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Categories: Administrativia Practical Data Science Statistics

### jmount

Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.

I work with Java as technical architect and started coding R because our sizing team couldn’t relate workloads with number of cores or RAM. Since then I have collected many R books.

I would like to know how datasets like http requests, think-time analysis , disk accesses and memory usages can be correlated(coefficient) and linear regression applied on them. This is size cores or memory. How do we go about doing this ? Does you book deal with that ? Sometimes this could multivariate.

Is the ”practical” part of the book helpful for this ?

Mohan

Out book deals more with predictive modeling and how to adapt predictive modeling to business questions. What you are talking about sounds like capacity planning or extrapolation. Probably you want a book that is dedicated to capacity planning.

I haven’t stated the question clearly. Sentence structures are wrong.

Yes. This is more about capacity planning than anything else. But linear regression can be applied ? You have such a topic.

I have books on capacity planning and queueing analysis. But I am missing the statistics part of it.

I might buy the book anyway.

Thanks.