anthropics/financial-services

clean-data-xls

Clean up messy spreadsheet data — trim whitespace, fix inconsistent casing, convert numbers-stored-as-text, standardize dates, remove duplicates, and flag mixed-type columns.

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Clean Data

Clean messy data in the active sheet or a specified range.

Environment

  • If running inside Excel (Office Add-in / Office JS): Use Office JS directly (Excel.run(async (context) => {...})). Read via range.values, write helper-column formulas via range.formulas = [["=TRIM(A2)"]]. The in-place vs helper-column decision still applies.
  • If operating on a standalone .xlsx file: Use Python/openpyxl.

Workflow

Step 1: Scope

  • If a range is given (e.g. A1:F200), use it
  • Otherwise use the full used range of the active sheet
  • Profile each column: detect its dominant type (text / number / date) and identify outliers

Step 2: Detect issues

IssueWhat to look for
Whitespaceleading/trailing spaces, double spaces
Casinginconsistent casing in categorical columns (usa / USA / Usa)
Number-as-textnumeric values stored as text; stray $, ,, % in number cells
Datesmixed formats in the same column (3/8/26, 2026-03-08, March 8 2026)
Duplicatesexact-duplicate rows and near-duplicates (case/whitespace differences)
Blanksempty cells in otherwise-populated columns
Mixed typesa column that's 98% numbers but has 3 text entries
Encodingmojibake (é, ’), non-printing characters
Errors#REF!, #N/A, #VALUE!, #DIV/0!

Step 3: Propose fixes

Show a summary table before changing anything:

ColumnIssueCountProposed Fix

Step 4: Apply

  • Prefer formulas over hardcoded cleaned values — where the cleaned output can be expressed as a formula (e.g. =TRIM(A2), =VALUE(SUBSTITUTE(B2,"$","")), =UPPER(C2), =DATEVALUE(D2)), write the formula in an adjacent helper column rather than computing the result in Python and overwriting the original. This keeps the transformation transparent and auditable.
  • Only overwrite in place with computed values when the user explicitly asks for it, or when no sensible formula equivalent exists (e.g. encoding/mojibake repair)
  • For destructive operations (removing duplicates, filling blanks, overwriting originals), confirm with the user first
  • After each category of fix (whitespace → casing → number conversion → dates → dedup), show the user a sample of what changed and get confirmation before moving to the next category
  • Report a before/after summary of what changed
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