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.
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