Pro Data Visualization Using R and JavaScript
Apress (Verlag)
978-1-4842-7201-5 (ISBN)
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.
Tom Barker is an engineer, a professor and an author. Currently he is Sr Manager of Web Development at Comcast, and an instructor at Philadelphia University. He has authored several books on web development including Pro JavaScript Performance: Monitoring and Visualization, and Pro Data Visualization with JavaScript and R. Matthew Campbell has worked on data visualization and dashboards with a data science team using RStudio. He got his start with technology after college when he learned SAS to do statistical programming at the Educational Testing Service (ETS). Learning this programming language kicked off a lifelong obsession with technology.
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 Balance of Delivery and Quality with Parallel Coordinates.
Erscheinungsdatum | 18.10.2021 |
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Zusatzinfo | 112 Illustrations, black and white; XV, 274 p. 112 illus. |
Verlagsort | Berkley |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge | |
Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Informatik ► Web / Internet ► JavaScript | |
Schlagworte | Analysis • Code • Data • Data Science • JavaScript • programming • R • R Studio • RStudio • source • Statistics • Visualization |
ISBN-10 | 1-4842-7201-3 / 1484272013 |
ISBN-13 | 978-1-4842-7201-5 / 9781484272015 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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