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Update README with dataset and pipeline information
Added dataset details and clarified pipeline description.
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README.md

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@@ -16,7 +16,9 @@ End-to-end business analytics pipeline built on a simulated retail dataset: **cu
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**26+ SQL queries** organized from data validation → aggregations → transaction analysis → multi-table joins, with Python automation for data generation and Tableau dashboards for stakeholder reporting.
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**Pipeline:** `PostgreSQL → SQL Analytics → Python Export → Tableau + Excel`
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**Pipeline:** `PostgreSQL → SQL Analytics → Python Export → Tableau + Excel`
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**Dataset:** 2,314 customers · 5,000 transactions · $2.58M revenue · 14 months
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