Aydin Sakar AydinSakar

## gist:6378906
<div ng-app="videoApp" ng-controller="VideoController">

    <table>
        <thead>
            <th>Title</th>
            <th>Length</th>
            <th></th>
        </thead>
        <tbody>
            <tr data-id="{{video.Id}}" ng-repeat="video in videos">

## visualization_in_js.md

      
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                AydinSakar
                / visualization_in_js.md
            
            
              Created
              August 25, 2013 12:23
                — forked from jexchan/visualization_in_js.md
            
          
    Data visualization in one of three most important steps in data mining (https://github.com/entaroadun/hnpickup). Often times, it's impossible to understand data without proper visualization. I went looking for great tools to do that.
JS visualization frameworks

Two website list recent JS visualization frameworks:

http://www.splashnology.com/article/15-awesome-free-javascript-charts/325/
http://sixrevisions.com/javascript/20-fresh-javascript-data-visualization-libraries/


## yahoo_exchange_rates_jsonp.html
Get exchange rate as JSONP via YQL.

YQL Console: http://developer.yahoo.com/yql/console

Query (USD to SEK): select rate,name from csv where url='http://download.finance.yahoo.com/d/quotes?s=USDSEK%3DX&f=l1n' and columns='rate,name'

Example code:

<script type="text/javascript">

## index.html
<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <style>
        body {
            font: 14px sans-serif;
        }
        .axis path, .axis line {
            fill: none;

## README.md

      
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                AydinSakar
                / README.md
            
            
              Created
              August 19, 2013 02:06
                — forked from mbostock/.block
            
          
    The first 15 seconds of the D3 show reel. See full video at http://vimeo.com/29862153. Includes seamless transitions between the following visualization types:

lines
horizons
areas
stacked areas
streamgraph
overlapping areas
grouped bars
stacked bars


## index.html
<!DOCTYPE html>
<html>
  <head>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?1.25.0"></script>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.time.js?1.25.0"></script>
    <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.6.2/jquery.min.js"></script>
  </head>
  <body>

    <div id="chart"></div>

## gist:6245615
// This F# dojo is directly inspired by the
// Digit Recognizer competition from Kaggle.com:
// http://www.kaggle.com/c/digit-recognizer
// The datasets below are simply shorter versions of
// the training dataset from Kaggle.

// The goal of the dojo will be to
// create a classifier that uses training data
// to recognize hand-written digits, and
// evaluate the quality of our classifier

## mongosync.js
// backbone.sync adaptor that uses mongojs to store models
// returns a q.defer().promise
'use strict';

var mongojs = require('mongojs');
var q = require('q');

module.exports = function (method, model, options) {
  var app = require('../app');
  var d = q.defer();

## .gitignore
jekyll

## import.rb
require 'rubygems'
require 'nokogiri'
require 'fileutils'
require 'date'
require 'uri'

# usage: ruby import.rb my-blog.xml
# my-blog.xml is a file from Settings -> Basic -> Export in blogger.

data = File.read ARGV[0]
	<div ng-app="videoApp" ng-controller="VideoController">

	<table>
	<thead>
	<th>Title</th>
	<th>Length</th>
	<th></th>
	</thead>
	<tbody>
	<tr data-id="{{video.Id}}" ng-repeat="video in videos">
	Get exchange rate as JSONP via YQL.

	YQL Console: http://developer.yahoo.com/yql/console

	Query (USD to SEK): select rate,name from csv where url='http://download.finance.yahoo.com/d/quotes?s=USDSEK%3DX&f=l1n' and columns='rate,name'

	Example code:

	<script type="text/javascript">
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<style>
	body {
	font: 14px sans-serif;
	}
	.axis path, .axis line {
	fill: none;
	// This F# dojo is directly inspired by the
	// Digit Recognizer competition from Kaggle.com:
	// http://www.kaggle.com/c/digit-recognizer
	// The datasets below are simply shorter versions of
	// the training dataset from Kaggle.

	// The goal of the dojo will be to
	// create a classifier that uses training data
	// to recognize hand-written digits, and
	// evaluate the quality of our classifier
	// backbone.sync adaptor that uses mongojs to store models
	// returns a q.defer().promise
	'use strict';

	var mongojs = require('mongojs');
	var q = require('q');

	module.exports = function (method, model, options) {
	var app = require('../app');
	var d = q.defer();
	require 'rubygems'
	require 'nokogiri'
	require 'fileutils'
	require 'date'
	require 'uri'

	# usage: ruby import.rb my-blog.xml
	# my-blog.xml is a file from Settings -> Basic -> Export in blogger.

	data = File.read ARGV[0]