Data Science
Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference.
The text emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Al...
Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference.
The text emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Al...
