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Hands-On Data Science for Librarians

Af: Sarah Lin, Dorris Scott Engelsk Paperback

Hands-On Data Science for Librarians

Af: Sarah Lin, Dorris Scott Engelsk Paperback
Tjek vores konkurrenters priser

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).

Key Features:

  • Only data science book available geared toward librarians that includes step-by-step code examples
  • Examples include all library types (public, academic, special)
  • Relevant datasets
  • Accessible to non-technical professionals
  • Focused on job skills and their applications
Tjek vores konkurrenters priser
Normalpris
kr 611
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

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).

Key Features:

  • Only data science book available geared toward librarians that includes step-by-step code examples
  • Examples include all library types (public, academic, special)
  • Relevant datasets
  • Accessible to non-technical professionals
  • Focused on job skills and their applications
Produktdetaljer
Sprog: Engelsk
Sider: 180
ISBN-13: 9781032080826
Indbinding: Paperback
Udgave:
ISBN-10: 1032080825
Kategori: Forskningsmetoder
Udg. Dato: 9 maj 2023
Længde: 15mm
Bredde: 233mm
Højde: 153mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 9 maj 2023
Forfatter(e): Sarah Lin, Dorris Scott
Forfatter(e) Sarah Lin, Dorris Scott


Kategori Forskningsmetoder


ISBN-13 9781032080826


Sprog Engelsk


Indbinding Paperback


Sider 180


Udgave


Længde 15mm


Bredde 233mm


Højde 153mm


Udg. Dato 9 maj 2023


Oplagsdato 9 maj 2023


Forlag Taylor & Francis Ltd

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