataviz part I 🌽 How dependent is Austria on fertilizer imports? The unmet demand for nitrogen fertilizers for crop production on a regional level: www.wifo.ac.at/en/research/...

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Lukas Schmoigl @schmoigl.bsky.social · 25/11/2024

Annotating charts with faces. Is it too much? ↓ appetizingdata.com/2024/11/24/t... (original idea by @wardqnormal.bsky.social)

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Andrew Heiss @andrew.heiss.phd · 22/11/2024

From the archives: Have you (like me!) wondered what the ATT means and how it's different from average treatment effects? I use #rstats to explore why we care about (and how to calculate) the ATE, ATT, and ATU #polisky #episky #econsky www.andrewheiss.com/blog/2024/03...

Mirrored histogram showing “weird” parts of the population: treated people who were unlikely to be treated, and untreated people who were likely to be treated

Mirrored histogram showing pseudo-populations of treated and untreated people that have been reweighted to be more comparable and unconfounded

Table showing potential and realized outcomes for 9 simulated people

Before we calculate these different treatment effects with the realized outcomes instead of the hypothetical potential outcomes, let's look really quick at the practical difference between the true ATE, AT 1, and ATU. All three estimands are useful for policymaking!
The ATE is -15, implying that mosquito nets cause a 15 point reduction in malaria risk for every person in the country. This includes people who live at high elevations where mosquitoes don't live, people who live near mosquito-infested swamps, people who are rich enough to buy Bill Gates's mosquito laser, and people who can't afford a net but would really like to use one. If we worked in the Ministry of Health and wanted to know if we should make a new national program that gave everyone a free bed net, the overall reduction in risk is -15, which is probably pretty good!
The ATT is -16.29, which is bigger than the ATE. The effect of net usage is bigger for people who are already using the nets. This is because of underlying systematic reasons, or selection bias. Those using nets want to use them because they need them more or can access them more easily-they might live in areas more prone to mosquitoes, or they can afford to buy their own nets, or something else. They know themselves and understand some notion of their personal individual causal effect and seek out nets. If we removed access to their nets, it would have a strong effect.
The ATU is -13.63, which is smaller than the ATE. The effect of net usage is smaller for people who aren't using the nets. Again, this is because of selection bias. Those not using nets are likely not using them for systematic reasons-they live far away from mosquitoes, they've received a future malaria vaccine, they have some other form of mosquito abatement, or something else. Because they can read their own minds, they know that mosquito net use won't do much for them personally, so they don't seek out nets. If we expanded access to nets to them, they wouldn't benefit

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Lukas Schmoigl @schmoigl.bsky.social · 22/11/2024

The gender pension gap in Austria: How are the gross pensions of men and women distributed? The differences are enormous for current cohorts. 1/5 data-science.wifo.ac.at/AK-Pensionsf...

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Lukas Schmoigl @schmoigl.bsky.social · 19/11/2024

Something I created for my machine learning students: an interactive tool that visualizes the relationship between the cut-off point, the confusion matrix, and the ROC and PR curves: data-science.wifo.ac.at/lecture-note...

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