Studying the relationship between GDP and Life Expectancy provides valuable informed decisions that could help to shape policices and help populations in these areas.
Countries data include: Chile, China, Germany, Mexico, United States, and Zimbabwe.
- Has life expectancy increased over time in the six nations?
- Has GDP increased over time in the six nations?
- Is there a correlation between GDP and life expectancy of a country?
- What is the average life expectancy in these nations?
- What is the distribution of that life expectancy?
Using Jupyter Notebook to open .py files.
Using data provided by all_data.csv. The dataset provided has the following columns of data:
- Country - nation
- Year - the year for the observation
- Life expectancy at birth (years) - life expectancy value in years
- GDP - Gross Domestic Product in U.S. dollars
If you encounter any issues or have suggestions for improvements, please open an issue on the Issues page.
- 'life_expectancy_gdp.ipynb': main notebook with analysis of topics.
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Fork the repository: Click on the "Fork" button on the top right corner of this page. This will create a copy of the project in your GitHub account.
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cd your-repository git checkout -b feature-branch
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Make your changes: Implement your changes or addtions to the notebook.
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Commit your changes Commit your changes with a descriptive commit message.
git commit -m "Add feature or addtion"
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Push to your fork: Push your changes to your forked repository on GitHub.
git push origin feature-branch
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Create a Pull Request: Open a Pull Request (PR) on the original repository. Clearly describe your changes and why they should be merged.