A common task involves viewing comma-separated values data within a spreadsheet application. This often entails importing or directly accessing a file containing the data using software designed for data manipulation and analysis. The data, typically organized in rows and columns, is structured in plain text, with commas delineating fields. An example would be a file containing customer names, addresses, and purchase histories.
The ability to view data stored in this format within a spreadsheet environment offers significant advantages. It enables users to perform calculations, create visualizations, and apply various data analysis techniques. Historically, this functionality has been crucial for businesses and researchers needing to analyze and interpret large datasets efficiently. The practice facilitates data cleansing, transformation, and sharing among individuals who may not be proficient in specialized data processing tools.