Welcome to the Capstone project! This repository contains a cloud-based analytics application designed for data visualization. It allows inexperienced users to explore CSV data effortlessly. The goal is to make data accessible and understandable for everyone.
The Capstone project aims to simplify data visualization for users who may not have a technical background. By utilizing a cloud-based platform, users can upload CSV files and generate visualizations without needing advanced skills. This project combines the power of machine learning with user-friendly design to deliver meaningful insights from data.
- User-Friendly Interface: Designed for non-technical users to easily navigate.
- Data Upload: Users can upload CSV files directly to the application.
- Visualizations: Generate various types of visualizations, including bar charts, line graphs, and scatter plots.
- Exploratory Data Analysis: Offers basic statistics and insights to help users understand their data.
- Cloud Storage: Utilizes Google Cloud Storage for secure data handling.
- Responsive Design: Works seamlessly on different devices, including desktops and tablets.
This project employs a range of technologies to deliver its functionality:
- Python: The core programming language for backend development.
- Flask: A lightweight web framework for building the application.
- HTML/CSS/JavaScript: For front-end development and creating an engaging user interface.
- Google Cloud Platform (GCP): For cloud hosting and data storage.
- Data Visualization Libraries: Libraries such as Matplotlib and Plotly for creating interactive graphs.
- Machine Learning: Utilized for advanced data analysis features.
To get started with the Capstone project, follow these steps:
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Clone the Repository:
git clone https://github.com/mohamed22441/Capstone.git cd Capstone -
Install Requirements: Make sure you have Python installed. Then, install the required packages:
pip install -r requirements.txt
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Set Up Google Cloud:
- Create a Google Cloud account if you don't have one.
- Set up a Google Cloud Storage bucket.
- Configure authentication and permissions for your application.
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Run the Application: Start the Flask server:
python app.py
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Access the Application: Open your web browser and go to
http://localhost:5000.
Once the application is running, users can follow these steps to visualize their data:
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Upload a CSV File: Click on the upload button and select your CSV file. Ensure the file is formatted correctly.
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Select Visualization Type: Choose the type of visualization you want to create. Options include bar charts, line graphs, and more.
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Generate Insights: Click on the "Generate" button to create your visualizations. The application will process your data and display the results.
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Download Visualizations: After generating visualizations, you can download them in various formats for your reports or presentations.
We welcome contributions to improve the Capstone project. If you want to contribute, please follow these steps:
- Fork the Repository: Click on the "Fork" button at the top right of the page.
- Create a Branch: Create a new branch for your feature or bug fix.
git checkout -b feature/your-feature-name
- Make Changes: Implement your changes and commit them.
git commit -m "Add your message here" - Push to Your Fork:
git push origin feature/your-feature-name
- Create a Pull Request: Submit a pull request for review.
This project is licensed under the MIT License. See the LICENSE file for details.
For any inquiries or issues, feel free to reach out:
- Author: Mohamed
- Email: mohamed22441@example.com
- GitHub: mohamed22441
For the latest updates and downloadable files, visit the Releases section. Here, you can find the latest versions and execute the necessary files for your setup.
Thank you for checking out the Capstone project! We hope this application helps you visualize your data in a simple and effective way. Your feedback and contributions are always welcome as we strive to improve the experience for all users.