HAVING-FUN-IN-HUMAN-FEEDBACK.GIT

Empowering insights, enhancing experiences, fostering growth.

Dashboard Preview

Here's a preview of the dynamic dashboard created with this project:

Table of Contents

• Overview
• Features
• Project Structure
  • Project Index
• Getting Started
  • Prerequisites
  • Installation
  • Usage
  • Testing
• Project Roadmap
• Contributing
• License
• Acknowledgments

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Overview

"Having-Fun-in-Human-Feedback.git is a dynamic project enhancing user experience through real-time insights and interactive data visualization. It streamlines database management, improves dashboard aesthetics, and empowers decision-making with metrics like passing rate. Ideal for developers seeking seamless integration and engaging interfaces for data-driven applications."

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Features

	Feature	Summary
⚙️	Architecture	Facilitates project dependencies and metadata management using Poetry in the codebase architecture.
🔩	Code Quality	Improves data visualization and interaction in the LLM application dashboard by dynamically fetching and displaying PostgreSQL data. Establishes database connections, retrieves and updates data based on user interactions, and calculates metrics like passing rate. Enhances user experience and provides real-time insights for decision-making.
📄	Documentation	Primary language is Python with additional files in toml, py, txt, and css. Enhances dashboard aesthetics and functionality by incorporating essential libraries for data visualization and manipulation. Improves user experience through seamless integration of FontAwesome icons, interactive Shiny elements, and advanced plotting capabilities with Seaborn and Pandas.
🔌	Integrations	Enhances dashboard aesthetics and functionality by incorporating essential libraries for data visualization and manipulation. Improves user experience through seamless integration of FontAwesome icons, interactive Shiny elements, and advanced plotting capabilities with Seaborn and Pandas.
🧩	Modularity	Define global styling variables for the dashboard interface, ensuring consistent design elements throughout the project. Reads penguin data from a CSV file for the dashboard. Generates a dynamic dashboard displaying Penguin data with interactive filter controls and visualizations.
🧪	Testing	Using pip, run pytest for testing.
⚡️	Performance	Fact 1 Fact 2 Fact 3
🛡️	Security	Fact 1 Fact 2 Fact 3
📦	Dependencies	Dependencies include pip, requirements.txt, pyproject.toml, python, css, seaborn, python-dotenv, pandas, shiny, faicons, jinja2, psycopg2.

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Project Structure

└── Having-Fun-in-Human-Feedback.git/
    ├── LICENSE
    ├── README.md
    ├── dashboard
    │   ├── app.py
    │   ├── penguins.csv
    │   ├── requirements.txt
    │   ├── shared.py
    │   └── styles.css
    ├── pyproject.toml
    └── test.py

Project Index

HAVING-FUN-IN-HUMAN-FEEDBACK.GIT/

__root__

pyproject.toml	Facilitates project dependencies and metadata management using Poetry in the codebase architecture.
test.py	- Improve data visualization and interaction in the LLM application dashboard by dynamically fetching and displaying PostgreSQL data - The code establishes database connections, retrieves and updates data based on user interactions, and calculates metrics like passing rate - This enhances the user experience and provides real-time insights for decision-making.

dashboard

requirements.txt	- Enhances dashboard aesthetics and functionality by incorporating essential libraries for data visualization and manipulation - Improves user experience through seamless integration of FontAwesome icons, interactive Shiny elements, and advanced plotting capabilities with Seaborn and Pandas.
styles.css	Define global styling variables for the dashboard interface, ensuring consistent design elements throughout the project.
shared.py	Reads penguin data from a CSV file for the dashboard.
app.py	- Generates a dynamic dashboard displaying Penguin data with interactive filter controls and visualizations - Calculates statistics like penguin count, average bill length, and depth - Allows user interaction to mark penguins as 'pass' or 'fail' and saves changes to a CSV file.

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Getting Started

Prerequisites

Before getting started with Having-Fun-in-Human-Feedback.git, ensure your runtime environment meets the following requirements:

• Programming Language: Python
• Package Manager: Pip

Installation

Install Having-Fun-in-Human-Feedback.git using one of the following methods:

Build from source:

1. Clone the Having-Fun-in-Human-Feedback.git repository:

❯ git clone https://github.com/Jeff-67/Having-Fun-in-Human-Feedback.git

2. Navigate to the project directory:

❯ cd Having-Fun-in-Human-Feedback.git

3. Install the project dependencies:

Using pip  

❯ pip install -r dashboard/requirements.txt

Usage

Run Having-Fun-in-Human-Feedback.git using the following command: Using pip  

❯ python {entrypoint}

Testing

Run the test suite using the following command: Using pip  

❯ pytest

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Project Roadmap

• Task 1: Implement feature one.
• Task 2: Implement feature two.
• Task 3: Implement feature three.

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Contributing

• 💬 Join the Discussions: Share your insights, provide feedback, or ask questions.
• 🐛 Report Issues: Submit bugs found or log feature requests for the Having-Fun-in-Human-Feedback.git project.
• 💡 Submit Pull Requests: Review open PRs, and submit your own PRs.

Contributing Guidelines

1. Fork the Repository: Start by forking the project repository to your github account.
2. Clone Locally: Clone the forked repository to your local machine using a git client.

   git clone https://github.com/Jeff-67/Having-Fun-in-Human-Feedback.git

3. Create a New Branch: Always work on a new branch, giving it a descriptive name.

   git checkout -b new-feature-x

4. Make Your Changes: Develop and test your changes locally.
5. Commit Your Changes: Commit with a clear message describing your updates.

   git commit -m 'Implemented new feature x.'

6. Push to github: Push the changes to your forked repository.

   git push origin new-feature-x

7. Submit a Pull Request: Create a PR against the original project repository. Clearly describe the changes and their motivations.
8. Review: Once your PR is reviewed and approved, it will be merged into the main branch. Congratulations on your contribution!

Contributor Graph

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License

This project is protected under the SELECT-A-LICENSE License. For more details, refer to the LICENSE file.

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Acknowledgments

• List any resources, contributors, inspiration, etc. here.

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