| 000 | 03763cam a2200553 i 4500 | ||
|---|---|---|---|
| 001 | 9781003218012 | ||
| 003 | FlBoTFG | ||
| 005 | 20251030122230.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 230131s2023 flua ob 001 0 eng | ||
| 040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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| 020 |
_a9781003218012 _q(ebook) |
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| 020 | _a1003218016 | ||
| 020 |
_a9781000863093 _q(electronic bk.) |
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| 020 |
_a1000863093 _q(electronic bk.) |
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| 020 |
_z9781032109992 _q(hardback) |
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| 020 |
_z9781032080826 _q(paperback) |
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| 020 |
_a9781000863178 _q(electronic bk. : EPUB) |
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| 020 |
_a1000863174 _q(electronic bk. : EPUB) |
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| 024 | 7 |
_a10.1201/9781003218012 _2doi |
|
| 035 | _a(OCoLC)1374196026 | ||
| 035 | _a(OCoLC-P)1374196026 | ||
| 050 | 0 | 0 | _aQA276.45.R3 |
| 072 | 7 |
_aBUS _x061000 _2bisacsh |
|
| 072 | 7 |
_aMAT _x029000 _2bisacsh |
|
| 072 | 7 |
_aPBT _2bicssc |
|
| 100 | 1 |
_aLin, Sarah, _eauthor. _965000 |
|
| 245 | 1 | 0 |
_aHands-on data science for librarians / _cSarah Lin, Dorris Scott. |
| 264 | 1 |
_aBoca Raton : _bCRC Press _c2023. |
|
| 300 |
_a1 online resource : _billustrations. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 0 | _aChapman & Hall/CRC data science series | |
| 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 |
_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)"-- _cProvided by publisher. |
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| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aR (Computer program language) _965001 |
|
| 650 | 0 |
_aLibraries _xData processing. _965002 |
|
| 650 | 7 |
_aBUSINESS & ECONOMICS / Statistics _2bisacsh _964448 |
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| 650 | 7 |
_aMATHEMATICS / Probability & Statistics / General _2bisacsh _963965 |
|
| 700 | 1 |
_aScott, Dorris, _eauthor. _965003 |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003218012 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 942 | _cE-Books | ||
| 999 |
_c67450 _d67450 |
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