| Title | : | Computer Programming with R: Comprehensive Introduction Data Analysis and Visualization with R Programming Language |
|---|---|---|
| Author | : | Brian Murray |
| Release | : | 2024-11-18 |
| Kind | : | audiobook |
| Genre | : | Nonfiction |
| Preview Intro | |||
|---|---|---|---|
| 1 | Computer Programming with R: Comprehensi | Brian Murray |
| "Computer Programming with R: Comprehensive Introduction to Data Analysis and Visualization with R Programming Language" is a comprehensive guide to learning the R programming language for data analysis and visualization. R is a popular open-source programming language used in data science, statistical analysis, and machine learning. This book provides a detailed overview of the R programming language, including its syntax, data structures, and functions. It covers various topics such as data types, data wrangling, data visualization, statistical analysis, and machine learning, with a focus on practical applications. The book also includes a step-by-step guide to using popular R packages, such as ggplot2, dplyr, and tidyr, to create visualizations and manipulate data. Additionally, it covers advanced topics such as text mining, web scraping, and time series analysis. Furthermore, the book includes numerous real-world examples and case studies that demonstrate how R can be used to solve complex data problems. It also provides tips and best practices for efficient coding and reproducibility. Whether you are a beginner or an experienced programmer, "Computer Programming with R" is an essential guide for mastering the art of data analysis and visualization with the R programming language. With this book, you will gain the skills and knowledge necessary to analyze and visualize data, and create sophisticated data-driven solutions to real-world problems. "Computer Programming with R: Comprehensive Introduction to Data Analysis and Visualization with R Programming Language" is a must-have resource for anyone interested in using R for data analysis and visualization, whether for academic research or industry applications. |
