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Table 5 extracts the data within the scorecard json object to make it more readily accessible.

Table 5 can get large and data scientists may find it more economic to extract selected parameters from the json file in Table 1 or load only part of Table 5 rather than all of Table 5.

Field	Type	Description
app_name	String	Name of the application created in the Wordbench text analytics tool.
company	String	Corresponds to the Company field in Wordbench. Refer to Wordbench Management Guide which can be found in the Media Library on the website.
folder	String	Corresponds to the Folder field in Wordbench. Refer to Wordbench Management Guide which can be found in the Media Library on the website.
insert_time	value	Date and time the database was populated.
insertid	String	Unique identifier to link the tables together within the database. This is also the Primary Key for this table.
organisation	String	Corresponds to the Organization field in Wordbench. Refer to Wordbench Management Guide which can be found in the Media Library on the website.
path	String	Shows the Categories and Sub-categories sitting under the app_name field. There will be a row for each Category and Sub-category within each app. For example, the Customer Experience app scores, inter alia, Negative Experience. Under Negative Experience, scores are provided for customers who are Angry, Confused, etc. Hence, for any one call, there will be a row for: Negative Experience Negative Experience/Anger Negative Experience/Confusion
value	Varies	Value of the field corresponding to the path name.

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