3222 search results for "map"

Beautiful Curves: The Harmonograph

October 12, 2014
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Beautiful Curves: The Harmonograph

Each of us has their own mappa mundi (Gala, my indispensable friend) The harmonograph is a mechanism which, by means of several pendulums, draws trajectories that can be analyzed not only from a mathematical point of view but also from an artistic one. In its double pendulum version, one pendulum moves a pencil and the

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When to Use Stacked Barcharts?

October 11, 2014
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When to Use Stacked Barcharts?

Yesterday a few of us on Facebook’s Data Science Team released a blogpost showing how candidates are campaigning on Facebook in the 2014 U.S. midterm elections. It was picked up in the Washington Post, in which Reid Wilson calls us “data … Continue reading →

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2014 Metabolomic Data Analysis and Visualization Workshop and Tutorials

October 11, 2014
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2014 Metabolomic Data Analysis and Visualization Workshop and Tutorials

Recently I had the pleasure of teaching statistical and multivariate data analysis and visualization at the annual Summer Sessions in Metabolomics 2014, organized by the NIH West Coast Metabolomics Center. Similar to last year, I’ve posted all the content (lectures, labs and software) for any one to follow along with at their own pace. I also

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Waterfall and 3D plotting exploration

October 9, 2014
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Waterfall and 3D plotting exploration

Taking the very 'waterfall graph' code posted by Robert Grant I have added some features (resistance Overall I find the graphs produced from this code to be beautiful and fascinating though I am not sure if I would really use them as a form of data exp...

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Plot Me Like a Hurricane (a.k.a. animating historical North Atlantic basin tropical storm tracks)

October 7, 2014
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Markus Gessman (@MarkusGesmann) did a beautiful job Visualising the seasonality of Atlantic windstorms using small multiples, which was inspired by both a post by Arthur Charpentier (@freakonometrics) on using Markov spatial processes to “generate” hurricanes—which was tweaked a bit by Robert Grant (@robertstats)—and Gaston Sanchez‘s Visualizing Hurricane Trajectories RPub. I have some history with hurricane

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Part 2 of Who We Are: Society for Judgment and Decision Making (SJDM)

October 7, 2014
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Part 2 of Who We Are: Society for Judgment and Decision Making (SJDM)

An analysis of where the SJDM members are from in the world. The post Part 2 of Who We Are: Society for Judgment and Decision Making (SJDM) appeared first on Decision Science News.

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Visualising the seasonality of Atlantic windstorms

October 7, 2014
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Visualising the seasonality of  Atlantic windstorms

Last week Arthur Charpentier sketched out a Markov spatial process to generate hurricane trajectories. Here, I would like to take another look at the data Arthur used, but focus on its time component. According to the Insurance Information Institute, a normal season, based on averages from 1980 to 2010, has 12 named storms, six hurricanes and...

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Moving Beyond CTR: Better Recommendations Through Human Evaluation

October 6, 2014
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Moving Beyond CTR: Better Recommendations Through Human Evaluation

Imagine you're building a recommendation algorithm for your new online site. How do you measure its quality, to make sure that it's sending users relevant and personalized content? Click-through rate may be your initial hope…but after a bit of thought, it's not clear that it's the best metric after all. Take Google's search engine. In many cases, improving the quality...

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multiple annotation in ChIPseeker

October 1, 2014
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multiple annotation in ChIPseeker

Nearest gene annotation Almost all annotation software calculate the distance of a peak to the nearest TSS and assign the peak to that gene. This can be misleading, as binding sites might be located between two start sites of different genes or hit different genes which have the same TSS location in the genome. Read More:...

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Transparent hurricane paths in R

October 1, 2014
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Transparent hurricane paths in R

Arthur Charpentier has written a really nice blog post about obtaining hurricane tracks and plotting them. He then goes on to do other clever Markov process models, but as a dataviz guy who knows almost nothing about meteorology, I want to … Continue reading →

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