Variable Types

Table of contents

  1. Boolean
  2. Categorical
  3. Datetime
  4. Layout
  5. Number
  6. Ordinal
  7. Scalar
  8. Text

The Network Canvas software supports modeling data using a standard of variety data types. Below you will find these types summarized, along with relevant information about their limitations and features.

Boolean

Represents dichotomous categories with only two possible values (e.g. true/false).

Compatible Input Controls:

Validation Options: Required

Categorical

These variables represent nominal categories or characteristics that have no intrinsic ordering or hierarchy (e.g. gender, nationality, etc.).

Compatible Input Controls:

Validation Options: MinSelected, MaxSelected, Required

Datetime

These variables represent a point in time (typically a date).

Compatible Input Controls:

Validation Options: Required

Layout

These variables store the x, y coordinates of nodes on the Sociogram normalized to a range of [0, 1].

This variable type has no validation options or input controls, because it cannot be used on a form.

Number

These variables represent integer values (e.g. age, height, etc.).

Compatible Input Controls:

Validation Options: MaxValue, MinValue, Required

Ordinal

These variables represent categories that are ordered hierarchically (e.g. frequency of contact, level of education, etc.).

Compatible Input Controls:

Validation Options: Required

Scalar

These variables represent a normalized value within a scale [0.1] (e.g. perceived pain).

Compatible Input Controls:

Validation Options: Required

Text

These variables represent text data (e.g. names, qualitative responses, etc.).

Compatible Input Controls:

Validation Options: MinLength, MaxLength, Required