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What you will learn

Develop, execute, and modify R scripts

Learn how to use different data mining sequences

Find out how to organize your data effectively

Produce highquality data visualizations

Get to grips with a number of approaches to the statistical analysis of data

Learn how to cultivate a strategic approach to your data to use the right tools, models and visualizations to get the job done

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

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What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

Luis Jose Muãiz Rascado Apr 23, 2016

excelent issue!!!!

Amazon Verified review

Ketan Jan 29, 2015

Recently completed reading this book on my kindle! To be honest, I judged the book by its cover when it says “Learn and explore the fundamentals of data science with R,” I believed it. This book covers various cluster analysis, data mining, regression and graphics and much more. The highlight of the book for me was its section “Machine Learning in Action.”Though I will be going through the book again to find out details I must have missed, but on an overview, I can say that this will be an important book in my kindle library. I realised it is not wrong to judge the book by its cover.A must read for all data scientists!

Akshul Agarwal Jan 29, 2015

I recently purchased two books from Packt Publishing, R Object Oriented Programming and this one, R for data sciences. The authors seem to have a thorough understanding of the topics and moreover have a knack for keeping the content so simplistic that even beginners would eventually find their path to understand the topic with ease. As the description suggests, the purpose of the book is to explore the core topics that a person interested in R would want to read about. The content of the book was indeed what I have been looking for. This book draws from an extensive assortment of data sources and works on the data using very easily available R functions and packages over the web.

Amazon Customer Oct 19, 2017

Terrible book. There are topics that are presented multiple times on the book, independently. It limits itself to a copy paste of the input and output parameters of some data science methods, without giving any explanations and with multiple errors.

Logan Sep 02, 2015

"From the results, we can see R-squared of close to 0 and p-value almost 1; this is a very good fit." (p. 309)This is a direct quote from this book. When you can't understand the most basic aspect of linear regression you have no business selling a book on "data science." Run away, run very far away and download something like the free Introduction to Statistical Learning if you really want to learn R and the basics of data science.

Type of model	How the model works
`eclat`	This model is used for itemset pattern detection, often used for shopping carts
`arules`	This model determines the co-occurrence of items in a dataset
`apriori`	This model learns the association rules in a dataset
`TraMineR`	This is an R package for mining sequences

R for Data Science: Learn and explore the fundamentals of data science with R

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