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Data cleaning is essential for data integrity and reliable solutions. Spreadsheets offer tools to clean up dirty data, with techniques varying depending on the dataset. Common tools include removing unwanted data, cleaning up text and formatting inconsistencies, and fixing typos. Before making changes, it's good practice to create a copy of the dataset. This overview provides a starting point for analysts to tackle common data cleaning issues.
