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Clean a messy sheet

Dates written three ways, extra spaces, duplicates, amounts typed as text. Say what clean looks like and Weaver makes a clean copy.

Exports from other systems arrive messy. Say what clean looks like. Weaver makes a clean copy and leaves your original alone.

Things you can ask for

  • "Write every date as DD-MM-YYYY."
  • "Remove rows that are exact duplicates."
  • "Remove the spaces before and after every name."
  • "Make Amount a number. Some cells have a ₹ sign and commas."
  • "Split Full Name into First Name and Last Name."
  • "Where State is written as 'TN', 'Tamilnadu' or 'Tamil Nadu', use 'Tamil Nadu'."
  • "Delete rows where Email is empty."

You can ask for several at once. Weaver does them in order and tells you how many rows each one touched.

Check before you trust

Weaver reports the count for each change: "312 dates rewritten, 9 duplicates removed". If a count looks wrong, ask "show me the 9 duplicates" before you save anything.

Weaver will not turn "N/A" or a blank into 0. A missing value stays missing and is marked, so it cannot hide inside a total.

You askWrite every date as DD-MM-YYYY, remove duplicate rows, and make Amount a number.

Before

DateCustomerAmount
2026-03-14Ashwin Traders ₹12,750
14/03/2026Ashwin Traders12750
15 Mar 2026Nilgiri Foods9,400

After

DateCustomerAmount
14-03-2026Ashwin Traders12750
15-03-2026Nilgiri Foods9400

3 dates rewritten, 1 duplicate removed, 3 amounts made numbers.

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