Blog Archives

rcrunchbase – An API Interface to CrunchBase

February 10, 2015
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James Peruvankal Sr. Program Manager, Revolution Analytics Information about the technology business ecosystems is valuable to both established companies as well as startups. Fortunately CrunchBase - the world’s most comprehensive dataset of startup activity, captures quite a bit of such information. Founded in 2007 by Mike Arrington, CrunchBase began as a simple crowd-sourced database to track startups covered on...

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A Machine Learning Result

February 5, 2015
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A Machine Learning Result

by Joseph Rickert Learning to effectively use any of the dozens of popular machine learning algorithms requires mastering many details and dealing with all kinds of practical issues. With all of this to consider, it might not be apparent to a person coming to machine learning from a background other than computer science or applied math that there are...

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Sharing Your Shiny Apps

February 3, 2015
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Sharing Your Shiny Apps

by Siddarth Ramesh R Programmer, Revolution Analytics A couple of months ago, I worked on a customer engagement involving Shiny. Shiny is a package created by RStudio that is intended to make plots dynamic and interactive. One advantage of Shiny is that an app would completely be written in R, without needing to know any other programming languages. Shiny...

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An R User Group Mini Conference

January 29, 2015
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by Joseph Rickert With a membership that spans the entire Bay Area and the ability to hold meetings from San Jose to San Francisco, the Bay Area useR Group is in the very fortunate position of being able to attract world-class R speakers on a regular basis. Meetings that feature multiple speakers often attract 80 to a 100 or...

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Parallel Programming with GPUs and R

January 27, 2015
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by Norman Matloff You've heard that graphics processing units — GPUs — can bring big increases in computational speed. While GPUs cannot speed up work in every application, the fact is that in many cases it can indeed provide very rapid computation. In this tutorial, we'll see how this is done, both in passive ways (you write only R),...

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A first look at Spark

January 22, 2015
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A first look at Spark

by Joseph Rickert Apache Spark, the open-source, cluster computing framework originally developed in the AMPLab at UC Berkeley and now championed by Databricks is rapidly moving from the bleeding edge of data science to the mainstream. Interest in Spark, demand for training and overall hype is on a trajectory to match the frenzy surrounding Hadoop in recent years. Next...

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New Introductory R Course for Health Analytics

January 20, 2015
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New Introductory R Course for Health Analytics

by Bob Horton, Data Scientist, Revolution Analytics From electronic medical records to genomic sequences, the data deluge is affecting all aspects of health care. The Masters of Science in Health Informatics (MSHI) program at the University of San Francisco, now in its second year, is designed to help students develop the practical computing skills and quantitative perspicacity they need...

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Some basics for base graphics

January 15, 2015
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Some basics for base graphics

by Joseph Rickert One of the greatest strengths of the R language is surely the base graphics capabilities. Grid graphics, lattice, ggplot2, bigvis and the many R packages that interface with javascript D3 graphics have added astounding capabilities, well beyond what can be achieved with base graphics alone. Nevertheless, the quick, one line, base graphics plots ( like plot()...

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Interactive R Notebooks on powerful cloud hardware

January 13, 2015
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Interactive R Notebooks on powerful cloud hardware

by Nick Elprin Co-Founder Domino Data Lab "R Notebooks" use the IPython Notebook UI to run R (rather than Python) in notebook cells, giving you an interactive R environment hosted on scalable servers, accessible through a web browser. This post describes how and why we built our "R Notebooks" feature. Our product, Domino, is a platform that facilitates the...

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What’s your KatRisk Score?

January 8, 2015
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What’s your KatRisk Score?

by Joseph Rickert KatRisk, a Berkeley based catastrophe modeling company specializing in wind and flood risk, has put three R and Shiny powered interactive demos on their website. Together these provide a nice introduction to the practical aspects of weather based risk modeling and give a good indication of the kinds of data that are important. Two of the...

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