Questions

1. Why is it important to remove duplicates from your data before building a model in Power BI?
   1. To increase file size
   2. To enhance data accuracy in the analysis
   3. To speed up data loading
   4. To add complexity to the data model
2. In the provided example with the products table, which column is selected for removing duplicates, and why is it crucial to choose the right column?
   1. Product ID, for simplicity
   2. Cost, for accurate financial analysis
   3. Product Name, as the main identifier
   4. Date, for chronological precision
3. How can missing data, represented as null values, impact the analysis of your dataset?
   1. Enhances visual appeal
   2. Distorts analysis results
   3. Speeds up data processing
   4. Reduces data complexity
4. When might you need to split columns in Power BI, and what example is given in the chapter?
   1. To increase data complexity – for example, splitting product codes
   2. To enhance visual appeal – for example, splitting financial data
   3. To gain desired dimensions for analysis – for example...