Excel Data Cleaning Guide Covers Filters, Sorting, Validation, and Key Functions

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A tutorial published on DEV Community outlines how Microsoft Excel can be used to clean and analyze raw data for business insights. The guide covers core tools including filtering, which temporarily hides irrelevant rows, and sorting, which physically reorders data based on chosen criteria. It also explains conditional formatting for visually flagging trends or duplicates, and data validation for restricting cell inputs to maintain accuracy. Aggregation functions such as COUNTIF, SUMIFS, and statistical measures like mean and median are highlighted for data analysis. Additional Excel features covered include text functions like CONCAT, TRIM, and PROPER, as well as date and time functions for working with time-based data.

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