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  • Book Overview & Buying R for Data Science
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R for Data Science

R for Data Science

By : Toomey
3.4 (5)
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R for Data Science

R for Data Science

3.4 (5)
By: Toomey

Overview of this book

If you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book for you. You should have some basic knowledge of the R language and should know about some data science topics.
Table of Contents (14 chapters)
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Questions


Factual

  • Do you have data that can be displayed using the persp function (x and y increasing over the range of your dataset)?

  • Don't you wish you knew about swirl when you first started getting into R?

When, how, and why?

  • Determine how to adjust the viewing angle for the 3D maps.

  • Sign up for an Amazon AWS free trial to use the Big Data aspects.

  • Get access to a multiprocessor machine and try out the parallel packages.

Challenges

  • Find an observed dataset that can be displayed using the persp function.

  • What geographic data can you think of that'd be better displayed using a 3D graphic map?

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
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R for Data Science
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