Tabular Data
Tabular Data is information organized into rows and columns, where each row represents an observation or record and each column represents a specific feature or attribute.
What is Tabular Data?
Tabular data follows a structured format similar to a spreadsheet or database table. It can contain numerical, categorical, text, or other structured values. Each row typically represents an individual record, while columns describe properties or variables associated with those records.
Why is Tabular Data Important?
Tabular data is widely used to train machine learning models because its structured format makes it easier to store, analyze, transform, and process. Many traditional machine learning algorithms are specifically designed to identify patterns and relationships within tabular datasets.
Common use cases
Tabular Data is commonly used in financial analysis, customer analytics, fraud detection, healthcare records, sales forecasting, risk assessment, and business intelligence.