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Crowdfunding_ETL

An ETL project using Python, Pandas and Postgres to extract data from Excel files and upload it into a database.

The crowdfunding dataset has been extracted via the following notebooks:

  • Category and Subcategory data, by Kashif in ETL_Mini_Project_KBashir.ipynb
  • Campaign data, by Helena in ETL_Mini_Project_HChen.ipynb
  • Contacts data, by Tom in ETL_Mini_Project_TPisel.ipynb

Resources/ contains the excel files to be read and the generated csv files.

Database/ contains scripts to generate the database, including:

  • Table schema crowdfunding_db_schema.sql
  • Diagram db_diagram.png
  • Script to create and populate the database create_db.sh

The script can be run from terminal with sh Database/create_db.sh

Ensure you are in the root directory of the project and have a localhost postgres instance and psql.

No external code has been used in this project, except where provided as part of the assignment resources.

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