Using the Classify Nodes from Dataset Wizard

The Classify Nodes from Dataset Wizard is displayed when you choose to classify new or existing nodes based on the attribute values in a dataset—refer to Classify nodes (set attribute values to record information). For example, you can use the wizard to create nodes for the respondents in a survey, classify them and set their attribute values.

This topic provides a guide to using each step of the wizard.

Wizard step	Description
Introducing the wizard	This step explains what you can achieve by using the wizard. There are no options to select in this step
Choose whether to use all rows or filtered rows	This step is only displayed if a filter is applied to the dataset—choose whether you want to use all rows when classifying nodes, or only filtered rows.
Select a location for the nodes	You can store the nodes under a parent node or in a folder. If you want to code at nodes that already exist in your project, you must select the location that matches the existing hierarchy. If you select a different location, new nodes will be created. Decide whether you want to create nodes if they do not exist in this location—any nodes that are not found in the location will be created and classified. Select the node classification you want to use. For example, if you are classifying nodes that represent people, you might select the classification person. You need to create the classification before running the wizard. Decide whether you want to update the classification of nodes that already exist in the selected location. CAUTION If you update the classification of existing nodes, you may lose data. For example, if nodes are classified as teacher with attributes for age, sex and department, when you update the classification to person (which only has attributes for age and sex), you will lose the information about department that is currently stored on the nodes.
Select the columns that contain values you want to use as node names	Select the column that contains the names of your nodes: For example, if you want to create a node to represent each person you surveyed, you could use a column which contains their name or some other identifier. You should ensure that each cell in this column contains a different value. If two people share the same name, only a single node will be created. (Optional) Choose whether the nodes should be nested into a hierarchy. For example, if you surveyed high school students in three schools, you might create a node structure that has a parent node for each school and child nodes for each student. You can select classifying columns which contain the values you want to use to build the hierarchy. The preview area at the bottom of the wizard shows the nodes that will be created based on the options you have selected on this step of the wizard. Click the Expand buttons to expand the hierarchy. Only the leaf nodes in the hierarchy are classified. If you are not satisfied with the structure, try changing the options on this step.
Select the columns that contain attribute values	Choose the attributes you want to set on the nodes—for example, if you are classifying nodes that represent people, you might want to use their age, sex and country of origin. Click the Map & Group button, if you want to: Map a column to an existing attribute or to a new attribute with a different name, data type or default value. Group attribute values—for example, if a column contains the ages of survey respondents you can group the ages into ranges. Choose whether you want to update the attribute values of any matching nodes. The preview area at the bottom of the wizard shows the attribute values that will be set on the nodes based on the options you have selected on this step of the wizard. Click the Expand buttons to expand the hierarchy. New attributes are highlighted in bold—you can map columns to existing attributes (select the column and then click Map & Group).