R 4 Data Science Quick Reference (2nd Ed., 2nd ed.) A Pocket Guide to APIs, Libraries, and Packages
Auteur : Mailund Thomas
- Implement applicable R 4 programming language specification features
- Import data with readr
- Work with categories using forcats, time and dates with lubridate, and strings with stringr
- Format data using tidyr and then transform that data using magrittr and dplyr
- Write functions with R for data science, data mining, and analytics-based applications
- Visualize data with ggplot2 and fit data to models using modelr
Focuses on data science using R version 4 release
Covers the specific APIs and packages that let you build R-based data science applications
Includes how to use these packages to do data, statistical analysis using R
Date de parution : 10-2022
Ouvrage de 232 p.
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 34,80 €
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