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Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

Welcome to Apache Pig! PiratePad para editar en tiempo real Otros de los espacios que ofrecen edición en tiempo real: PiratePad es un espacio creado por el Partido Pirata. La herramienta te permite crear/editar un documento de manera colectiva. Es como una especie de "pizarra virtual" para compartir ideas. Para crear el espacio se ha utilizado el código de EtherPad comprado por Google para desarrollar Google Docs pero al parecer Google liberó el código Se empieza a crear el documento directamente sin necesidad de registro, copiamos la dirección del enlace y lo compartimos con aquellas personas con las que vamos a trabajar. El programa asigna un color de texto a cada persona y así resulta fácil identificar las propuestas de cada cual y las modificaciones.

Staggering excess Business Insider calls this stacked bar chart "staggering" (link). Maybe they are referring to its complexity. Is there a reason to include all the fine details? It turns out there is an easy way to fix this chart. Instead of taking data from the right side of this tree, we can take data from the aggregated levels. It's amazing how much more we learn from this chart even though it has less data than the previous one. Similarly, we can plot a chart at the level of physical, psychological, social, etc., and it would still be much more readable than the "staggering" one. PS.

Home FlowingData | Data Visualization and Statistics Home » OpenStack Open Source Cloud Computing Software 50 Great Examples of Data Visualization Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information. And trying to find related content can also be difficult, depending on what data you’re looking for. But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner. Below are 50 of the best data visualizations and tools for creating your own visualizations out there, covering everything from Digg activity to network connectivity to what’s currently happening on Twitter. Music, Movies and Other Media Narratives 2.0 visualizes music. Liveplasma is a music and movie visualization app that aims to help you discover other musicians or movies you might enjoy. Tuneglue is another music visualization service. MusicMap is similar to TuneGlue in its interface, but seems slightly more intuitive. Digg, Twitter, Delicious, and Flickr Internet Visualizations

Eucalyptus - 云服务环境 Elastic Utility Computing Architecture for Linking Your Programs To Useful Systems (Eucalyptus) 是一种开源的软件基础结构,用来通过计算集群或工作站群实现弹性的、实用的云计算。它最初是美国加利福尼亚大学 Santa Barbara 计算机科学学院的一个研究项目,现在已经商业化,发展成为了 Eucalyptus Systems Inc。不过,Eucalyptus 仍然按开源项目那样维护和开发。Eucalyptus Systems 还在基于开源的 Eucalyptus 构建额外的产品;它还提供支持服务。 不管是源代码还是包安装,Eucalyptus 很容易安装在现今大多数 Linux® 发布版上。 它提供了如下这些高级特性: 与 EC2 和 S3 的接口兼容性(SOAP 接口和 REST 接口)。 架构 Eucalyptus 包含五个主要组件,它们能相互协作共同提供所需的云服务。 Cloud Controller (CLC) 在 Eucalyptus 云内,这是主要的控制器组件,负责管理整个系统。 Cluster Controller (CC) Eucalyptus 内的这个控制器组件负责管理整个虚拟实例网络。 Node Controller (NC) 它控制主机操作系统及相应的 hypervisor(Xen 或最近的 KVM,很快就会支持 VMWare)。 Walrus (W) 这个控制器组件管理对 Eucalyptus 内的存储服务的访问。 Storage Controller (SC) Eucalyptus 内的这个存储服务实现 Amazon 的 S3 接口。 一个 Eucalyptus 云安装可以聚合和管理来自一个或多个集群的资源。 在一个单一集群的安装中,如图 3 所示,将至少包含两个机器:一个机器运行 CC、SC 和 CLC;另一个机器运行 NC。 一个单集群 Eucalyptus 安装的拓扑 在多集群安装中,可以将各个组件(CC、SC、 NC 和 CLC)放置在单独的机器上。 一个多集群 Eucalyptus 安装的拓扑 在将 Eucalyptus 安装并应用到您的基础设施上之前,需要考虑硬件要求。 安装指南

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