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Mastering Shiny


Mastering Shiny
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Mastering Shiny


Mastering Shiny
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Author : Hadley Wickham
language : en
Publisher:
Release Date : 2021

Mastering Shiny written by Hadley Wickham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


Master the Shiny web framework--and take your R skills to a whole new level. Shiny helps you create fully interactive web apps for data analyses by letting you move beyond static reports, tables, and graphs. Your users will be able to jump between datasets, explore different subsets, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create complex Shiny apps. Shiny is easy to learn, but even intermediate users often wonder what they've missed. This in-depth introduction provides a learning path that you can follow with confidence. Getting started: Begin with a tutorial-style exploration of the basics Shiny in action: Explore Shiny functionality with a focus on code samples and example apps Best practices: Learn techniques for managing complexity and ensuring correctness, and explore ways to measure and improve your Shiny app's scalability Mastering reactivity: Learn the underlying theory of reactivity to improve your ability to reason about complex Shiny apps.



Mastering Shiny


Mastering Shiny
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-04-29

Mastering Shiny written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-29 with Computers categories.


Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production



Mastering Shiny


Mastering Shiny
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Author : Hadley Wickham
language : en
Publisher:
Release Date : 2021-04-13

Mastering Shiny written by Hadley Wickham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-13 with categories.


Master the Shiny web framework--and take your R skills to a whole new level. Shiny helps you create fully interactive web apps for data analyses by letting you move beyond static reports, tables, and graphs. Your users will be able to jump between datasets, explore different subsets, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create complex Shiny apps. Shiny is easy to learn, but even intermediate users often wonder what they've missed. This in-depth introduction provides a learning path that you can follow with confidence. Getting started: Begin with a tutorial-style exploration of the basics Shiny in action: Explore Shiny functionality with a focus on code samples and example apps Best practices: Learn techniques for managing complexity and ensuring correctness, and explore ways to measure and improve your Shiny app's scalability Mastering reactivity: Learn the underlying theory of reactivity to improve your ability to reason about complex Shiny apps



Web Application Development With R Using Shiny


Web Application Development With R Using Shiny
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Author : Chris Beeley
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-09-27

Web Application Development With R Using Shiny written by Chris Beeley and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Computers categories.


Shiny is an open source R package that provides an elegant and powerful web framework for building web applications using R. This guide takes a fresh approach to developing scalable web applications. It will enable you to create responsive, interactive web applications using the complete R Shiny suite.



Hands On Data Science For Librarians


Hands On Data Science For Librarians
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Author : Sarah Lin
language : en
Publisher: CRC Press
Release Date : 2023-05-09

Hands On Data Science For Librarians written by Sarah Lin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-09 with Business & Economics categories.


Librarians understand the need to store, use and analyze data related to their collection, patrons and institution, and there has been consistent interest over the last 10 years to improve data management, analysis, and visualization skills within the profession. However, librarians find it difficult to move from out-of-the-box proprietary software applications to the skills necessary to perform the range of data science actions in code. This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others. While there’s a place for theory, ethics, and statistical methods, librarians need a tool to help them acquire enough facility with R to utilize data science skills in their daily work, no matter what type of library they work at (academic, public or special). By walking through each skill and its application to library work before walking the reader through each line of code, this book will support librarians who want to apply data science in their daily work. Hands-On Data Science for Librarians is intended for librarians (and other information professionals) in any library type (public, academic or special) as well as graduate students in library and information science (LIS). Key Features: Only data science book available geared toward librarians that includes step-by-step code examples Examples include all library types (public, academic, special) Relevant datasets Accessible to non-technical professionals Focused on job skills and their applications



Doing Data Science In R


Doing Data Science In R
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Author : Mark Andrews
language : en
Publisher: SAGE
Release Date : 2021-03-31

Doing Data Science In R written by Mark Andrews and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with Psychology categories.


This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences.



Using R For Trade Policy Analysis


Using R For Trade Policy Analysis
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Author : Massimiliano Porto
language : en
Publisher: Springer Nature
Release Date : 2023-09-05

Using R For Trade Policy Analysis written by Massimiliano Porto and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-05 with Political Science categories.


This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy Analysis by using R. Applications and exercises are chosen from the Practical Guide to Trade Policy Analysis and explain how to implement the codes in R. This books targets readers with a basic knowledge of R. It is particularly suitable for Stata users. This edition has been updated and expanded to include updated R code and visualization tools.



Building A Platform For Data Driven Pandemic Prediction


Building A Platform For Data Driven Pandemic Prediction
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Author : Dani Gamerman
language : en
Publisher: CRC Press
Release Date : 2021-09-13

Building A Platform For Data Driven Pandemic Prediction written by Dani Gamerman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-13 with Medical categories.


This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive plotting programs. The focus is on the integration of statistics and computing tools rather than on an in-depth analysis of all possibilities on each side. Readers can follow different reading paths through the book, depending on their needs. The book is meant as a basis for further investigation of statistical modelling, implementation tools, monitoring aspects, and software functionalities. Features: A general but parsimonious class of models to perform statistical prediction for epidemics, using a Bayesian approach Implementation of automated routines to obtain daily prediction results How to interactively visualize the model results Strategies for monitoring the performance of the predictions and identifying potential issues in the results Discusses the many decisions required to develop and publish online platforms Supplemented by an R package and its specific functionalities to model epidemic outbreaks The book is geared towards practitioners with an interest in the development and presentation of results in an online platform of statistical analysis of epidemiological data. The primary audience includes applied statisticians, biostatisticians, computer scientists, epidemiologists, and professionals interested in learning more about epidemic modelling in general, including the COVID-19 pandemic, and platform building. The authors are professors at the Statistics Department at Universidade Federal de Minas Gerais. Their research records exhibit contributions applied to a number of areas of Science, including Epidemiology. Their research activities include books published with Chapman and Hall/CRC and papers in high quality journals. They have also been involved with academic management of graduate programs in Statistics and one of them is currently the President of the Brazilian Statistical Association.



Apple Cd Rom Handbook


Apple Cd Rom Handbook
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Author : Joel Nagy
language : en
Publisher: Addison-Wesley Professional
Release Date : 1992

Apple Cd Rom Handbook written by Joel Nagy and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.


A concise guide for anyone who is investigating the use of this technology. It describes how to develop CD-ROMs, paying particular attention to the importance of the user interface and search engines.



Mastering Digital Slr Photography


Mastering Digital Slr Photography
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Author : David D. Busch
language : en
Publisher: Course Technology
Release Date : 2005

Mastering Digital Slr Photography written by David D. Busch and has been published by Course Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


Emphasizes digital photography, from lens selection and creative exposure techniques to controlling composition and mastering specialfeatures.