Social Media Analysis has become some kind of new obsession in Marketing. Every company wants to engage existing customers or attract new ones through this communication channel. Therefore, they hire designers, editors, community managers, etc. However, when it comes to … Continue reading →
Social Media Analysis has become some kind of new obsession in Marketing. Every company wants to engage existing customers or attract new ones through this communication channel. Therefore, they hire designers, editors, community managers, etc. However, when it comes to … Continue reading →
Following the interest in our Twitter Tongues map for London, Ed Manley and I have teamed up with Trendsmap creator John Barratt to offer this snapshot of New York City’s Twitter languages. We have visualised the geography of about 8.5 million geo-located tweets collected between Jan 2010 and Feb 2013. Each tweet is marked by a slightly transparent dot ...
Anyone interested in playing around with the data generated by the PITCHf/x cameras at major league baseball games should definitely check out the pitchRx package from Carson Sievert. Major League Baseball Advanced Media makes the data available for download, and this package provides an interface from R to the speed, position and pitcher data for just about every MLB...
I’ve been doodling… Following a query about the possible purchase of Twitter followers for various public figure accounts (I need to get my head round what the problem is with that exactly?!), I thought I’d have a quick look at some stats around follower groupings… I started off with a data grab, pulling down the 
The last post I show a way to plot a gexf file in R using the rgexf package and the Sigmajs library. Now we need some data to use that piece of code. So I've decided obtain the tweets about R. For this I've used the twitteR package and search "#rs...
The yhat blog lists 10 R packages they wish they'd known about earlier. Drew Conway calls them "10 reasons to always start your analysis in R". They're all very useful R packages that every data scientist should be aware of. They are: sqldf (for selecting from data frames using SQL) forecast (for easy forecasting of time series) plyr (data...
As the food labeling and substituted horsemeat saga rolls on, I’ve been surprised at how little use has been made of “data” to put the structure of the food chain into some sort of context* (or maybe I’ve just missed those stories?). One place that can almost always be guaranteed to post a few related 
So my playing around with Haskell goes on. You can follow the progress of the little bootstrap exercise on github. Now it’s gotten to the point where it actually does a bootstrap interval for the mean of a sample. Consider the following R script: 10.31 2.5% 97.5% 9.72475 10.85200 So, that was a simple 
This morning, I was working on some paper on inequality measures, and for computational reasons, I had to sort elements in a matrix. To make it simple, I had a rectangular matrix, like the one below, > set.seed(1) > u=sample(1:(nc*nl)) > (M1=matrix(u,nl,nc)) 7 5 11 23 6 17 9 18 1 21...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
