<ul><li>Outliers can have a significant impact on data analysis, affecting accuracy and risk identification.</li><li>Various methods, such as visualization techniques, statistical methods, and machine learning models, can be used to detect outliers.</li><li>Outliers have several use cases, including fraud detection, healthcare analytics, customer insights, manufacturing, and climate analysis.</li><li>Dealing with outliers involves determining their value, applying transformations, or removing them based on their relevance to the analysis goal.</li></ul>

Understanding Outliers: A Key to Robust Data Analysis

Discover more