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Tools on Datavisualization

Tools on Datavisualization
A Carefully Selected List of Recommended Tools 07 May 2012 Tools Flash, JavaScript, Processing, R When I meet with people and talk about our work, I get asked a lot what technology we use to create interactive and dynamic data visualizations. To help you get started, we have put together a selection of the tools we use the most and that we enjoy working with. Read more Pathline: Connecting Designers With Scientists 18 Apr 2012 Tools We recently attended an interdisciplinary visualization workshop that was all about creating a dialogue between scientists, technologists and designers. New Maps for the Web by Stamen 22 Mar 2012 Tools JavaScript, Mapping I just left the Stamen studio where I had a brief chat with founder and CEO Eric Rodenbeck. The Visualizing Player 19 Jul 2011 Showcases, Tools Visualizing.org launched their brand new Visualizing Player, a terrific tool for embedding interactive and static data visualizations. Working with Data in Protovis 17 Feb 2011 Tools JavaScript, Tutorial

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A Tour through the Visualisation Zoo Related Content Visualizing System Latency Heat maps are a unique and powerful way to visualize latency data. Explaining the results, however, is an ongoing challenge. Free Data Visualization Tools Want to create your own maps, graphs, charts, and diagrams but don’t have the software or graphic design degree to do it? Here are five top-notch applications which will let you create professional quality data visualizations for free. Stat Planet Used by the UN, NASA, and many Fortune 500 companies, Stat Planet will let you create customizable, interactive maps or graphs with data you import.

Principal Component Analysis step by step In this article I want to explain how a Principal Component Analysis (PCA) works by implementing it in Python step by step. At the end we will compare the results to the more convenient Python PCA()classes that are available through the popular matplotlib and scipy libraries and discuss how they differ. The main purposes of a principal component analysis are the analysis of data to identify patterns and finding patterns to reduce the dimensions of the dataset with minimal loss of information. Here, our desired outcome of the principal component analysis is to project a feature space (our dataset consisting of n x d-dimensional samples) onto a smaller subspace that represents our data "well". A possible application would be a pattern classification task, where we want to reduce the computational costs and the error of parameter estimation by reducing the number of dimensions of our feature space by extracting a subspace that describes our data "best". What is a "good" subspace?

Outlook Duplicate Items Remover Free, Fast and easy tool for removing duplicate items from Outlook folders With ODIR it's a snap to clean your Outlook folders by removing all duplicates. ODIR removes duplicates from Contacts; Calendar; Tasks; Notes and Email folders. Free Online Data Training Data visualization basic training; from spreadsheet to data mapping. kdmcBerkeley is offering four free online training courses in data journalism. You'll learn basic data visualization skills, from spreadsheets to data mapping. Each of the four one-hour long courses builds upon the other; register for all four sessions or choose the session that best meets your needs. Each course is offered twice, once at 10am PST and then again at 1pm PST.

Les 50 plus beaux graphiques... Studyscape Patrick Vuarnoz Suitmen Life Map 8 useful open source information graphics software information graphics are visual representations of information , data or knowledge. These graphics are mostly used where complex information need a simple explanation, such as in signs, maps, journalism, technical writing, and education. thus tools are mostly use by computer scientists, mathematicians, and statisticians to ease the process of developing and communicating conceptual information. — Wikipedia Here is a list of 8 useful open source information graphics software to create any kind of information graphics. GeoGebra Geometry diagrams tool GeoGebra is free and multi-platform dynamic mathematics software for all levels of education that joins arithmetic, geometry, algebra and calculus. It offers multiple representations of objects in its graphics, algebra, and spreadsheet views that are all dynamically linked.

VC blog Posted: February 19th, 2014 | Author: Manuel Lima | Filed under: Uncategorized | No Comments » As many readers might have noticed, from my first and most recent book, I’m slightly obsessed with medieval information design, and the remarkable work of many our visualization forefathers, such as Isidore of Seville (ca. 560–636), Lambert of Saint-Omer (ca. 1061–ca. 1125), or Joachim of Fiore (ca. 1135–1202). An important figure in this context was the German historian and cartographer Hartmann Schedel (1440–1514). In 1493, in the city of Nuremberg, Germany, Schedel published a remarkable, densely illustrated and technically advanced incunabulum (a book printed before 1501), entitled the Nuremberg Chronicle. Also know as Liber Chronicarum (Book of Chronicles), this universal history of the world was compiled from older and contemporary sources, and comprised 1,809 woodcuts produced from 645 blocks. You can read more about Taschen’s copy here and here.

Learn how to use Gephi Welcome to Gephi! Gephi is an open-source software for visualizing and analysing large networks graphs. Gephi uses a 3D render engine to display graphs in real-time and speed up the exploration. You can use it to explore, analyse, spatialise, filter, cluterize, manipulate and export all types of graphs. Getting Started New to Gephi? Blog An introductory comparison of using the two languages. Background R was made especially for data analysis and graphics.

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