<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>D3 on Karpoke - Just Another Blog</title><link>http://karpoke.ignaciocano.com/tags/d3/</link><description>Recent content in D3 on Karpoke - Just Another Blog</description><generator>Hugo -- 0.167.0</generator><language>es</language><lastBuildDate>Sun, 29 Jun 2014 18:52:00 +0100</lastBuildDate><atom:link href="http://karpoke.ignaciocano.com/tags/d3/index.xml" rel="self" type="application/rss+xml"/><item><title>Visualizing Algorithms</title><link>http://karpoke.ignaciocano.com/2014/06/29/visualizing-algorithms/</link><pubDate>Sun, 29 Jun 2014 18:52:00 +0100</pubDate><guid>http://karpoke.ignaciocano.com/2014/06/29/visualizing-algorithms/</guid><description>&lt;blockquote&gt;
&lt;p&gt;Algorithms are a fascinating use case for visualization. To visualize
an algorithm, we don’t merely fit data to a chart; there is no primary
dataset. Instead there are logical rules that describe behavior. This
may be why algorithm visualizations are so unusual, as designers
experiment with novel forms to better communicate. This is reason
enough to study them. But algorithms are also a reminder that
visualization is more than a tool for finding patterns in data.
Visualization leverages the human visual system to augment human
intellect: we can use it to better understand these important abstract
processes, and perhaps other things, too.&lt;/p&gt;
&lt;/blockquote&gt;</description></item></channel></rss>