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EngrMunesh/ETL-with-Python

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This project implements an ETL (Extract, Transform, Load) pipeline using Python, pandas, and SQLAlchemy. It extracts university data from an online dataset, processes the information, and stores it in an SQLite database.

active 2025-03-13 → 2025-03-13 (UTC)

Complete coverage28,250 / 28,250 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-04 (UTC)
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Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-03-13 to 2025-03-13. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Recent activity

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