Data-Cent is an interactive data visualization and management app built using Streamlit. It allows users to upload, analyze, and visualize datasets easily, providing a user-friendly interface for exploring data insights. Visit the Data-Cent Website to use the app directly online without any setup.
- Data Upload: Easily upload CSV files to the app for analysis.
- Interactive Visualizations: Generate a variety of charts and graphs, including line plots, bar charts, scatter plots, and more.
- Auto Filtering: Filtering is automatically done on the app for each visualisation.
- Statistical Analysis: Observe basic statistical analyses, such as mean, median, and standard deviation calculations.
- Downloadable Reports: Export your analysis and visualizations as downloadable reports.
- Python 3 or higher
- Streamlit
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Clone the repository:
git clone https://github.com/data-centt/Data-Analytics.git
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Navigate into the project directory:
cd Data-Analytics/app -
Install the required dependencies:
pip install -r requirements.txt
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Run the app locally:
streamlit run home.py
No installation is needed! Visit the Data-Cent Website to use the app directly in your browser.
- Launch the app locally or visit the Data-Cent Website.
- Upload your dataset using the "Upload" button.
- Use the sidebar to select data visualizations or analysis tools.
- Interact with the visualizations to explore your data.
- Download any generated reports or visualizations using the download buttons.
Include some screenshots of your app here to help users understand what to expect.
Here are some example screenshots of the Data-Cent app:
Contributions are welcome! Please fork the repository and submit a pull request with your changes. Ensure that your code follows the project's coding standards and includes appropriate comments for better understanding.
This project is licensed under the MIT License - see the LICENSE file for details.