iiinova — where your digital self keeps evolving

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Jacob Aron @jjaron.bsky.social · 17/08/2026

Intellectually I know this, but seeing it on a graph makes me wince www.ft.com/content/ec59...

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Alberto Cairo @albertocairo.com · 16/08/2026

In early September we'll resume releasing courses through the Open Visualization Academy openvisualizationacademy.org Two of the new releases are already announced: @alyssafowers.bsky.social's amazing 'Visualizing Loss and Tragedy', and my own new elementary tutorial, 'Tidy Data, Tidy Infographics'.

Screenshots of the two upcoming courses announced in my post. They show the titles, author names, and two abstract illustrations based on their content

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PowerBI.tips @powerbitips.bsky.social · 11/08/2026

550 - Tableau's community gallery is one of the most vibrant in the data world, and Microsoft has nothing that comes close. The hosts break down the gap. youtu.be/itGh4f4KQuM

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Ben @dataferrytales.bsky.social · 04/08/2026

Did the person who built the Fabric Capacity Metrics report actively hate data visualisation, and was the result an intentional hate crime against people who care about user friendly report design?

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Alex Power[s] @itsnotaboutthecell.com · 06/08/2026

Watch and discuss please.

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Simon Kuestenmacher @simongerman600.bsky.social · 04/08/2026

Boink! Many more uncontrolled objects re-enter Earth's atmosphere compared to a decade ago. Source: www.reddit.com/r/dataisbeau...

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Jeff “Now I am become AI Slop” Weir @insightsmachine.bsky.social · 29/07/2026

...but rather you want to encase the coalesce stuff in brackets thus in order to get the desired result: = Table.AddColumn(#"Reordered Columns1", "Variance", each ([Component Amount]??0) - ([Prev Amount]??0) )

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Dr. Dominic Royé @drxeo.eu · 25/06/2026

🚀 Nueva app: temperaturas diarias en España 🇪🇸🌡️ Estoy encantado de compartir mi última app: 👉 bioclim-mbg.shinyapps.io/spain-daily-... Permite explorar de forma interactiva las temperaturas diarias en España. #dataviz #clima #oladecalor

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Clara Murray @claradoodle.bsky.social · 22/06/2026

New 🦾: Did Anthropic talk its way into an AI export ban? I found the company talked about risk, regulation and restrictions eight times more than its rival OpenAI this year… adding weight to critics’ claims they have “doom-mongered” about their latest Mythos model

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Yoïn van Spijk @yvanspijk.bsky.social · 19/06/2026

French ‘nord’ and ‘sud’ look a lot like ‘north’ and ‘south’. That’s because Old French borrowed them from Old English ‘norþ’ and ‘sūþ’ – along with ‘est’ and ‘ouest’, from ‘ēast’ and ‘west’. My graphic tells you all about ‘north’, ‘south’ and their fascinating history. Next time: east and west.

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Robert Gieseke (Openclimatedata) @openclimatedata.net · 11/06/2026

Now with some more color and tooltips! openclimatedata.net/countries/no...

Figure from https://openclimatedata.net/countries/norway

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Erin Da(ta)vis @erindataviz.bsky.social · 29/05/2026

Coming out of my cave to share a new blog post: erdavis.com/2026/05/29/w... Still banging on about names. This time, I found the oldest name (as determined by average age of living people with that name) is... Myrtle! Included is a li'l interactive to look at your own name ☺️

A set of histograms showing the age distribution of the oldest names in the US. Myrtle is the oldest name, with an average age of 84.3 in 2025. The top five is rounded out by Nannie, Gertrude, Flossie and Beulah.

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Lauren Klein @laurenfklein.bsky.social · 27/05/2026

Students were always my imagined readers when I was writing DATA FEMINISM. Every time I asked myself, "How do I explain this clearly?" or "Why should people care?" I was thinking of them. So getting to build a course around those questions felt like coming back to my (Google Docs) home

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Jasmine 🌌🔭 @astrojaz.bsky.social · 25/05/2026

this is such an underrated photo from artemis ii. you’re literally looking out the window at the universe. it’s absolutely beautiful.

A long-exposure photograph capturing the Milky Way galactic plane and faint stars from deep space.
It was taken through one of the optical windows of NASA's Orion spacecraft.

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John Kerski @jkerski.bsky.social · 24/05/2026

New video: Test prompts with Promptfoo + GitHub Models. Run locally and in GitHub Actions, reduce UI testing, validate changes, and catch regressions early. youtu.be/pvX006M_kCM

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Observable @observablehq.com · 20/05/2026

In this notebook, @laotzunami.bsky.social visualizes a state space of possible chart types and transitions among them along defined edges. Transitions between unconnected types are achieved by routing through intermediate types. observablehq.com/d/3c8b082818...

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Lisa Hornung @lisahornung.bsky.social · 11/05/2026

#30DayChartChallenge Day 10 | Pop Culture. Top 20 books of 2025 by genre & publish date, according to Readers’ favourites on Goodreads. 📚📖 Most romance novels were published in spring/summer. Nonfiction books have the longest book titles and Fantasy books lead in terms of total pages. #Dataviz

Barcode type chart titled "Favourite books 2025" showing the top 20 Goodreads books by genre and release date across 8 genres: Fantasy, Fiction, Historical, Horror, Mystery, Nonfiction, Romance, and Science-fiction. Each bar represents a book plotted by release month across the x-axis (January–December) in each category along the yaxis. The bar height encodes total pages (112–1344) and bar width encodes title word count (1–14 words). Bars are colour-coded from yellow (January) to purple (December). Source: Goodreads Readers' Favourite 2025.

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PBI DataVizzle @pbiqueryous.bsky.social · 06/05/2026

A black bear wearing a faux minky fleece. You cant convince me otherwise.

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Meagan @mmarie.bsky.social · 05/05/2026

This is not limited to SQL! You could blog about incremental refresh in Power BI, hashing values in PySpark, high watermark patterns in Fabric pipelines, or any other change detection technique. I'd love to see the #PowerBI and #MicrosoftFabric community join in! Publish your post on May 12!

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Ansgar Wolsing @ansgarw.bsky.social · 03/05/2026

When the first measles vaccination was approved in the United Kingdom in 1968, the number of infections decreased quickly and significantly. #30DayChartChallenge | Day 16 - Causation #dataviz

A chart showing the annual number of notified cases of measles in England and Wales from 1940 to 2025. Light bars in the background show the annual values, a smoothed line shows the long-term trend. The time on the x axis is cut into segments:
Before 1968: About 1000 cases per 100000 inhabitants annually.
Between 1968 and 1988: 150 cases per 100000 inhabitants.
After 1988 (intro of MMR): Up to 10 cases per 100000 inhabitants, with some spikes in numbers up to 18 cases per 100000 inhabitants.

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Jeff “Now I am become AI Slop” Weir @insightsmachine.bsky.social · 30/04/2026

Hey #PowerBI peeps...what's the easiest way to find the *used measures* in a *thin report*? Does MeasureKiller work on these? I tried, but got this message which says stuff I don't follow.

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Scott Hanselman 🌮 @scott.hanselman.com · 28/04/2026

The earliest DOS source code was found on printer paper in Tim Paterson's garage so we've open sourced it on 86-DOS 1.00’s 45th anniversary! This is next-level software archaeology for preservation, and plain ol’ curiosity. #DOS #RetroComputing opensource.microsoft.com/blog/2026/04...

opensource.microsoft.com

Continuing the story of early DOS development | Microsoft Open Source Blog

In 2018 we (re)-open-sourced MS‑DOS 1.25 and 2.11, and more recently in 2024 we were able to make the source for MS‑DOS 4.0 available to the public as well. Today, on 86-DOS 1.00’s 45th anniversary, w...

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Ansgar Wolsing @ansgarw.bsky.social · 28/04/2026

Germany's future: 30 population projections 2025-2070 Projections by the Federal Statistics Office #30DayChartChallenge | Day 28 - Modeling #dataviz

A line chart titled “Germany's future: 30 population projections 2025-2070" showing 30 different population scenarios for Germany from 2025 to 2070.

28 lines trend downward, starting from 84M in 2025. Key data points for 2070 include:

- Maximum population: 86.5M (1 of only 2 growth scenarios).
- Constant at 2024 level: 81.8M.
- Minimum population: 63.9M.
- No external migration scenario: 59.6M (the lowest projection).

20 scenarios, the population decreases by more than 8 million people by 2070.

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Steven Ponce @sponce1.bsky.social · 28/04/2026

📊 #30DayChartChallenge 2026 – day 28 . Uncertainties | Modeling . 🔗: stevenponce.netlify.app/data_visuali... . #rstats | #r4ds | #dataviz | #ggplot2

Line chart showing global population from 1950 to 2100. A solid black line traces observed population growth from 2.5 billion in 1950 to 8 billion in 2023. In 2024, the line transitions to UN model projections shown in burgundy: a solid median line reaching 10.2 billion by 2100, flanked by shaded 80% and 95% uncertainty intervals, and dashed high- and low-fertility variant lines ending at 14.4 billion and 7 billion, respectively. The widening fan of uncertainty illustrates how small differences in fertility assumptions compound into vastly different population futures over the course of the century.

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Yasar Sharfudeen @newbie2k25.bsky.social · 28/04/2026

Day 28 #30DayChartChallenge — Modeling Five futures, one planet Three demographic models project vastly different 2100s: UN (peak 10.3B in 2083), IHME (peak 9.7B in 2065, then decline), and Wittgenstein SSPs (9.2B to 13.1B). Data: UN WPP 2024 · IHME GBD 2020 · Wittgenstein SSPs Made with R + ggplot2

Line chart on a dark navy background titled "Five futures, one planet." World population from 1950 to 2100 in billions. A single white line shows observed history rising from 2.5 B in 1950 to 8.1 B in 2023. From 2023 the line splits into five projection paths: a coral UN WPP 2024 line peaking at 10.3 B around 2083 and ending at 10.2 B in 2100, surrounded by an 80 % and 95 % prediction-interval ribbon that fans outward; a blue IHME GBD 2020 line peaking earlier at 9.7 B in 2065 and falling to 8.8 B in 2100, with its own pale-blue 95 % uncertainty ribbon; three Wittgenstein SSP scenarios — green SSP1 declining to 8.0 B, yellow-green SSP2 ending at 9.9 B, and amber SSP3 still rising to 13.1 B at 2100. Each line is labelled at its 2100 endpoint with the model name and final value. The UN's 95 % prediction interval visibly brackets most of the disagreement between models. Sources noted at bottom: UN World Population Prospects 2024, IHME Vollset et al. 2020, and Wittgenstein Centre Data Explorer v3.

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Michael Friendly @datavisfriendly.bsky.social · 28/04/2026

A really nice way to show uncertainty!

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Power BI Weekly @powerbiweekly.info · 27/04/2026

Learn how to visualize confidence intervals in Power BI for better decision making by Edward (Ned) Charles #PowerBI www.youtube.com/watch?v=_x2V...

youtube.com

Drop Materialized View

11 likes. "Learn how to visualize confidence intervals in Power BI for better decision making"

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David Hood @thoughtfulnz.bsky.social · 25/04/2026

#30DayChartChallenge day 26 Trend While the overall recent trend in this is pretty clear - "line go down", when making this graph I wanted to aid comparisons, rather than using gridlines I displaced the data by a year to provide the year before as a reference line for each week

Graph showing weekly employment per capita in NZ

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Ansgar Wolsing @ansgarw.bsky.social · 21/04/2026

One more for the cheese lovers. 🧀 German cheese exports and imports from and to Austria between 2001 and 2025 in the style of William Playfair. #30DayChartChallenge | Day 21 - Historical #dataviz

This line chart shows the trade balance of cheese between Germany and Austria. The chart attempts to mimic the style of 18th-century charts. Until 2018, Germany exported more cheese (measured in tonnes) to Austria than it imported. Since then the balance has switched. In 2025, Germany imported more than it exported.

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Meagan @mmarie.bsky.social · 22/04/2026

This week's #Wow2026 for #PowerBI is a Power BI remake of a previous Tableau challenge. We are making satellite charts to show percentages that exceed 100%. Check it out: www.workout-wednesday.com/pbi-2026-w16/ @shan-gsd.bsky.social @merrykerry.bsky.social

This trellis chart displays food self-sufficiency rates for 47 Japanese prefectures in FY2019, arranged from highest to lowest across a 10-column grid. Each cell contains a satellite chart — a spiral visualization where one full revolution represents 100% self-sufficiency. The spiral uses color to indicate which century of value is being represented: orange for the first 0–100%, blue for 100–200%, and pink for 200–300%. A hollow dot marks the endpoint of the spiral. The percentage value and prefecture name are displayed in the center of each spiral. Hokkaido leads at 216%, followed by Akita-ken at 205% and Yamagata-ken at 145%. Most prefectures fall below 100%, indicating they produce less food than they consume. Tokyo-to has the lowest rate at 0%.

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Data Rocks @t.datarocks.co.nz · 10/04/2026

I just now came across this article by @frank.computer and it expands really well on my thread below. My point of view is business intelligence, because that's where most of my experience is, but it's always good to see a view with more academic rigour. www.frank.computer/blog/2026/03...

frank.computer

On genAI: Was prototyping really a bottleneck?

I keep hearing folks claim that the fact we can ‘prototype’ so quickly now is a good thing (thanks to modern genAI). But what if the slow parts about prototyping are actually what make it worth doing?

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Data Rocks @t.datarocks.co.nz · 09/04/2026

There is a trend I am seeing more in the Business Intelligence space, driven by AI shenanigans, that I find really concerning, and I really want to write about it. That web design look you get using Tailwind, CSS, React is not desirable, nor useful with Business Intelligence tools. 🧵 📊

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Jeff “Now I am become AI Slop” Weir @insightsmachine.bsky.social · 03/04/2026

Great article from @merrykerry.bsky.social The wireframe stuff resonates with me. The dashboard design should reflect not just assumptions of what someone *thinks* users might want/need; but also by the shape of the data itself, which may only come into focus *along the way* during the build.

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Miska Knapek @miskaknapek.bsky.social · 02/04/2026

#datascience #datavis Quite a chart treat

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Observable @observablehq.com · 23/03/2026

Bar charts, line charts, and pie charts are useful and ubiquitous chart types in BI tools, but sometimes they can fall short. Learn about effective, engaging alternatives that are easy to build with Observable Plot:

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Beyond bar charts: A guide to advanced visualizations

A practical guide to alternatives to standard chart types using Observable Plot to build advanced visualizations that can help uncover trends, changes, flow, distribution, and relationships.

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