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ISBN 10: 1484285581 ISBN 13: 9781484285589
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ISBN 10: 1484285581 ISBN 13: 9781484285589
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Taschenbuch. Condition: Neu. Pro Data Visualization Using R and JavaScript | Analyze and Visualize Key Data on the Web | Tom Barker (u. a.) | Taschenbuch | xv | Englisch | 2021 | Apress | EAN 9781484272015 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Language: English
Published by Springer, Berlin|Apress, 2022
ISBN 10: 1484272013 ISBN 13: 9781484272015
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 h.
Language: English
Published by Apress, Apress Okt 2021, 2021
ISBN 10: 1484272013 ISBN 13: 9781484272015
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 LearnCarry out data visualization using R and JavaScriptUse RStudio for data visualizationHarness Tidyverse data pipelinesApply D3 and R Not Elektronisches Buch towards your data Work with the R Plumber API generator, Shiny, and moreWho This Book Is ForProgrammers and data scientists/analysts who have some prior experience with R and JavaScript.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 292 pp. Englisch.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 ofmathematicians, 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 JavaScriptcombines 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 Not Elektronisches Buch towards your data Work with the R Plumber API generator, Shiny, and more Who This Book Is ForProgrammers and data scientists/analysts who have some prior experience with R and JavaScript.