Docs / Shapes / Table

Table Shape

The Table shape displays computed values from your model, allows manual data entry, and provides cell selection for performing regression analysis.

Table shape on the board showing columns of computed data

Overview

A Table shape shows the value of selected terms at each iteration step. It can display both computed columns (from expressions) and user-entered data columns. Tables are essential for data analysis workflows — you select cells, apply regression, and see results in linked charts.

Toolbar

Screenshot: Table toolbar with column picker, regression method, and options

The Table toolbar provides:

Column Types

TypeDescriptionEditable
ComputedValues calculated from model expressions at each iterationNo
DataUser-entered values for experimental or reference dataYes
RegressionColumn generated by a regression fitNo

Cell Selection

Screenshot: Table with cells selected (highlighted) for regression

To perform regression analysis:

  1. Click and drag to select a range of cells in a data column
  2. The selected range is highlighted
  3. Choose a regression method from the toolbar dropdown
  4. The regression result is created as a new term in the model
Select cells from two columns (X and Y) to define which data pair to use for the regression fit.

Regression Methods

MethodFit FunctionOutput
No RegressionClears any existing regression on the selection
Lineary = ax + bCreates a regression term with slope and intercept
Quadraticy = ax² + bx + cCreates a regression term with quadratic coefficients

Working with Regression Results

When you apply a regression:

See Regression for a full workflow guide, and Outliers for how outlier detection works.

Properties Panel

Screenshot: Table properties panel
PropertyDescription
ColumnsList of terms displayed in the table
Show iterationWhether to show the iteration/step column
Decimal placesNumber of decimal digits to display