Sitemap - 2023 - Counting Stuff
Work in progress: a newsletter move
Tools For Fighting The Data Monster
Working in data as a "meh programmer"
In the future, we'll work with unstructured data at ~Scale~
Reflecting on our toolbox mastery
Enjoying not being "the sexiest job" any more
Finding work at work on your own
I don't know how to move satisfaction
Solving the problems in front of you
Organizing Data is Picking What you Care About
Cursed with reading systems from data
Uhoh, I'm doing a PyData NYC 2023 talk
Make your own space pictures with big telescope data!
Following up on all-in-ones, plus a mishmash
Everything tries to become a one-stop-shop
Data design has nothing on process design
Craftsmanship is a state of mind
How people were (math) precise before modern times
A lot of 13th century counting
We still build tools and should share them more
An evening of maps. Actively changing maps.
We don't talk about communicating well
SPF is a pretty unhelpful unit
The value in de-abstracting numbers
It's still worth running a small server in 2023
Most can learn analysis, but won't become analysts
Calls to actions, "like and subscribe", are (sadly) necessary
The data-sphere seems to be drifting apart more
A day(?) in my life as a Quant UX Researcher
How does the Air Quality Index work anyways?
I am terrible at talking about my achievements
When the AI comes for my coding job...
Remember to check your stress levels
Data DIY in the age of industrial pickaxes and shovels
Hobby break! Keyboard building
Learning what actually underpins your data
My processes barely save me from myself
The reasonable(?) effectiveness of data analysis
We should watch people dissect and build products
🙄 The AI is coming for my UX job
When your product's like a tax form
The mythical single source of truth
"Single panes of glass" are horrible
How the heck does one measure color?
Square footage is so broken and weird
😔 Everyone'll have an LLM...
DS work doesn't have to be purely discovery work
Data scientist, working without data
A couple of weeks wading in contextless metrics
Mini Recap: Data Mishaps Night
When are we just speaking for a model
Learning to go from creating to editing
Ugh, the "ai war"(🤮) or whatever is upon us
Internalizing baselines is hard
New year, new chances to get together
There's dashboards all around us that are USED
Watching data science in a fraud lawsuit filing is fun!
Learning from running out of memory all the time
Everyone You'll Ever Meet Knows Something You Don't
Writing posts, maybe as a guest!