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Follow-up questions are an important part of Exploratory Data Analysis (EDA) because they help you drill down deeper into data patterns and uncover more insights.
Here are some tips on how to use follow-up questions to guide your EDA:
- Start with general questions: Begin by asking broad questions about the dataset to get a general sense of the patterns and trends. For example, “What are the most common values in the dataset?” or “What are the overall trends in the data?”
- Identify interesting patterns: Once you’ve identified some interesting patterns or trends in the data, use follow-up questions to explore them further. For example, if you notice that product sales are highest in the summer months, you might ask, “Why are sales higher in the summer months?” or “Is there a particular demographic that buys more of this product in the summer?”
- Ask about exceptions: When you see a pattern in the data, it’s also helpful to look for exceptions to the pattern. For example, if you notice that most people in a survey prefer coffee to tea, you might ask, “Are there any groups that prefer tea to coffee?” or “Are there any situations in which people would choose tea over coffee?”
- Use visuals to guide your follow-up questions: Visualizations like charts and graphs can help you identify patterns in the data and guide your follow-up questions. For example, if you see a spike in sales for a particular product in a line graph, you might ask, “What happened during that time period that led to the increase in sales?”
By using follow-up questions to explore the patterns and trends in the data, you can uncover more insights and gain a better understanding of what the data represents. The key is to start with general questions, identify interesting patterns, look for exceptions to the patterns, and use visualizations to guide your exploration.