Statistical tools
When you are authoring analyses in the installed client, you often have access to additional calculation and prediction tools. Which tools you can use depends on the license features enabled.
- Data relationships
The Data relationships tool is used for investigating the relationships between different column pairs. The tool always works on the currently filtered data. - K-means clustering
K-means clustering is an algorithm for partitioning a data table into subsets (clusters), in such a way that the members of each cluster are relatively similar. - Line similarity
The Line Similarity tool is used to compare the lines in a line chart to a selected master line. - Hierarchical clustering
Hierarchical clustering arranges items in a hierarchy with a treelike structure based on the distance or similarity between them. The graphical representation of the resulting hierarchy is a tree-structured graph called a dendrogram. In Spotfire, hierarchical clustering and dendrograms are strongly connected to heat map visualizations. You can cluster both rows and columns in the heat map. Row dendrograms show the distance or similarity between rows, and which nodes each row belongs to as a result of clustering. Column dendrograms show the distance or similarity between the variables (the selected cell value columns). - Predictive modeling
Spotfire provides you with the tools to incorporate predictive models into your analysis using either regression modeling or classification modeling.
- Data relationships
The Data relationships tool is used for investigating the relationships between different column pairs. The tool always works on the currently filtered data. - K-means clustering
K-means clustering is an algorithm for partitioning a data table into subsets (clusters), in such a way that the members of each cluster are relatively similar. - Line similarity
The Line Similarity tool is used to compare the lines in a line chart to a selected master line. - Hierarchical clustering
Hierarchical clustering arranges items in a hierarchy with a treelike structure based on the distance or similarity between them. The graphical representation of the resulting hierarchy is a tree-structured graph called a dendrogram. In Spotfire, hierarchical clustering and dendrograms are strongly connected to heat map visualizations. You can cluster both rows and columns in the heat map. Row dendrograms show the distance or similarity between rows, and which nodes each row belongs to as a result of clustering. Column dendrograms show the distance or similarity between the variables (the selected cell value columns). - Predictive modeling
Spotfire provides you with the tools to incorporate predictive models into your analysis using either regression modeling or classification modeling.
Parent topic: Analyzing data