Hands-on data science for librarians / (Record no. 39216)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02339cam a22002058i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781032080826 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 025.00285 |
| Item number | LIN-H |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Lin, Sarah, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Hands-on data science for librarians / |
| Statement of responsibility, etc | Sarah Lin, Dorris Scott. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Boca Raton |
| Name of publisher | CRC Press |
| Year of publication | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xlx, 180p. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Data Science Series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Using RStudio's IDE -- Tidying data with dplyr -- Visualizing your project with ggplot2 -- Webscraping with rvest -- Mapping with tmap -- Textual analysis with tidytext -- Creating dynamic documents with rmarkdown -- Creating a flexdashboard -- Creating an interactive dashboard with shiny -- Using tidymodels to understand machine learning. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Librarians understand the need to store, use and analyze data related to their collection, patrons and institution, and there has been consistent interest over the last 10 years to improve data management, analysis, and visualization skills within the profession. However, librarians find it difficult to move from out-of-the-box proprietary software applications to the skills necessary to perform the range of data science actions in code. This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others. While there's a place for theory, ethics, and statistical methods, librarians need a tool to help them acquire enough facility with R to utilize data science skills in their daily work, no matter what type of library they work at (academic, public or special). By walking through each skill and its application to library work before walking the reader through each line of code, this book will support librarians who want to apply data science in their daily work. Hands-On Data Science for Librarians is intended for librarians (and other information professionals) in any library type (public, academic or special) as well as graduate students in library and information science (LIS). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | R (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Libraries |
| General subdivision | Data processing. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Scott, Dorris, |
| Relator term | author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Permanent Location | Current Location | Date acquired | Source of acquisition | Cost, normal purchase price | Bill Date | Full call number | Accession Number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NASSDOC Library | NASSDOC Library | 2024-03-21 | Overseas Press Pvt LTD | 3669.26 | 2024-03-20 | 025.00285 LIN-H | 54318 | 5645.02 | 2024-03-20 | Books |