Pro data visualization using R and JavaScript : analyze and visualize key data on the web

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 implementa...

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Bibliographic Details
Main Authors: Barker, Tom, 1977- (Author), Westfall, Jon, (Author)
Format: eBook
Language: English
Published: [Berkeley] : Apress, [2022]
Edition: Second edition.
Subjects:
ISBN: 9781484272022
1484272021
9781484272015
1484272013
Physical Description: 1 online resource : illustrations

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Table of contents

LEADER 03937cam a2200445 i 4500
001 kn-on1274058959
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 211010s2022 caua o 001 0 eng d
040 |a YDX  |b eng  |e rda  |e pn  |c YDX  |d GW5XE  |d OCLCF  |d DCT  |d OCLCO  |d OCLCQ  |d OCLCO  |d FAU  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9781484272022  |q (electronic bk.) 
020 |a 1484272021  |q (electronic bk.) 
020 |z 9781484272015 
020 |z 1484272013 
024 7 |a 10.1007/978-1-4842-7202-2  |2 doi 
035 |a (OCoLC)1274058959  |z (OCoLC)1274125780  |z (OCoLC)1274198511  |z (OCoLC)1287773815 
100 1 |a Barker, Tom,  |d 1977-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjDyW6pqgWqHfjKCkpF6PP 
245 1 0 |a Pro data visualization using R and JavaScript :  |b analyze and visualize key data on the web /  |c Tom Barker, Jon Westfall. 
250 |a Second edition. 
264 1 |a [Berkeley] :  |b Apress,  |c [2022] 
264 4 |c ©2022 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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. 
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. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Information visualization. 
650 0 |a R (Computer program language) 
650 0 |a JavaScript (Computer program language) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Westfall, Jon,  |e author. 
776 0 8 |i Print version:  |a Barker, Tom, 1977-  |t Pro data visualization using R and JavaScript.  |b Second edition.  |d [Berkeley] : Apress, [2022]  |z 1484272013  |z 9781484272015  |w (OCoLC)1255463209 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpPDVURJSA/pro-data-visualization?kpromoter=marc  |y Full text