I thought mailing lists are very professional and filled with boring people. But hey, R mailing list is pure fun and has lots of humour elements ;) So yeah, making it clear, logs as in the text dump spit out by your software applications, servers and network elements.
Let me add to my query. This is for a college project. My task is to to parse logs into the system and then extract some valuable information out of it, which is not obviously visible/obtainable. The logs can be of any standard format. Logstash is one typical open source SIEM alternative to splunk and the likes. But I just wanted to do something out of R, so that it is unique and even more fun with graphs. So are there any typical use cases or atleast has some tried to churn out third dimensional reports using R. Some pointers would help. Hopefully I needn't go to a sawmill to process all these logs :( On Sat, Jan 5, 2013 at 1:47 AM, jim holtman <jholt...@gmail.com> wrote: > those were definitely different 'logs' than I was thinking about. > > On Fri, Jan 4, 2013 at 1:50 PM, peter dalgaard <pda...@gmail.com> wrote: > > > > On Jan 4, 2013, at 18:41 , jim holtman wrote: > > > >> what type of logs are you trying to process? > > > > Oregon pine? > > > >> what is their format? > > > > Cylindrical? > > > >> what information do you want from them? > > > > Tensile strength? > > > > > > ;-) > > > > (Or: Base-10, 5-digit mantissa, geometric mean) > > > >> On Fri, Jan 4, 2013 at 6:33 AM, Ramprakash Ramamoorthy > >> <youngestachie...@gmail.com> wrote: > >>> Hello all, > >>> > >>> Need some suggestions on interesting use cases with R in the > >>> field of log processing. Any help would be greatly appreciated. > >>> > >>> -- > >>> With Thanks and Regards, > >>> Ramprakash Ramamoorthy, > >>> India, > >>> +91 9626975420 > >>> > >>> [[alternative HTML version deleted]] > >>> > >>> ______________________________________________ > >>> R-help@r-project.org mailing list > >>> https://stat.ethz.ch/mailman/listinfo/r-help > >>> PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > >>> and provide commented, minimal, self-contained, reproducible code. > >> > >> > >> > >> -- > >> Jim Holtman > >> Data Munger Guru > >> > >> What is the problem that you are trying to solve? > >> Tell me what you want to do, not how you want to do it. > >> > >> ______________________________________________ > >> R-help@r-project.org mailing list > >> https://stat.ethz.ch/mailman/listinfo/r-help > >> PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > >> and provide commented, minimal, self-contained, reproducible code. > > > > -- > > Peter Dalgaard, Professor, > > Center for Statistics, Copenhagen Business School > > Solbjerg Plads 3, 2000 Frederiksberg, Denmark > > Phone: (+45)38153501 > > Email: pd....@cbs.dk Priv: pda...@gmail.com > > > > > > > > > > > > > > > > > > > > -- > Jim Holtman > Data Munger Guru > > What is the problem that you are trying to solve? > Tell me what you want to do, not how you want to do it. > -- With Thanks and Regards, Ramprakash Ramamoorthy, Engineer Trainee, Zoho Corporation. +91 9626975420 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
