How to Make an Interactive Network Visualization Networks! They are all around us. The universe is filled with systems and structures that can be organized as networks. Recently, we have seen them used to convict criminals, visualize friendships, and even to describe cereal ingredient combinations. Xiaoji Chen's Design Weblog » Health Infoscape Senseable City Lab partnered with GE to create new ways of understanding human health. Our team created a disease network by analyzing data from over 7.2 million anonymized electronic medical records, taken from between January 2005 and July 2010, across the United States. Barabasi’s lab has published their disease networks generated by genetic similarity in 2007. In our first attempt, diseases/disorders are considered associated if a patient has got them at the same time or sequentially. The resulting network gives us new insight as to how closely connected some seemingly un-related health conditions might be.
GeoFlow Plugin For Excel Will Let Make Spatio-Temporal Visualizations Directly From Excel! Home / Featured • GIScience / GeoFlow Plugin For Excel Will Let Make Spatio-Temporal Visualizations Directly From Excel! Excel is really powerful tool for playing with big data (especially with Power Pivot plugin) however spatial visualization of this data requires going back and forth to GIS software, joining tables or geocoding. Doable but time-consuming. Getting started with visualization after getting started with visualization It's easy these days to get started with visualization. There are a lot of resources — books, tutorials, blogs, and classes — to help you learn, and the many new and old software applications let you work with data right away, point and click. You don't have to stop here though.
Graphical visualization of text similarities in essays in a book The problem A collection of essays is collated for readers with visualizing graphics. The graphics should both serve as a thematic and structural overview of each text, and pose the essay in question in relation to the other essays in the book. They should be both an abbreviation of the text and the key to decoding the complex issues under discussion. The difficulty in developing appropriate graphics arises from the level of discussion of the key themes.
Xiaoji Chen's Design Weblog » Power Chart of Chinese Provinces Economist just posts an interactive visualization Chinese Equivalents on their website. It’s a very interesting approach. (Somehow I feel it has an psychological side-effect by saying one province is equivalent to France while it’s neighbor is equivalent to Kenya, though noted in terms of population.) Doug McCune - Programmer/Data Artist I’ve been working on a utility called shp2stl that converts geographic data in shapefiles to 3D models, suitable for 3D printing. The code is published as a NodeJS package, available on npm and GitHub. You can control the height of each shape by specifying an attribute of your data to use. Each shape will be placed along the z-axis based on the shape’s value relative to the max range in the data. Additionally, if you want more detailed control you can specify a function to use to extrude each shape.
Clement Levallois - Teaching and training This course is offered to Bachelor students from all departments at Erasmus University. An initiative of the Erasmus Studio, it is coordinated by , with and me as co-teachers of three separate modules in it. Franciska de Jong, Renske Jongbloed and Kees Mandemakers also participate in the lectures.
How To Use Simple Excel Functions for Data Analysis In this series of video tutorials, ICIJ reporter Kate Willson demonstrates four basic yet essential Excel functions to assist with data analysis during investigative reporting. Want to see any other video tutorials about Computer-Assisted Reporting? Please let us know either in the comments below or at firstname.lastname@example.org. Interested in viewing more of our investigative reporting video tutorials? Subscribe to ICIJ's YouTube channel to be the first to know when they are released. Auto Fill Diagram Layout Software Tom Sawyer Layout is a Software Development Kit (SDK) that provides nested drawing data models and layout, labeling, and routing technology for applications that have their own graphical framework. Tom Sawyer Layout is intended for applications that already have graphics facilities in place, and that still need automatic layout capabilities. Tom Sawyer Layout provides a variety of high-quality layout algorithms with superior performance and scalability. Tom Sawyer Layout permits software developers to populate a nested drawing data model, set drawing specifications, choose a desired drawing style, and perform automatic drawing formatting. This drawing formatting sets node positions and sizes, adjusts line routing, and positions labels based on the software developer's precise specifications. The results can then be rendered in the application's graphical framework.
Manuel Lima His first book Visual Complexity: Mapping patterns of information has been translated into French, Chinese, and Japanese. His latest The Book of Trees: Visualizing Branches of Knowledge, published in April 2014 by Princeton Architectural Press, covers over 800 years of human culture through the lens of the tree figure, from its entrenched roots in religious medieval exegesis to its contemporary, secular digital themes. With more than twelve years of experience designing digital products, Manuel has worked for Codecademy, Microsoft, Nokia, R/GA, and Kontrapunkt. Datasets - Gephi:Wiki Gephi sample datasets, in various format (GEXF, GDF, GML, NET, GraphML, DL, DOT). Feel free to add new datasets. Be sure you cite original authors. Supported graph formats are described here. Note that Gephi can open these files without the need to be unzipped.
Health InfoScape Health InfoScape from MIT Senseable Cities and GE aims to create new ways of understanding human health in the United States. By analyzing data from over 7.2 million anonymized electronic medical records, taken from across the country, we are seeking to uncover statical relationships between space, geography and health. We often have a tendency to think of illness as an isolated event, but our first analysis details the numerous (sometimes unexpected) associations that exist around any given condition.