Warehouse Stock Clearance Sale

Grab a bargain today!


Sign Up for Fishpond's Best Deals Delivered to You Every Day
Go
Pro Data Visualization ­Using R and JavaScript
Analyze and Visualize Key Data on the Web

Rating
Format
Paperback, 274 pages
Published
United States, 1 October 2021

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.



1. Exploring Data Visualization

2. RStudio

3. Tidyverse Data Pipelines

4. Data Visualization with D3

5. Comparing Groups with Bar Charts

6. Correlation Analysis with Scatter Plots

7. Datetime Trend Data with Line Charts

8. Visual Presentations with D3 and R Notebooks
9. Interactive Dashboards with D3 and Shiny

10. Visualization on the Web with D3 and R Plumber API Generator

Show more

Our Price
£43.38
Elsewhere
£49.99
Save £6.61 (13%)
Ships from USA Estimated delivery date: 9th May - 19th May from USA
Free Shipping Worldwide

Buy Together
+
Buy together with Beginning Android Web Apps Development at a great price!
Buy Together
£74.29

Product Description

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.



1. Exploring Data Visualization

2. RStudio

3. Tidyverse Data Pipelines

4. Data Visualization with D3

5. Comparing Groups with Bar Charts

6. Correlation Analysis with Scatter Plots

7. Datetime Trend Data with Line Charts

8. Visual Presentations with D3 and R Notebooks
9. Interactive Dashboards with D3 and Shiny

10. Visualization on the Web with D3 and R Plumber API Generator

Show more
Product Details
EAN
9781484272015
ISBN
1484272013
Publisher
Other Information
Illustrated
Dimensions
25.4 x 17.8 x 1.6 centimeters (0.51 kg)

Table of Contents

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.

About the Author

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.

Reviews

“This book offers a gradual introduction to data visualization by using R to analyse data and R and D3 Javascript libraries to format and make data visually interesting. … this book is a practical tool to implement data visualization solution for standard charts in R and D3 JS with programs allowing the reader to test and implement these solutions, and also to improve them their own use.” (Sébastien Bailly, ISCB News, iscb.info, June, 2022)

Show more
Review this Product
Ask a Question About this Product More...
 
Look for similar items by category
Item ships from and is sold by Fishpond.com, Inc.

Back to top
We use essential and some optional cookies to provide you the best shopping experience. Visit our cookies policy page for more information.