Tabular Data
Tabular data is a structured data format organized into rows and columns, where each row represents a record or observation, and each column represents a variable or attribute. It is fundamental in data analysis, databases, and spreadsheets, enabling efficient storage, querying, and manipulation of information. Common examples include CSV files, Excel spreadsheets, and relational database tables.
Developers should learn about tabular data because it underpins many data-driven applications, such as business intelligence, machine learning, and web development with databases. It is essential for working with tools like SQL databases, pandas in Python, or data visualization libraries, as it provides a standardized way to handle structured information efficiently.