What methods can you use to handle outliers in data cleaning?
Data cleaning is an essential step in any data analysis process, as it ensures the quality and validity of your data. However, data cleaning can also be challenging, especially when you encounter outliers, which are values that are significantly different from the rest of the data. Outliers can affect your statistical results, your data visualization, and your decision-making. How can you handle outliers in data cleaning? Here are some methods you can use.