#TidyTuesday week 15: Bird Sightings at Sea🌊🐦
I built this bird swarm visualization using #D3js
I explored how sightings cluster across cloud type conditions and turn the data into a drifting swarm of bird marks.
#DataViz

Thanks! Wajdi..

#30DayChartChallenge Day 3: Mosaic and #TidyTuesday week 14: Repair Cafes Worldwide
Created this faceted mosaic chart using #D3js

#DataViz #DataVisualization #RepairCafes

Thanks.!

Day 10 of the #30DayChartChallenge — Pop Culture
For this chart, I ended up going down a bit of a rabbit hole exploring Labubu dolls and the surge in search interest in 2025. Had fun creating this interactive line chart using #D3js
Code : observablehq.com/d/27da56177b...
#DataViz

Circular sentiment visualization of Sherlock Holmes stories, with rings as stories and colored slices showing emotional shifts from negative (blue) to positive (brown), centered around a Holmes portrait.

Day 8 of the #30DayChartChallenge : Circular 🌀
I explored the complete Sherlock Holmes collection through a interactive sentiment lens, visualized as a radial “sentiment wheel.”
Code: observablehq.com/d/be3412faec...
#DataViz

Alt text: A pictogram chart titled “What Billboard No. 1 songs keep singing about.” It shows the lyrical topics of Billboard Hot 100 No. 1 songs from Aug. 4, 1958 to Jan. 11, 2025, with one musical note representing about 15 songs. The three largest categories are Lust/Sex with 271 songs (20.8%), Love with 269 (20.7%), and Lost Love with 252 (19.4%), showing that romantic themes dominate chart-topping hits. Smaller categories include Longing for Love, Bad Relationships, Dancing, Bragging, Partying, Empowerment, Death, Badassery, and Infidelity. The chart uses black music-note icons on a light background, with counts and percentages aligned on the right and example songs listed under each topic.

Day 2 of the #30DayChartChallenge 📊🎵

For the pictogram prompt, I explored what Billboard Hot 100 No. 1 songs have sung about from Aug. 4, 1958 to Jan. 11, 2025 using the Billboard Hot 100 Number Ones Database.

#DataViz #Billboard #MusicData

Hahaha, Nice 😃👏

Day 1 of #30DayChartChallenge: Part-to-whole 🎵

Turned my Spotify Wrapped 2025 genres into a vinyl-inspired chart to show the vibes I played most in 2025. C-pop took the biggest slice, with soundtrack, Hindi pop, pop, and Marathi pop rounding out the mix.
#DataViz #SpotifyWrapped #DataArt

The Census of India has never been very reader-friendly. But in 1970s, a series of events led to government putting effort into publishing very interesting, truly "Indian" #dataviz for the average reader. My new story, with an explorer and some comics! More ⬇️

🔗 diagramchasing.fun/2026/portrai...

#TidyTuesday week 12 - One Million Digits of Pi
Created this generative art using #D3js
#DataViz

Today I’m excited to finally start a project I’ve been wanting to launch for a long time: Color for #Geoscience. 🎨🌍

ℹ️ to build an open, community‑driven collection of palettes
📄 Contribution: github.com/dominicroye/...
🌐 APP dominicroye.github.io/color-for-ge...

#ScientificVisualization #dataviz

#TidyTuesday week 11 - Salmonid Mortality Data
Code: github.com/deepdk/TidyT...

#Rstats #DataViz

#TidyTuesday week 10 - How likely is 'likely'?
Code: github.com/deepdk/TidyT...
#Rstats #Dataviz

Announcing {freestiler}: a high-performance vector tiling engine for R and Python.

Generate vector tiles for your maps directly from R/Python spatial data, @duckdb queries, and local spatial files.

Check out the docs here: walker-data.com/free...

Some highlights:

A reminder that we are adding a new course to the Open Visualization Academy per month. We'll release 'The Craft of Building Stories with Data' by @chartwaali.bsky.social TOMORROW.

(We have 12+ courses at different stages of production!)

#dataViz #dataVisualization #infographics #dataJournalism

Given the recent spicy #rstats threads, an important reminder:

There's no single right way to code

If it works for you, that's all that matters really

Be good to your fellow coders

so cute.. and beautiful 😍😍

Certificate of completion from Open Visualization Academy for Deepali Kank, confirming completion of the self-paced course “Accessibility in Data Visualization” taught by Frank Elavsky, issued February 20, 2026, and signed by Alberto Cairo.

Finished this course yesterday. Lots of useful learnings and great resources.
#DataViz

some generative art for this week's #TidyTuesday data.
#Rstats #dataart

Explore Like a Designer Search Isotype charts by type, features, and color.

I’ve been cooking—building an original archive explorer from my collection of Isotype Institute charts and maps. So far, it includes 129 figures from 10 different publications. www.chartography.net/p/explore-li...

#TidyTuesday week 7 - Agricultural Production Statistics in New Zealand.
Created this really long table using {reactablefmtr} to showcase the fruit production over the years.
Code: github.com/deepdk/TidyT...
#DataViz #Rstats

Mind Blowing work❤️ #DataViz

Grid of 16 radial charts showing when each sport is scheduled during the Milano Cortina 2026 Winter Olympics, with blue segments marking event times across days and hours.

#TidyTuesday week 6 - Winter Olympics
Made this Radial Calendar.
Code: github.com/deepdk/TidyT...
#Rstats #DataViz

dplyr 1.2.0 dplyr 1.2.0 fills in some important gaps in dplyr's API: we've added a new complement to `filter()` focused on dropping rows, and we've expanded the `case_when()` family with three new recoding and re...

dplyr 1.2.0 is out now and we are SO excited!

- `filter_out()` for dropping rows

- `recode_values()`, `replace_values()`, and `replace_when()` that join `case_when()` as a complete family of recoding/replacing tools

These are huge quality of life wins for #rstats!

tidyverse.org/blog/2026/02...

Screenshot of the OVA website, showing all courses

The Open Visualization Academy (OVA) IS LIVE!
openvisualizationacademy.org

Thread follows #dataViz #infographics #dataJournalism #dataVisualization

Logo of the Open Visualization Academy, designed by Vinicius Sueiro

The Open Visualization Academy launches on FRIDAY! openvisualizationacademy.org

More information in our newsletter: openvisualizationacademy.beehiiv.com/p/the-open-v...

#dataViz #dataVisualization #infographics #dataJournalism

Having some fun recreating images in ggplot with the help of magick. This was made with geom_ribbon and stitched together with magick::image_animate.

#Rstats #dataviz

For #tidytuesday week 3, I tried mapping the most commonly photographed astronomical objects in NASA's APOD!

I extracted the entities and then used Wikidata's SPARQL to fetch coordinates, which were mapped onto a nice basemap by NASA. Static image & more in 🧵 #rstats

Code: aman.bh/to/tt-apod