000			02339cam a22002058i 4500
999			_c39216 _d39216
020			_a9781032080826
082	0	0	_a025.00285 _bLIN-H
100	1		_aLin, Sarah, _eauthor.
245	1	0	_aHands-on data science for librarians / _cSarah Lin, Dorris Scott.
260			_aBoca Raton _bCRC Press _c2023
300			_axlx, 180p.
440			_aData Science Series
504			_aIncludes bibliographical references and index.
505	0		_aUsing 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			_aLibrarians 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	_aR (Computer program language)
650		0	_aLibraries _xData processing.
700	1		_aScott, Dorris, _eauthor.
942			_2ddc _cBK