Visual Data Representation
Graphbook uses a carefully designed iconography and color palette to represent different data dimensions and types. This standardized visual vocabulary allows you to simplify the communication of intricate data concepts, making it easier for you to navigate and work with models.
Data Shape Iconography
| Size | toString() | Input | Output | Description |
|---|---|---|---|---|
| Unbound or Scalar |  |  | Either no data shape is detected, or data shape is scalar. | |
| -Dimensional |  |  | Data shape must be 1-dimensional. | |
| -Dimensional |  |  | Data shape must be 2-dimensional. | |
| -Dimensional |  |  | Data shape must be 3-dimensional. | |
| -Dimensional |  |  | Data shape must be more than -dimensional. |
Data Type Color Scheme
| Type | ≤100 elements | >100 elements | Description |
|---|---|---|---|
| UNBOUND | Unbound data types are teal. | ||
| INTEGER_OR_DECIMAL | Variables that can accept either integer or decimal data are displayed as greyish blue. | ||
| INTEGER | Integer variables are displayed as violet. | ||
| DECIMAL | Decimal variables are displayed as pink/purple. | ||
| BOOLEAN | Boolean variables are displayed as orange. | ||
| TEXT | Text variables are displayed as green. |