Chapter 5 – Importing Data into Power BI

1. C – Data completeness – Ensuring data completeness is essential for accurate analyses and reliable reporting in Power BI. By using data profiling techniques, users can identify columns with high percentages of missing values, such as the ProductSize column in the provided example. This allows for targeted attention to areas requiring data completion.
2. C – Conditional formatting – Conditional formatting in Power BI is a valuable tool for validating data accuracy. Users can define rules to highlight data points falling outside predefined accuracy ranges. This method, as showcased in this chapter, ensures that potential errors or outliers are flagged for further investigation, promoting trustworthy insights.
3. D – Calculated columns and measures – Power BI’s DAX language empowers users to create calculated columns and measures, enforcing consistent data rules and business logic....