I’ve build a prototype visual exploration tool for the connectome of c. elegans. The data describing the worm’s neural network is preprocessed from publicly available information and stored as a graph database in neo4j. The d3.js visualization then fetches either the whole network or a subgraph and displays it using a force-directed layout (for now).
Articles in the Data Apps category
Dash+ visualization of running data
Dash+ is a python web application I built with Flask, which imports Nike+ running data into a NoSQL database (MongoDB) and uses D3.js to visualize and analyze it.
The app is work in progress and primarily intended as a personal playground for exploring d3 visualization of my own running data. Having said that, if you want to fork your own version on github, simply add your Nike access token in the corresponding file.