I hereby claim:
- I am aydinsakar on github.
- I am aydinsakar (https://keybase.io/aydinsakar) on keybase.
- I have a public key whose fingerprint is E87C 2993 16A9 F99F 3987 E6C8 42FA 7A10 D92C 4229
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
<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"> |
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.
Two website list recent JS visualization frameworks:
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; |
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:
<!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> |
svg { | |
background-color: #FFF; | |
cursor: default; | |
-webkit-user-select: none; | |
-moz-user-select: none; | |
-ms-user-select: none; | |
-o-user-select: none; | |
user-select: none; | |
} |
<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<title>Directed Graph Editor</title> | |
<link rel="stylesheet" href="app.css"> | |
</head> | |
<body> | |
</body> |
// 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 |