Despite its importance, exploratory analysis comes with its set of challenges:
Data Quality Issues: Incomplete or inaccurate data can lead to misleading conclusions. Overfitting: There is a risk of identifying patterns that are specific to the sample rather than generalizable to the population. Subjectivity: The exploratory nature of this analysis means it can be influenced by the researcherâs biases. Complexity: Large datasets with many variables can make it difficult to identify meaningful patterns without advanced analytical tools.
