What type of analysis can you perform directly on a dataset using the Distribution node?

The Distribution node is specifically designed to provide insights into the characteristics and distribution of a dataset. By using this node, you can examine various statistical measures, such as the mean, median, mode, range, variance, and standard deviation of the variables present in the dataset. This capability allows analysts to summarize and describe the main features of the data, which is a key aspect of descriptive analysis.

Descriptive analysis focuses on providing a clear and concise understanding of the data without making predictions or inferring relationships. It involves summarizing the dataset to reveal patterns or distributions that are inherently present in the data. The Distribution node supports this by visualizing how data points spread across different values and identifying any notable trends or anomalies.

This makes descriptive analysis the correct answer since the main functionality of the Distribution node is centered around elucidating the data's distribution, rather than performing regression, statistical inference, or predictive modeling.