Data Pane

As you extract and explore text link analysis patterns, you may want to review some of the data you are working with. For example, you may want to see the actual records in which a group of patterns were discovered. You can review records or documents in the Data pane, which is located in the lower right. If not visible by default, choose View > Panes > Data from the menus.

The Data pane presents one row per document or record corresponding to a selection in the view, up to a certain display limit. By default, the number of documents or records shown in the Data pane is limited in order to make it faster for you to see your data. However, you can adjust this in the Options dialog box. See Options: Session Tab for more information.

Text Documents or Records

If your text data is in the form of records and the text is relatively short in length, the text field in the Data pane displays the text data in its entirety. However, when working with records and larger datasets, the text field column shows a short piece of the text and opens a Text Preview pane to the right to display more or all of the text of the record you have selected in the table. If your text data is in the form of individual documents, the Data pane shows the document's filename. When you select a document, the Text Preview pane opens with the selected document's text.

Colors and Highlighting

Whenever you display the data, concepts and descriptors found in those documents or records are highlighted in color to help you easily identify them in the text. The color coding corresponds to the types to which the concepts belong. You can also hover your mouse over color-coded items to display the concept under which it was extracted and the type to which it was assigned. Any text that was not extracted appears in black. Typically, these unextracted words are often connectors (and or with), pronouns (me or they), and verbs (is, have, or take).

Data Pane Columns

While the text field column is always visible, you can also display other columns. To display other columns, choose View > Data Pane from the menus, and then select the column that you want to display in the Data pane. The following columns may be available for display:

• "Text field name" (#)/Documents. Adds a column for the text data from which concepts and type were extracted. If your data is in documents, the column is called Documents and only the document filename or full path is visible. To see the text for those documents you must look in the Text Preview pane. The number of rows in the Data pane is shown in parentheses after this column name. There may be times when not all documents or records are shown due to a limit in the Options dialog used to increase the speed of loading. If the maximum is reached, the number will be followed by - Max. See Options: Session Tab for more information.
• Categories. Lists each of the categories to which a record belongs. Whenever this column is shown, refreshing the Data pane may take a bit longer so as to show the most up-to-date information.
• Force In. Lists the categories into which you have forced a document. Documents can be forced into the category through the Edit > Force In menu selection. See Forcing documents into categories for more information.
• Force Out. Lists the categories from which you have removed a document. Documents can be forced out of a category through the Edit > Force Out menu selection. For example, this might be used when a respondent's sarcasm causes a response to be miscategorized. See Forcing documents into categories for more information.
• Category Counts. Lists the number of the categories to which a record belongs.
• Relevance Ranks. Provides a rank for each record in a single category. This rank shows how well the record fits into the category compared to the other records in that category. Select a category in the Categories pane (upper left pane) to see the rank. See Category Relevance for more information.
• Response Flags. Adds a column that shows any flags you may be using. Click inside this column to change the type of flag that you assign to documents. You might flag documents with a "complete" flag or an "important" flag, or remove flags. This is useful for reviewing the completeness of a category model. See Flagging responses for more information.