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woah! today was my first day at @observablehq and I am so excited 😆

if you've followed me at all, you know this is a dream job: making it easier to use / play / think with #d3js will be a big part of my focus...

i mean, just look at this stuff! observablehq.com/@d3/gallery
I don't yet know exactly how this will manifest.

I drew this diagram 5 years ago about where I like to focus my energy in the product development process.

@observablehq notebooks basically let me stay in "the fun" all the time...

but the definition of fun is relative!
when I first started learning #d3js I banged my head against the wall for 2 reasons:
1) I didn't understand the browser (DOM, JS, CSS etc.)
2) I didn't know how to think with d3: declaratively and data-driven.

Once I got a handle on these 2, the power (and the fun) came out...
one thing I'm especially excited about is @observablehq's potential for helping people think, both with #d3js and in broader ways.

just like with d3 there are a ton of examples of this potential out there, and I've gotten a little taste as I've dabbled in it recently...
so now it's time to get to work helping to enable that potential. I don't yet know exactly how, and I plan to figure it out with you!

i'll share more detailed thoughts here: enjalot.substack.com
and stream-of-consciousness here: twitch.tv/enjalot

please DO @ me 😅
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Ian Johnson
@enjalot
I remember when AJAX was the new hotness in 2005 (it had been in IE for 6 years at that point). IE6 still mattered. git was just invented. there were magazines about code.

Your struggle is real, here is a thread on why I think it's all gonna be ok.
This thread is not a personal response to the OP but an attempt to share my perspective with the community.

Anyway, the reality certainly is that there are a ton of ways to build things, and constantly adding more. It can be hard to see where the fundamentals are underneath.
I did nothing but #reactjs for a solid year in 2015. I didn't really touch it again until a month ago.

It felt like nothing changed in 5 years, because fundamentally nothing did.
Read 19 tweets
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Ian Johnson
@enjalot
24. when I do datavis I iterate a lot and explore the space of both the data as well as the space of possible representations. mostly that means drawing a lot of small rectangles and seeing if anything pops out
25. t-sne, UMAP and dimensionality reduction will make that process much more fun and interesting
26. navigating, collecting and annotating representation spaces is a key challenge to tackle right now, as it's already a nexus for ML & vis
Read 80 tweets
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Ian Johnson
@enjalot
love reading the threads, want to challenge myself:

Machine Learning <-> Data visualization

1 like = 1 opinion
1. all data is subjective.

data are measurements of systems taken by particular people from a particular perspective
2. the future of data visualization is machine learning.
Read 23 tweets

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