Tabular Data

Tabular data refers to data organized in a table format with rows and columns. Each row represents an instance or an observation, and each column represents a feature or an attribute of the cases. Tabular data is commonly used as input for machine learning algorithms. It is easy to process and analyze using traditional data management techniques, and machine learning algorithms are often optimized for this data type. Tabular data is synonymous with structured data.

Not all relevant information can be captured in tabular data. Incorporating other data types, such as text, images, and audio, can provide additional valuable insights and opportunities for machine learning models and AI.