Software tools for data analysis – an overview

Discussions on various software tools (C, C++, Perl, Python, Unix shell, R, Matlab, SAS, SPSS, Excel, databases, Hadoop etc.) used in data analysis. Szilard Pafka (founder and co-organizer of the Los Angeles R users group) presents an overview and discusses the survey results regarding their usage by the members of the Los Angeles R users group. A plan for possible talks in the future (at LA RUG meetings) with more details on some of these tools and how they can be used with R is also discussed.

(Also have a look at the discussions on the same topic here: Comparison of data analysis packages: R, Matlab, SciPy, Excel, SAS, SPSS, Stata.)

RHIPE: An Interface Between Hadoop and R for Large and Complex Data Analysis

RHIPE: An Interface Between Hadoop and R
Presented by Saptarshi Guha

Video Link

About the Video:

I filmed the event using LectureMaker’s live event recording technique. One special feature I add to my R video recordings is the addition of my own R source code highlighting and math symbol publishing plugins for WordPress blogs. The highlighting is unique in that R and RHIPE constructs are hot-linked back to online documentation so the user can learn more about the source code.

What others are saying about this video:

“I just watched the Saptarshi Guha video. It looks great!! Thank you! The picture is incredibly crisp, and the timeline tab is a nice touch for reviewing the film. Thank you!” — Matt Bascom