Char Formula in Excel

Same as UNICHAR.

Syntax

Formula structure

Source: Quadratic docs
=CHAR(code_point)
code_point
Required: Yes

Required argument used by the CHAR formula.

Examples for the char formula in excel

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

CHAR syntax pattern

=CHAR(code_point)

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

CHAR in a worksheet

=CHAR(code_point)

Same as UNICHAR.

When to use CHAR

Use CHAR when you need to use the same behavior as UNICHAR.

  • Clean, reshape, and compare text values.
  • Prepare labels, IDs, and imported text for analysis.

How CHAR works in Quadratic

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

Common CHAR mistakes

Most CHAR 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

CONCATENATELENLENBCODE

CHAR formula FAQ

What does the char formula in excel do?

CHAR same as UNICHAR.

What is the syntax for CHAR?

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

Can Quadratic AI help with CHAR?

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

Quadratic AI

Struggling with formulas? Use Quadratic AI.

Spreadsheet formulas are powerful, but they get painful fast. A CHAR 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.