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You're reading from  Big Data Analytics with R

Product typeBook
Published inJul 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781786466457
Edition1st Edition
Languages
R
Tools
HadoopApache Spark
Concepts
Big Data
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Author (1)
Simon Walkowiak
Simon Walkowiak
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Simon Walkowiak

Simon Walkowiak is a cognitive neuroscientist and a managing director of Mind Project Ltd a Big Data and Predictive Analytics consultancy based in London, United Kingdom. As a former data curator at the UK Data Service (UKDS, University of Essex) European largest socio-economic data repository, Simon has an extensive experience in processing and managing large-scale datasets such as censuses, sensor and smart meter data, telecommunication data and well-known governmental and social surveys such as the British Social Attitudes survey, Labour Force surveys, Understanding Society, National Travel survey, and many other socio-economic datasets collected and deposited by Eurostat, World Bank, Office for National Statistics, Department of Transport, NatCen and International Energy Agency, to mention just a few. Simon has delivered numerous data science and R training courses at public institutions and international companies. He has also taught a course in Big Data Methods in R at major UK universities and at the prestigious Big Data and Analytics Summer School organized by the Institute of Analytics and Data Science (IADS).
Read more about Simon Walkowiak

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Summary

In this chapter we've revisited many concepts related to data management, data processing, transformations, and data analysis, using R programming language and a statistical environment. Our target was to enable you to familiarize yourself with major functions and R packages, which facilitate manipulation of data and hypothesis testing. Finally, we have mentioned a few words on the topic of static and interactive data visualizations and their nearly limitless applications.

This chapter was by no means inclusive of all available methods and techniques. We have merely scratched the surface of what's possible in R, but we also believe that the information provided in this chapter enabled you to either revise your existing R skills, or to identify potential gaps.

In the following chapters we will be building on these skills with almost exclusive focus on Big Data. In Chapter 3, Unleashing the Power of R from Within you will be exposed to a number of packages which allow R users to transform...

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Big Data Analytics with R
Published in: Jul 2016Publisher: PacktISBN-13: 9781786466457
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Simon Walkowiak

Simon Walkowiak is a cognitive neuroscientist and a managing director of Mind Project Ltd a Big Data and Predictive Analytics consultancy based in London, United Kingdom. As a former data curator at the UK Data Service (UKDS, University of Essex) European largest socio-economic data repository, Simon has an extensive experience in processing and managing large-scale datasets such as censuses, sensor and smart meter data, telecommunication data and well-known governmental and social surveys such as the British Social Attitudes survey, Labour Force surveys, Understanding Society, National Travel survey, and many other socio-economic datasets collected and deposited by Eurostat, World Bank, Office for National Statistics, Department of Transport, NatCen and International Energy Agency, to mention just a few. Simon has delivered numerous data science and R training courses at public institutions and international companies. He has also taught a course in Big Data Methods in R at major UK universities and at the prestigious Big Data and Analytics Summer School organized by the Institute of Analytics and Data Science (IADS).
Read more about Simon Walkowiak

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