Data analytics using R (Record no. 408)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01825nam a2200193 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20190911164805.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190911b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789352605248 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | ACH |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Acharya, Seema |
| 245 ## - TITLE STATEMENT | |
| Title | Data analytics using R |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New Dellhi |
| Name of publisher, distributor, etc. | McGraw Hill Education (India) Pvt. Ltd. |
| Date of publication, distribution, etc. | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | ix, 555 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 630.00 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | his 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/><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/><br/> <br/><br/> <br/><br/> <br/><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/><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/><br/>• Pedagogy<br/><br/>o 300+chapter-end and check your progress questions for self-assessment<br/><br/>o 200Multiple-choice questions<br/><br/>o 10+hands-on practical exercises<br/><br/>o Exhaustiveillustrations<br/><br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data analytics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | R Programming |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Accession Number | Date last seen | Date checked out | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 08/03/2019 | Gratis Book | 5 | 005.133 ACH | 000663 | 12/19/2022 | 09/06/2022 | 1 | 630.00 | 09/11/2019 | Book |