TAU Formula

Returns tau, the circle constant equal to 2*pi.

Syntax

Formula structure

Source: Quadratic docs
=TAU()

No inputs required. This formula does not take any parameters.

Examples for the tau formula

Copy these examples into a spreadsheet and adjust the ranges for your own data.

TAU syntax pattern

=TAU()

Use this TAU pattern as the starting point for your spreadsheet formula.

TAU in a worksheet

=TAU()

Returns tau, the circle constant equal to 2*pi.

When to use TAU

Use TAU when you need to return tau, the circle constant equal to 2*pi.

  • Build totals, rounded metrics, and numeric calculations.
  • Clean up numeric inputs before analysis.

How TAU works in Quadratic

In Quadratic, TAU follows the syntax TAU(). The function works inside Quadratic formulas and can be combined with spreadsheet ranges, tables, and other formulas.

Common TAU mistakes

Most TAU issues come from mismatched argument types, ranges that do not cover the intended data, or optional parameters being omitted when the default behavior is not what you expected.

  • Check each required parameter before copying the formula across a sheet.
  • Confirm that ranges line up with the rows or columns you intend to analyze.
  • Use Quadratic AI to explain or debug the formula when the result looks wrong.

Related formulas

TAU formula FAQ

What does the tau formula do?

TAU returns tau, the circle constant equal to 2*pi.

What is the syntax for TAU?

The syntax is TAU(). Required and optional parameters are listed at the top of this guide.

Can Quadratic AI help with TAU?

Yes. Quadratic AI can write a TAU formula, explain existing formula logic, or help debug broken references and unexpected results.

Quadratic AI

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Spreadsheet formulas are powerful, but they get painful fast. A TAU formula can start simple, then turn into logic that is hard to understand, easy to break, and difficult to share with the rest of your team.

Quadratic AI helps you write formulas, explain formula logic, debug broken references, and move beyond formulas when advanced analysis needs Python, SQL, charts, or connected data.

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Why formulas slow teams down

  • Long formulas become hard to read, understand, and trust.
  • Formula logic breaks when rows, columns, or assumptions change.
  • Manual updates make dashboards and reports fragile over time.
  • Complex formulas are difficult to explain, review, and share with teammates.
  • Advanced analysis quickly outgrows formula-only workflows.