An embedding in machine learning refers to the process of representing data, such as words, sentences, or objects, as vectors or numerical representations in a continuous vector space. This vector representation is known as an embedding. For this example, all the clinical and laboratory variables describing a patient stay were embedded to the 2D space to facilitate visualisation. Thus, each marker represents a patient. When selecting a file manually, ensure that it contains the columns x and y. Select a column to visualise the features color coded.