https://github.com/nadaabdelmalek97/-deforestation-sql-project-

“ Deforestation SQL project “ 📌 This project was a comprehensive journey that encompassed rigorous data cleaning ,building schema, and provide insights with regard to the forestation trend between 1990 - 2016. Our main goal was to explore and analysed the dataset by writing simple SQL queries 📝
https://github.com/nadaabdelmalek97/-deforestation-sql-project-

cleaning-data insights postgresql quire remove-duplicates schema sql trends

Last synced: 15 days ago
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“ Deforestation SQL project “ 📌 This project was a comprehensive journey that encompassed rigorous data cleaning ,building schema, and provide insights with regard to the forestation trend between 1990 - 2016. Our main goal was to explore and analysed the dataset by writing simple SQL queries 📝

• Host: GitHub
• URL: https://github.com/nadaabdelmalek97/-deforestation-sql-project-
• Owner: nadaabdelmalek97
• Created: 2024-11-19T00:48:14.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-19T00:58:24.000Z (about 2 months ago)
• Last Synced: 2024-11-19T01:19:39.577Z (about 2 months ago)
• Topics: cleaning-data, insights, postgresql, quire, remove-duplicates, schema, sql, trends
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# -Deforestation-SQL-project-

“ Deforestation SQL project “ 📌 This project was a comprehensive journey that encompassed rigorous data cleaning ,building schema, and provide insights with regard to the forestation trend between 1990 - 2016. Our main goal was to explore and analysed the dataset by writing simple SQL queries 📝

To explore and analysed the dataset by writing simple SQL queries.

Understand and provide insights with regards to the forestation trend between 1990 - 2016