Advertising funds a big chunk of the web, but for advertisers to continue to spend, their placements have to deliver results. So companies collect data about people’s online activity and create profiles based on the behavior. For The Markup, Jon Keegan and Joel Eastwood, dig in to the specificity of these profiles.

Profiles get stuck in segments or groups, and advertisers can choose which segment to put ads in front of. The above are finance-based segments. I’ve always dreamed of being a “Silver Sophisticate” myself.

You can download the data the project is based on here.

Here’s the good stuff for June.

It seems to have grown more common for basketball fans to complain that whoever wins the championship didn’t have to go through a legitimate challenge. If so and so wasn’t injured on the opposing team, so the naysayers claim, then such and such team wouldn’t have won. For The Pudding, Russell Samora made it easier to whine, based on an aptly named metric called CRUTCH.

The New York Times explores how noise impacts health:

Anyone who lives in a noisy environment, like the neighborhoods near this Brooklyn highway, may feel they have adapted to the cacophony. But data shows the opposite: Prior noise exposure primes the body to overreact, amplifying the negative effects.

I’m going to use this for the new reason my kids need quiet time.

Password rules seem to get more strict and weird over time. Neal Agarwal takes it to a ridiculous level, as Neal Agarwal likes to do. Enter a password that fits the rules, and another rule pops up until you find yourself with a password with a thousand wingdings.

United Airlines sold a lifetime unlimited pass in 1990 for $290,000. Tom Stuker bought one and has since flown 23 million miles over the decades. For The Washington Post, Rick Reilly, with graphics by Youyou Zhou, described the flight patterns of a man who figured out how to turn his unlimited miles into unlimited upgrades and gift cards.

To power the United States with more clean energy, you might think it’s just a matter of building more solar farms and wind turbines. But of course it’s more complicated. For The New York Times, Nadja Popovich and Brad Plumer describe and map the challenges:

America’s fragmented electric grid, which was largely built to accommodate coal and gas plants, is becoming a major obstacle to efforts to fight climate change.

Tapping into the nation’s vast supplies of wind and solar energy would be one of the cheapest ways to cut the emissions that are dangerously heating the planet, studies have found. That would mean building thousands of wind turbines across the gusty Great Plains and acres of solar arrays across the South, creating clean, low-cost electricity to power homes, vehicles and factories.

Andrew Hahn crocheted a map of Lake Mendota in Wisconsin. Each stitch represents 300 square meters and each layer represents 10 meters of depth. I should learn to crochet.

Learn more about your data and have more to visualize.

Color and contrast choices often are a product of personal preferences, but you can of course go deeper with it. Nate Baldwin provides an interactive guide on the perception of color and ties it to how it matters in the design of user interfaces:

This website is for designers to learn about color, contrast, and how it can affect experiences of a user interface. It provides quick access to relevant information at any point in the design process.

The content is thorough, but concise, and provides contextual insight to assist you in making educated decisions about color and contrast.

If you’re looking to switch or just want to expand your skills, this starter guide by Stephanie Lo provides some translations:

Are you curious about delving into the world of R programming? While Python remains the dominant choice amongst the data science community, with approximately 60% of developers using it in 2022, there are instances where R may pop up now and again. That’s because R is optimized for statistics and data. If you, like me, have a foundation in Python but now encounter job listings and internal company tasks that demand R skills, this article aims to break that down. We will explore the fundamental distinctions between Python and R and wrap the project into a data cleaning and visualization tutorial to ensure a smooth transition to R.

I mostly use R, but have always found it helpful to know some Python, especially when there’s some fun library to try.

Philippe Vandenbroeck and Santiago Ortiz were curious about a system that incorporated knowledge from a real person and ChatGPT, which is good for smushing text together in a coherent format. So they embedded text from Vandenbroeck into the ChatGPT model so that he could with himself. Ortiz describes the technical aspects of the system here.

See also the AI chatbot modeled on texts from a fiancee who passed. Looking back on our lives in a few decades is going to be weird.

For The New York Times, Agnes Chang and Keith Bradsher ask if it’s possible for the world to make EV batteries without China. Going over manufacturing and the materials involved, it looks like probably not:

Experts say it is next to impossible for any other country to become self-reliant in the battery supply chain, no matter if it has cheaper labor or finds other global partners. Companies anywhere in the world will look to form partnerships with Chinese manufacturers to enter or expand in the industry.

I appreciate the illustrative nature of these charts.

Based on migration data recently released by the IRS, Nami Sumida for the San Francisco Chronicle mapped where people moved to and away from. Enter your county to see what’s happening in your area.

In addition to the maps, there are tables for average income of those moving to and from counties. I wonder what the scatterplot would look like for leaving versus staying incomes.

Also, the IRS migration dataset always makes me think of Jon Bruner’s now defunct map from 2011.

Learn about who is looking at your work and how they interpret it.

Coming up on 40 years old, Emmett Shear, perhaps best known as a co-founder of Twitch, reflected on his time so far using a spreadsheet. He marked where he lived in the left column, years run top to bottom, and months run left to right. Cells are colored by the main thing going on in his life.

You can access the sheet here, in case you want to make one for your own life.

Putting this joke chart up for posterity, because it deserves it. The earliest version of this chart I could find was from 2019, but I’m almost certain it’s older than that. Please let me know if you know where the original is from.

Speaking of non-location in the seas, researchers at the University of California at Santa Cruz, NOAA Fisheries, and Global Fishing Watch are trying to use the absence of data to identify boats fishing illegally. Harry Stevens for The Washington Post has the maps showing when fishermen turned off their transponders to hide location.

There’s plenty of (missing) data, but the tricky part is figuring out if the shutoffs are during illegal activities or are just fishermen keeping their spots private from competitors and pirates. [Thanks, Michael]

The New York Times tracked oil tankers faking their location as they ignore sanctions but keep insurance that is contingent on following the sanctions:

“It’s significant when you look at dollar terms,” said Samir Madani, co-founder of TankerTrackers.com, which monitors global shipping, who first alerted The Times to several of the suspicious ships. “It’s around $1 billion worth of oil that is going under the radar while using Western insurance, and they’re using spoofing in order to preserve their Western insurance.”

The transition from fake data to satellite image reality is slick.

Perhaps to no one’s surprise, generative artificial intelligence models contain bias rooted in the data that drive them and by the people who design the systems. For Bloomberg, Leonardo Nicoletti and Dina Bass examined the extent to which the bias exists through the lens of Stable Diffusion.

Most of the piece is a rundown of what Stable Diffusion shows, but the biggest tell is the chart that compares the generated images against reality.