Financial Transaction Record Cleanup
Budget: $30 – $250 USD
My company’s transaction records live in a relational database, and they need a careful scrub so every line item is trustworthy. The two priorities are straightforward:
• Remove every duplicate entry, even when the values are only partially repeated.
• Correct any formatting issues that crept in over time, such as inconsistent date or currency formats.
You will connect to the database (MySQL/PostgreSQL dump or direct connection—whichever you prefer) and deliver a cleaned dataset plus a brief changelog or SQL script summarising what you did. No missing-data imputation is required right now; the focus is purely on de-duplication and standardising formats.
If you’re comfortable writing precise SQL, using data-cleaning tools such as OpenRefine or Pandas, and documenting your steps clearly, I’d like to get started this week and wrap up quickly.
• Remove every duplicate entry, even when the values are only partially repeated.
• Correct any formatting issues that crept in over time, such as inconsistent date or currency formats.
You will connect to the database (MySQL/PostgreSQL dump or direct connection—whichever you prefer) and deliver a cleaned dataset plus a brief changelog or SQL script summarising what you did. No missing-data imputation is required right now; the focus is purely on de-duplication and standardising formats.
If you’re comfortable writing precise SQL, using data-cleaning tools such as OpenRefine or Pandas, and documenting your steps clearly, I’d like to get started this week and wrap up quickly.
Related categories:
Data Processing
SQL
MySQL
Database Administration
PostgreSQL
Database Programming
Data Analysis
Data Management