Data Analytics Using R / (Record no. 23050)
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000 -LEADER | |
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fixed length control field | 01829 a2200193 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | VITAP |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200304160040.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 181204b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789352605248 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | VITAP |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Edition number | 23rd |
Classification number | 519.502855133 ACH |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Acharya, Seema |
9 (RLIN) | 8951 |
245 ## - TITLE STATEMENT | |
Title | Data Analytics Using R / |
Statement of responsibility, etc. | Seema Acharya |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Name of publisher, distributor, etc. | McGraw Hill Education (India) Private Ltd. |
Place of publication, distribution, etc. | Chennai |
Date of publication, distribution, etc. | 2018 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxii, 555p. |
500 ## - GENERAL NOTE | |
General note | It includes index<br/>This book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives, and management graduates and business analysts, engaged inself-study.<br/>This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’.<br/>Exhaustivecoverage includes installation of R and its package, getting accustomed to Rinterface and R commands, working with data from disparate data sources (.csv,JSON, XML, RDBMS etc.), getting conversant with classification, clustering,association rule mining, regression, text mining etc.<br/>12 Casestudies namely Insurance Fraud Detection, Customer Insights Analysis, SalesForecasting, Credit Card Spending by Customer Groups and Helping RetailersPredict In-store Customer Traffic<br/>Pedagogy<br/>300+chapter-end and check your progress questions for self-assessment<br/>200Multiple-choice questions<br/>10+hands-on practical exercises<br/>Exhaustiveillustrations<br/><br/> <br/> |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://www.mheducation.co.in/data-analytics-using-r-9789352605248-india#tab-label-product-description-title">https://www.mheducation.co.in/data-analytics-using-r-9789352605248-india#tab-label-product-description-title</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Reference Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Materials specified (bound volume or other part) | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type | Public note |
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Dewey Decimal Classification | Paper Back | School of Advanced Studies-Maths Section | VIT-AP | General Stacks | 2018-12-04 | 2 | 585.00 | 519.502855133 ACH | 012283 | 2018-12-04 | 585.00 | 2018-12-04 | Reference Book | MATH |