Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
R: Data Analysis and Visualization
R: Data Analysis and Visualization

R: Data Analysis and Visualization: Master the art of building analytical models using R

Arrow left icon
Profile Icon Tony Fischetti Profile Icon Brett Lantz Profile Icon Jaynal Abedin Profile Icon Hrishi V. Mittal Profile Icon Bater Makhabel Profile Icon Edina Berlinger (EURO) Profile Icon Barbara Dömötör Profile Icon Dániel Havran Profile Icon Margitai István Profile Icon Ágnes Tuza Profile Icon István Margitai Profile Icon Ferenc Illés Profile Icon Ádám Banai Profile Icon Gergely Daróczi Profile Icon Gergely Gabler Profile Icon Péter Juhász Profile Icon Milán Badics Profile Icon Kata Váradi Profile Icon Péter Medvegyev Profile Icon Agnes Vidovics-Dancs Profile Icon Julia Molnár Profile Icon Balázs Árpád Sz≈±cs Profile Icon Balázs Márkus Profile Icon Tamás Vadász +20 more Show less
Arrow right icon
Course Jun 2016 1783 pages 1st Edition
Arrow left icon
Profile Icon Tony Fischetti Profile Icon Brett Lantz Profile Icon Jaynal Abedin Profile Icon Hrishi V. Mittal Profile Icon Bater Makhabel Profile Icon Edina Berlinger (EURO) Profile Icon Barbara Dömötör Profile Icon Dániel Havran Profile Icon Margitai István Profile Icon Ágnes Tuza Profile Icon István Margitai Profile Icon Ferenc Illés Profile Icon Ádám Banai Profile Icon Gergely Daróczi Profile Icon Gergely Gabler Profile Icon Péter Juhász Profile Icon Milán Badics Profile Icon Kata Váradi Profile Icon Péter Medvegyev Profile Icon Agnes Vidovics-Dancs Profile Icon Julia Molnár Profile Icon Balázs Árpád Sz≈±cs Profile Icon Balázs Márkus Profile Icon Tamás Vadász +20 more Show less
Arrow right icon
Course Jun 2016 1783 pages 1st Edition

Key benefits

  • Load, wrangle, and analyze your data using the world's most powerful statistical programming language
  • Build and customize publication-quality visualizations of powerful and stunning R graphs
  • Develop key skills and techniques with R to create and customize data mining algorithms
  • Use R to optimize your trading strategy and build up your own risk management system
  • Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R

Description

The R learning path created for you has five connected modules, which are a mini-course in their own right. As you complete each one, you'll have gained key skills and be ready for the material in the next module! This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You'll gain a thorough understanding of statistical reasoning and sampling. Finally, you'll be able to put best practices into effect to make your job easier and facilitate reproducibility. The second place to explore is R Graphs, which will help you leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. You'll learn how to produce, customize, and publish advanced visualizations using this popular and powerful framework. With the third module, Learning Data Mining with R, you will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs. The Mastering R for Quantitative Finance module pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own. By the end of the module, you will be well-versed with various financial techniques using R and will be able to place good bets while making financial decisions. Finally, we'll look at the Machine Learning with R module. With this module, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. You'll also learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, and so on.

Who is this book for?

This course is for data scientist or quantitative analyst who are looking at learning R and take advantage of its powerful analytical design framework. It’s a seamless journey in becoming a full-stack R developer.

What you will learn

  • Describe and visualize the behavior of data and relationships between data
  • Gain a thorough understanding of statistical reasoning and sampling
  • Handle missing data gracefully using multiple imputation
  • Create diverse types of bar charts using the default R functions
  • Familiarize yourself with algorithms written in R for spatial data mining, text mining, and so on
  • Understand relationships between market factors and their impact on your portfolio
  • Harness the power of R to build machine learning algorithms with real-world data science applications
  • Learn specialized machine learning techniques for text mining, big data, and more

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Last updated date : Feb 11, 2025
Publication date : Jun 24, 2016
Length: 1783 pages
Edition : 1st
Language : English
ISBN-13 : 9781786463500
Category :
Languages :
Concepts :

Product Details

Last updated date : Feb 11, 2025
Publication date : Jun 24, 2016
Length: 1783 pages
Edition : 1st
Language : English
ISBN-13 : 9781786463500
Category :
Languages :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Table of Contents

10 Chapters
Table of Contents Chevron down icon Chevron up icon
R: Data Analysis and Visualization Chevron down icon Chevron up icon
I. Module 1: Data Analysis with R Chevron down icon Chevron up icon
II. Module 2: R Graphs Chevron down icon Chevron up icon
III. Module 3: Learning Data Mining with R Chevron down icon Chevron up icon
IV. Module 4: Mastering R for Quantitative Finance Chevron down icon Chevron up icon
V. Module 5: Machine Learning with R module Chevron down icon Chevron up icon
A. Reflect and Test Yourself Answers Chevron down icon Chevron up icon
B. Bibliography Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.

Modal Close icon
Modal Close icon