03763cam a2200553 i 4500 9781003218012 FlBoTFG 20251030122230.0 m o d cr ||||||||||| 230131s2023 flua ob 001 0 eng OCoLC-P eng rda OCoLC-P 9781003218012 (ebook) 1003218016 9781000863093 (electronic bk.) 1000863093 (electronic bk.) 9781032109992 (hardback) 9781032080826 (paperback) 9781000863178 (electronic bk. : EPUB) 1000863174 (electronic bk. : EPUB) 10.1201/9781003218012 doi (OCoLC)1374196026 (OCoLC-P)1374196026 QA276.45.R3 BUS 061000 bisacsh MAT 029000 bisacsh PBT bicssc Lin, Sarah, author. 65000 Hands-on data science for librarians / Sarah Lin, Dorris Scott. Boca Raton : CRC Press 2023. 1 online resource : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Chapman & Hall/CRC data science series 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. "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)"-- Provided by publisher. OCLC-licensed vendor bibliographic record. R (Computer program language) 65001 Libraries Data processing. 65002 BUSINESS & ECONOMICS / Statistics bisacsh 64448 MATHEMATICS / Probability & Statistics / General bisacsh 63965 Scott, Dorris, author. 65003 Taylor & Francis https://www.taylorfrancis.com/books/9781003218012 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf E-Books 67450 67450