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Pro data visualization using R and JavaScript /

Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis. You'll see how to use R to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Barker, Tom, 1977- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : New York : Apress ; Distributed to the Book trade worldwide by Springer, 2013.
Colección:Expert's voice in Web development.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Barker, Tom,  |d 1977-  |e author. 
245 1 0 |a Pro data visualization using R and JavaScript /  |c Tom Barker. 
264 1 |a Berkeley, CA :  |b Apress ;  |a New York :  |b Distributed to the Book trade worldwide by Springer,  |c 2013. 
300 |a 1 online resource (xii, 193 pages) :  |b illustrations 
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490 1 |a The expert's voice in Web development 
520 |a Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis. You'll see how to use R 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. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed August 20, 2013). 
505 0 |a Chapter 1. Background -- chapter 2. R language primer -- chapter 3. A deeper dive into R -- chapter 4. Data visualization with D3 -- chapter 5. Visualizing spatial data from access logs -- chapter 6. Visualizing data over time -- chapter 7. Bar charts -- chapter 8. Correlation analysis with scatter plots -- chapter 9. Visualizing the balance of delivery and quality with parallel coordinates. 
504 |a Includes bibliographical references and index. 
546 |a English. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Information visualization. 
650 0 |a R (Computer program language) 
650 0 |a JavaScript (Computer program language) 
650 0 |a Big data. 
650 0 |a Software engineering. 
650 6 |a Données volumineuses. 
650 6 |a Génie logiciel. 
650 6 |a Visualisation de l'information. 
650 6 |a R (Langage de programmation) 
650 6 |a JavaScript (Langage de programmation) 
650 7 |a REFERENCE  |x Questions & Answers.  |2 bisacsh 
650 7 |a Software engineering  |2 fast 
650 7 |a Big data  |2 fast 
650 7 |a Information visualization  |2 fast 
650 7 |a JavaScript (Computer program language)  |2 fast 
650 7 |a R (Computer program language)  |2 fast 
655 0 |a Electronic books. 
776 0 8 |i Print version:  |a Barker, Tom.  |t Pro Data Visualization using R and JavaScript.  |d Dordrecht : Springer, ©2013  |z 9781430258063 
830 0 |a Expert's voice in Web development. 
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