- 📖 About the Project
- 💻 Getting Started
- 👥 Authors
- 🔭 Future Features
- 🤝 Contributing
- ⭐️ Show your support
- 🙏 Acknowledgements
- 📝 License
Vet Clinic Database Project This project involves the creation of a PostgreSQL database named "vet_clinic" and the design of a table called "animals" with various attributes to store information about the clinic's patients. Additionally, data is inserted into the table to represent a sample of animals with unique characteristics.
Project Components: Schema Definition (schema.sql): The database schema is defined with the table structure, including columns such as id, name, date_of_birth, escape_attempts, neutered, and weight_kg.
Data Insertion (data.sql): Sample data is inserted into the "animals" table, representing four unique animals, each with its own set of attributes.
SQL Queries (queries.sql): A series of SQL queries are crafted to answer specific questions or "quests" related to the animals in the database. These queries extract valuable insights from the data.
Quests: The queries include tasks such as finding animals by name patterns, birth years, neutered status, escape attempts, weight ranges, and more.
Query Results: Screenshots of the results obtained from executing the SQL queries are included in the project to visually demonstrate the outcome of each quest.
This project is a practical exercise in working with databases, SQL, and data retrieval. It showcases the ability to design a database schema, populate it with data, and extract meaningful information through structured queries.
Database
- [Structured Database: Designed a well-organized PostgreSQL database called "vet_clinic" with a clear schema.]
- [Realistic Data: Populated the database with sample data that reflects actual animal clinic scenarios.]
- [Practical SQL Queries: Created SQL queries to extract specific information from the database, providing hands-on experience in database interaction and data retrieval.]
To get a local copy up and running, follow these steps.
In order to run this project you need:
Clone this repository to your desired folder:
Install this project with:
To run the project, execute the following command:
To run tests, run the following command:
You can deploy this project using:
👤 Hafizullah Rasa
- GitHub: @githubhandle
- Twitter: @twitterhandle
- LinkedIn: LinkedIn
- [Add more animals database]
- [Easy data retrieval]
- [Efficient data management]
Contributions, issues, and feature requests are welcome!
Feel free to check the issues page.
If you like this project, star the project if you like it
I would like to thank my mentor and my cod partners for support
This project is MIT licensed.