Coming up in Oslo in November: a (free!) half-day data vis conference!
📊 A group of scientists will present their research project and book "Data Visualization In Society", and there will be talks by @andykirk & others plus an exhibition of Norwegian data vis.

More info + sign-up:

100DaysOfCode R2D5 Getting an overview of the code isn’t so easy when you’re learning! 🧐 So I printed a PDF of my code from the “Fullstack D3 and Data Visualization” tutorial I did on Day 1, and started underlining, drawing, and commenting by hand.

I made my code PDF from a GitLab issue - it supports Markdown so I got syntax colours in the PDF. Next time, I’ll test a print-to-PDF add-on in my editor. 💻📜

This is my Data vis Inspiration workspace in the Notion app. The gallery view option is perfect to make inspiration boards, and each card has its own page containing the full-size picture plus room for more pictures and text 😍

Also on my agenda for this autumn: improve my D3 and JavaScript skills. Today, I followed the line graph tutorial in the trial chapter of "Fullstack D3" by Amelia Wattenberger, and I really liked it. Well explained, and uses a real data set. I'm definitely buying this book!

Link to the book:

After a crazy summer, I really look forward to not leaving town for a while + diving into data analysis with Python. 🐍

(🐍 photo taken in my neighbourhood)

Data vis inspiration:

South Korean textile artist and teacher Chunghie Lee creates site specific installations and wearable art. Via on Twitter.

(click image to expand)

One of the exercises in the book "Observe, Collect, Draw!" by Stefanie Posavec and @giorgialupi is “how music makes me feel”: draw how one’s emotions change during a song. I used the template in the book and applied own feelings and colours. To compare the songs, I made a small multiples chart of my six song drawings.
Thread with song links here:

Working on the book "Observe, collect, draw" by @giorgialupi and Stephanie Posavec, reading and doing some of the exercises for the upcoming Data Vis Book Club meeting by @lisacrost .

This one is a freehand exercise to experiment with combinations, overlaps, textures, and drawing materials. I used Procreate drawing app on iPad and tried to see what I could do with just one pen and very simple symbols.

Data vis inspiration: textile artist Gunta Stölzl (1897-1983)

- German textile artist who played a fundamental role in the development of the Bauhaus school's weaving workshop. Bauhaus' only female master (source:


Via Womens Art on Twitter.

Georgia O'Keeffe talks about her art here, but this quote also sums up exactly why I fell in love with data visualisation. ❤️

Some data vis projects are so beautiful that they literally make the heart beat faster. 💓 Check out Hanna Piotrowska (Dyrcz)'s visualisations of "If on a winter's night a traveler" in her master thesis. 😍 is an open social platform for creative people, especially anyone in sciArt, data, visualization, creative coding, and related arts and research. English is the common language of the instance.