R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Estimated shipping
Select a product to estimate shipping.Learn the core principles of data science with *R for Data Science*, a practical guide to using the R programming language for data analysis. This book provides a hands-on introduction to the tools and techniques you need to explore, clean, and model data.
Key Highlights
- Gain a solid understanding of R programming fundamentals, essential for data manipulation.
- Master data cleaning and transformation techniques to prepare data for analysis.
- Learn to create compelling visualizations to communicate your findings effectively.
- Explore statistical modeling approaches using R for data insights.
Useful Facts
- Publisher: O’Reilly Media
- Publication Date: January 31, 2017
- Edition: 1st
- Language: English
- Pages: 518
- ISBN-10: 1491910399
- ISBN-13: 978-1491910399
- Dimensions: 5.9 x 1.2 x 8.8 inches
Good Fit For
- Individuals new to data science and R programming.
- Students and professionals in fields like statistics, computer science, and data analysis.
- Anyone seeking to learn how to analyze and visualize data using R.
Especificaciones
| Main Specification | |
|---|---|
| Marca | by Hadley Wickham (Author), Garrett Grolemund (Author) Format: Paperback |
| Fecha de publicación | 2017, 31 de enero |
| Peso del artículo | 1.76 libras |
| Product information | |
|---|---|
| Idioma | Inglés |
| Otros | |
|---|---|
| Tipo de producto | Probability & Statistics |
| Edición | 1a |
| Editorial | O'Reilly Media |
| Longitud de impresión | 518 pages |
| ISBN-10 | 1491910399 |
| ISBN-13 | 978-1491910399 |
| Dimensiones | 5.9 x 1.2 x 8.8 inches |
| ISBN10 | 1491910399 |
| ISBN13 | 978-1491910399 |
| Etiquetas | |
|---|---|
| Etiquetas | |