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Nicolas Kruchten Dec 14, 2022

I love the way Apple names things: FireWire, App Nap, iPhone, iPod, EarPod, AirPod, AirPlay, FairPlay etc. Here's an interactive visualization of the relationships between words in Apple trademarks: https://nicolas.kruchten.com/content/2022/12/apple_tm/

How Apple Names Things

I love the way Apple names things: FireWire, App Nap, iPhone, iPod, EarPod, AirPod, AirPlay, FairPlay etc.It’s playful and there’s a lot of reuse of words and sounds. Having just finished reading the biography ofSteve Jobs, I decided to visualize various Apple product and feature names as a network to see this reuse in action.Check out the interactive version here (it works best on a desktop). I gotthe names from Apple’s public list of trademarks.

Nicolas Kruchten Mar 20, 2019

Today we are launching Plotly Express, a new high-level Python visualization library! Check out our announcement at https://medium.com/@plotlygraphs/introducing-plotly-express-808df010143d or just watch this show reel of charts each made in a single line of Python:

✨ Introducing Plotly Express ✨

Plotly Express is a new high-level Python visualization library: it’s wrapper for Plotly.py that exposes a simple syntax for complex…

Nicolas Kruchten Feb 5, 2018

Just published a new article on the use of "seriation" techniques to make patterns pop out of heatmaps! http://nicolas.kruchten.com/content/2018/02/seriation/ https://vis.social/media/NfIZ_jgXcXWUAHyPgC8

Make Patterns Pop Out of Heatmaps with Seriation

One of the easiest ways to start visualizing data is to turn a table into a heatmap: every cell gets a colour, the higher the number the brighter the colour. Unfortunately, this is often a fairly unrewarding exercise, yielding graphics that look like plaid or tartan fabric. Part of the problem is that the rows and columns of a dataset often have no natural ordering, such as time, and are instead shown in alphabetical order, or else the dataset is sorted by one of the rows or columns, rather than in an order which makes patterns pop out visually. My goal in this article is to clearly demonstrate this problem and show that there exist neat solutions to this problem using a set of techniques collectively called seriation. I’ll do this by automatically reordering the rows and columns in the following noisy-looking heatmap to make the underlying pattern very clear.