An analyst is comparing programming languages and decides to use a 'scalpel' approach to data by finding packages to do what they want with the data. Which programming language does the analyst use?

Ruby is a dynamic, object-oriented programming language known for its simplicity and productivity, often used in web development. However, it lacks the extensive statistical and data analysis libraries that R provides, making it less suitable for the specific 'scalpel' approach the analyst seeks.

While Python is a versatile language with strong data manipulation capabilities through libraries like Pandas and NumPy, it generally emphasizes broader programming tasks rather than specialized statistical analysis. R, with its focused packages for data analysis, remains the more appropriate choice for the analyst's needs.

Swift is primarily used for iOS and macOS application development and is not typically associated with data analysis or statistical computing. It lacks the specialized packages and community support for data-focused tasks that R offers, thus making it an unsuitable option for the analyst's requirements.