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Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web, Barker Tom, Westfall Jon


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Цена: 8384.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Barker Tom, Westfall Jon
Название:  Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web
ISBN: 9781484272015
Издательство: Springer
Классификация:




ISBN-10: 1484272013
Обложка/Формат: Paperback
Страницы: 292
Вес: 0.51 кг.
Дата издания: 28.05.2022
Серия: Design thinking
Язык: English
Издание: 2nd ed.
Иллюстрации: 112 illustrations, black and white; xv, 274 p. 112 illus.; 112 illustrations, black and white; xv, 274 p. 112 illus.
Размер: 25.40 x 17.78 x 1.55 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Black beauty - the wind in the willows - treasure island - the secret garden - alice`s adventures in wonderland
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually. With the popularity of the R language, the art and practice of creating data visualizations is no longer the preserve of mathematicians, statisticians, or cartographers. As technology leaders, we can gather metrics around what we do and use data visualizations to communicate that information. Pro Data Visualization Using R and JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data visualizations. Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. This book makes the R language approachable, and promotes the idea of data gathering and analysis mostly using web interfaces. What You Will Learn * Carry out data visualization using R and JavaScript * Use RStudio for data visualization * Harness Tidyverse data pipelines Apply D3 and R Notebooks towards your data * Work with the R Plumber API generator, Shiny, and more Who This Book Is For Programmers and data scientists/analysts who have some prior experience with R and JavaScript.
Дополнительное описание: 1. Background.- 2. R Language Primer.- 3. A Deeper Dive into R.- 4. Data Visualization with D3.- 5. Visualizing Spatial Data from Access Logs.- 6. Visualizing Data Over Time.- 7. Bar Charts.- 8. Correlation Analysis with Scatter Plots.- 9. Visualizing the



Data analytics and visualization in quality analysis using tableau

Автор: Hwang, Jaejin (northern Illinois University, United States) Yoon, Youngjin (pitney Bowes, Acadia Ln, Shelton, Ct, United States)
Название: Data analytics and visualization in quality analysis using tableau
ISBN: 0367744147 ISBN-13(EAN): 9780367744144
Издательство: Taylor&Francis
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Цена: 13014.00 р.
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Описание: Data Analytics and Visualization in Quality Analysis using Tableau goes beyond the existing quality statistical analysis. It helps quality practitioners perform effective quality control and analysis using Tableau, a user-friendly data analytics and visualization software. It begins with a basic introduction to quality analysis with Tableau including differentiating factors from other platforms. It is followed by a description of features and functions of quality analysis tools followed by step-by-step instructions on how to use Tableau. Further, quality analysis through Tableau based on open source data is explained based on five case studies. Lastly, it systematically describes the implementation of quality analysis through Tableau in an actual workplace via a dashboard example.Features:Describes a step-by-step method of Tableau to effectively apply data visualization techniques in quality analysisFocuses on a visualization approach for practical quality analysisProvides comprehensive coverage of quality analysis topics using state-of-the-art concepts and applications Illustrates pragmatic implementation methodology and instructions applicable to real-world and business casesInclude examples of ready-to-use templates of customizable Tableau dashboardsThis book is aimed at professionals, graduate students and senior undergraduate students in industrial systems and quality engineering, process engineering, systems engineering, quality control, quality assurance and quality analysis.


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