Narendra Singh R.

Excel data cleaning and analysis involves organizing, correcting, and transforming raw data into a usable format for analysis. Key tasks include removing duplicates, handling missing values, correcting errors, and standardizing data formats. Excel tools like filters, conditional formatting, and functions (e.g., IF, VLOOKUP, TEXT) are commonly used for cleaning. Once the data is cleaned, analysis can be performed using pivot tables, charts, and various functions to identify trends, patterns, and insights. Effective data cleaning ensures accurate, reliable analysis, enabling better decision-making and actionable outcomes from the dataset.