- Introduction
- Technologies Used
- Getting Started
- Data Retrieval and Cleaning
- Data Analysis
- Results
- Future Work
- Contributing
- License
Helicopter prison escapes have been a dramatic occurrence in the history of prison breaks. This project aims to delve into the data surrounding these escapes, providing insights into patterns, trends, and factors contributing to their occurrence.
- Python
- BeautifulSoup
- Pandas
- Matplotlib
To run the analysis locally, ensure you have Python installed on your machine along with the required libraries mentioned above. You can clone the repository to your local machine using the following command:
Claro, aqui está o README completo em um único prompt:
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- Introduction
- Technologies Used
- Getting Started
- Data Retrieval and Cleaning
- Data Analysis
- Results
- Future Work
- Contributing
- License
Helicopter prison escapes have been a dramatic occurrence in the history of prison breaks. This project aims to delve into the data surrounding these escapes, providing insights into patterns, trends, and factors contributing to their occurrence.
- Python
- BeautifulSoup
- Pandas
- Matplotlib
To run the analysis locally, ensure you have Python installed on your machine along with the required libraries mentioned above. You can clone the repository to your local machine using the following command:
git clone https://github.com/mthaugusto/Prison-Break-Analysis.git
The data for this analysis was retrieved from the List of helicopter prison escapes Wikipedia article using web scraping techniques. The data was then cleaned and preprocessed to remove any inconsistencies or irrelevant information.
The analysis includes visualizations of trends over time using Matplotlib. Additionally, the most commonly involved countries are identified and analyzed.
Insights from the analysis include trends in helicopter prison escapes over time and the countries most commonly involved in such escapes.
Future work on this project could include expanding the dataset to include more recent helicopter prison escapes and conducting more in-depth analysis to identify potential patterns or correlations.
Contributions to this project are welcome. Feel free to open an issue or submit a pull request with any improvements or suggestions.