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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.
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.
An updated second edition with emphasis on visualizing data and programming web interfaces
Includes information about correlation analysis with scatter plots
Covers date/time trend data with line chart and more
| Erscheinungsjahr: | 2021 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 292 |
| Inhalt: |
xv
274 S. 112 s/w Illustr. 274 p. 112 illus. |
| ISBN-13: | 9781484272015 |
| ISBN-10: | 1484272013 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Westfall, Jon
Barker, Tom |
| Auflage: | 2nd ed. |
| Hersteller: |
Apress
Apress L.P. |
| Maße: | 254 x 178 x 16 mm |
| Von/Mit: | Jon Westfall (u. a.) |
| Erscheinungsdatum: | 08.10.2021 |
| Gewicht: | 0,554 kg |
An updated second edition with emphasis on visualizing data and programming web interfaces
Includes information about correlation analysis with scatter plots
Covers date/time trend data with line chart and more
| Erscheinungsjahr: | 2021 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 292 |
| Inhalt: |
xv
274 S. 112 s/w Illustr. 274 p. 112 illus. |
| ISBN-13: | 9781484272015 |
| ISBN-10: | 1484272013 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Westfall, Jon
Barker, Tom |
| Auflage: | 2nd ed. |
| Hersteller: |
Apress
Apress L.P. |
| Maße: | 254 x 178 x 16 mm |
| Von/Mit: | Jon Westfall (u. a.) |
| Erscheinungsdatum: | 08.10.2021 |
| Gewicht: | 0,554 kg |
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