Intro to QubiCSV: Overview & Features

Welcome to QubiCSV: Data Storage & Visualization

Thank you for choosing QubiCSV!

Purpose: QubiCSV is dedicated to assisting scientists in efficiently managing and visualizing calibration file records. Our platform is designed to offer valuable insights through calibrated data and long-term monitor data visualizations.

Key Features:

  1. Calibration Data Management:

    • Utilizes Dolt Database, a data versioning system akin to Git but for databases.

    • Enables creation of branches, committing changes, and more, facilitating effective version control.

  2. Long-Term Monitor Data Management:

    • Managed by MongoDB, ensuring robust and scalable data handling.

  3. Dual Interface Accessibility:

    • Offers both a Jupyter Notebook and a Web Platform, catering to diverse user preferences.

  4. Advanced Visualization Tools:

    • Implemented using Plotly.js.

    • Features include zoom-in/out, panning, and screenshot capabilities for a comprehensive data analysis experience.

Support and Feedback: We are committed to continuously improving QubiCSV. If you encounter any issues or have suggestions, please don't hesitate to reach out to us.

Overall Project

  1. This flowchart guides users through a structured process to select an interface and data type for storage. It starts with choosing between a Jupyter Notebook and a Web Platform, followed by selecting data for either calibration or long-term monitoring. The final steps involve uploading data to either a versioning database or a database for unstructured data, ensuring organized data management and retrieval.

Want to dive deep?

  1. This detailed user flow diagram outlines the full range of features and navigational choices available to users. It guides users from the initial decision between data storage and visualization, through the process of selecting specific data types and visualization criteria, to the final step of viewing their data. The diagram details each stage of interaction, from choosing an interface and uploading data in JSON format, to visualizing the data based on commit history or specific properties. It's a comprehensive roadmap for users to understand and utilize all the functionalities of the system

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