Questions

1. What is the primary purpose of EDA?
   1. To finalize the dataset
   2. To summarize data characteristics and gain insights
   3. To create predictive models
   4. To validate machine learning algorithms
2. What are the benefits of conducting well-carried-out EDA when connecting to data?
   1. Identifying potential outliers
   2. Ignoring data quality issues
   3. Skipping data visualization
   4. Avoiding modeling choices
3. Which of the following is NOT a fundamental data profiling capability offered by Power BI?
   1. Column Quality Assessment
   2. Column Distribution Analysis
   3. Column Transformation
   4. Column Profile Views
4. How can you access the data profile views in Power BI?
   1. From the Home tab
   2. Within Power Query, open the View tab
   3. Using the Visualization pane
   4. Through Power BI Dashboard settings
5. What does the Column distribution view in Power BI provide?
   1. Assessment of data quality
   2. Histograms and statistics
   3. Data completeness percentage
   4. Visualization of column names
6. What does the Column quality view in Power BI assess, and how is it...