 |
 |
|
The Tree Visualizer helps you analyze data that has hierarchical relationships. It provides an interactive "fly-through" capability for examining the relations between data at different hierarchical levels. For example, the Tree Visualizer can be used to examine a company's product line, graphically displaying each pro duct's contribution to the company's total revenue. Each branch of the hierarchy displays information at increasing levels of detail, breaking revenues down by product lines and, eventually, individual products. Another example of using the Tree Visualizer is to show company sales revenue, displaying a company-wide tot al as well as sub-totals at regional and other levels. The fly-through capabilit y in the Tree Visualizer lets you rapidly reposition your view of the data. The Tree Visualizer's filtering and searching capabilities let you focus on specific data elements and queries.
The Tree Visualizer is also used to view the results of the Decision Tree Classi fier, with each decision being represented by a separate node in the tree. Each node also shows bars showing how the classifier classifies the data based on the decisions up to that point (for example, 73% of people who own a home and have two children are good credit risks, while 27% are not).
The Map Visualizer lets you visualize data relationships that exist across geogr aphically meaningful areas. For example, you can visualize different areas of a country, showing the relative impact of a marketing program. The Map Visualizer' s drill-down capabilities let you focus on designated regions and perform a more detailed analysis in smaller geographical elements. One application might be an alyzing how one or more products are being sold across different geographies. A powerful animation feature, coupled with a capability to connect different views of the same or related data, permits fast comparisons and difference analyses. This tool lets you visually examine patterns in your data that are difficult to detect when that data is shown in a tabular, two-dimensional form.
The Scatter Visualizer lets you examine the behavior of data across different di mensions. The data is shown in a grid representing up to three dimensions. Extra dimensions can map to the size, color, and label of each displayed entity. Two further independent dimensions can be assigned as dynamic dimensions. A slider c an be use to select specific values along those dimensions, or a path can be tra ced through those dimensions, for animation. During the path traversal, the disp lay changes automatically to reflect the change in the independent variable.
The Splat Visualizer produces 3D plots of very large data sets. Instead of showi ng individual data points, it renders the density of data using varying opacity. It has many of the same features as the Scatter Visualizer.
The Rules Visualizer visually represents the results of the Association Rules Ge nerator mining tool. It provides detailed data analysis that lets you examine re lationships across data elements in new ways. In doing so, you might discover re lationships that significantly differ from what you might have expected; this, i n turn, can lead to important discoveries about your data or the processes behin d that data. This tool's visualization capabilities let you discover additional patterns of co-occurrence between these data elements. For example, you can use the analysis of products sold during the last sales promotion to guide your adve rtising campaign for the next sales period. The Rules Visualizer's high performa nce would let you analyze the results from today's sales data in time to alter t he advertising campaign for the following day.
The Evidence Visualizer visually represents the results of the Evidence Classifi er. It initially shows pie charts that represent how the various attributes cont ribute to the decision. For example, it might show that owning a home contribute s to being a good credit risk. It can show how to classify a household that rent s, has one child, and drives a car valued between $8,000 and $12,000.
The Statistics Visualizer computes and displays summary information for the curr ent dataset (max, min, standard deviation, distinct values, etc.).
The Record Viewer lets you view the data in the current table in a row/column sp readsheet-like tool.
|
|
|