Exploring data science with R and the tidyverse: (Record no. 39215)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01682cam a2200205 i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781032341705 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.54 |
| Item number | BON-E |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Bonnell, Jerry, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Exploring data science with R and the tidyverse: |
| Sub Title | A concise introduction/ |
| Statement of responsibility, etc | Jerry Bonnell and Mitsunori Ogihara. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | CRC Prsss: |
| Name of publisher | London; |
| Year of publication | 2024, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xv, 475 pages : |
| Other physical details | illustrations (some color) ; |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Data types -- Data transformation -- Data visualization -- Building simulations -- Sampling -- Hypothesis testing -- Quantifying uncertainty -- Towards normality -- Regression -- Text analysis. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows without needing to reference extensive amounts of external resources for onboarding. The contents are targeted for undergraduate students but are equally applicable to students at the graduate level and beyond. The book develops concepts using many real-world examples to motivate the reader. An accompanying R package "edsdata" contains synthetic and real datasets used by the textbook and is meant to be used for further practice. An exercise set is made available and designed for compatibility with automated grading tools for instructor use"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | R (Computer program language) |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ogihara, Mitsunori, |
| Relator term | author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NASSDOC Library | NASSDOC Library | 20/05/2024 | 7 | 5192.64 | 005.54 BON-E | 54317 | 7988.68 | 20/05/2024 | Books |