Tabular data refers to information organized into rows and columns, like a spreadsheet. Each row represents a single observation or record and each column represents a specific attribute or feature. Tabular data is commonly used to store and analyze:

• Numerical data: financial data, statistics, etc.
• Categorical data: product categories, customer segments.
• Date/Time data.
• Text data: product descriptions, customer reviews.
• Geospatial data: geolocations, maps.
• Binary data: images, videos.
• Mixed data: different data types, such as a mixture of numerical and categorical data.

Once structured and organized, data can easily be processed by computer algorithms and be used as input to train machine learning models.