What are the examples of four dimensioned and multi dimensioned and high dimensioned data?

Answer 1

Four-dimensional data often includes time as the fourth dimension, such as in weather modeling, where three spatial dimensions (latitude, longitude, altitude) are combined with time. Multi-dimensional data extends beyond four dimensions, commonly seen in complex datasets like customer behavior analysis, where variables like age, income, purchase history, and geographical location are analyzed simultaneously. High-dimensional data is prevalent in fields like genomics, where each gene represents a dimension, resulting in datasets with thousands of dimensions that can complicate analyses and require specialized techniques for interpretation.