東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Pro data visualization using R and J...

Barker, Tom.

Linked to FindBook

Google Book

Amazon

博客來

Pro data visualization using R and Javascript = analyze and visualize key data on the web /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pro data visualization using R and Javascript/ by Tom Barker, Jon Westfall.
Reminder of title:	analyze and visualize key data on the web /
Author:	Barker, Tom.
other author:	Westfall, Jon.
Published:	Berkeley, CA :Apress : : 2022.,
Description:	xv, 274 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Information visualization. -
Online resource:	https://doi.org/10.1007/978-1-4842-7202-2
ISBN:	9781484272022

Pro data visualization using R and Javascript = analyze and visualize key data on the web /
Barker, Tom.

Pro data visualization using R and Javascriptanalyze and visualize key data on the web /[electronic resource] :by Tom Barker, Jon Westfall. - Second edition. - Berkeley, CA :Apress :2022. - xv, 274 p. :ill., digital ;24 cm.

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.

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. You will: 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.

ISBN: 9781484272022

Standard No.: 10.1007/978-1-4842-7202-2doiSubjects--Topical Terms:

615673
Information visualization.

LC Class. No.: QA76.9.I52 / B37 2022

Dewey Class. No.: 001.4226

Pro data visualization using R and Javascript = analyze and visualize key data on the web /
LDR:02999nmm a2200337 a 4500 001 2296582
003 DE-He213
005 20211007160431.0
006 m d
007 cr nn 008maaau
008 230324s2022 cau s 0 eng d
020 $a 9781484272022 $q (electronic bk.)
020 $a 9781484272015 $q (paper)
024 7 $a 10.1007/978-1-4842-7202-2 $2 doi
035 $a 978-1-4842-7202-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.I52 $b B37 2022
072 7 $a U $2 bicssc
072 7 $a COM000000 $2 bisacsh
072 7 $a UX $2 thema
082 0 4 $a 001.4226 $2 23
090 $a QA76.9.I52 $b B255 2022
100 1 $a Barker, Tom. $3 3530261
245 1 0 $a Pro data visualization using R and Javascript $h [electronic resource] : $b analyze and visualize key data on the web / $c by Tom Barker, Jon Westfall.
250 $a Second edition.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2022.
300 $a xv, 274 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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. You will: 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.
650 0 $a Information visualization. $3 615673
650 0 $a R (Computer program language) $3 784593
650 0 $a JavaScript (Computer program language) $3 626618
650 1 4 $a Professional Computing. $3 3201325
650 2 4 $a Web Development. $3 3134872
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Computer Science, general. $3 892601
650 2 4 $a Statistics, general. $3 896933
700 1 $a Westfall, Jon. $3 3493525
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-7202-2
950 $a Professional and Applied Computing (SpringerNature-12059)