Analyzing Data

After you have run the analysis, the result of each component in the analysis is represented using different visualization charts.

To analyze data, perform the following steps:

  1. After running an analysis, switch to the Results view by choosing the Results button in the toolbar.
  2. To view the visualization for a component, choose the required component in the analysis from the list of components on the right.
By default, the result of the component is displayed in the Table view.
The following table summarizes components and their supported visualization charts.
Components Visualization Charts
Data Sources and Preprocessors Scatter Matrix Chart, Statistical Summary Chart, Parallel Coordinates
Clustering Algorithms Cluster Representation Charts and Algorithm Summary
Decision Trees Decision Tree, Algorithm Summary, Confusion Matrix
Time Series Algorithms Trend Chart, Algorithm Summary
Regression Algorithms Trend Chart, Algorithm Summary
Association Algorithms Apriori Tag Cloud Chart, Algorithm Summary
The following table summarizes the supported data points for visualizations:
Note If the input dataset exceeds the interactivity data point limit, the charts are rendered without interactivity. If the input dataset exceeds the maximum data point limit, the data above the limit is not shown in the chart.
Table 1:
Charts Maximum Number of Data Points Supported
With Interactivity Without Interactivity
Trend Chart 4000 6000
Scatter Matrix Chart 500 1000
Parallel Coordinate Chart 60000 75000