Data Cleaning & Structuring in Action ๐Ÿงน๐Ÿ“Š Project Description: Transformed raw, unstructured dat...Data Cleaning & Structuring in Action ๐Ÿงน๐Ÿ“Š Project Description: Transformed raw, unstructured dat...
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Data Cleaning & Structuring in Action ๐Ÿงน๐Ÿ“Š
Project Description:
Transformed raw, unstructured datasets into clean, standardized, and fully validated reports ready for business intelligence and decision-making.
Key Highlights & Process:
Data Standardization: Cleaned and unified inconsistent values across key fields like City, Gender, and Product names using standard text rules and case formatting.
Calculation & Logic Fixes: Corrected underlying formula errors and recalculated key financial columns, including Final_Price and Discount.
Missing Value & Error Handling: Treated blank entries, #N/A, and #VALUE! errors effectively to preserve dataset integrity without dropping critical data points.
Advanced Formatting: Applied clean tabular layouts, auto-adjusted column widths, and proper currency/percentage styling for executive-ready presentation.
Statistical Readiness: Organized cleaned data to easily compute descriptive statistics (Mean, Median, Mode) and run summary analysis.
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