2177 search results for "time series"

Faceted “World Population by Income” Choropleths in ggplot

July 9, 2015
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Faceted “World Population by Income” Choropleths in ggplot

Poynter did a nice interactive piece on world population by income (i.e. “How Many Live on How Much, and Where”). I’m always on the lookout for optimized shapefiles and clean data (I’m teaching a data science certificate program starting this Fall) and the speed of the site load and the easy availability of the data

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Online Dashboards: Eight Helpful Tips You Should Hear From Visualization Experts

July 8, 2015
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Online Dashboards: Eight Helpful Tips You Should Hear From Visualization Experts

“There is no such thing as information overload, only bad design” - Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University Edward Tufte The number of organizations working on data-driven projects increased by 125% in the past year. 44% of companies tackle big data “all the time.” 82% of executives call big data “important...

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Teaching a short topic to beginner R users

Teaching a short topic to beginner R users

A couple weeks ago I was given the opportunity to teach a 1 hr 30 min slot of an introduction to R course. In the past, I've taught lectures for similar courses, and I ended up asking myself what would be the best short topic to teach and how to teach ...

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The Nature of Heterogeneity in Coevolving Networks of Customers and Products

July 3, 2015
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The Nature of Heterogeneity in Coevolving Networks of Customers and Products

The genre shirt asks, "What kind of music do u listen 2?"Microgenres exist because markets are fragmenting and marketers need names to attract emerging customer segments with increasingly specific preferences. The cost of producing and delivery music n...

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The Workflow of Infinite Shame, and other stories from the R Summit

June 27, 2015
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The Workflow of Infinite Shame, and other stories from the R Summit

At day one of the R Summit at Copenhagen Business School there was a lot of talk about the performance of R, and alternate R interpreters. Luke Tierney of the University of Iowa, the author of the compiler package, and R-Core member who has been working on R’s performance since, well, pretty much since R

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URL Originality Analysis

June 23, 2015
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URL Originality Analysis

By Chris Campbell, Senior Consultant. When I first heard about Twitter, it was described to me as love, life and the story of the world, summarized in 140 characters or less. Each snippet of information is like a beautiful haiku, … Continue reading →

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Organize a walk around London with R

June 21, 2015
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Organize a walk around London with R

The subtitle of this post can be "How to plot multiple elements on interactive web maps in R".In this experiment I will show how to include multiple elements in interactive maps created using both plotGoogleMaps and leafletR. To complete the work prese...

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SAS PROC MCMC example 12 in R: Change point model

June 21, 2015
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SAS PROC MCMC example 12 in R: Change point model

I restarted at working my way through the PROC MCMC examples. The SAS manual describes this example: Consider the data set from Bacon and Watts (1971), where  is the logarithm of the height of the stagnant surface layer and the covariate...

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R 3.2.1 is released

June 19, 2015
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R 3.2.1 is released

R 3.2.1 (codename “World-Famous Astronaut”) was released yesterday. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.2.1 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr package. … Continue reading...

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GPU-Accelerated R in the Cloud with Teraproc Cluster-as-a-Service

June 10, 2015
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GPU-Accelerated R in the Cloud with Teraproc Cluster-as-a-Service

Analysis of statistical algorithms can generate workloads that run for hours, if not days, tying up a single computer. Many statisticians and data scientists write complex simulations and statistical analysis using the R statistical computing environment. Often these programs have a very long run time. Given the amount of time R programmers can spend waiting

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