🚨 BIG NEWS!! 🚨 My new book about the oceans is now available for pre-orders! Great for kids ages 7-12 (or even adults!) who like a hilarious story with lots of science in it. Pre-order your copies now: www.amazon.com/gp/aw/d/1419... (Book #4 in the GreatBigUniverse.net series)
I had built it for internal exploration and didn't originally intend to publish it anywhere, so it's not the prettiest tool and the code is rough around the edges. But if you need a starting point for Bluesky user analysis in Python, feel free to grab the code.
I had a client project that needed Bluesky analysis, so I explored the ATProto Python package & built a quick Streamlit app along the way. It pulls in a user's recent posts and shows metrics, top topics, and who they interact with most.
🔗 bluesky-user-analysis.streamlit.app
#ATProto #DataAnalysis
this is such a terrible idea
it violates every decent programming principle (like DRY)
it wastes massive resources by design
it fractures all the good things about shared libraries, & isolates users bc nobody’s code will be identical
this is basically juicero for code on steroids
Data/design folks, what is your favorite visual that focuses on the human cost of violence, tragedies and disasters? The most emotionally impactful visualization? The most visually striking?
Please share! I'd like to get as many examples as possible.
The impact is already hitting science agencies hard. The NIH—the world's largest public biomedical research funder—has had to rely on leftover stopgap funds.
New grant awards have slowed to a trickle — exacerbating the effects of a record-long shutdown in October.
(h/t @jeremymberg.bsky.social)
This is a great 2-part series on identifying issues with charts that are going viral. The challenge with articles like this is that the people who most need to read them are usually the least likely to.
www.noahpinion.blog/p/how-not-to...
In my latest article, I walk through using OpenSearch from a Python app, including setting up an index, indexing documents, and performing different types of searches. Check it out: frankcorso.me/opensearch-p...
New feature in the Positron Notebook Editor: Inline data-explorer view. Whenever you print a pandas or polars dataframe you get an inline interactive view powered by Positron's data explorer. This allows you to view and sort massive dataframes.
In my latest article, I walk through using OpenSearch from a Python app, including setting up an index, indexing documents, and performing different types of searches. Check it out: frankcorso.me/opensearch-p...
Paper day! My latest first-author work is out!! TLDR: I built a suite of simulations based on SIMBA that varies the energetic efficiency of different modes of AGN feedback. We explored how these modes impacted different galaxy and gas properties and uncovered degeneracies in the parameter space 🧪🔭
I just set up Litestream on a side project a couple weeks ago. Super easy and works great.
A 1990s "Read" poster with Miss Piggy lounging and reading dressed as Cleopatra and Kermit standing behind her dressed as Julius Ceasar holding a stack of books. The caption at the bottom reads: "some of you are looksmaxxing when you need to be booksmaxxing"
My best attempt
Chord diagram showing the connections of various Pokémon types to each other for Pokémon with 2 types. Shows a lot of connections between Normal type and Flying type. Grass, Flying, Poison, Bug, and Water have some of the most connections, while Ice, Fire, and Electric have some of the fewest connections.
A chord diagram is a fun way to visualize connections. It can show both which values are most connected & which have the fewest/most connections.
In a recent post, I walked through creating a chord diagram using Holoviews from a dataframe. Check it out: frankcorso.me/chord-diagra...
illustration of world map showing pinpoints for shark attacks clustered heavily around the Australian and United States coasts with the label Shark Bites 2025, all of which are detailed in reports and charts through the linked article
a graphic titled Shark Bites 2025 with a pie charts showing the top 7 states by shark bites and tips to reduce risks, as well as several stats all presented in detail on the report story in link. The top states in order are Florida, California, Hawaii, South Carolina, New York, North Carolina and Texas. Notes are the 100 percent drop in bites over 2024, and that there are 548 known shark species but only 13 known to have bitten people 10 or more times ever
a bar chart covering thirty years from 1996 through 2025 with the very lower part of each bar in orange showing fatalities and the rest of each bar in yellow showing bites, highlighting 20 year global average of 71 bites and 6 fatalities, and a chart that shows2025 higher than 2024 but lower than 2023, all information available in detail on the report story in link
Our annual shark bite report for 2025 is now available online. The global shark bite numbers return to average last year, with a smaller proportion in the United States.
📉 Full story and data: www.floridamuseum.ufl.edu/science/glob...
Summary report: www.floridamuseum.ufl.edu/shark-attack...
Today, Apple Podcasts announced a new "video podcast experience."
For anyone interested, @stephenrobles.com has a nice overview of hwo it works here:
www.youtube.com/watch?v=xu_k...
Top of the page on the new GNV Tech Chats website. Says "Where Gainesville's tech community connects" with a description of "Connect with developers, designers, AI engineers, and tech enthusiasts. Whether you're a seasoned pro or just starting out, you belong here."
Now that GNV Tech Chats has >200 Meetup members, I want to build a presence outside Meetup to make it easier to find, and have an email newsletter that includes other tech events around town. Spending some time today creating the basic landing page for it: gnvtechchats.com
#GNV #Gainesville
We are announcing "Python Unplugged on PyTV"!
Join us for a free online conference bringing together the leading voices of the #Python community.
📺 Live on YouTube
🗓 March 4, 2026
⏰ 11:00 am – 6:30 pm CET
The best of Python, straight to your living room. Save the date: https://jb.gg/ztocbe
Happy Love Data Week! 💘
Issue 32 of RDM Weekly is out!
➡️ Creating a Data Sharing Community @harvarddataverse.bsky.social
➡️ Affording Reusable Data @nature.com
➡️ README Checklist @christophscheuch.bsky.social
➡️ Project Management Tools
and more!
#rdmweekly
rdmweekly.substack.com/p/rdm-weekly...
In case you missed it: my full, free, open course on accessibility and visualization is out!
Of course, revenue only reflects raw sales, and we'd have to look at profit and EBITA to really see where the differences are. But, it was still fun to explore with.
After removing them, I noticed a couple of interesting points:
1. CVS is grouped closer to the healthcare and tech companies than the retail companies
2. Exxon Mobil has extremely high revenue per employee, even higher than a lot of tech companies
I discovered that Walmart and Amazon have 5x as many employees as the next companies, so I couldn't even see most of the companies on the chart with them in it. I didn't realize just how large their workforce is.
Scatterplot with title of Revenue vs Number of Employees for Fortune 500. The number of employees goes 0 to over 400,000 and revenue goes 0 to over 400 billion dollars in USD. Some of the outliers are labelled, such as Target and Home Depot having higher employees but only mid-range of revenue with CVS, Alphabet, Apple, and Exxon Mobile having much higher revenue with fewer employees.
I am working on a new guide for creating scatterplots with the Python Seaborn package and thought I'd use a Fortune 500 dataset for the examples. I was curious to see how revenue compares against the number of employees.
#DataAnalysis
We are excited to launch the Data Checkup–a health check for federal data collections.
The Data Checkup is a comprehensive framework for assessing the health of federal data collections, highlighting key dimensions of risk and presenting a clear status of data well-being.
Learn more below.
"Ten simple rules for teaching data science": arxiv.org/abs/2602.02874
A new preprint by @minecr.bsky.social and myself. We'd love any feedback!
IMPORTANT ANNOUNCEMENT
As of January 1st 2026, John and I are **no longer** the owners of Complexly (the educational media company we started 15 years ago that makes Crash Course, Eons, SciShow, Study Hall, and a bunch of other shows.)
We have been the sole owners for all that time...
Do you like Typer? ⌨️
Fill the Typer developer survey and help us define its future ✨
forms.gle/uT8SYQRoxuPz...
Finally! My book Super Nintendo is out TODAY in the US + Canada. Here's where to buy it: www.penguinrandomhouse.com/books/753986...
"MacDonald is one of the best games journalists... Here is a book bursting with love. Bop your head against it and see if a shower of gold coins comes out." -The Times
Analyzing Data with AI Assistants Join us with Sara Altman Tues, Feb 3 @ 12 pm ET pos.it/dslab
Join us on Tuesday at the Data Science Lab 🧪 We are joined by @sara-altman.bsky.social, who will show us how to explore and analyze data using AI assistants in #RStats or #Python!
Feb 3 @ 12 pm ET: pos.it/dslab
