Pro data visualization using R and JavaScript (Record no. 3886)

MARC details
000 -LEADER
fixed length control field 01982nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221122133545.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221122b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484285589
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.4226
Item number BAR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Barker, Tom
245 ## - TITLE STATEMENT
Title Pro data visualization using R and JavaScript
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Apress 
Place of publication, distribution, etc. New York
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent xv, 274 p.
365 ## - TRADE PRICE
Price type code INR
Price amount 899.00
520 ## - SUMMARY, ETC.
Summary, etc. About this book<br/>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.<br/><br/>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.<br/><br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element JavaScript (Computer program language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information visualization
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences TB1974 28-10-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 11/22/2022 Technical Bureau India Pvt. Ltd. 629.30   001.4226 BAR 003725 11/22/2022 1 899.00 11/22/2022 Book

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