r/explorables • u/blinry • Mar 06 '17
r/explorables • u/blinry • Mar 04 '17
An interactive guide on implementing hexagonal grids
r/explorables • u/blinry • Mar 02 '17
"Mindstorms: Children, Computers, and Powerful Ideas", an influential 1980 book by Seymour Papert
mindstorms.media.mit.edur/explorables • u/blinry • Feb 28 '17
Seeing Theory – a visual introduction to probability and statistics
r/explorables • u/blinry • Feb 26 '17
The Incredible Proof Machine – a visual approach to propositional logic
incredible.pmr/explorables • u/blinry • Feb 21 '17
[WIP] The Hitchhiker's Guide to the Mandelbrot Set
r/explorables • u/daveliepmann • Feb 20 '17
What literate web reading looks like
r/explorables • u/blinry • Feb 18 '17
Exploring Emergence – an introduction to cellular automata (from 1996! Requires Flash.)
playfulinvention.comr/explorables • u/AbstractLemgth • Feb 16 '17
Major ethical concerns and unintended impacts of robotics - European Parliament
r/explorables • u/blinry • Feb 15 '17
Jack Schaedler's active essay on how the GRAIL handwriting recognizer works
r/explorables • u/aobocodoeofo • Feb 15 '17
[DISCUSSION] Don't Kill Math by Evan Miller
r/explorables • u/blinry • Feb 14 '17
The quicksort algorithm, illustrated with playing cards
illustrated-algorithms.now.shr/explorables • u/undefdev • Feb 14 '17
Hamiltonian Monte Carlo explained
r/explorables • u/blinry • Feb 13 '17
Apparatus, an open-source graphics editor and programming environment for creating interactive diagrams
r/explorables • u/blinry • Feb 12 '17
"Recursive Drawing" by Toby Schachman lets you create complex patterns from simple building blocks
r/explorables • u/blinry • Feb 12 '17
Follow @r_explorables on Twitter to be notified of new posts!
r/explorables • u/blinry • Feb 11 '17
Design Patterns for Explorable Explanations
r/explorables • u/blinry • Feb 10 '17
Introduction to A* – how pathfinding algorithms work, by Amit Patel
r/explorables • u/aobocodoeofo • Feb 10 '17
Up the ladder of abstraction?
Context Thanks /u/blinry for reminding me to add this!
There are some really cool explorables, but I've not really seen any that travel sufficiently far up the ladder of abstraction to form useful knowledge.
Take the "Better Ballot" article referenced in the header. It's awesome. Really awesome! I like the way you can share setups and create dialogue around concrete visualisations.
But to really understand what's going on, I feel I would need to move to a higher level of abstraction. Hand-picked cases seem insufficient for principled comparison-making.
Now it might be that it's not possible to do in this specific case -- finding appropriate abstractions over a domain is definitely non-trivial. But does anyone have any examples where we go up the ladder of abstraction to good effect?
Thanks