# Posts Tagged ‘ analytics ’

## integrating R with other systems

June 16, 2012
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I just returned from the useR! 2012 conference for developers and users of R. One of the common themes to many of the presentations was integration of R-based statistical systems with other systems, be they other programming languages, web systems, or enterprise data systems. Some highlights for me were an update to Rserve that includes

## Will 2015 be the Beginning of the End for SAS and SPSS?

May 15, 2012
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Learning to use a data analysis tool well takes significant effort, so people tend to continue using the tool they learned in college for much of their careers. As a result, the software used by professors and their students is … Continue reading →

## Survey of Data Science / Analytics / Big Data / Applied Stats / Machine Learning etc. Practitioners

May 10, 2012
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As I’ve discussed here before, there is a debate raging (ok, maybe not raging) about terms such as “data science”, “analytics”, “data mining”, and “big data”. What do they mean, how do they overlap, and perhaps most importantly, who are the people who work in these fields? Along with two other DC-area Data Scientists, Marck

## Visualising Activity Around a Twitter Hashtag or Search Term Using R

February 6, 2012
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I think one of valid criticisms around a lot of the visualisations I post here and on my various #f1datajunkie blogs is that I often don’t post any explanatory context around the visualisations. This is partly a result of the way I use my blog posts in a selfish way to document the evolution of

## Programmers Should Know R

August 6, 2011
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Programmers should definitely know how to use R. I don’t mean they should switch from their current language to R, but they should think of R as a handy tool during development.Again and again I find myself working with Java code like the following. td.linenos { background-color: #f0f0f0; padding-right: 10px; } span.lineno { background-color: #f0f0f0; Related posts:

July 30, 2011
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This past Friday, the web portal to the US Federal government, USA.gov, organized hackathons across the US for programmers and data scientists to work with and analyze the data from their link-shortening service. It turns out that if you shorten a web link with bit.ly, the shortened link looks like 1.usa.gov/V6NpL (that one goes to

## making meat shares more efficient with R and Symphony

May 9, 2011
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$making meat shares more efficient with R and Symphony$

In my previous post, I motivated a web application that would allow small-scale sustainable meat producers to sell directly to consumers using a meat share approach, using constrained optimization techniques to maximize utility for everyone involved. In this post, I’ll walk through some R code that I wrote to demonstrate the technique on a small

## intuitive visualizations of categorization for non-technical audiences

April 25, 2011
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For a project I’m working on at work, I’m building a predictive model that categorizes something (I can’t tell you what) into two bins. There is a default bin that 95% of the things belong to and a bin that the business cares a lot about, containing 5% of the things. Some readers may be

## Social Media Analytics Research Toolkit (SMART@znmeb) Is Moving Into Private Beta

March 31, 2010
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Download "Getting Started with the Social Media Analytics Research Toolkit" (pdf, 1.25 megabytes) Download the Social Media Analytics Research Toolkit My Social Media Analytics Research Toolkit is about to move into private beta. What's in the release?...