Correlation Analysis
Correlation analysis is a statistical method used to evaluate the strength and direction of the relationship between two or more variables. In data science, correlation analysis is used to identify patterns and relationships between variables in a dataset. Correlation analysis can be used to determine whether two variables are positively or negatively related, or whether there is no relationship between them. Correlation analysis can also be used to identify outliers and influential data points that may affect the overall relationship between variables. Correlation analysis is often used in predictive modeling and machine learning to identify the most important variables that contribute to a particular outcome or prediction.
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