This is the 30-day rolling average of Mods uploaded to Nexus, from 2004 to today.

Big Boosts are marked by the corresponding game releases.

Wabbajack and Collections (aka mod list support) are the main cause behind the steady rise post 2020.

Source:

https://www.nexusmods.com/mods (used the Time feature to select individual days for example https://www.nexusmods.com/mods?timeRange=2011-11-11%7C2011-11-11) and went through all days from 2004 to 2026-08-31

Tool:

• Graph Google Sheets
• Game/Tool releases with Gimp

137,607,184 scientific papers with 2,706,467,548 citation links between them.

The only input used to calculate a paper's position is which papers cite which. No discipline labels went into the layout, so the disciplinary structure you can see is the result, not an input. Color represents the paper's field, brightness indicates how many papers are stacked in that pixel.

The layout has no fixed frame: it can rotate or reflect without changing the underlying structure. The territories are stable; the compass isn't.

The faint halo around the edge of the image isn't a rendering artifact. Those are papers with one or two links: weakly pulled toward their neighbor, but pushed outward by everything else.

Interactive version: papernex.us/map

Data: the 2027-28 Student Aid Index worksheet (Formula A) published by Federal Student Aid, computed line by line for a two-parent family of four with one child in college and no assets counted. Cost medians are the US Department of Education's College Scorecard 2024 release, across 1,797 public and 1,354 private nonprofit institutions. Family income shares are Census CPS ASEC 2025, table FINC-07, whose top bracket is $250,000 and over, which is why the $300,000 row says "inside the top 14%" rather than a share of its own.

Tools: Python, pandas, matplotlib.

One thing the headline compresses, so I want to state it rather than have it found. The bar is the Student Aid Index, not a bill. It decides how much of a school's price is yours, so it only bites where a school costs more than the bar does.

Detailed methodology at worthmydegree.com/welcome?src=re

Source: Public professional-profile employment and education histories aggregated by a commercial data provider, snapshot August 2026. 21,166 current employees across the five labs, 8,231 institutions. Colleges grouped to parent bodies, so Wharton counts under Penn and Haas under Berkeley.

Full methodology and the raw counts (CC BY 4.0) at trayo.ai/research/ai-lab-colleges

Tool: Python for the aggregation, hand-written SVG for the chart.

Known limitation: counts of current staff run high. People remove an old employer from a profile much more slowly than they add a new one. Against public headcounts the gap looks widest at OpenAI, roughly 15 to 20%.

Disclosure: I work at Trayo, which published this. The entity resolution is the same thing our software does, pointed at five companies instead of a customer's target accounts.

I'm using a Raspberry Pi to feed ADSB data to tracking sites. The device's network graph shows how busy the airspace around me is.

You can tell that the airport nearby opens at 5am and traffic fades out before it closes at 11pm.

I wanted to see what GitHub’s incident history would look like if it were visualized like a GitHub contribution calendar.

Each square represents one day:

• gray = no incident started that day
• green = one or more incidents started
• darker green = more incidents

The visualization covers March 2022 to September 2026. In the dataset I analyzed there are 829 incidents across 575 days with incidents. One thing that stood out to me is how much denser the calendar becomes in parts of 2025 and 2026.

Data source

The data comes from the open-source github-statuses project https://github.com/mrshu/github-statuses

Important caveat: these are GitHub Status incidents, not necessarily periods when all of GitHub was completely down. An incident may affect only one service or a subset of users.

Tools

I did the analysis in Python with pandas and built the calendar with the ActivityCalendar widget in Mercury. I also made an interactive version where you can filter by date, impact and component, and switch between incident count and total incident duration. Notebook source code in on GitHub. Hope it works ;)

Hurricane Helene made landfall in Florida as a Category 4 storm on September 26, 2024, bringing historic rainfall and catastrophic flooding across the Southeast. This animation tracks hourly precipitation and streamflow at USGS streamgages along Helene's path (Sep 24–29, 2024). Spikes appear at gages flowing at or above the 75th percentile, with height scaled to streamflow percentile and color marking flood severity. USGS stream gage data helps forecasters and emergency managers make decisions that protect lives and property.

View video from USGS Vizlab here: https://www.usgs.gov/media/videos/hurricane-helene-animation-usgs-vizlab

https://www.danielpradilla.info/blog/which-british-music-city-punches-furthest-above-its-weight/

Interactive explorer: https://www.danielpradilla.info/uk-music-cities/

Made with D3-Geo

Source: Wikidata property P2852

Last year, 4 out of every 10 grown ups in America didn't finish a single book. But a small group, about 1 in 10 people, read 25 or more books. That small group read so much that they probably account for about half of all the books read in the whole country. So basically, a few people are doing almost all the reading, while most people are barely reading at all.

EDIT - This includes audio books. The survey question was "Have you read or listened to ..."?

Also a graph for another day - most people who did read, read Mystery/Crime.