📊 Car Market Data Cleaning & Structuring
This project involves cleaning and structuring raw car market data scraped from a popular online marketplace. The aim was to make the messy web-scraped dataset analysis-ready using Microsoft Excel.
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🔍 Project Objective
To transform raw, inconsistent car listings into a well-structured, clean dataset that can be easily analyzed for business insights.
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đź§ą Key Tasks Performed
âś… Removed duplicate rows
âś… Handled missing values (e.g., price, model year)
âś… Standardized column names and formats
âś… Cleaned numeric fields (e.g., mileage, price)
âś… Separated features into relevant categories (brand, model, condition, etc.)
âś… Created an Excel Table for easier filtering and sorting
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⚙️ Tools Used
Microsoft Excel
Data Cleaning
Text Functions (e.g., LEFT, RIGHT, TEXTSPLIT)
Number Formatting
Data Validation
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đź§ Skills Demonstrated
Data cleaning & preprocessing
Structuring unorganized web data
Excel functions & formatting
Preparing datasets for visualization and analysis
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📌 Future Plans
This cleaned dataset can be used for:
Price trend analysis
Popular car model analysis
Brand performance
Visual dashboards
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đź“§ Contact
đź“§ Email: Chainzmubarak2003@gmail.com
LinkedIn:
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upwork:
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