Welcome to the Visualization-Project repository. This project is designed to provide an interactive data visualization platform using Streamlit. You can view the live application here.
Visualization-Project is a web application that allows users to visualize a financial dataset in an intuitive, interactive and engaging manner. It utilizes Streamlit to create a simple and effective user interface that facilitates data exploration and analysis.
- Preprocesses stock data to include daily returns, moving averages, and seasonal information.
- Displays basic dataset information.
- Creates pie charts to visualize distribution by country, market, and region.
- Allows region-based filtering and displays bar charts for average daily returns by company, season, market, and country.
- Provides country-based filtering and displays bar charts for average daily returns by company, season, market, and country.
- Supports market-based filtering and displays bar charts for average daily returns by company, season, and country.
- Allows for company-specific analysis with interactive date range selection and multiple metric display options.
- Includes an interactive map to visualize sales volume by country over a selected date range.
- Python 3.7 or higher
- Streamlit
- Pandas
- GeoPandas
- Plotly
- Other dependencies listed in
requirements.txt
- Clone the repository:
git clone https://github.com/yourusername/visualization-project.git
- Navigate to the project directory:
cd visualization-project - Install the required packages:
pip install -r requirements.txt
To run the application locally, execute the following command:
streamlit run app.pyThis will start a local web server. Open your web browser and go to http://localhost:8501 to view the application.
The application is deployed and can be accessed at https://visualization-proyect.streamlit.app/. For deployment instructions, refer to the Streamlit deployment documentation.
This project is licensed under the MIT License. See the LICENSE file for more details.