Make Data Talk
#16 Explanatory vs exploratory analysis
Apr 23, 2024
Dr. Selena Fisk, an expert in data analysis and statistics, discusses the differences between explanatory and exploratory analysis. She emphasizes the importance of using both techniques in data interpretation for effective organizational analysis.
11:31
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Quick takeaways
- Exploratory analysis allows for broad investigation to uncover unexpected insights.
- Explanatory analysis focuses on testing hypotheses and explaining specific phenomena with relevant data.
Deep dives
Difference Between Exploratory and Explanatory Analysis
In the episode, Dr. Selina Fisk discusses the importance of understanding the difference between exploratory and explanatory analysis when examining data. An exploratory analysis involves exploring phenomena without a preconceived hypothesis, allowing for a broad investigation to uncover unexpected insights. On the other hand, explanatory analysis focuses on testing hypotheses and explaining specific phenomena by analyzing relevant datasets. Dr. Fisk highlights that both types of analyses have their place in data interpretation, with exploratory analysis offering the potential for uncovering unforeseen patterns or issues.
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