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Showing posts with the label data analysis

Visualizing Canadian Energy Flows with d3.js Sankey diagrams

I have been working with processing.js but wanted to learn a little about d3js for visualizations, so took a look at Mike Bostock 's d3.js plugin for making Sankey diagrams . So I pulled down two documents that had energy flow diagrams for Canada: 2006. Powerful Connections: Priorities and Directions in Energy Science and Technology in Canada. The Report of the National Advisor Panel on Sustainable Energy Science and Technology , Natural Resources Canada, p76. 2008. Report on Energy Supply and Demand in Canada Catalogue no. 57-003-X, Statistics Canada, p121. I extracted the data from these diagrams and built these interactive Sankey energy flows: 2003 Canadian Energy Flows 2007 Canadian Energy Flows Note that these two documents are looking at slightly different views of energy flows (and 2007 does not include Uranium ), so can't be compared directly. If you have any (preferably Canadian) datasets that could be presented in this fashion, let...

Report released: "Harnessing the Power of Digital Data for Science and Society"

The Interagency Working Group on Digital Data to the National Science and Technology Council (U.S.) has release its report, Harnessing the Power of Digital Data for Science and Society" . " The report lays out a strategic vision for ´a digital scientific data universe in which data creation, collection, documentation, analysis, preservation, and dissemination can be appropriately, reliably, and readily managed, thereby enhancing the return on our nation’s research and development investment by ensuring that digital data realize their full potential as catalysts for progress in our global information society .' "

Research Data Archiving = Volumes of data? Conference...

One of the implications of research data archiving is that there will likely be large datasets on a variety of subjects. How third parties will analyse these data in a scalable fashion has not entirely been addressed. But the recent conference examines some of the issues for a class of data, images and signals : Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry (Third International Conference, MDA 2008 Leipzig, Germany, July 14, 2008) and includes: Burcu Yılmaz, Mehmet Göktürk, Natalie Shvets (2008). User Assisted Substructure Extraction in Molecular Data Mining. Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry, 5108 , 12-26 DOI: 10.1007/978-3-540-70715-8_4 Franco Chiarugi, Sara Colantonio, Dimitra Emmanouilidou, Davide Moroni, Ovidio Salvetti (2008). Biomedical Signal and Image Processing for Decision Support in Heart Failure. Advances in Mass Data Analysis of Imag...