Interactive web-based data visualization with r, plotly, and shiny, Sievert, Carson
Автор: Williams Thomas, Kelley Colin Название: Gnuplot 5.2 Manual: An Interactive Plotting Program ISBN: 1680921711 ISBN-13(EAN): 9781680921717 Издательство: Неизвестно Цена: 3226.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Create and publish your own interactive data visualization projects on the web-even if you have little or no experience with data visualization or web development. It`s inspiring and fun with this friendly, accessible, and practical hands-on introduction.
Автор: Moon, Keon-woong Название: Learn ggplot2 using shiny app ISBN: 3319530186 ISBN-13(EAN): 9783319530185 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding. In widespread use in the statistical communities, R is a free software language and environment for statistical programming and graphics. Many users find R to have a steep learning curve but to be extremely useful once overcome. ggplot2 is an extremely popular package tailored for producing graphics within R but which requires coding and has a steep learning curve itself, and Shiny is an open source R package that provides a web framework for building web applications using R without requiring HTML, CSS, or JavaScript. This manual--"integrating" R, ggplot2, and Shiny--introduces a new Shiny app, Learn ggplot2, that allows users to make plots easily without coding. With the Learn ggplot2 Shiny app, users can make plots using ggplot2 without having to code each step, reducing typos and error messages and allowing users to become familiar with ggplot2 code. The app makes it easy to apply themes, make multiplots (combining several plots into one plot), and download plots as PNG, PDF, or PowerPoint files with editable vector graphics. Users can also make plots on any computer or smart phone. Learn ggplot2 Using Shiny App allows users to
Make publication-ready plots in minutes without coding
Download plots with desired width, height, and resolution
Plot and download plots in png, pdf, and PowerPoint formats, with or without R code and with editable vector graphics
Описание: Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python, and most importantly, helps you make your storytelling more intuitive and persuasive.
Описание: IPython Interactive Computing and Visualization Cookbook, Second Edition shows you how to analyze and visualize data in the Jupyter Notebook. It will help you become an expert in high-performance computing and visualization for data analysis and scientific modeling.
Описание: Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations.Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis.
Описание: Cybersecurity needs a change in communication. It is time to show the world that cybersecurity is an exciting and diverse field to work in. Cybersecurity is not only about hackers and technical gobbledygook. It is a diverse field of work with a lot of collaboration with other disciplines. Over the years, security professionals have tried different awareness strategies to promote their work and to improve the knowledge of their audience but without much success. Communication problems are holding back advances in in the field.
Visual Communication for Cybersecurity explores the possibilities of visual communication as a tool to improve the communication about cybersecurity and to better connect with non-experts. Visual communication is useful to explain complex topics and to solve complex problems. Visual tools are easy to share through social media and have the possibility to reach a wide audience. When applied strategically, visual communication can contribute to a people-centric approach to security, where employees are encouraged to actively engage in security activities rather than simply complying with the policies.
Cybersecurity education does not usually include communication theory or creative skills. Many experts think that it is not part of their job and is best left to the communication department or they think that they lack any creative talent. This book introduces communication theories and models, gives practical tips, and shows many examples. The book can support students in cybersecurity education and professionals searching for alternatives to bullet-point presentations and textual reports. On top of that, if this book succeeds in inspiring the reader to start creating visuals, it may also give the reader the pleasure of seeing new possibilities and improving their performance.
The book is divided into different parts for readers with different interests. There is no need to read the book from cover to cover; the chapters are organized thematically. Readers that are interested in how to apply communication theory to cybersecurity will enjoy the chapters about learning, the context in which communication takes place, and how people are persuaded. Readers that are looking for inspiration and examples of how to use visuals in their daily tasks go straight to the third section of the book. The last section is a workbook that will help the reader to take the first steps towards using visual communication at work.
Автор: by Laura Po; Nikos Bikakis; Federico Desimoni Название: Linked Data Visualization ISBN: 1681737256 ISBN-13(EAN): 9781681737256 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 8039.00 р. Наличие на складе: Нет в наличии.
Описание: Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains.
The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens.
This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios.
The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization.
Описание: This book describes interactive data visualization using the R package plotly. It focuses on tools and techniques that data analysts should find useful for asking follow-up questions from their data using interactive web graphics. A basic understanding of R is assumed.
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