A. CSV (Comma-Separated Values)
CSV files are plain text files that store tabular data, with each line representing a row and commas separating the values within each row. CSV files are widely supported by statistical software and are easy to import into programs like R, Python (with libraries like pandas), and many others. They are lightweight, simple to create, and can handle large datasets efficiently, making them ideal for exploratory data analysis (EDA).
While other file formats like XLSM (Excel Macro-Enabled Workbook), XML (eXtensible Markup Language), and JSON (JavaScript Object Notation) have their uses, CSV is typically preferred for initial exploratory analysis due to its simplicity, ease of use, and compatibility with statistical software.
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