Tabular Data

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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