The Natural Language Query (NLQ) Assistant enables you to use simple commands to quickly generate visualizations that surface key observations in your data.

Using the NLQ Assistant

Customizing Suggested Queries

You are able to tailor Suggested Queries more to your specific data. In order to do this, a Keywords file is included which can be found in the following locations on different platforms:

• Windows: C:\Users\[username]\Documents\Virtualitics\Settings\keyword-bank.csv
• Mac: /Users/[username]/Virtualitics/Settings/keyword-bank.csv
• Linux: [.tar file path]/Virtualitics.[version]/Virtualitics_Data/StreamingAssets/NLQSettings/keyword-bank.csv

This file can be edited to ensure that data features with the desired keywords are displayed in the Suggested Queries. This can be very useful for speeding up analysis of new datasets when you know which features are most important to your analysis. 

Extended Queries

In order to make NLQ even more accessible, Virtualitics Explore Desktop includes an editable collection of template queries that allow you to expand the phrasings and terminology that the NLQ Assistant will recognize.

Extended Queries speed up common or lengthy queries with streamlined phrases, and advanced users in an organization can add more accessible queries to share with others.

Location

The Extended Queries file can be found in the following locations on different platforms:

• Windows: C:\Users\[username]\Documents\Virtualitics\Settings\standard-extended-queries.csv
• Mac: /Users/[username]/Virtualitics/Settings/standard-extended-queries.csv
• Linux: [.tar file path]/Virtualitics.[version]/Virtualitics_Data/StreamingAssets/NLQSettings/standard-extended-queries.csv

File Structure

The structure of the file is a list of input templates, output templates, and optional comments.

You can add custom inputs and queries into the file to create your own Extended Queries, which can include either placeholder feature names like {FEATURE1}, surrounded by curly brackets, or specific data feature names like ‘Days_Delayed’ or ‘Sales/SqFt’, surrounded by single quotes.

Extended Queries can greatly simplify repeated analysis. The image below displays a few Keywords from the file.

Video Tutorial