Did an exercise in the student book for Linda Liukas' Love Letters for Computers. After I had coloured the computer, I decided to make a CSS version of it so I had some code to add on the exercise page.
Code on bit.ly/2kIU6b3

Love Letters for Computers is a great free resource for teachers who want to learn more about computer science so they can incorporate it in their teaching. There's a webpage with videos and links, plus teacher and student workbooks.

Data vis inspiration: Gunther Kleinert's drawings of music. Different parameters like frequency curves, sound levels, dynamics etc. are extracted, mapped and drawn on paper. These are of Keith Jarrett's legendary live recording Köln Concert.

If you like jazz, this is a must-have record, by the way. Make sure you get the original with Jarrett himself playing, because of the magical story behind the concert.
(see comments section for more info)

Kleinert's website: bit.ly/2kmW7tc

The non-profit organisation Tech Women Norway is organising a mini conference in Oslo on Ada Lovelace Day 8. October. I designed their logo (with code), and it's being made into stickers and T-shirts, which is pretty exciting for a non-designer like me.



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 😍

Just started my 2nd round of ! My main focus will be on Python & JavaScript / in .

I might not write a log on Github this time, like the original challenge asks us to do, but I'll tweet every day. Will be collecting my tweets in a Twitter Moment (let's see if that works).


I already know that I'll be away for a few days during the 100 days, but I think it's okay to have a sensible approach to breaking streaks if necessary. 😉

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:

New podcast friend. ❤️
Bonus (requirement): it's just a speaker, not connected to the internet.

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: en.wikipedia.org/wiki/Gunta_St).


Via Womens Art on Twitter.

Data vis inspiration: Erwin Poell's n+m magazine covers. From 1965-1972.
Via Kelli Anderson on Twitter: twitter.com/kellianderson/stat

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

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vis.social is an open social platform for creative people, especially anyone in data, visualization, creative coding, and related arts and research. English is the common language of the instance.