Developing Data Products in R

Data Visualization in R With ggplot2 Training Video  eBooks & eLearning

Posted by FenixN at Sept. 15, 2016
Data Visualization in R With ggplot2 Training Video

Data Visualization in R With ggplot2 Training Video
HDRips | MP4/AVC, ~189 kb/s | 1280x720 | Duration: 01:03:38 | English: AAC, 125 kb/s (2 ch) | 200 MB
Genre: Development / Programming

In this project-based Data Visualization in R With ggplot2 video tutorial series, you'll quickly have relevant skills for real-world applications.

Report Writing for Data Science in R  eBooks & eLearning

Posted by Grev27 at Feb. 9, 2016
Report Writing for Data Science in R

Roger D. Peng, "Report Writing for Data Science in R"
English | ISBN: n/a | 2016 | PDF | 120 pages | 7,7 MB

Statistics and Data Science in R from Beginner to Advanced  eBooks & eLearning

Posted by naag at Oct. 17, 2015
Statistics and Data Science in R from Beginner to Advanced

Statistics and Data Science in R from Beginner to Advanced
MP4 | Video: 1280x720 | 63 kbps | 44 KHz | Duration: 11 Hours | 2.42 GB
Genre: eLearning | Language: English

Learn R, a powerful FREE open-source programming language for statisticians and data miners!
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving

Deborah Nolan and Duncan Temple Lang, "Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving"
English | ISBN: 1482234815 | 2015 | 539 pages | PDF | 16 MB

Data Mashups in R (repost)  eBooks & eLearning

Posted by arundhati at May 25, 2014
Data Mashups in R (repost)

Jeremy Leipzig, Xiao-Yi Li, "Data Mashups in R"
2011 | ISBN: 1449303536 | 38 pages | EPUB | 1,4 MB

Data Mashups in R  eBooks & eLearning

Posted by vkumar at June 17, 2009
 Data Mashups in R

Data Mashups in R
remy Leipzig, Xiao-Yi Li | June 2009 | Pages: 29 | PDF | ISBN 10: 0596804776 | 1.28 Mb

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.

Data Mashups in R (repost)  eBooks & eLearning

Posted by libr at Aug. 24, 2012
Data Mashups in R (repost)

Jeremy Leipzig, Xiao-Yi Li, "Data Mashups in R"
English | 2011 | ISBN: 1449303536 | 38 pages | PDF | 4,9 MB

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 analyze current home foreclosure auctions in Philadelphia.

Data Mashups in R (repost)  eBooks & eLearning

Posted by tot167 at Nov. 15, 2011
Data Mashups in R (repost)

Jeremy Leipzig, Xiao-Yi Li, "Data Mashups in R"
O'R..ly M,,dia | 2011 | ISBN: 1449303536 | 38 pages | epub | 1,4 MB

Data Mashups in R  eBooks & eLearning

Posted by tot167 at Sept. 12, 2011
Data Mashups in R

Jeremy Leipzig, Xiao-Yi Li, "Data Mashups in R"
O'R..ly M,,dia | 2011 | ISBN: 1449303536 | 38 pages | PDF | 1,5 MB

The Comprehensive Programming in R Course [repost]  eBooks & eLearning

Posted by ParRus at Nov. 10, 2016
The Comprehensive Programming in R Course [repost]

The Comprehensive Programming in R Course
WEBRip | English | MP4 | 1280 x 720 | AVC ~799 kbps | 30 fps
AAC | 64 Kbps | 44.1 KHz | 2 channels | 22:56:53 | 8.1 GB
Genre: eLearning Video / Business, Data Analysis

The Comprehensive Programming in R Course is actually a combination of two R programming courses that together comprise a gentle, yet thorough introduction to the practice of general-purpose application development in the R environment. The original first course (Sections 1-8) consists of approximately 12 hours of video content and provides extensive example-based instruction on details for programming R data structures.