Data Mashups in R
|Authors||Jeremy Leipzig, Xiao-Yi Li|
|Format||Paper book / ebook (PDF)|
This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R packages as well as its own capabilities in statistical analysis. We will be accessing spatial data in several formats-html, xml, shapefiles, and text-locally and over the web to produce a map of home foreclosure auctions and perform statistical analysis on these events.
by Jeremy Leipzig, Xiao-Yi Li
How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use canned sample data, you'll plot and an...
Price: $12.99 | Publisher: O'Reilly Media | Release: 2011
by Thomas Mailund
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.Beginning Data Science ...
Price: $41.88 | Publisher: Apress | Release: 2022
by Margot Tollefson
Master the syntax for working with R's plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take adva...
Price: $40.95 | Publisher: Apress | Release: 2021
by Vignesh Prajapati
Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New...
Price: $5.77 | Publisher: Packt Publishing | Release: 2013
by Jaynal Abedin, Kishor Kumar Das
This book starts with the installation of R and how to go about using R and its libraries. We then discuss the mode of R objects and its classes and then highlight different R data types with their basic operations.The primary focus on group-wise data manipulation with the split-apply-combine strategy has been explained with specific exam...
Price: $29.99 | Publisher: Packt Publishing | Release: 2015
by Nina Zumel, John Mount
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business...
Price: $39.99 | Publisher: Manning | Release: 2019
by Andrew Johnson
Functional Programming allows developers to divide programs into smaller, reusable components that ease the creation, testing, and maintenance of software as a whole. Combined with the power of Rust, you can develop robust and scalable applications that fulfill modern day software requirements. This book will help you discover all the Rus...
Price: $44.99 | Publisher: Packt Publishing | Release: 2018
by Sandi Metz
Ruby's widely admired ease of use has a downside: Too many Ruby and Rails applications have been created without concern for their long-term maintenance or evolution. The Web is awash in Ruby code that is now virtually impossible to change or extend. This text helps you solve that problem by using powerful real-world object-oriented ...
Price: $5.16 | Publisher: Addison-Wesley | Release: 2012