What visualization is used to create a cross table view of data?

The correct choice for creating a cross table view of data is the pivot table. A pivot table allows users to organize and summarize data in a two-dimensional format, where one dimension can be used for rows and another for columns. This structure enables users to compare values across different categories easily and gain insights into relationships between them.

In a pivot table, users can dynamically rearrange data to display various perspectives, aggregating values depending on the chosen dimensions. This visualization is particularly useful for handling large datasets, making it easier to spot trends, summarize statistics, and analyze complex data relationships.

Other types of visualizations like scatter plots, bar charts, and line charts serve different purposes. A scatter plot is utilized to display the relationship between two continuous variables, while bar charts are ideal for comparing categorical data. Line charts are primarily used to represent data trends over time. Each of these visualizations has its specific use case and does not provide the cross table organization that a pivot table does.