Can outliers signal data quality issues?

Can outliers signal data quality issues?

Yes, outliers can indicate potential data quality issues, such as errors in data entry or measurement.

How can I identify if an outlier is a data quality issue?

You can analyze the context of the outlier, check for data entry errors, and compare it with domain knowledge.

What tools can I use to detect outliers in my dataset?

Common tools include statistical software like R or Python libraries such as Pandas and Scikit-learn.

Are there any methods to handle outliers once identified?

Yes, you can remove them, transform the data, or use robust statistical methods that minimize their impact.