You will get Clean CSV or Excel File (Up to 2,000 rows)

Project details
I clean and organise messy or inconsistent CSV and Excel files so they’re ready for analysis, reporting or import into other systems. Whether your dataset has formatting issues, duplicates, inconsistent categories, missing values, or needs restructuring, I’ll turn it into a clean, reliable and easy-to-use file. I work with Python, R, Excel and Google Sheets, so I can handle a wide range of data cleaning tasks - if required - from simple formatting fixes to more detailed standardisation work. Each project includes careful checking, tidy layout, consistent formatting and a brief summary of what was improved. If you need your data cleaned quickly, accurately and with minimal hassle, I can help. My goal is to deliver a clear, well-structured dataset that saves you time and avoids downstream errors.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$18
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 1 | 1 | 2 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10Frequently asked questions
About Rae
Data & Research Support (MSc)
Dorking, United Kingdom - 3:55 pm local time
Recent work includes supporting system migrations, preparing reporting dashboards, and editing biology-focused articles to meet academic standards. I’m comfortable working in Excel, R, Python and SQL, and I regularly proofread and paraphrase scientific material to reduce similarity while preserving meaning.
My focus is clarity, accuracy and reliable delivery—whether the task is technical, editorial or research-based.
Steps for completing your project
After purchasing the project, send requirements so Rae can start the project.
Delivery time starts when Rae receives requirements from you.
Rae works on your project following the steps below.
Revisions may occur after the delivery date.
Review the file
I’ll inspect the dataset and confirm the work needed, including formatting issues, duplicates, category inconsistencies, or missing fields.
Clean and standardise the data
I’ll fix formatting, remove duplicates, standardise categories, tidy column structure, and resolve common data quality issues.
