I  explore ideas and technologies using data visualisation. (page 1 of 2)

Making a map of an idea

Read full story / Where do ideas come from? It’s a topic that fascinates me. I’ve been exploring the origins of my latest work, linking it back to people that have contributed to it directly or indirectly. It’s a pretty hard thing to do. For example: the work is about a series of Japanese literature books. I didn’t set […]

Coldplay Constellations: a data visualization concept

Read full story / Exploration of how I turn Coldplay's Head Full of Dreams live tour into collection of constellations.

Recreating a data visualisation by Alli Torban with Python and Matplotlib

Read full story / Reflections on the recreation of a creative data visualization by Alli Torban using Python and Maptlotlib (+ a link to the code).

Visualizing The First Fifteen Lives of Harry August

Read full story / Visualising the lives of Harry August from the book The First Fifteen Lives of Harry August.

Developing Du Bois’s Data Portraits with Python and Matplotlib

Read full story / My entries for the DVS #DuBoisChallenge2024 and my reason for joining this open data visualisation competition.

An introduction to scrollytelling: data storytelling using scrollama.js, d3.js and html/css

Read full story / Learn how you to develop interactive data stories using d3.js, scrollama.js, and html/css.

My personal data visualisation project process

Read full story / Learn how I approach personal data visualisation projects. From ideation, to exploration and creation.

Emerging patterns visualising time using binary indicators

Read full story / Reflections on my experience using my self-made minimal binary Garmin watch face.

Developing a Minimal Watchface for the Garmin Forerunner 55 (and other watches)

Read full story / A diary like post about developing a watchface using the Garmin Connect IQ SDK.

Using data visualisation to monitor changes in machine learning models

Read full story / Learn how you data visualisation can help you monitor changes in your machine learning models.