Hands-on Data Science for Librarians by Sarah Lin and Dorris Scott
Material type:
- 9781032080826
- 005.74 LIN/HAN
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
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Dept. of Library and Information Science | Dept. of Library and Information Science | 005.74 LIN/HAN (Browse shelf(Opens below)) | Available | DLS5982 |
Includes Bibliography and Index
Introduction-data Science-Using R Studio'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
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