In data analysis, understanding the difference between correlation and causation is essential for drawing accurate conclusions. Many beginners assume that if two variables move together, one must be responsible for the other. This assumption often leads to incorrect insights and poor decision-making. Correlation simply indicates a relationship between variables, while causation confirms that...
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