Strings represent biases, which are applied to instance replies by StringCubes - they are what makes our ability to find relationships in data so amazing, and model hypotheticals to show you how things where the conflict and consensus is.

Parts

1. Tags
   Some possible tags to help identify types of strings: calm, chance, equality, external, extremes, internal, moderation, need, neutral, passionate, responsibility, etc.
2. Fields
1. Specific
   These fields help define the instance and contain the data found there.
1. Locate        (Select)
   Choose a locate (bézier/equation) to initially locate the response values.
2. Transform        (Usage)
   Add, select and order transformations (mirror, flip, rotate 90°, rotate 180° and rotate 270°) used on the locate.
1. Transform        (Select: Transform)
   Choose from available transforms.
2. Factor        (Number)
   
   
3. Up        (Select from Ups)
   Choose the linguistic term to use in output.
4. Down        (Select from Downs)
   Choose the linguistic term to use in output.
5. Minimum range        (Select) 
   Choose from examples such as: Education, Business, Military, Political, Social, Psychology, Other, Medical, Scientific, Sports, Incarcerated, Investment, Artists, etc.
2. Common
   This folder contains fields common to many other folders: Title, Graphic, Tags, Rating, Description, Created, Notes.

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