Modern data science with R (Record no. 1432144)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01892nam a2200277 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250623160510.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250623b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781032941677 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CSL |
| Transcribing agency | CSL |
| 041 ## - LANGUAGE CODE | |
| Source of code | eng |
| Language code of text/sound track or separate title | eng |
| 084 ## - COLON CLASSIFICATION NUMBER | |
| Classification number | B28,92R Q7;R5 |
| Assigning agency | CSL |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Baumer, Benjamin S |
| Relator term | author |
| 245 ## - TITLE STATEMENT | |
| Title | Modern data science with R |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Boca Raton : |
| Name of publisher, distributor, etc. | CRC press, |
| Date of publication, distribution, etc. | 2025. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvii, 631 p. |
| Other physical details | : ill. |
| Dimensions | : 25 cm. |
| 500 ## - GENERAL NOTE | |
| General note | Includes Appendices, Bibliography and indices |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions. Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data |
| 9 (RLIN) | 813647 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Information visualization. |
| 9 (RLIN) | 813648 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Reproducible research. |
| 9 (RLIN) | 813649 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining. |
| 9 (RLIN) | 813650 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kaplan, Daniel T. |
| Relator term | co-author. |
| 9 (RLIN) | 813651 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Horton, Nicholas J. |
| Relator term | co-author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Colon Classification (CC) |
| Suppress in OPAC | No |
| Koha item type | Textual |
| Edition | 2nd ed. |
| Classification part | B28,92 Q7;R5 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Colon Classification (CC) | Central Science Library | Central Science Library | 2024-10-23 | Classic Book Service | B28, 92R Q7;R5 | SL1655954 | 2025-12-11 | 2025-06-23 | Textual |