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https://github.com/miteshgupta07/covid-19-report-dashboard-using-streamlit
A Streamlit dashboard for COVID-19 reporting that provides real-time updates, visualizations, and analysis of global and local COVID-19 data to track the pandemic's progress and impact.
https://github.com/miteshgupta07/covid-19-report-dashboard-using-streamlit
data-visualization python streamlit
Last synced: 3 days ago
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A Streamlit dashboard for COVID-19 reporting that provides real-time updates, visualizations, and analysis of global and local COVID-19 data to track the pandemic's progress and impact.
- Host: GitHub
- URL: https://github.com/miteshgupta07/covid-19-report-dashboard-using-streamlit
- Owner: miteshgupta07
- License: mit
- Created: 2024-01-01T06:32:28.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-30T14:36:21.000Z (3 months ago)
- Last Synced: 2024-12-28T03:27:46.103Z (about 2 months ago)
- Topics: data-visualization, python, streamlit
- Language: Python
- Homepage:
- Size: 239 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# Covid-19 Report Dashboard
The Covid-19 Report Dashboard using Streamlit is a data visualization project that leverages Streamlit, a Python library for creating web applications with minimal effort. This dashboard provides an interactive and user-friendly way to explore and analyze Covid-19 data, offering insights into the global pandemic.
**Deployed Version:** You can access the live version of the dashboard on the Streamlit platform [here](https://covid-19-report-dashboard.streamlit.app/).
## Features
- **Interactive Visualization:** Utilizes Streamlit to create dynamic and responsive charts and graphs.
- **Filtering and Sorting:** Allows users to filter and sort data based on various parameters.
- **User-Friendly Interface:** Simple and intuitive interface for users to navigate and explore the data.
## Dashboard Screenshot
## Prerequisites
- Python 3.8
- Dependencies List:
- **Streamlit:** A framework for creating web applications easily with Python.
- Install: `pip install streamlit`
- Purpose: Used to build the interactive web interface for the application.
- **Pandas:** A powerful data manipulation and analysis library.
- Install: `pip install pandas`
- Purpose: Used for handling and processing structured data.
- **Matplotlib:** A comprehensive library for creating static, interactive, and animated plots.
- Install: `pip install matplotlib`
- Purpose: Essential for generating various types of plots and charts.
- **mplcyberpunk:** A Matplotlib style for creating cyberpunk-style plots.
- Install: `pip install mplcyberpunk`
- Purpose: Used for adding cyberpunk aesthetics to Matplotlib plots.
## Acknowledgements
- **Streamlit:** Special thanks to the Streamlit development team for creating an easy-to-use framework for building data applications.
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- **Pandas:** A powerful data manipulation and analysis library for Python. Special thanks to the Pandas development team for providing essential tools for handling structured data.
- **Matplotlib:** A comprehensive data visualization library for creating static, animated, and interactive plots in Python. Gratitude to the Matplotlib contributors for enabling insightful visualizations.
- **mplcyberpunk:** A Matplotlib style inspired by cyberpunk aesthetics, adding a futuristic and vibrant look to your visualizations. Thanks to [mplcyberpunk](https://github.com/dhaitz/mplcyberpunk) for contributing to the project's visual appeal.
- **Covid-19 Data Providers:** Gratitude to the organizations providing reliable and up-to-date Covid-19 data.
## Contact
Email : [email protected]
Linkedin : https://www.linkedin.com/in/mitesh-gupta/
Twitter : https://twitter.com/mg_mitesh