How to Handle Missing Data in Your Dataset
Every data professional eventually faces the same challenge: missing values. Whether you’re cleaning survey responses, analyzing customer trends, or building predictive models, handling missing data effectively determines whether your insights are trustworthy or misleading. Think of it as learning to fill gaps in a puzzle—you can still see the picture, but the way you deal…