What node is used to create a bar chart of input and target categorical data?

Choosing the node that creates a bar chart of input and target categorical data involves understanding the specific functions of the nodes in question. The Distribution node is specifically designed for visualizing the distribution of categorical data. It provides a straightforward way to compare the frequency of different categories within both input and target variables, allowing for the analysis of patterns or relationships between them.

When using the Distribution node, users can easily generate bar charts that give insight into how many instances fall into each category, thus highlighting differences or trends across the dataset. This is particularly useful when one wants to assess the performance of a predictive model based on categorical inputs against categorical outcomes.

The other options serve different purposes. The Matrix node is typically used for creating cross-tabulations between categorical variables or evaluating various measures of association. The Select node focuses on selecting specific variables for analysis but does not visualize data directly. The Histogram node is more suited for continuous numerical data to show frequency distributions, rather than categorical data where a bar chart is more applicable. Therefore, the Distribution node is the most appropriate choice for creating a bar chart of input and target categorical data.