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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

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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.

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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.

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