Space Mission Launches Dataset Cleaning and Analysis

Overview

This repository focuses on cleaning and analyzing the Space Mission Launches dataset, sourced from Kaggle. The project provides a structured workflow for cleaning the original dataset, performing exploratory data analysis, and creating insightful visualizations.

Repository Structure

• starting_file/: Contains the original dataset from Kaggle.

  • mission_launches.csv: The raw data file downloaded from Kaggle.

• starting_file_analysis/: Contains Jupyter Notebook for cleaning and transforming the starting file.

  • mission_launches_df.ipynb: Jupyter Notebook documenting the process of importing the starting file, cleaning, and analyzing it, and exporting the cleaned dataset.

  • cleaned_starting_file/: Contains the cleaned dataset exported from the Jupyter Notebook.

  • mission_launches_df_cleaned.csv: The cleaned and processed dataset, ready for analysis.

• graphs/: Contains Jupyter Notebook for data analysis and visualizations.

  • graphs.ipynb: Jupyter Notebook documenting the process of cleaning and transforming the starting file, and creating visualizations.
  • price_over_years.png: A picture of one of the visualizations.

Usage

Explore the cleaned dataset and leverage the insights gained from the analysis. The Jupyter Notebook serves as a comprehensive guide, providing transparency into the data cleaning and visualization processes.