#data visualization

Seeing is Believing: A Reading List on Making Meaning from Data

How does visual thinking become visual design become visual communication? How does data become information become meaning?

hello PWHL fans, I return with my penalty spreadsheets, updated for Season 3. If you want more, I will keep these updated and continue adding data/visualizations to them on my website, which is here.

As of the end of the Sirens Frost game this afternoon, here's some fun data:

The rivalry heat map again showing that Sirens/Victoire is not just in my mind but also on the ice, although this is surely influenced by all of those game misconducts handed out for the fight in DC. (This is showing number of penalties in each matchup). Sirens remain the most penalized team with 52 penalties on the season, but also the most fouled against team, with 61 penalties taken against us.

I've classified each penalty according to their type in the rulebook (more info on the website), and here's a breakdown of penalty types by team. Restraining infractions remain the most common, followed by physical infractions.

If you're curious about the way this breaks down as far as severity goes- minors are 2min pens, majors are 5min pens, misconduct is anything more than 10mins. Minors obvs most common, those misconducts are coming primarily from that fight again I believe.

Here are your top ten most penalized players, both by number of penalties and number of PIMs. No comment.

If you're curious what the top 5 most common penalties in the league are, I can help! Minnesota loves tripping, Ottawa hooking, Toronto interference, Montreal roughing, and Ottawa and Toronto tie for the lead in holding.

Last but not least, we see a relatively even split as far as proportions of penalties taken- Minnesota, Boston, and Vancouver are the goody two shoes of the league, while New York, Ottawa, and Toronto take the Problem Child end of the spectrum.

Stefanie Posavec:

As part of the People Like You research project, I was the artist-in-residence exploring data science and personalisation, investigating how the various stakeholders within a biobank perceive the ‘people behind the numbers’ who consent to their biological samples and data being used and stored for research. My focus was on the participants and researchers of the Airwave Health Monitoring Study, a cohort study and biobank based at Imperial College that’s been following the lives of 53,000 members of the police force since 2003. After interviewing Airwave’s staff and study participants, I created a detailed, drawn map of the winding journey a participant’s biosamples and data take within the study. Alongside this map I also created a series of drawings that present the various perspectives of study stakeholders (taken from their interviews) from their ‘positions’ within the Airwaves system.

The Neural Grid 🧠🌐

Welcome to the deep end of the simulation. This isn’t just data; it’s a digital pulse, a map of the collective consciousness rendered in glowing blue neon and complex geometric networks. 🧬🛰️ From the delicate architecture of a simulated brain to the sprawling, hyper-detailed grids of a future city, we’re looking at the blueprint of a world that lives between the wires. It’s giving high-tier sci-fi, elite hacker energy, and "too much coffee at 3 AM" vibes.

Whether you’re obsessed with the intersection of neuroscience and tech or you’re just here for that sharp, UI-heavy aesthetic, there is something hypnotic about seeing the complex made visible. 🦾💻 We aren't just observers anymore; we’re part of the system. Strap in, sync your neural link, and let the data stream take over. The future isn't coming—it's already been coded. 🕯️🌌