1st Edition

Hands-On Data Science for Librarians

By Sarah Lin, Dorris Scott Copyright 2023
200 Pages 35 Color & 33 B/W Illustrations
by Chapman & Hall

200 Pages 35 Color & 33 B/W Illustrations
by Chapman & Hall

200 Pages 35 Color & 33 B/W Illustrations
by Chapman & Hall

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... Read more

1. Introduction  2. Using RStudio’s IDE  3. Tidying data with dplyr  4. Visualizing your project with ggplot2  5. Webscraping with rvest  6. Mapping with tmap  7. Textual Analysis with tidytext  8. Creating Dynamic Documents with rmarkdown  9. Creating a flexdashboard  10. Creating an interactive dashboard with shiny  11. Using tidymodels to Understand Machine Learning  12. Conclusion  Appendix A. Dependencies  Appendix B. Additional Skills

Biography

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.

"Overall, the appearance will offer librarians fresh and thrilling perspectives within their field, leading to novel avenues of exploration and deepening one’s grasp of library sciences. Additionally, it will shed light on how data science can infuse libraries with added significance and allure."

Firdous Ahmad MalaCluster University Srinagar, India, Technometrics, May 2024.