Data analytics using R (Record no. 66252)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01643nam a2200145 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789352605248 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004 |
| Item number | SEE/D |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Seema Acharya |
| 245 ## - TITLE STATEMENT | |
| Title | Data analytics using R |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Chennai |
| Name of publisher | McGraw Hill |
| Year of publication | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 555 p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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/><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 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data analytics |
| -- | Computer science |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | BK |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | |
| Damaged status | Collection code | Home library | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Koha item type | Shelving location |
|---|---|---|---|---|---|---|---|---|
| Stack | Kannur University Central Library | 10/03/2023 | 850.00 | 004 SEE/D | 58859 | BK | ||
| Stack | Kannur University Central Library | 17/04/2023 | 850.00 | 004 SEE/D | 59402 | BK | Stack |