Mash-up Airlines Performance Data with Historical Weather Data to Pinpoint Weather Related DelaysFor this exercise, I combined following four separate blogs that I did on BigData, R and SAP HANA. Historical airlines and weather dat...
313 search results for "MAPS"
Measuring time series characteristics
A few years ago, I was working on a project where we measured various characteristics of a time series and used the information to determine what forecasting method to apply or how to cluster the time series into meaningful groups. The two main papers to come out of that project were: Wang, Smith and...
Next Kölner R User Meeting: 6 July 2012
The next Cologne R user group meeting is scheduled for 6 July 2012. All details are available on the new KölnRUG Meetup site. Please sign up if you would like to come along, and notice that there is also pub poll for the after "work" drinks. Notes fr...
Incompetence borne of excessive cleverness
I have just got back from the 24 hour Data Science Global Hackathon; I was an on-site participant at Hub Westminster in London (thanks to Carlos and his team for doing such a great job looking after us all {around 50 turned up from the 100 who registered; the percentage was similar in other...
Big Data, R and HANA: Analyze 200 Million Data Points and Later Visualize in HTML5 Using D3 – Part II
In my last blog, Big Data, R and SAP HANA: Analyze 200 Million Data Points and Later Visualize Using Google Maps, I analyzed historical airlines performance data set using R and SAP HANA and put the aggregated analysis on Google Maps. Undoub...
Heat map visualization of sick day trends in Finland with R, ggplot2 and Google Correlate
Inspired by Margintale’s post “ggplot2 Time Series Heatmaps” and Google Flu Trends I decided to use a heat map to visualize sick days logged by HeiaHeia.com Finnish users. I got the data from our database, filtering results by country (Finnish users only) in a tab separated form with the first line as the header. Three...
118 years of US State Weather Data
A recent post on the Junkcharts blog looked at US weather dataand the importance of explaining scales (which in this case went up to 118). Ultimately, it turns out that 118 is the rank of the data compared to the previous 117 years of data (in ascending order, so that 118 is the highest)....
Installing R’s maps package on Ubuntu
I recently ran into trouble trying to install the R maps package on Ubuntu 10.04. Here's the error I was getting: ** arch - gcc -std=gnu99 -O3 -pipe -g Gmake.c -o GmakeGmake.c: In function ‘get_lh’:Gmake.c:...
How NOAA uses R to forecast river flooding
Thanks to the lower-than-usual snowfall over most of the US this past winter, there's low risk of major flooding as the snow melts this Spring (for the first time in four years!). Nonetheless, being able to forecast river flood events is of critical importance to local emergency managers, water & electric utilities, river navigation...
ggplot2 Time Series Heatmaps
How do you easily get beautiful calendar heatmaps of time series in ggplot2? E.g:From MarginTaleI was impressed by the lattice-based implementation from Paul Bleicher of Humedica, which you can find referenced in http://blog.revolutionanalytics.c...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
