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Developed from scratch, it leverages powerful libraries such as Pandas, Matplotlib, Seaborn, and Streamlit to meticulously extract, analyze, and visualize COVID-19 data alongside happiness metrics from the Worldwide Happiness Report.\n\n### Technology Used\n**Python**: The core programming language used for the application.\n**Pandas**: For data manipulation and analysis.\n**Matplotlib**: For creating detailed visualizations.\n**Seaborn**: For advanced data visualization.\n**Streamlit**: For building and deploying the interactive web application.\n\n### Features\n**COVIDTrends** offers a comprehensive suite of features to analyze COVID-19 data:\n\n**Time Series Visualization**: Plot confirmed COVID-19 cases over time for selected countries.\n**Maximum Infection Rates**: Calculate and display maximum daily infection rates for different countries.\n**Correlation Analysis**: Visualize and analyze the correlation between COVID-19 infection rates and happiness metrics such as GDP per capita, social support, healthy life expectancy, and freedom to make life choices.\n\n### Deployment\n**COVIDTrends** is deployed using Streamlit, a platform designed for creating and sharing data applications. The interactive and user-friendly interface provided by Streamlit makes analyzing COVID-19 data seamless and enjoyable.\n\n### Contributions\nWe welcome contributions! If you wish to contribute to COVIDTrends, feel free to fork the repository, make your changes, and submit a pull request.\n\n### Acknowledgements\nWe extend our gratitude to the developers of the libraries used in this project, including Pandas, Matplotlib, Seaborn, and Streamlit.\n\n### Privacy\nCOVIDTrends ensures your privacy by not storing any uploaded data. All analyses are performed in real-time on your local session, ensuring your data remains secure.\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpreranarao03%2Fcovid19-data-analysis-using-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpreranarao03%2Fcovid19-data-analysis-using-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpreranarao03%2Fcovid19-data-analysis-using-python/lists"}