Site icon R-bloggers

Software tools for data analysis – an overview

[This article was first published on R User Groups, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

by Szilard Pafka

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.

< embed src="http://blip.tv/play/AYKc11oC" type="application/x-shockwave-flash" width="450" allowscriptaccess="always" allowfullscreen="true">

< embed name="__sse6988356" src="http://static.slidesharecdn.com/swf/doc_player.swf?doc=szilardtools4da-110219204759-phpapp02&stripped_title=szilard-tools4da&userName=rusersla" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="450">

To leave a comment for the author, please follow the link and comment on their blog: R User Groups.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.