How many mistakes can you spot in this spreadsheet? 👀

Messy data can cause more problems than you might think!

From duplicate customer records and missing information to inconsistent formatting, even small errors can make managing business data difficult.

I help businesses organise, format and review their spreadsheets, identifying potential issues before making any changes that require client approval.

Can you spot all the issues in this example? Let me know in the comments!

#DataEntry #SpreadsheetFormatting #DataCleaning #Freelancer #GoogleSheets

I can identify at least few data-quality issues or inconsistencies in this customer dataset. Name not properly capitalized

Name capitalization inconsistent

Possible spelling error

Name not properly capitalized

Possible duplicate customer

Email uses uppercase letters

...

A personal Excel/CSV data-cleaning demo: 8 fictional input rows become 7 after removing one exact duplicate. Zero stock is preserved; a missing price stays blank and is flagged. The original data is retained for comparison. This is a self-initiated example, not client work.

I can help with Excel/CSV cleaning, reconciliation and clear reports. We agree scope, price and delivery after reviewing a sample. First project: 50% off the agreed regular quote, with no future-order commitment.

Great approach to data cleaning! Preserving the original data while flagging missing values and removing only exact duplicates helps maintain accuracy and transparency. These small checks can make a big difference in reliable reporting.