Metaversity on the Internet Computer Phase I: Data Science Pipeline For Academic Research & Web 3.0 Education
Feature GitHub: Comprehensive Overview of Connecting Web3 to Web2 Database and Interactive Dashboards leveraging the Internet Computer Protocol (ICP) NNS Governance System.
- Advancing Web3 literacy and diversity with a streamlined data pipeline, integrating robust databases, interactive visualizations, and accessible open-source tools
- Empowering Web3 Literacy and Inclusivity Through Streamlined Data Pipelines and Interactive Visualizations
- Education, Academia, Web3, Diversity and Inclusion, Database.
Repository: icp-nns-db
Readme Snippet:
The Internet Computer Protocol NNS Governance System Database offers a comprehensive framework for establishing a database-centric development environment, detailing the setup of local environments, data fetching from blockchain, and more.
Key Features:
- Tools for setting up local environments and fetching data.
- Management of data in formats like CSV, pickle, and JSON.
- Database setups with SQLite, MySQL, PostgreSQL.
- Kaggle's Data Explorer for ICP NNS Proposals dataset.
Repository: icp-nns-summary
Dashboard: ICP NNS Governance System Explorer: Summary
Readme Snippet:
Interactive application built using Dash and Dashtools, exploring governance data of the Internet Computer protocol. Provides a framework for creating and deploying Dash applications.
Repository: icp-nns-explorer-actions
Dashboard: ICP NNS Governance System Explorer: Actions
Focuses on visualizing proposal actions in the ICP NNS Governance System.
Repository: icp-nns-explorer-functions
Dashboard: ICP NNS Governance System Explorer: Functions
Concentrates on visualizing proposal functions in the ICP NNS Governance System.
Repository: icp-nns-explorer-topics
Dashboard: ICP NNS Governance System Explorer: Topics
Specializes in visualizing proposal topics in the ICP NNS Governance System.
Dataset Demonstration on Kaggle:
ICP NNS Proposals Dataset
A comprehensive Kaggle dataset demonstration, showcasing practical applications and insights derived from the database.