CSV checks and spreadsheet formula review by Hyunggon ChaCSV checks and spreadsheet formula review by Hyunggon Cha
CSV checks and spreadsheet formula reviewHyunggon Cha
Cover image for CSV checks and spreadsheet formula review
AI-assisted checks for a small exported dataset or a simple spreadsheet with a specific issue to investigate.
A pilot covers one agreed task:
Check a CSV of up to 200 rows for duplicate keys, missing fields or mismatched totals
Review up to 50 formulas across two spreadsheet tabs for inconsistent references and omitted rows
Review a list of up to 50 campaign URLs against your supplied UTM naming rules
You receive an issue list with row or cell references, a short explanation of the likely impact, and proposed corrections for review. The scope, price, target application and acceptance checks are agreed before work begins.
Please start with a redacted sample that you have permission to share, the expected result, and the application where you will use the output.
The example image uses fictional data. It demonstrates a wrong price reference and a total that omits the last row. The working sample behind this preview has been recalculated and checked with Artifact Tool. It has not been tested in native Microsoft Excel or Google Sheets.
The service uses AI assistance. Any client requirement that prohibits it needs to be resolved before accepting the work.
Contact for pricing
Duration1 week
Tags
Python
Data Analyst
Service provided by
Hyunggon Cha Yeosu-si, South Korea
CSV checks and spreadsheet formula reviewHyunggon Cha
Contact for pricing
Duration1 week
Tags
Python
Data Analyst
Cover image for CSV checks and spreadsheet formula review
AI-assisted checks for a small exported dataset or a simple spreadsheet with a specific issue to investigate.
A pilot covers one agreed task:
Check a CSV of up to 200 rows for duplicate keys, missing fields or mismatched totals
Review up to 50 formulas across two spreadsheet tabs for inconsistent references and omitted rows
Review a list of up to 50 campaign URLs against your supplied UTM naming rules
You receive an issue list with row or cell references, a short explanation of the likely impact, and proposed corrections for review. The scope, price, target application and acceptance checks are agreed before work begins.
Please start with a redacted sample that you have permission to share, the expected result, and the application where you will use the output.
The example image uses fictional data. It demonstrates a wrong price reference and a total that omits the last row. The working sample behind this preview has been recalculated and checked with Artifact Tool. It has not been tested in native Microsoft Excel or Google Sheets.
The service uses AI assistance. Any client requirement that prohibits it needs to be resolved before accepting the work.
Contact for pricing