000 02627cam a2200349 i 4500
001 53029
003 AE-DuAU
005 20241025172310.0
008 230131s2023 fluab b 001 0 eng
010 _a 2022049050
020 _a9781032080826 (paperback)
035 _a(AE-DuAU)1370603342
040 _aDLC
_beng
_erda
_cDLC
_dBDX
_dUKMGB
_dOCLCF
_dYDX
_dOCLCO
_dIBI
_dAE-DuAU
050 0 0 _aQA276.45.R3 L56 2023
090 _aQA276.45.R3 L56 2023
100 1 _aLin, Sarah,
_eauthor
_9207119
245 1 0 _aHands-on data science for librarians /
_cSarah Lin, Dorris Scott.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press
_c2023.
300 _axix, 180 pages :
_billustrations (black and white), maps ;
_c24 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
490 1 _aChapman & Hall/CRC data science series
504 _aIncludes bibliographical references and index.
520 _a"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 _aR (Computer program language)
_9116771
650 0 _aLibraries
_xData processing.
_9207120
700 1 _aScott, Dorris,
_eauthor
_9207121
830 0 _aChapman & Hall/CRC data science series.
_9207122
942 _2lcc
_cBOOK
999 _c53029
_d53029