With an ongoing trade war and stocks sliding into correction territory in the last week, a question emerges: Is a recession next? Jasmine Cui, the NBC News reporter on the data / graphics team, details what the recessionary data signals and economists say: https://www.nbcnews.com/data-graphics/recession-warning-signs-trump-economy-what-know-charts-rcna196221 #dataViz

New Yukon tourism data dashboard launched today! Super nice work by Brett and Geof and the Tourism and Culture crew! https://yukon.ca/en/statistics-and-data/tourism-statistics-and-reports/access-yukon-tourism-indicators-dashboard #opendata #dataviz #Yukon

Slowly making updates to my #StickersAndStamps project.

https://www.patreon.com/posts/124447873

#Arctic climate rankings are now in for February 2025: https://zacklabe.com/archive-2025/. This was a historic month for the region with record warm conditions and record low sea ice relative to any prior February.

Happy Pi Day! I'm reminded of this old piece on Pie charts: "In Defense of Pie Charts, and Why You Shouldn’t Use Them"

https://medium.com/@kristinhenry/in-defense-of-pie-charts-and-why-you-shouldnt-use-them-df2e8ccb5f76

I just updated my #Arctic sea-ice thickness and volume graphics for February 2025 using PIOMAS data: https://zacklabe.com/arctic-sea-ice-volumethickness/

This month was the 2nd lowest February volume on record.

My visualisation of Australian fruit and veg seasonality made the Information is Beautiful awards longlist.

As the food bowl of Australia was flooded thanks to #CycloneAlfred, the information in the guide may be off for a bit until we recover!

#InformationIsBeautiful #DataViz #D3js

https://www.informationisbeautifulawards.com/showcase/6836-can-i-eat-it-yet-a-visual-guide-to-seasonal-fruit-and-veg

#Dataviz books everyone should read - a community sourced #charticle https://informationisbeautiful.net/visualizations/dataviz-books/ Created in association with @‌DataVizSociety #iibwab

Did you know you can now access #TidyTuesday data in #Python as well as #RStats?

Here's a plot of this week's data about Pixar films made with Plotnine!

Import data using PyDyTuesday
Coloured subtitle text added with highlight_text
Fonts installed with pyfonts by Joseph Barbier

Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-03-11

New blog post about data art!

Have you ever wondered:

What is data-driven art?
Why do people make data art?
How do I get started making my own?

Then this blog post is for you! It includes an example using #TidyTuesday data - with code in both #Python and #RStats!

Link: https://nrennie.rbind.io/blog/data-driven-art/

Some light reading for a bit of a distraction, if you will: Vivian Li from @thepudding looked at how "cultures can hear the same physical sounds yet translate them into language so differently".

https://pudding.cool/2025/03/language/

Neat. My "Analyzing fediverse followers of my creative online bots" data visualization was accepted for this year's Information is Beautiful Awards' longlist.

https://www.informationisbeautifulawards.com/showcase/7081-analyzing-fediverse-followers-of-my-creative-online-bots

40 free tip sheets, presentations, and/or repos from awesome data journalists, professors & researchers, from last week's #NICAR25 conference.
Learn about mapping/GIS, GitHub Actions, R, Python, LLMs, command-line tools, JavaScript, and lots more.

Links at https://www.machlis.com/nicar/

Sometimes, updating a Data Art piece is just too much of an emotional drain. And the piece must remain out of date.

But to be honest, that's part of the piece itself.

How Big is 400,000? https://kristinhenry.github.io/howBig/

I wrote a bit about the piece: https://kristinhenry.medium.com/how-big-is-400-000-922841dbc986

Pretty fascinating look at how "Covid changed everything", in 30 charts.

"Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for Americans five years ago this week."

https://www.nytimes.com/interactive/2025/03/09/upshot/covid-lockdown-five-year-charts.html?unlocked_article_code=1.204.fxKd.JLkhkiBQuauY&smid=url-share

I'm trying to develop the habit of checking Peertube more often. Found this.

"This is a presentation of the paper "Only the Old and Sick Will Die" -- Reproducing Eugenic Visuality in COVID-19 Data Visualization, published in the proceedings of IEEE Tech and Society 2022."

https://diode.zone/w/b11ded51-f821-4c3b-a392-56011fe93ae7
#Eugenics #Dataviz #COVID #Ableism

My monthly #Arctic temperature graphics have just been updated through February 2025, which was one of the most anomalous months on record for this region: https://zacklabe.com/arctic-temperatures/

Perhaps this is a lost fight, but I refuse to use #dataviz as abbreviation for data visualization — it’s wrong and should be #datavis! Why?

Which Python dashboard library for which purpose?
We were left with only two candidates: Voilà and Panel: https://jupyter-tutorial.readthedocs.io/en/latest/dashboards/voila-panel.html
#DataViz #Python