The SpaceX Falcon9 Flight Data Analysis project is a data analysis project written in Python and performed in Jupyter Notebooks. The project uses data from SpaceX's Falcon9 flights to predict future flight success and discover what variables affect flight success. The data used for the analysis was obtained from SpaceX's API and Wikipedia entry.
To use the SpaceX Falcon9 Flight Data Analysis project, follow these steps:
Clone this repository: git clone https://github.com/ShakirMA/Space-X-Launchpad-Analysis.git Navigate to the project directory: cd Spacex-X-Launchpad-Analysis Install the required dependencies: pip install -r requirements.txt Launch the Jupyter Notebooks: jupyter notebook
The project consists of several Jupyter Notebooks that perform different aspects of the data analysis. The notebooks are organized in the following manner:
01_data_collection API.ipynb - collects data from SpaceX's API and stores it in a SQL database (IBM's db2).
02_data_collection_Webscrapping.ipynb - collects data from SpaceX's Wikipedia entry and stores it in a SQL database (IBM's db2).
03_data_wrangling.ipynb - cleans and preprocesses the collected data.
04_SQL_EDA.ipynb - performs exploratory data analysis SQL queries.
05_Exploratory_Data_Analysis_Visualization.ipynb - performs the data analysis, including exploratory data analysis and hypothesis testing.
06_ML_Modelling.ipynb - performs predictive modeling.
07_Dashboard_folium.ipynb - creates visualizations to help communicate the results of the data analysis using an interactive dashboard.
To use the notebooks, launch Jupyter Notebook and navigate to the project directory. Click on the desired notebook to open it and follow the instructions provided within the notebook.
The combined results were presented in a pdf file: SPACEX_LAUNCHPAD_ANALYSIS.pdf
The data used in this project was obtained from the following sources:
SpaceX API - https://api.spacexdata.com/v4/rockets/
SpaceX Wikipedia entry - https://en.wikipedia.org/wiki/List_of_Falcon_9_and_Falcon_Heavy_launches
The SpaceX Falcon9 Flight Data Analysis project requires the following dependencies:
pandas numpy matplotlib dash folium sklearn requests beautifulsoup4
These dependencies are listed in the requirements.txt file and will be installed when you run pip install -r requirements.txt.
The SpaceX Falcon9 Flight Data Analysis project is licensed under the MIT license. See the LICENSE file for more information.