Great callout! Will look into it :)
@curiousdata
Over-analyses TV series, music, my cat and Eurovision in #dataviz By day, data analyst at LinkedIn Tableau's #VizoftheDay three times, Top 10 in #Ironviz in 2021 Website: https://curiousdata.netlify.app/ She/her
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...
💯
I find myself in equal measures delighted by this chart and mortified that it did not occur to me first. The article that accompanies it is equally charming.
fast and furious
I will keep with silly chart jokes!
Vroom, vroom, would it be 'Baby Driver'?
Long-time lurker, playing today! I have no idea if the image needs to have a link to the topic, so I just uploaded the last pic someone sent me.
just seeing this now, let me catch up :)
In today's edition of "Data articles I didn’t know I needed to read" 🧅✨
pudding.cool/2025/08/onio...
#DigThisViz #DataStorytelling #UnexpectedlyBrilliant
Desperately need a word for when you hate the subject of a data, but like the visual. My latest combines a comparison chart & cartogram to show which states allow prisons to charge "pay-to-stay" fees. #dataviz
well deserved!
Ah, looking at your previous code and wondering what fever brought you to write this or that 🤭
that's good to hear! One of my struggles learning Svelte (and perhaps, code in general to be honest) is "what did I do wrong or is this because of the position of the planets?" 😆
👀 Dataviz folks, anyone using Svelte 5 yet? 😗📊
Curious how it feels for visualisation work:
🟢 Easier?
🟡 Harder?
🔵 Ready for production?
Also on the hunt for code starting points: drop links if you’ve got them! 💡
#dataviz #svelte
Paris?
Bruxelles?