I once read that owls are like cats with a pilot licence, and I cannot think of this website as anything else but the 2026 version of "I can has cheeseburger".
Thank you for sharing, this is the type of quality content I am here for.
Posts by Anne-Sophie Pereira De Sá
and this is where I found this piece
Note: recently suscribe to the excellent "food for thoughts" newsletter @densediscovery.bsky.social ; the last edition celebrated "interactive storytelling and data visualisation pieces worth getting lost in for a while"
[Worth reading] Ooof, I was not expecting to be mindblown on a Tuesday morning but here we are: "what if the exhaustion everybody feels isn't a moral failure but the completely rational response to being made responsible for an ecosystem of objects that never stop asking?"
@chezvoila.com hope we did justice to your feedback and thank you :)
Before/after of a line chart showing the ratings of Game of Thrones across all episodes and seasons. Season chart is more legible, with a gradient.
Highlight of the header of the viz with a new box that allows to search for a specific TV show title to check if it's in the top 250.
Update on the #IMDb Top 250 TV explorer (Svelte + D3 collab with @leandrocollares.bsky.social)
We got great feedback and
→ improved chart legibility
→ simplified the #UX
→ made key info easier to access
Good reminder that the real work starts after launch!
imdb-show-explorer.vercel.app #dataviz 📊
[Interactivity] I've seen a couple of times those "guess the rest of the line" charts but this is the first time I experience a "guess the bar chart". Cool! #Dataviz
Mayank Munjal, Kripa Jayaram, Vineet Sachdev and Anurag Rao
www.reuters.com/graphics/USA...
Probably not the most important part of this impressive work, but I’m obsessed with the fact that what I call a 'camembert', my fellow French speakers from Quebec would call a 'pointe de tarte'. That’s beautiful.
🧀 🍰
NEW POST: I asked Obinna to compile a list of data viz and notable subject-adjacent conference events taking place in 2026 and he gathered so many it felt natural to publish as a post and share with the world!
visualisingdata.com/2026/03/data...
Nice!
It would be very easy for @datawrapper.de to shy away from such complex and painful topics, but I appreciate them reminding us that we *keep* losing lives in the Mediterranean sea.
www.datawrapper.de/blog/migrati...
There are some topics that you can explore through a data‑lens, but where a personal story anchors the subject far more powerfully. I can’t imagine this was easy to write, but this is beautifully made and moved me deeply.
Thank you @lamthuyvo.bsky.social, and all the best to our fellow warriors. 💪
Great callout! Will look into it :)
New project 🚀
With @leandrocollares.bsky.social, we built an interactive explorer of the IMDb Top 250 TV shows. Would genuinely love feedback from fellow #dataviz folks:
UX, structure, performance, chart decisions… all fair game.
🔗 imdb-show-explorer.vercel.app
#D3js #Svelte #IMDb
Display my score at a new colour guessing name, got 44.47/50.
Dear #dataviz community, please have mercy on my productivity and stop sharing addictive games 😜
I made a map of 3.4 million Bluesky users - see if you can find yourself!
bluesky-map.theo.io
I've seen some similar projects, but IMO this seems to better capture some of the fine-grained detail
Another excellent read from @londoncentric.media on Tiktok & fake news:
www.londoncentric.media/p/london-tik...
It's official 🎉
Visualising Climate 2026 is here! visualisingclimate.com
First international conference of its kind, it'll bring together artists, scientists, journalists all moved by the same desire to better communicate our changing climate 🌍
🗓️ Join us in Bologna, Nov 4-6
#dataviz #climatecrisis
"Aging is weird: I see birds now!" Oh, I feel seen 😅
One of my greatest joys lately: trying to learn to distinguish the songs of different birds with the Merlin Bird ID app (by the Cornell Lab of Ornithology) merlin.allaboutbirds.org
I'm so be happy to be part of the organizing committee of this conference. Join us in Bologna! #dataViz #infographics #dataVisualization #dataJournalism You can submit a proposal for a talk, paper, workshop, etc: visualisingclimate.com/submissions/
🎉 We’ve received 709 responses to the 2025 SOTI Survey so far! Take the survey if you create #dataviz in any capacity (hobby, work, school, art), and help us spread the word: www.surveyhero.com/c/soti2025-b...
And here I am, thinking I am smart just because I know how to use XLOOKUP in Excel.
Great follow-up!
I won't be the person to tell you this, and not that my opinion matters that much but: your newsletter is awesome and brings me joy. Love the fact you tackle very different topics with clear charts and visuals every time.
To highlight challenges in other countries, Giving What We Can imagined a birth lottery to see how you might start life from birth. Spin the globe and see how the country you land on compares against your own in terms of life expectancy, income, and education.
www.givingwhatwecan.org/birth-lottery
and, as a European, also this recent Guardian's article about what is considered radical or not, depending on which side of the pond you live (among other factors, obviously!) www.theguardian.com/us-news/2025...
reminds of this video, with more charts
www.youtube.com/watch?v=fJh9...
New Year, New Colour Tool
for you data visualizers and maybe the odd designer
obumbratta.com/colour
Pew Research Center is seeking a Data Archivist to support our commitment to open science and data transparency. This newly created role will play a key part in enhancing the accessibility, usability, and reproducibility of our research data while continuing to protect the privacy and identity of our survey participants. As Data Archivist, you will lead efforts to create and implement best practices for preparing, documenting, and disseminating datasets. These best practices should maximize FAIR (Findable, Accessible, Interoperable, and Reusable) principles while minimizing disclosure risk. You will work across teams to ensure our data is well-organized and thoroughly documented. You will serve as an internal advocate for data users, helping to ensure that our datasets are not only accurate and comprehensive but also easy to discover and reuse by researchers, journalists, and the public. This is a full-time, Pew Research Center position. The position is funded by an external grant and limited to a two-year term.
Primary Responsibilities Develop optimization procedures to improve discoverability of our datasets on internal and external platforms Develop and maintain standards to improve accessibility of our microdata and tab plans by changing/adding formats and/or adding documentation Identify metadata documentation best practices and a process to implement those best practices at the Center Work with Legal to evaluate most appropriate license to publicly share the Center's survey data, including Creative Common options Identify and correct processing inefficiencies in our data publication process Sit on the internal Disclosure Risk Taskforce Document analytical decisions and code to support transparency and replicability, including the development of a RACI chart for publishing code to recreate derived variables that are used in reports but are not included in the microdata Manage/create merged time series datasets for select Center datasets Identify a process for internally archiving data and projects that are no longer in active use Identify and implement a process to assign Digital Object Identifiers (DOI) to microdata Prepare and upload public-facing datasets and restricted-use datasets for external sharing. Train staff on FAIR principles and best practices in data archiving.
Education/Training/Experience Bachelor’s degree required, preferably in library sciences, organizational management, or a related field. 5-7 years of experience with data archiving, database management, or survey research. This may include graduate training at the MA/PhD level or equivalent experience in an applied setting. At least 3-5 years of experience applying FAIR and open science principles. Background in social science research or data curation. Experience in data management, archiving, or research support. Familiarity with FAIR principles, Creative Common licensing, data privacy principles, and exposure risk. Proficiency in metadata standards and documentation tools. Experience managing research projects, including working collaboratively with a multidisciplinary team. Experience with statistical software (e.g., R, Python, Stata) and reproducible research workflows. Knowledge, Skill and Workplace Requirements Strong organizational and communication skills. Detail oriented with exacting standards to maintain accuracy and impartiality in all work products. Ability to work independently to carry out special projects from start to finish. Ability to balance numerous tasks simultaneously. Ability to work collaboratively and collegially with other team members, as well as with staff from other Pew Research Center teams. Ability to balance competing priorities and identify optimal solutions FLSA Status: Exempt Compensation: Starting salary is commensurate with experience within the range of $100,000 - $120,000. Hybrid Work Schedule: Pew Research Center staff are required to be present in the Center’s Washington, D.C., office three core days weekly (Tuesday, Wednesday, Thursday). Staff may work virtually from remote locations on other days in a typical work week.
Please share - @pewresearch.org wants to hire a data archivist who will be an advocate for data users, helping to ensure that our datasets are easy to discover and reuse by researchers, journalists, and the public.
pewtrusts.wd5.myworkdayjobs.com/CenterExtern...
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