
Clean and standardize 1,000 rows of Excel or CSV data
Delivery in
2 days
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What you get with this Offer
I will clean and organize ONE Excel or CSV dataset containing up to 1,000 rows and 15 columns.
DELIVERABLES:
- A cleaned .xlsx or .csv file with consistent formatting and standardized values
- Removal or highlighting of duplicate records using agreed criteria
- Missing-value and invalid-format checks, without inventing unknown data
- A brief quality-control summary with counts of changes, remaining exceptions and assumptions
- One minor correction round
I can assist with common data cleanup such as dates, text, capitalization, extra spaces, duplicate rows and column consistency. Where data cannot be reliably corrected, I will flag it instead of guessing.
EXCLUDED: Advanced financial modeling, external enrichment, huge multi-file merges, sensitive personal data, macros and dashboards, unless separately agreed. Automated tools and AI assistance may be used, with output checked for correctness.
Delivery within 2 days after receiving the source file and clear cleaning rules.
DELIVERABLES:
- A cleaned .xlsx or .csv file with consistent formatting and standardized values
- Removal or highlighting of duplicate records using agreed criteria
- Missing-value and invalid-format checks, without inventing unknown data
- A brief quality-control summary with counts of changes, remaining exceptions and assumptions
- One minor correction round
I can assist with common data cleanup such as dates, text, capitalization, extra spaces, duplicate rows and column consistency. Where data cannot be reliably corrected, I will flag it instead of guessing.
EXCLUDED: Advanced financial modeling, external enrichment, huge multi-file merges, sensitive personal data, macros and dashboards, unless separately agreed. Automated tools and AI assistance may be used, with output checked for correctness.
Delivery within 2 days after receiving the source file and clear cleaning rules.
What the Freelancer needs to start the work
Please upload one Excel/CSV file (up to 1,000 rows and 15 columns), define the required columns and desired output, and indicate duplicate rules, formatting standards and any special exceptions. Remove sensitive personal data.
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