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Hands-On Data Science for Librarians

Sarah Lin | Dorris Scott
€198.40
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A01=Dorris Scott
A01=Sarah Lin
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Author_Dorris Scott
Author_Sarah Lin
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Census Tract
Code Chunk
CSV File
Dashboard
Data Science Program
Data Science Skills
Dplyr Package
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ESRI Shapefile
Fair
geographic information systems
ggplot2
information science research
interactive data visualization
library analytics
Library Discovery Systems
Machine Learning
Markdown Document
Markdown Syntax
Ml Algorithm
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PBC.
quantitative data analysis
R programming for library professionals
rmarkdown
RStudio
RStudio's Ide
Search URL
Sentiment Analysis
Shiny App
Supervise Ml
text mining techniques
Textual Analysis
Textual Dataset
tidymodels
Ward Number
Web Scraping

Product details

  • ISBN 9781032109992
  • Weight: 376g
  • Dimensions: 156 x 234mm
  • Publication Date: 09 May 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

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
About Dorris Scott | Sarah Lin

Sarah Lin is the Senior Information & Content Architect at MongoDB.

Dorris Scott, PhD is the Academic Director of Data Studies at Washington University in St. Louis.

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