Data Mashups In R PDF Download
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| Author | : Jeremy Leipzig |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 40 |
| Release | : 2011-03-04 |
| Genre | : Computers |
| ISBN | : 9781449307257 |
Download Data Mashups in R Book in PDF, ePub and Kindle
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. This practical mashup exercise shows you how to access spatial data in several formats locally and over the Web to produce a map of home foreclosures. It's an excellent way to explore how the R environment works with R packages and performs statistical analysis. Parse messy data from public foreclosure auction postings Plot the data using R's PBSmapping package Import US Census data to add context to foreclosure data Use R's lattice and latticeExtra packages for data visualization Create multidimensional correlation graphs with the pairs() scatterplot matrix package
| Author | : Jeremy Leipzig |
| Publisher | : |
| Total Pages | : |
| Release | : 2009 |
| Genre | : Mashups (World Wide Web) |
| ISBN | : |
Download Data Mashups in R Book in PDF, ePub and Kindle
| Author | : Brigitte Endres-Niggemeyer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 382 |
| Release | : 2013-04-05 |
| Genre | : Computers |
| ISBN | : 3642364039 |
Download Semantic Mashups Book in PDF, ePub and Kindle
Mashups are mostly lightweight Web applications that offer new functionalities by combining, aggregating and transforming resources and services available on the Web. Popular examples include a map in their main offer, for instance for real estate, hotel recommendations, or navigation tools. Mashups may contain and mix client-side and server-side activity. Obviously, understanding the incoming resources (services, statistical figures, text, videos, etc.) is a precondition for optimally combining them, so that there is always some undercover semantics being used. By using semantic annotations, neutral mashups permute into the branded type of semantic mashups. Further and deeper semantic processing such as reasoning is the next step. The chapters of this book reflect the diversity of real-life semantic mashups. Two overview chapters take the reader to the environments where mashups are at home and review the regulations (standards, guidelines etc.) mashups are based on and confronted with. Chapters focusing on DBpedia, search engines and the Web of Things inspect the main Web surroundings of mashups. While mashups upgrading search queries may be nearer to the everyday experience of readers, mashups using DBpedia input and sensor data from the real world lead to important new and therefore less known developments. Finally, the diversity of mashups is tracked through a few application areas: mathematical knowledge, speech, crisis and disaster management, recommendations (for games), inner-city information, and tourism. Participants of the AI Mashup Challenge wrote all the chapters of this book. The authors were writing for their current and future colleagues – researchers and developers all over the Web who integrate mashup functionalities into their thinking and possibly into their applications.
| Author | : Florian Daniel |
| Publisher | : Springer |
| Total Pages | : 332 |
| Release | : 2014-08-12 |
| Genre | : Computers |
| ISBN | : 3642550495 |
Download Mashups Book in PDF, ePub and Kindle
Mashups have emerged as an innovative software trend that re-interprets existing Web building blocks and leverages the composition of individual components in novel, value-adding ways. Additional appeal also derives from their potential to turn non-programmers into developers. Daniel and Matera have written the first comprehensive reference work for mashups. They systematically cover the main concepts and techniques underlying mashup design and development, the synergies among the models involved at different levels of abstraction and the way models materialize into composition paradigms and architectures of corresponding development tools. The book deliberately takes a balanced approach, combining a scientific perspective on the topic with an in-depth view on relevant technologies. To this end, the first part of the book introduces the theoretical and technological foundations for designing and developing mashups, as well as for designing tools that can aid mashup development. The second part then focuses more specifically on various aspects of mashups. It discusses a set of core component technologies, core approaches and architectural patterns, with a particular emphasis on tool-aided mashup development exploiting model-driven architectures. Development processes for mashups are also discussed and special attention is paid to composition paradigms for the end-user development of mashups and quality issues. Overall, the book is of interest to a wide range of readers. Students, lecturers, and researchers will find a comprehensive overview of core concepts and technological foundations for mashup implementation and composition. Even without low-level coding details, practitioners like software architects will find guidance on key implementation concepts, architectural patterns and development tools and approaches. A related website provides additional teaching material which can be used either as part of a course or for self study.
| Author | : O'Reilly Radar Team |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 141 |
| Release | : 2011-08-30 |
| Genre | : Computers |
| ISBN | : 1449315216 |
Download Big Data Now: Current Perspectives from O'Reilly Radar Book in PDF, ePub and Kindle
This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas: Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself. The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research. Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena. The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.
| Author | : Florian Daniel |
| Publisher | : Springer |
| Total Pages | : 143 |
| Release | : 2017-01-23 |
| Genre | : Computers |
| ISBN | : 3319531743 |
Download Rapid Mashup Development Tools Book in PDF, ePub and Kindle
This book constitutes revised selected papers from the Second International Rapid Mashup Challenge, RMC 2016, held in Lugano, Switzerland in June 2016. The 6 papers presented in this volume were carefully reviewed and selected from 8 submissions. They are post-challenge extensions of the selected short participation proposals. The 2016 edition of the Challenge is the second installment of a series of challenges that aim to engage researchers and practitioners in a competition for the best mashup approach.
| Author | : Hadley Wickham |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 579 |
| Release | : 2023-06-08 |
| Genre | : Computers |
| ISBN | : 1492097373 |
Download R for Data Science Book in PDF, ePub and Kindle
Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way. You'll understand how to: Visualize: Create plots for data exploration and communication of results Transform: Discover variable types and the tools to work with them Import: Get data into R and in a form convenient for analysis Program: Learn R tools for solving data problems with greater clarity and ease Communicate: Integrate prose, code, and results with Quarto
| Author | : Andrie de Vries |
| Publisher | : John Wiley & Sons |
| Total Pages | : 470 |
| Release | : 2012-06-06 |
| Genre | : Computers |
| ISBN | : 1119963133 |
Download R For Dummies Book in PDF, ePub and Kindle
Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more Visualize it ? learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes Open the book and find: Help downloading, installing, and configuring R Tips for getting data in and out of R Ways to use data frames and lists to organize data How to manipulate and process data Advice on fitting regression models and ANOVA Helpful hints for working with graphics How to code in R What R mailing lists and forums can do for you
| Author | : Nicholas J. Horton |
| Publisher | : CRC Press |
| Total Pages | : 299 |
| Release | : 2010-07-28 |
| Genre | : Mathematics |
| ISBN | : 1439827567 |
Download Using R for Data Management, Statistical Analysis, and Graphics Book in PDF, ePub and Kindle
Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsUsing R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes
| Author | : Alvaro A.A. Fernandes |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 246 |
| Release | : 2011-10-28 |
| Genre | : Computers |
| ISBN | : 3642245765 |
Download Advances in Databases Book in PDF, ePub and Kindle
This book constitutes the thoroughly refereed post-conference proceedings of the 28th British National Conference on Databases, BNCOD 28, held in Manchester, UK, in July 2011. The 13 revised full papers, 2 short papers, 2 demo papers and 1 poster paper presented together with the abstracts of 2 keynote talks and 1 tutorial paper were carefully reviewed and selected from 44 submissions. The papers cover a wide range of topics such as XML compression, XML updates, column-oriented stores, provenance, warehousing, streamed data, data mashups, dataspaces, sensor network query processing, and pattern-oriented search.
