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What We Do

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Clean, consolidate, and organize data in various states....

  • Mixed date formats (e.g., 01/14/24, 2024-01-14, Jan 14, 2024)

  • Currency stored as text ($1,234.56 vs 1234.56, occasional blanks)

  • Duplicated rows

  • Inconsistent categories (case changes, extra spaces, “Advertising” vs “Ads”)

  • Inconsistent flags (Paid = Y/N/Yes/No/1/0)

  • Missing fields (email/vendor/city)

Review resulting output for insight and visualization
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