It's Day 6 of the #30DayChartChallenge, and the prompt is "Florence Nightingale (theme day)"

Chart styled based on her iconic Rose Diagram using #RStats
Curved text with {geomtextpath}
Custom facet layout with {ggh4x}

2025 #30DayChartChallenge | day 05 | comparison | ranking
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: https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_05.html
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#rstats | #r4ds | #dataviz | #ggplot2

It's Day 5 of the #30DayChartChallenge, and the prompt is "Ranking"

Bump chart made with Plotnine in #Python
I'm not totally happy with this one (too many colours and categories), but I figured out some text wrapping and label issues in Plotnine in the process

I once again recommend to pull the *.GPX files from your fitness tracker and view them in blender!

Shown is a section of my bike bike commutes (and fun rides around town) form 2022 to today, spanning at least 6000km

You can use this add on I made for that purpose. Even if #b3d is switching to the new extensions platform! Just select "Install from disc..." and you're set.

https://zuggamasta.de/projects/gpximporter/

"What if today’s most iconic sounds aren’t just from today, but are inherited from a family of sound."

https://pudding.cool/2025/04/music-dna/

via @thepudding

Next at #WorkshopsForUkraine: Effective #DataVisualization #DataViz in #R #RStats in Scientific Contexts, by Christian Gebhard, Thursday April 10th, 6 pm CET. Register or sponsor a place for a student by donating to support #Ukraine. Details: https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine#h.b0g432iynobt

It's Day 4 of the #30DayChartChallenge, and the prompt is "Big or Small"

Made a very minimalist chart using #RStats
I'm now determined to use this same dataset for all 30 prompts

For Day 3 of the #30DayChartChallenge, the prompt is "Circular"

Sunburst plot showing countries where 1% have >10% of wealth
Data formatting #RStats to create JSON data
Figured out how to edit an imported D3 chart in Observable

We're looking at Pokemon data for #TidyTuesday this week!

Stream plot showing speed and colour using {ggstream}
Image added with {ggimage}
Aiming for a minimalist, fun, and arty chart

Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-04-01

It's time for a #Measles dashboard update:

https://public.tableau.com/app/profile/ari.skinner/viz/MeaslesUSA2025/NavandOverview

The landing page now has a histogram AND a national map, capturing statewide totals. This is especially valuable since some states aren't including county data, or are including divisions like regions, which can't be captured on the cases-by-county map.

This project was constructed from local and state data first: I don't pull from CDC's national totals, but I do check my data against them frequently. Wherever local and state data aren't available, I use news articles. Every entry includes a source link in the cases-by-county table.

It's Day 2 of the #30DayChartChallenge, and the prompt is "Slope"

Re-using yesterday's data from Our World in Data on wealth distribution
Slope chart looking at change over 200 years
Chart made with Observable

Quarto + #RStats + Observable =

New blog post from me about:

What is Observable?
Why should R users care?
How do you use both together to make interactive charts?

Link: https://nrennie.rbind.io/blog/observable-r-users/

The New York Times' classic #dataviz made in *Flash* are back online - thanks to some kind of tech magic. Via @flowingdata
https://flowingdata.com/2024/01/10/nyt-flash-based-visualizations-work-again/

It's Day 1 of the #30DayChartChallenge, and the prompt is "Fractions"

Data from Our World in Data on wealth distribution
Data wrangling in #RStats
Waffle plot made with Observable

Today starts the #30DayChartChallenge, happy times for #dataviz lovers!

I recently joined the Health Foundation. So this year (as time allows) I’ll post a mix of visualisations about health topics made in Flourish (our main charting library) + fun stuff I learnt to make in #python and #D3.

Grâce à l'API de #Mastodon et un scraping #python une visualisation des mot-dièses associés à #AAFRennes2025 corpus de 169 pouets depuis 2023. (bon maintenant il y en a un de plus). @archivistodon #Archives #Dataviz

Here's my first contribution to the #30DayChartChallenge 2025. Horrifying statistics about misinformation! But also hot tips to cope!

Four in five of us (adults in Australia) reckon: "The spread of misinformation on social media needs to be addressed."

And that "People need to be taught how to identify misinformation."

So we're starting there! This is the SIFT method:

S: Stop. Don't read a post until you know where the info is coming from. And stop if you're overwhelmed.

I: Investigate the source. Maybe hover over their social media profile. See what Wikipedia says.

F: Find better coverage. Before sharing, check if other websites (reputable ones) say the same thing.

T: Trace claims, quotes, and media to the original context. Check the date. Try reverse image search to see where pics came from. Read full quotes, not just ragebait headlines.

#TidyTuesday – 2025 W13 | Pokemon
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: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2025/tt_2025_13.html
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#rstats | #r4ds | #dataviz | #ggplot2

https://DSLC.io welcomes you to week 13 of #TidyTuesday! We're exploring Pokemon!

https://tidytues.day/2025/2025-04-01
https://medium.com/@hanahshih46/pokemon-data-visualization-and-analysis-with-r-60970c8e37f4

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

Promising 4-year, fully-funded PhD position in Architecture and Data Visualization at TU Delft – explore sensor data, design impacts, and ecology.

Apply by 15 Apr 2025!

https://careers.tudelft.nl/job/Delft-PhD-Position-in-Architecture-and-Data-Visualization-2628-CD/814989002/