What is the purpose of using regular expressions in data analysis | Data Analytics Interview Prep

Regular expressions (regex) are powerful tools in data analysis that allow analysts to search, match, and manipulate strings of text based on specific patterns. They are essential for tasks like data cleaning (e.g., removing unwanted characters, formatting inconsistencies), extracting valuable information (e.g., emails, dates, or phone numbers), and validating inputs. By automating pattern-based operations, regular expressions save time, reduce errors, and enhance the efficiency of processing large datasets, making them invaluable for text parsing and preparation in data analysis.

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