State Transitions

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State Transitions

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Last edited Apr 13, 2017

Created on Apr 13, 2017

A Markov-chain simulation drives hundreds of circles through four discrete states, with transition probabilities sampled each timestep using `Math.random()`. Circles are positioned by a `d3.forceSimulation` with multi-foci `d3.forceX` and `d3.forceY` forces, and their colors map to states via `d3.scaleOrdinal`. A stacked bar chart records per-state node counts over 40 timesteps, while labels reposition dynamically. The example uses D3 v4, SVG rendering, and `d3.interval` to animate transitions, with the bar chart drawn as appended `rect` elements.

AI-generated description

This is a cleaned and simplified version of the state transitions animation used in the State Machines and Demand Modeling sections of the Stitch Fix Algorithms Tour.

The underlying simulation is based on a state transitions probability matrix, updating the states at each timestep. The multi-foci force layout acts on the associated updated foci associations for the circles. The bar chart on the right simply records the number of nodes in each state at each timestep.

forked from <a href='http://bl.ocks.org/bricof/'>bricof</a>'s block: <a href='http://bl.ocks.org/bricof/aff127297d7453ef18459cf52050ed6d'>State Transitions</a>

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