This project conducts an exploratory study on NASA astronauts using Python and SQL. The analysis aims to unveil insights into the diverse world of astronauts, their missions, and achievements. Python is utilized for data analysis and visualization, while SQL is employed to extract valuable information from the dataset.
Objective: Understand the dataset's structure, variables, and relationships. Impact: Provides a foundation for subsequent analyses, ensuring a comprehensive understanding of the data before diving into specific questions.
Objective: Leverage Python for in-depth analysis and visualization. Impact: Python facilitates the exploration of astronaut demographics, mission patterns, and other key factors. Visualizations enhance the communication of findings.
Objective: Extract specific information from the dataset using SQL. Impact: SQL queries enable efficient extraction of targeted data, supporting detailed analysis and exploration of astronaut profiles and mission details.
We extend our gratitude to NASA for providing this invaluable dataset. Special thanks to the open-source community, Python, and SQL for enabling us to unveil the stars through data exploration. May this project continue to inspire curiosity and contribute to the remarkable narrative of human exploration.