Which interface allows you to display the column distribution and column quality graphs for a dataset?

The Power Query Editor interface is specifically designed for data transformation and cleaning tasks, making it the correct choice for displaying the column distribution and column quality graphs for a dataset.

In Power Query, users can visualize various aspects of their data, including statistics about each column such as data types, distribution of values, and quality metrics. This visual feedback is crucial for data analysts to assess the health of the data before it is loaded into the data model. The column distribution graph provides insights into how values in a column are spread, while the column quality graph shows the proportion of valid, invalid, and empty values, helping users make informed decisions about necessary transformations.

Other options, while related to data management in Power BI, do not offer these specific visual analysis tools. The Advanced Editor in Power Query Editor, for example, is focused on allowing users to write and edit M code for advanced transformations rather than visualizing column data quality. Data view is used for interacting with your dataset once loaded into the model, where users can create tables, charts, and other visualizations. Model view is for managing relationships between tables and designing the data model. Neither of these views provides the detailed data quality visualizations that the Power Query Editor does.