RStudio for R Statistical Computing Cookbook: Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

Andrea Cirillo

Can$61.99

4 (2 Ratings)

Paperback Apr 2016 246 pages 1st Edition

eBook

Can$12.99 ~~Can$49.99~~

Andrea Cirillo

Can$61.99

4 (2 Ratings)

Paperback Apr 2016 246 pages 1st Edition

eBook

Can$12.99 ~~Can$49.99~~

Can$12.99 ~~Can$49.99~~

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Key benefits

54 useful and practical tasks to improve working systems
Includes optimizing performance and reliability or uptime, reporting, system management tools, interfacing to standard data ports, and so on
Offers 10-15 real-life, practical improvements for each user type

Description

The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you'll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications.

Who is this book for?

This book is targeted at R statisticians, data scientists, and R programmers. Readers with R experience who are looking to take the plunge into statistical computing will find this Cookbook particularly indispensable.

What you will learn

Familiarize yourself with the latest advanced R console features
Create advanced and interactive graphics
Manage your R project and project files effectively
Perform reproducible statistical analyses in your R projects
Use RStudio to design predictive models for a specific domain-based application
Use RStudio to effectively communicate your analyses results and even publish them to a blog
Put yourself on the frontiers of data science and data monetization in R with all the tools that are needed to effectively communicate your results and even transform your work into a data product

Estimated delivery fee Deliver to Canada

Economy delivery 10 - 13 business days

Can$24.95

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Frequently bought together

Learning Probabilistic Graphical Models in R

Can$49.99

Can$69.99

Can$61.99

Total Can$ 181.97

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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:

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American Samoa
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Brunei Darussalam
Central African Republic
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Iran
Lebanon
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Sudan
Russian Federation
Syrian Arab Republic
Ukraine
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Mr. T. Sep 03, 2016

Andrea's book provides some useful and well explained recipes on how to produce effective and clear data analyses. Personally I particularly appreciated the Dynamic reporting techniques as well as the interactive visualisation opportunities which were unknown to me so far.

Amazon Verified review

Amazon Customer Jul 20, 2016

The subheading “quick answers to common problem” is the more appropriate description of this book.I am using R for more than fourteen years, in academic and professional environments as well. Even if I’m a kind of “old school” command line coder, I’m continuously intrigued and delighted by the new and fresh packages made available for R. As many of us, from time to time, I felt lost among the packages and in their usage. Andrea’s book can provide some help. It is a real cookbook made up by simple, maybe trivial, ready-to-use recipes. It is the collection of code chunks that everybody should collect: Andrea shared their own.I do not have time to check any update in the visualization techniques, so I appreciated the extensive care on how to communicate the results, with nice graphs, and with some “novelty” as the Sankey or the wordcloud, or via a Shiny app. On the other side, some arguments are just barely and sadly mentioned, in fact they are so extended that deserve entire books; I’m referring to the outliers detection, the parallel computation or the sentiment analysis…This book will not teach you statistics or R. To read and enjoy this book, you need to have at least an average knowledge of R and moreover to had faced some troubles with data analysis and visualization.

RStudio for R Statistical Computing Cookbook: Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

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