In this repository hosted at github, the datadolph.in team is sharing all of the R codebase that it developed to analyze large quantities of data.datadolph.in team has benefited tremendously from fellow R bloggers and other open source communities and ...
We are constantly crunching through large amounts of data and designing unique and innovative ways to process large datasets on a single node and use distributed computing only when single node computing becomes time consuming and less effici...
This two-part blog post I published a day ago required key-stats from Yahoo Finance for all the companies in the control group I created for my research. I wanted all the key-stats pulled, arranged in a data-frame and then present them side-...
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...
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...
Technologies: SAP HANA, R, HTML5, D3, Google Maps, JQuery and JSONFor this fun exercise, I analyzed more than 200 million data points using SAP HANA and R and then brought in the aggregated results in HTML5 using D3, JSON and Google Maps APIs. Th...
This is my first introduction to D3 and I am simply blown away. Mike Bostock (@mbostock), you are genius and thanks for creating D3! With HANA, R, D3, HTML5 and iPad, and you got yourself a KILLER combo!I have been burning my midnight oil o...
