Download or read book Deborah Nolan Duncan Temple Lang XML and Web Technologies for Data Sciences with R written by Simon Munzert and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book XML and Web Technologies for Data Sciences with R written by Deborah Nolan and published by Springer Science & Business Media. This book was released on 2013-11-29 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays. The XML and JSON data formats are widely used in Web services, regular Web pages and JavaScript code, and visualization formats such as SVG and KML for Google Earth and Google Maps. In addition, scientists use HTTP and other network protocols to scrape data from Web pages, access REST and SOAP Web Services, and interact with NoSQL databases and text search applications. This book provides a practical hands-on introduction to these technologies, including high-level functions the authors have developed for data scientists. It describes strategies and approaches for extracting data from HTML, XML, and JSON formats and how to programmatically access data from the Web. Along with these general skills, the authors illustrate several applications that are relevant to data scientists, such as reading and writing spreadsheet documents both locally and via Google Docs, creating interactive and dynamic visualizations, displaying spatial-temporal displays with Google Earth, and generating code from descriptions of data structures to read and write data. These topics demonstrate the rich possibilities and opportunities to do new things with these modern technologies. The book contains many examples and case-studies that readers can use directly and adapt to their own work. The authors have focused on the integration of these technologies with the R statistical computing environment. However, the ideas and skills presented here are more general, and statisticians who use other computing environments will also find them relevant to their work. Deborah Nolan is Professor of Statistics at University of California, Berkeley. Duncan Temple Lang is Associate Professor of Statistics at University of California, Davis and has been a member of both the S and R development teams.

Download or read book Data Science in R written by Deborah Nolan and published by CRC Press. This book was released on 2015-04-21 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts

Download or read book Data Science in R written by Deborah Nolan and published by CRC Press. This book was released on 2015-04-21 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts

Download or read book Mastering Data Analysis with R written by Gergely Daroczi and published by Packt Publishing Ltd. This book was released on 2015-09-30 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed with practical advice and tips to help you get to grips with data mining Who This Book Is For If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic. What You Will Learn Connect to and load data from R's range of powerful databases Successfully fetch and parse structured and unstructured data Transform and restructure your data with efficient R packages Define and build complex statistical models with glm Develop and train machine learning algorithms Visualize social networks and graph data Deploy supervised and unsupervised classification algorithms Discover how to visualize spatial data with R In Detail R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently. This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage. Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods. Style and approach Covering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.

Download or read book Learning Data Science written by Sam Lau and published by "O'Reilly Media, Inc.". This book was released on 2023-09-15 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas. Refine a question of interest to one that can be studied with data Pursue data collection that may involve text processing, web scraping, etc. Glean valuable insights about data through data cleaning, exploration, and visualization Learn how to use modeling to describe the data Generalize findings beyond the data

Download or read book Extending R written by John M. Chambers and published by CRC Press. This book was released on 2017-12-19 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Up-to-Date Guidance from One of the Foremost Members of the R Core Team Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides programming guidance for projects of all scales, and introduces new, valuable techniques that extend R. The book first describes the fundamental characteristics and background of R, giving readers a foundation for the remainder of the text. It next discusses topics relevant to programming with R, including the apparatus that supports extensions. The book then extends R’s data structures through object-oriented programming, which is the key technique for coping with complexity. The book also incorporates a new structure for interfaces applicable to a variety of languages. A reflection of what R is today, this guide explains how to design and organize extensions to R by correctly using objects, functions, and interfaces. It enables current and future users to add their own contributions and packages to R. A 2017 Choice Outstanding Academic Title

Download or read book The SAGE Handbook of Research Methods in Political Science and International Relations written by Luigi Curini and published by SAGE. This book was released on 2020-04-09 with total page 1861 pages. Available in PDF, EPUB and Kindle. Book excerpt: The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 major new contributions from leading international methodologists. Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations: Part One: Formulating Good Research Questions & Designing Good Research Projects Part Two: Methods of Theoretical Argumentation Part Three: Conceptualization & Measurement Part Four: Large-Scale Data Collection & Representation Methods Part Five: Quantitative-Empirical Methods Part Six: Qualitative & "Mixed" Methods

Download or read book Quantitative Corpus Linguistics with R written by Stefan Th. Gries and published by Routledge. This book was released on 2016-10-14 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: As in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on: data processing and manipulation in general; text processing with and without regular expressions of large bodies of textual and/or literary data, and; basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.

Download or read book Teaching Statistics written by Andrew Gelman and published by Oxford University Press. This book was released on 2017-05-04 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to learn. To help overcome these challenges, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, activities, examples, and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and has chapters such as 'First week of class'— with exercises to break the ice and get students talking; then descriptive statistics, graphics, linear regression, data collection (sampling and experimentation), probability, inference, and statistical communication. Part II gives tips on what works and what doesn't, how to set up effective demonstrations, how to encourage students to participate in class and to work effectively in group projects. Course plans for introductory statistics, statistics for social scientists, and communication and graphics are provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics, sampling, and data science.

Download or read book Using R and RStudio for Data Management Statistical Analysis and Graphics written by Nicholas J. Horton and published by CRC Press. This book was released on 2015-03-10 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the aspects of R most often used by statistical analysts. Incorporating the use of RStudio and the latest R packages, this second edition offers new chapters on simulation, special topics, and case studies. It reorganizes and enhances the chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots. It also provides a detailed discussion of the philosophy and use of the knitr and markdown packages for R.

Download or read book Cloud Computing written by Michael Miller and published by Que Publishing. This book was released on 2008-08-11 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud Computing: Web-Based Applications That Change the Way You Work and Collaborate On-Line Computing as you know it has changed. No longer are you tied to using expensive programs stored on your computer. No longer will you be able to only access your data from one computer. No longer will you be tied to doing work only from your work computer or playing only from your personal computer. Enter cloud computing—an exciting new way to work with programs and data, collaborate with friends and family, share ideas with coworkers and friends, and most of all, be more productive! The “cloud” consists of thousands of computers and servers, all linked and accessible to you via the Internet. With cloud computing, everything you do is now web-based instead of being desktop-based; you can access all your programs and documents from any computer that’s connected to the Internet. Whether you want to share photographs with your family, coordinate volunteers for a community organization, or manage a multi-faceted project in a large organization, cloud computing can help you do it more easily than ever before. Trust us. If you need to collaborate, cloud computing is the way to do it. • Learn what cloud computing is, how it works, who should use it, and why it’s the wave of the future. • Explore the practical benefits of cloud computing, from saving money on expensive programs to accessing your documents ANYWHERE. • See just how easy it is to manage work and personal schedules, share documents with coworkers and friends, edit digital photos, and much more! • Learn how to use web-based applications to collaborate on reports and presentations, share online calendars and to-do lists, manage large projects, and edit and store digital photographs. Michael Miller is known for his casual, easy-to-read writing style and his ability to explain a wide variety of complex topics to an everyday audience. Mr. Miller has written more than 80 nonfiction books over the past two decades, with more than a million copies in print. His books for Que include Absolute Beginner’s Guide to Computer Basics, Googlepedia: The Ultimate Google Resource, and Is It Safe?: Protecting Your Computer, Your Business, and Yourself Online. His website is located at www.molehillgroup.com. Covers the most popular cloud-based applications, including the following: • Adobe Photoshop Express • Apple MobileMe • Glide OS • Google Docs • Microsoft Office Live Workspace • Zoho Office CATEGORY: Web Applications COVERS: Cloud Computing USER LEVEL: Beginner-Intermediate

Download or read book Automated Data Collection with R written by Simon Munzert and published by John Wiley & Sons. This book was released on 2015-01-20 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An extensive set of exercises are presented to guide the reader through each technique. Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management. Case studies are featured throughout along with examples for each technique presented. R code and solutions to exercises featured in the book are provided on a supporting website.

Download or read book SQL Queries for Mere Mortals written by John L. Viescas and published by Pearson Education. This book was released on 2014 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: The #1 Easy, Common-Sense Guide to SQL Queries--Updated for Today's Databases, Standards, and Challenges SQL Queries for Mere Mortals ® has earned worldwide praise as the clearest, simplest tutorial on writing effective SQL queries. The authors have updated this hands-on classic to reflect new SQL standards and database applications and teach valuable new techniques. Step by step, John L. Viescas and Michael J. Hernandez guide you through creating reliable queries for virtually any modern SQL-based database. They demystify all aspects of SQL query writing, from simple data selection and filtering to joining multiple tables and modifying sets of data. Three brand-new chapters teach you how to solve a wide range of challenging SQL problems. You'll learn how to write queries that apply multiple complex conditions on one table, perform sophisticated logical evaluations, and think "outside the box" using unlinked tables. Coverage includes -- Getting started: understanding what relational databases are, and ensuring that your database structures are sound -- SQL basics: using SELECT statements, creating expressions, sorting information with ORDER BY, and filtering data using WHERE -- Summarizing and grouping data with GROUP BY and HAVING clauses -- Drawing data from multiple tables: using INNER JOIN, OUTER JOIN, and UNION operators, and working with subqueries -- Modifying data sets with UPDATE, INSERT, and DELETE statements Advanced queries: complex NOT and AND, conditions, if-then-else using CASE, unlinked tables, driver tables, and more Practice all you want with downloadable sample databases for today's versions of Microsoft Office Access, Microsoft SQL Server, and the open source MySQL database. Whether you're a DBA, developer, user, or student, there's no better way to master SQL. informit.com/aw forMereMortals.com

Download or read book ggplot2 written by Hadley Wickham and published by Springer Science & Business Media. This book was released on 2009-10-03 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures

Download or read book Web Programming and Internet Technologies written by Porter Scobey and published by Jones & Bartlett Learning. This book was released on 2016-09-12 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Web Programming and Internet Technologies: An E-Commerce Approach is written for the one-term web programming course for first or second year students. I features a hands-on learning approach where students are provided with information on a need to know basis. The text provides a running case study throughout, and students then take the topics taught in each chapter and apply them to the development of an e-commerce website. At the end of the text students will have a fully functional e-commerce site!

Download or read book Terrorist Assemblages written by Jasbir K. Puar and published by Duke University Press. This book was released on 2007-10-05 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this pathbreaking work, Jasbir K. Puar argues that configurations of sexuality, race, gender, nation, class, and ethnicity are realigning in relation to contemporary forces of securitization, counterterrorism, and nationalism. She examines how liberal politics incorporate certain queer subjects into the fold of the nation-state, through developments including the legal recognition inherent in the overturning of anti-sodomy laws and the proliferation of more mainstream representation. These incorporations have shifted many queers from their construction as figures of death (via the AIDS epidemic) to subjects tied to ideas of life and productivity (gay marriage and reproductive kinship). Puar contends, however, that this tenuous inclusion of some queer subjects depends on the production of populations of Orientalized terrorist bodies. Heteronormative ideologies that the U.S. nation-state has long relied on are now accompanied by homonormative ideologies that replicate narrow racial, class, gender, and national ideals. These “homonationalisms” are deployed to distinguish upright “properly hetero,” and now “properly homo,” U.S. patriots from perversely sexualized and racialized terrorist look-a-likes—especially Sikhs, Muslims, and Arabs—who are cordoned off for detention and deportation. Puar combines transnational feminist and queer theory, Foucauldian biopolitics, Deleuzian philosophy, and technoscience criticism, and draws from an extraordinary range of sources, including governmental texts, legal decisions, films, television, ethnographic data, queer media, and activist organizing materials and manifestos. Looking at various cultural events and phenomena, she highlights troublesome links between terrorism and sexuality: in feminist and queer responses to the Abu Ghraib photographs, in the triumphal responses to the Supreme Court’s Lawrence decision repealing anti-sodomy laws, in the measures Sikh Americans and South Asian diasporic queers take to avoid being profiled as terrorists, and in what Puar argues is a growing Islamophobia within global queer organizing.