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Data Visualization, Design and Information Munging // Martin Krzywinski / Genome Sciences Center

Data Visualization, Design and Information Munging // Martin Krzywinski / Genome Sciences Center
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Hive Plots - Linear Layout for Network Visualization - Visually Interpreting Network Structure and Content Made Possible The art of Pi (`pi`), Phi (`phi`) and `e` // Martin Krzywinski / Genome Sciences Center ▲ 2013 day ▲ 2014 day ▲ 2015 day ▲ 2014 approx day ▲ Circular art This section contains various art work based on , and that I created over the years. day art and approximation day art is kept separate. All of the posters are listed in the posters section. Circular and spiral art based on the digits of , and . Read about how they were made and browse through the posters. Some of the art shown here has been featured in a Numberphile video. Fri 10-07-2015 The Jurassic World Creation Lab webpage shows you how one might create a dinosaur from a sample of DNA. ▲ We can't get dinosaur genomics right, but we can get it less wrong. With enough time, you'll grow your own brand new dinosaur. What went wrong? ▲ Corn World: Teeth on the Cob. Thu 11-06-2015 I was commissioned by Scientific American to create an information graphic based on Figure 9 in the landmark Nature Integrative analysis of 111 reference human epigenomes paper. ▲ Network diagram redesign of the heatmap for a select set of traits.

VIZBI - Visualizing Biological Data Revolutions Widget sizing Overview In the spirit of HTML widgets working just like plots in R, it’s important that HTML widgets intelligently size themselves to their container, whether it be the RStudio Viewer, a figure in knitr, or a UI panel within a Shiny application. The htmlwidgets framework provides a rich mechanism for specifying the sizing behavior of widgets. This sizing mechanism is designed to address the following constraints that affect the natural size of a widget: The kind of widget it is. Some widgets may only be designed to look good at small, fixed sizes (like sparklines) while other widgets may want every pixel that can be spared (like network graphs).The context into which the widget is rendered. Widget sizing is handled in two steps: First, a sizing policy is specified for the widget. Specifying a sizing policy The default HTML widget sizing policy treats the widget with the same sizing semantics as an R plot. Examples The networkD3 package uses custom sizing policies for all of its widgets.

Flare | Data Visualization for the Web Why Are Data-Viz Designers So Obsessed With Circles? In 1726, Filippo Juvarra put the finishing touches on the dome of the Basilica of Superga, an intricately designed church in Turin, Italy. The artist painted the interior roof of the building with a kaleidoscopic pattern that when paired with the dome’s ring of windows creates the effect of ornate, concentric circles. Nearly 300 years later, in the French town of Cessy, engineers finished building the Compact Muon Solenoid, a massive particle detector that, when viewed in cross-section, bears a striking resemblance to Juvarra’s circular basilica dome. “These things look so similar, and yet they’re separated by 300 years,” says Manuel Lima. In his new book, Lima attempts to find out. Lima began thinking about the book in 2011 after he was asked a confounding question during a presentation he was giving on Visual Complexity. From a psychological perspective, the circle represents happiness, unity, perfection, and wholeness.

VizbiPlus - Visualising the Future of Biomedicine The VizbiPlus project aims to improve how life science is communicated by creating exemplary scientifically-accurate animations designed to inspire and educate the public about cutting-edge biomedical research. Animations Clostridium tetani & Tetanus. How infection with Clostridium tetani interrupts nervous control of our muscles, leading to tetanus. Created by Maja Divjak (Gene Technology Access Centre, Melbourne). Bordetella pertussis & Whooping Cough. The FODMAP Grand Tour Down Under: IBS Relief. The Hungry Microbiome. Alzheimer's Enigma. Cancer Is Not One Disease. Tagging DNA: Mislabelling the Cancer Genome. Inflammation & Type 2 Diabetes. Insulin Receptor & Type 2 Diabetes.

Data News médialab Tools Parallel coordinates Parallel coordinates is a common way of visualizing high-dimensional geometry and analyzing multivariate data. This visualization is closely related to time series visualization, except that it is applied to data where the axes do not correspond to points in time, and therefore do not have a natural order. Therefore, different axis arrangements may be of interest. History[edit] Parallel coordinates were often said to be invented by Philbert Maurice d'Ocagne (fr) in 1885,[1] but even though the words "Coordonnées parallèles" appear in the book title this work has nothing to do with the visualization techniques of the same name (the book only describes a method of coordinate transformation, see fulltext PDF of the book by clicking the link in the references). Higher dimensions[edit] Adding more dimensions in parallel coordinates (often abbreviated ||-coords or PCs) involves adding more axes. Statistical considerations[edit] Reading[edit] Limitations[edit] Software[edit] See also[edit] Radar chart

Hive Plots - Linear Layout for Network Visualization - Visually Interpreting Network Structure and Content Made Possible Seán O'Donoghue