1. Introduction
2. Project Contributors
3. Project Description
4. Getting Started
5. Technical Details

This project, developed as part of the UE Python2, presents a Streamlit-based Covid19 Dashboard. The dashboard allows users to track the progression of Covid-19 cases over time for selected countries, with options to customize the display.

Streamlit, the foundational technology behind this application, is an open-source Python library designed for creating interactive web applications effortlessly. It empowers data scientists and developers to transform data, visualizations, and analyses into user-friendly web applications with minimal code. By integrating Streamlit, this project provides a user-friendly interface for monitoring Covid-19 cases, making it accessible and informative !

• BENRADHIA Takwa
• BENYAKHLAF Dounia
• LAM Louise
• TOUAMI Essmay

The Streamlit Covid Dashboard provides the following functionalities:

1. Country Selection: Users can choose one of the following countries: France, Italy, Germany, Sweden, Spain, or England.

2. Color Selection: Users can customize the color of the line chart representing the Covid-19 cases' evolution.

3. Date Range Selection: Users can specify the start and end dates for visualization.

4. Visualization: The application uses Matplotlib to display the Covid-19 cases' evolution over time for the selected country.

To watch a demonstration of the project, view our demo video on Canva.

To run the application, follow these steps:

1. Clone this repository.

   git clone <https://github.com/Louise-coder/streamlit-covid>

2. Install Required Libraries

   pip install streamlit pandas matplotlib folium streamlit_folium # with pip
   conda install -y streamlit pandas matplotlib folium streamlit_folium # with conda mais tout marche pas...

3. Run the Application.

Navigate to the project directory in your terminal and execute the following command:

streamlit run src/demo.py

After running the above command, a new browser window will open, and you'll be able to interact with the Streamlit Covid Dashboard.

Alternatively, you can access the application directly via the following Streamlit link:

• Python Version: 3.10
• Streamlit Version: 1.28.0
• Matplotlib Version: insert_latest_version_here
• Pandas Version: insert_latest_version_here

👋 Explore the latest Covid-19 data with our Streamlit Covid19 Dashboard and stay informed effortlessly !