solenoid

Inspiration

Came from wanting to look at the underlying data behind this article explaining which presidential party is better for GDP.

Sparked interest in looking at the underlying data more closely.

Data

We're only showing 1961-2014 data which means the end of Obama's term isn't included.

GDP growth (annual %)

Downloaded from the worldbank data and then cleaned a bit and checked in.

solenoid

var _ = require('underscore'),
    d3 = require('d3');

// This is an example of some functional heavy code used at Yieldbot

// prepare raw data into 20 minute buckets and
// return data along with relevant max info and scale functions
var prep = function (data) {
    var total = 0;
    var prepared = _.map(_.keys(data), function (hour) {

solenoid

if 'GET' == request.method:
    resources = []
    for resource in mongo_collection.find():
        resource['id'] = str(resource['_id'])
        del resource['_id']
        resources.append(resource)
    content = json.dumps(resources)
    return HttpResponse(content=content, mimetype='application/javascript')
if 'POST' == request.method:
    raw_data = StringIO.StringIO(request.raw_post_data)

solenoid

var mongoObjectId = function () {
    var timestamp = (new Date().getTime() / 1000 | 0).toString(16);
    return timestamp + 'xxxxxxxxxxxxxxxx'.replace(/[x]/g, function() {
        return (Math.random() * 16 | 0).toString(16);
    }).toLowerCase();
};

solenoid

class Mammal 
    constructor: (@species, @defining_char) ->
    print: -> 
        "Hello I'm a #{@species}. I have #{@defining_char}." 

cat = new Mammal('cat', 'claws') 
alert(cat.print())