Quick Data Cleanup
Clean small datasets by removing duplicates and fixing basic formatting issues.
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2 Days
1 Day (...)
- 100
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- -
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- ... (+1 Day)
I will clean and format your data for accurate analysis
Basic
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Quick Data Cleanup
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Clean small datasets by removing duplicates and fixing basic formatting issues.
Delivery Time
2 Days
Package Includes: see all
Basic
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Standard
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Premium
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Service details
Is your data messy, confusing, or full of errors? Don’t worry — I can help.
I will clean, organize, and fix your Excel or CSV data so it becomes clear, structured, and ready to use. Messy data can lead to wrong decisions, wasted time, and frustration. My goal is to turn your raw data into something you can actually understand and work with.
🔧 What I will do for you:
- Remove duplicates and unnecessary entries
- Fix formatting issues (dates, numbers, text)
- Handle missing or incorrect values
- Organize columns and rows properly
- Make your data analysis-ready
This service is perfect for:
- Students
- Small businesses
- Researchers
- Anyone struggling with messy spreadsheets
I focus on accuracy, clarity, and fast delivery. I also communicate clearly and make sure I understand your requirements before starting, so you get exactly what you need.
📁 Supported files: Excel (XLS/XLSX), CSV, Google Sheets
If you’re unsure whether your data can be cleaned, feel free to message me first. I’m happy to take a look and guide you.
Let’s clean your data and make it useful again ✅
Key details
- Service TypeData Cleaning
Special note from freelancer
Afnan
Clear communication, clean results, reliable delivery every time with data accuracy and structure.
FAQs
What file formats do you accept?
I accept Excel XLS, XLSX, CSV, and Google Sheets files.
What if my data exceeds the package limits?
Afnan
- Member since
- Speaks English, Urdu, Hindi
- Lives in Pakistan
About Afnan
Data Analyst |Python & Jupyter Notebook
I am a beginner data analyst who works with Python using Jupyter Notebook. I handle data analysis tasks such as cleaning datasets, organizing data, handling missing values, removing duplicates, and performing basic analysis using libraries like Pandas and NumPy. I focus on accuracy, clear results, and well-structured notebooks while continuously learning and improving my data analysis skills.
I am a beginner data analyst who works with Python using Jupyter Notebook. I handle data analysis tasks such as cleaning datasets, organizing data, handling missing values, removing duplicates, and performing basic analysis using libraries like Pandas and NumPy. I focus on accuracy, clear results, and well-structured notebooks while continuously learning and improving my data analysis skills.
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