cleaning data

What Are Data Cleaning Techniques? Step 1: Remove duplicate or irrelevant observations. Remove unwanted observations from your dataset, including duplicate observations or irrelevant observations. … Step 2: Fix structural errors. … Step 3: Filter unwanted outliers. … Step 4: Handle missing data. … Step 5: Validate and QA. What is data cleaning in data mining?