In this document, I explore the use of environments as hashmaps in R, providing an efficient approach to key-value storage and retrieval. Through a series of examples, I demonstrate how to create and manipulate hashmaps using the new.env() function, showcasing insertion, key lookup, and removal of elements. The flexibility of environments to store various data types, including nested environments, is highlighted. Additionally, I address the limitations of vectorization and present solutions for managing large sets of key-value pairs. A colorful table summarizes key-value examples, illustrating the practical application of hashmaps in R.

BDA assigment

-- Predicting the Quality of a Wine based on its Alcohol Percentage-- Two different judges were asked to rate a variety of different, unknown wines. Statistical analysis was conducted.

ADV 200