5.4 Cleaning and Validating Data
After collecting data, the next important step is to clean and validate it. Raw data is often messy. It may contain errors, missing values, or even wrong entries. If we use this data without checking it, our analysis will give wrong results. This step ensures that the data we analyze later is trustworthy.