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  • Format: PDF

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.

  • Geräte: PC
  • ohne Kopierschutz
  • eBook Hilfe
  • Größe: 12.41MB
Produktbeschreibung
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.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
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.

Rezensionen
"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 Mala, Cluster University Srinagar, India, Technometrics, May 2024.