Project Name: SpaceX Data Analysis

Overview: This project is part of the IBM Data Science Professional Certificate and focuses on analyzing SpaceX data. The dataset provides valuable information about SpaceX missions, rockets, and launches. The goal of this project is to explore, analyze, and visualize the data to gain insights into SpaceX's activities and achievements.

Data Source: The dataset used in this project is obtained from the IBM Data Science Professional Certificate course. It includes detailed information about SpaceX missions, rockets, and launches.

Tools and Libraries:

Python, Jupyter Notebook, Pandas, Matplotlib, Seaborn

Analysis: The project involves the following analyses:

Exploratory Data Analysis (EDA) of SpaceX data Visualization of launch success/failure trends over time Comparison of different rocket types and their performance Examination of mission outcomes and objectives

Results: The analysis provides insights into SpaceX's performance, mission success rates, and the evolution of its rocket technology over time. Visualization of the data helps in understanding the trends and patterns in SpaceX's operations.

Conclusion: The project concludes with a summary of the key findings and insights derived from the analysis of the SpaceX dataset.

Contributors: Brenden T Sithole

License: This project is licensed under the MIT License - see the LICENSE.md file for details.