It seems like half of the battle in statistics is identifying an important/unsolved problem. In math, this is easy, they have a list. So why is it harder for statistics? Since I have to think up projects to work on for my research group, for classes I ...
There’s lots of talk about “big data” these days and I think that’s great. I think it’s bringing statistics out into the mainstream (even if they don’t call it statistics) and it creating lots of opportunities for pe...
This is a guest blog from Alvaro Tejada Galindo, my colleague and fellow R and SAP HANA enthusiast. I am thankful to Alvaro for coming and posting on "AllThingsR".Are you an R developers? Have ever heard of SAP HANA? Would you like to test&n...
People who read the news should be aware by now that we are in the midst of a big data era. The New York Times, for example, has been writing about this frequently. One of their most recent articles describes how UC Berkeley is getting $60 million doll...
by Yanchang Zhao, RDataMining.com Compared with many other programming languages, such as C/C++ and Java, R is less efficient and consumes much more memory. Fortunately, there are some packages that enables parallel computing in R and also packages for processing … Continue reading →
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...
Removable disk packs in 1975Source: Wikipedia, via Deutsche Fotothek David Chan from City University is organising an interdisciplinary symposium on tackling the ‘Big Data’ challenge on 1 March 2012.It is an open seminar trying to bring ...
