My personal analogy is that Christopher Nolan studied English: learning how to think about a script is as important as the skills a director needs to make a movie (if even someone/something else does the work). Same for CS vs coding.
My personal analogy is that Christopher Nolan studied English: learning how to think about a script is as important as the skills a director needs to make a movie (if even someone/something else does the work). Same for CS vs coding.
(This is the new motto of everyone leaning into agentic coding)
(This is the new motto of everyone leaning into agentic coding)
A new tool slotting smoothly into an existing project is nice. It really jibes with my way of thinking to have the coding agent use a real-but-lightweight issue tracker. Good summary from Claude on completion.
A new tool slotting smoothly into an existing project is nice. It really jibes with my way of thinking to have the coding agent use a real-but-lightweight issue tracker. Good summary from Claude on completion.
The {ggCheysson} 📦 brings the graphical styles of the Albums de Statistique Graphique to R and ggplot2.
Not yet on CRAN, and still under development.
friendly.github.io/ggCheysson/
In the updated episode, we discussed:
→ Why they worked in secret for a year
→ Why 99% of analytics workloads don't need distributed systems
datatalks.rilldata.com
In the updated episode, we discussed:
→ Why they worked in secret for a year
→ Why 99% of analytics workloads don't need distributed systems
datatalks.rilldata.com
Not so easy to get right since not all state should be in URL, and weirdness can happen with permissions. Always worth it though.
alfy.blog/2025/10/31/y...
Not so easy to get right since not all state should be in URL, and weirdness can happen with permissions. Always worth it though.
alfy.blog/2025/10/31/y...
The goal of each Rill dashboard is to provide users with metrics & dimensions for various use cases and to create an interactive experience to cut data in any form.
www.youtube.com/playlist?lis...
The goal of each Rill dashboard is to provide users with metrics & dimensions for various use cases and to create an interactive experience to cut data in any form.
www.youtube.com/playlist?lis...
- Forgive yourself your first recordings. You’ll get better, but first you must ship.
- You do get used to yourself. Enough so you’re focused on what you’re trying to achieve.
- The only criticism that really hurts is of your ideas. Same risk as writing them down!
- Forgive yourself your first recordings. You’ll get better, but first you must ship.
- You do get used to yourself. Enough so you’re focused on what you’re trying to achieve.
- The only criticism that really hurts is of your ideas. Same risk as writing them down!
“Artifice” implies dishonesty but it’s like learning an instrument: authentic performance takes lots of practice.
Without practice, the audience pays more attention to the quality of the performance than anything you actually say.
“Artifice” implies dishonesty but it’s like learning an instrument: authentic performance takes lots of practice.
Without practice, the audience pays more attention to the quality of the performance than anything you actually say.
Oh LLM sycophants, I may talk like it (it's a professional hazard in tech), but it really isn't true.
Oh LLM sycophants, I may talk like it (it's a professional hazard in tech), but it really isn't true.
dazzle.fm/stats
Seeing surges of discussion around a topic and working backwards to figure out what caused the spike is a fun past time
The 1am science spike is still a mystery though
dazzle.fm/stats
Seeing surges of discussion around a topic and working backwards to figure out what caused the spike is a fun past time
The 1am science spike is still a mystery though
🧩 New modular API
⚡️ Highly performant
🖱️ Scroll-linked animations
🫵 Draggables
↔️ Responsive
✨ Additive animations
🪽 WAAPI support
And so much more!
Check out the new website animejs.com!
rmoff.net/2025/02/28/e...
#dataBS
rmoff.net/2025/02/28/e...
#dataBS
Me: "That's the documentation deliverable."
Manager: "What's the status of that?"
Me: "We're halfway there"
Manager: "Why is progress so slow?"
Me: "You fired Tommy"
Manager: "So?"
Me: "Tommy used to work on the docs"
Me: "That's the documentation deliverable."
Manager: "What's the status of that?"
Me: "We're halfway there"
Manager: "Why is progress so slow?"
Me: "You fired Tommy"
Manager: "So?"
Me: "Tommy used to work on the docs"
Tried uv recently when I got a new machine, and was gearing up to review my Python setup.
It’s sooooo much better. Good infra. Recommended.
Happy birthday, uv! 🥳
Tried uv recently when I got a new machine, and was gearing up to review my Python setup.
It’s sooooo much better. Good infra. Recommended.
- data needs wrangling
- viz work is 10x faster with data tools
- most data does not “speak” w/o normalisation, or variance, or cohorting, or …
- viz gurus make *interactive* tools
- can export viz to vector formats for design collab.
- data needs wrangling
- viz work is 10x faster with data tools
- most data does not “speak” w/o normalisation, or variance, or cohorting, or …
- viz gurus make *interactive* tools
- can export viz to vector formats for design collab.
But can’t think of any full time, long term, inhouse data viz specialists. Except maybe outsourced labour churning out dashboards.
Isn’t good viz work better paid as design, analysis, engineering, strategy, etc?
But can’t think of any full time, long term, inhouse data viz specialists. Except maybe outsourced labour churning out dashboards.
Isn’t good viz work better paid as design, analysis, engineering, strategy, etc?