Excel Numerical Data Cleanup
Budget: ₹400 – ₹750 INR
I have several Excel spreadsheets filled with raw numbers that now require thorough data entry focused on cleaning and validation. Every figure must be double-checked for accuracy, inconsistent formats need standardising, and any duplicate or obviously erroneous records have to be flagged and fixed.
You will be working directly in the existing Excel files, using whatever techniques you find most efficient—formulas, filters, conditional formatting, even light VBA if that speeds things up—as long as the final sheets remain fully functional and easy for me to audit.
Deliverables
• A clean, validated version of each original spreadsheet, preserving all columns and row order
• A brief log (can be a separate tab) noting the corrections made, the rules you applied, and any outliers that still need my review
Acceptance criteria
• No duplicate rows or blank numeric cells where values are expected
• Numeric formats are consistent (e.g., no mixed commas/periods, scientific notation only where intended)
• All calculations in summary columns match the underlying data after cleaning
• Log clearly explains every change that could affect interpretation of the numbers
If you have a keen eye for numerical detail and strong Excel skills, this should be a straightforward project we can wrap up quickly.
You will be working directly in the existing Excel files, using whatever techniques you find most efficient—formulas, filters, conditional formatting, even light VBA if that speeds things up—as long as the final sheets remain fully functional and easy for me to audit.
Deliverables
• A clean, validated version of each original spreadsheet, preserving all columns and row order
• A brief log (can be a separate tab) noting the corrections made, the rules you applied, and any outliers that still need my review
Acceptance criteria
• No duplicate rows or blank numeric cells where values are expected
• Numeric formats are consistent (e.g., no mixed commas/periods, scientific notation only where intended)
• All calculations in summary columns match the underlying data after cleaning
• Log clearly explains every change that could affect interpretation of the numbers
If you have a keen eye for numerical detail and strong Excel skills, this should be a straightforward project we can wrap up quickly.