### Q1: What is the primary difference between qualitative and quantitative data?  
### Q2: How can understanding the distinction between qualitative and quantitative data enhance your data analysis process?  
### Q3: Can you provide an example of a scenario where misinterpreting qualitative data as quantitative led to incorrect conclusions?  

### Q4: In what situations might you choose to use an array over a table for data organization?  
### Q5: How would you assess the effectiveness of using graphs as a data structure for analyzing product recommendations?  
### Q6: What are the challenges you might face when choosing between different data structures for your analysis, and how would you overcome them?  

### Q7: How can you effectively communicate findings from qualitative data to stakeholders?  
### Q8: What strategies can you employ to ensure that your interpretation of quantitative data is accurate and meaningful?  
### Q9: Reflect on how understanding data types can improve your ability to convey insights; what practical steps would you take to implement this in your analyses?