Intermediate Data Cleaning in Excel
๐Intermediate Data Cleaning in Excel – Smarter Functions Every Analyst Must Know Hello friends ๐ Welcome back to Brundha_Sri Learning Hub ! In the previous blog, we learned the basic cleaning tools like TRIM, PROPER, SUBSTITUTE, etc. But in real-world projects, messy data often goes beyond extra spaces – you’ll see mixed text and numbers, duplicates, wrong formats, and unstructured fields . That’s why today, we’re moving one level deeper ๐ with Intermediate Data Cleaning Functions . These functions don’t just clean – they control, validate, and structure data so that your analysis becomes rock-solid. ๐น 1. VALUE() – Convert Text to Numbers ๐ Meaning : Converts numbers stored as text into real numeric values. ๐ Useful when you import data from web/PDF/CSV, where numbers look correct but Excel treats them as text. Syntax : =VALUE(text) Example : Raw Data → "25" (stored as text, left-aligned) Formula → =VALUE(A2) Result → 25 (number, right-aligned ✅) ๐ก ...