I have read two thrilling news about the really promising time-series data provider called Quandl recently: Quandl: A Wikipedia for Time Series DataQuandl package released to CRANWith the help of the Quandl R package* (development version...
513 search results for "maps"
visualising large amounts of hourly environmental data
It is Sunday, it's raining and I have a few hours to spend before I am invited for lunch at my parents place. Hence, I thought I'd use the time to produce another post. It has been a while since … Continue reading →
Peace through Music. Country clustering using R and the last.fm API
last.fm is an internet radio and music suggestion service. Registered users can also use last.fm to 'scrobble' tracks they've been listening to. last.fm then keeps track of a user's statistics in terms of top artists, albums and tracks.Luckily, last.fm...
EPL Table Motion Chart
The Shiny package provides great user interactivity and another boost to its attractiveness has come with its integration with googleVis. Markus Gesman provides some background in a blog article with coded examples which he along with fellow googleVis creator, Diego de Castillo and lead Shiny developer Winson Chang have furnished There are at least three
Earthquakes in Netherlands
In the Netherlands we have Natural Gas. Unfortunately winning this gas seems to cause some quakes. As quakes go, they are not strong. However, our buildings are not made to resist quakes, before 1986 they were unheard of, so there is some damage. It is now predicted they could get stronger and more frequent. This caused a bit of a...
from OTU table to HEATMAP!
In this tutorial you will learn: what is a heatmap how to create a clean, highly customizable heatmap using heatmap.2 in the gplots package in R how to remove samples with poor output (not very many sequences) how to rearrange your samples by a metadata category how to make a color coded bar above the heatmap 
Free e-book on Data Science with R
A new book by Jeffrey Stanton from Syracuse Iniversity School of Information Studies, An Introduction to Data Science, is now available for free download. The book, developed for Syracuse's Certificate for Data Science, is available under a Creative Commons License as a PDF (20Mb) or as an interactive eBook from iTunes. The book begins with the following clear definition...
Mapped: Twitter Languages in New York
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 ...
Sketches Around Twitter Followers
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 
Data fishing: R and XML part 3
I’ve recently posted two blogs about gathering data from web pages using functions in R. Both examples showed how we can create our own custom functions to gather data about Minnesota lakes from the Lakefinder website. The first post was an example showing the use of R to create our own custom functions to get 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
