001442404 000__ 04129cam\a2200601\i\4500 001442404 001__ 1442404 001442404 003__ OCoLC 001442404 005__ 20230310003417.0 001442404 006__ m\\\\\o\\d\\\\\\\\ 001442404 007__ cr\un\nnnunnun 001442404 008__ 211010s2022\\\\caua\\\\o\\\\\001\0\eng\d 001442404 019__ $$a1274125780$$a1274198511$$a1287773815 001442404 020__ $$a9781484272022$$q(electronic bk.) 001442404 020__ $$a1484272021$$q(electronic bk.) 001442404 020__ $$z9781484272015 001442404 020__ $$z1484272013 001442404 0247_ $$a10.1007/978-1-4842-7202-2$$2doi 001442404 035__ $$aSP(OCoLC)1274058959 001442404 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dOCLCF$$dDCT$$dOCLCO$$dOCLCQ$$dOCLCO$$dFAU$$dOCLCQ 001442404 049__ $$aISEA 001442404 050_4 $$aQA76.9.I52$$bB37 2022 001442404 08204 $$a001.4/226$$223 001442404 1001_ $$aBarker, Tom,$$d1977-$$eauthor. 001442404 24510 $$aPro data visualization using R and JavaScript :$$banalyze and visualize key data on the web /$$cTom Barker, Jon Westfall. 001442404 250__ $$aSecond edition. 001442404 264_1 $$a[Berkeley] :$$bApress,$$c[2022] 001442404 264_4 $$c©2022 001442404 300__ $$a1 online resource :$$billustrations 001442404 336__ $$atext$$btxt$$2rdacontent 001442404 337__ $$acomputer$$bc$$2rdamedia 001442404 338__ $$aonline resource$$bcr$$2rdacarrier 001442404 347__ $$atext file 001442404 347__ $$bPDF 001442404 500__ $$aIncludes index. 001442404 5050_ $$a1. 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. 001442404 506__ $$aAccess limited to authorized users. 001442404 520__ $$aUse 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. 001442404 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 14, 2021). 001442404 650_0 $$aInformation visualization. 001442404 650_0 $$aR (Computer program language) 001442404 650_0 $$aJavaScript (Computer program language) 001442404 650_6 $$aVisualisation de l'information. 001442404 650_6 $$aR (Langage de programmation) 001442404 650_6 $$aJavaScript (Langage de programmation) 001442404 655_0 $$aElectronic books. 001442404 7001_ $$aWestfall, Jon,$$eauthor. 001442404 77608 $$iPrint version:$$aBarker, Tom, 1977-$$tPro data visualization using R and JavaScript.$$bSecond edition.$$d[Berkeley] : Apress, [2022]$$z1484272013$$z9781484272015$$w(OCoLC)1255463209 001442404 852__ $$bebk 001442404 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-7202-2$$zOnline Access$$91397441.1 001442404 909CO $$ooai:library.usi.edu:1442404$$pGLOBAL_SET 001442404 980__ $$aBIB 001442404 980__ $$aEBOOK 001442404 982__ $$aEbook 001442404 983__ $$aOnline 001442404 994__ $$a92$$bISE