MarkusHenriksson13/my-new-repo

🦄 Mega Streamlit App 🎉

Welcome to the Mega Streamlit App—a powerhouse of interactive features, real-time data, and all-around awesomeness! Whether you want to track cryptocurrency prices, edit DataFrames on the fly, or see how many people are voting for "Option D" (spoiler: no one ever does), this app has you covered.

🚀 Table of Contents

• Introduction
• Features
• Installation
• Usage
• Pages Overview
• Folder Structure
• Contributing
• License
• Contact

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🌟 Introduction

The Mega Streamlit App is a multi-page Streamlit application that demonstrates the endless possibilities of this framework. With everything from a to-do list manager to real-time cryptocurrency tracking, you'll never be bored!

Explore a rich dataset like the Stanford Policing Dataset or just marvel at the sheer brilliance of tracking weather in two fictional cities. Whatever your heart desires, we have it!

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🔥 Features

• DataFrame Editor: Edit tables in real-time like a data wizard.
• Cryptocurrency Price Tracker: Keep tabs on Bitcoin, Ethereum, and some random altcoins!
• To-Do List Manager: Because we all need to pretend we’re productive.
• Voting System: Make democracy fun again with real-time voting and live results.
• Weather Visualization: Want to compare the weather in two totally made-up cities? Now you can!
• Stanford Policing Dashboard: Dive deep into data analysis with interactive charts and filters. Warning: serious data ahead!
• Random Coding Project Generator: Feeling uninspired? Let the app throw a project at you—ranging from "easy as pie" to "prepare for all-nighters!"

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💻 Installation

Want to run this bad boy on your own machine? Follow these steps:

1. Clone the repository:

   git clone https://github.com/CNielsen94/my_streamlit_app.git
   

2. Navigate to the project directory:

   cd my_streamlit_app
   

3. Set up a virtual environment (optional but highly recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use: venv\Scripts\activate
   

4. Install the dependencies:

   pip install -r requirements.txt
   

5. Run the app:

   streamlit run app.py
   

6. Open your browser: Visit http://localhost:8501 and enjoy!

🕹 Usage

• Navigate the app: Use the sidebar to explore different sections of the app.
• Add tasks: Manage your tasks using the interactive To-Do List Manager.
• Track crypto: Check real-time (simulated) cryptocurrency prices.
• Cast your vote: Participate in the ongoing voting system—your vote matters (well, kinda)!
• Visualize data: Explore the Stanford Policing Dataset using filters and charts to slice and dice the data.

📚 Pages Overview

1️⃣ Introduction Page
An introduction to the app and its various features. Sit back, relax, and get ready for the ride!

2️⃣ DataFrame Editor
Want to feel like a true data master? Use this page to edit a DataFrame live! Comes pre-loaded with the thrilling professions of Alice, Bob, and Charlie.

3️⃣ Cryptocurrency Price Tracker
Tired of checking your crypto portfolio every five seconds? This page lets you simulate real-time crypto prices—now you can pretend you're rich without all the stress!

4️⃣ To-Do List Manager
A simple and intuitive task manager. Add tasks, check them off, and feel good about accomplishing something (even if it's just pretending to).

5️⃣ Voting System
Cast your vote on various options and see live results! Perfect for that "which pizza topping is best" argument.

6️⃣ Weather Data Visualization
Visualize temperature and humidity data for two fictional cities (because why not?).

7️⃣ Stanford Policing Dataset Dashboard
For the serious data heads. Explore the Stanford Policing Dataset with interactive visualizations and filters, diving into demographics, stop outcomes, and more.

8️⃣ Random Coding Project Generator
Stuck in a coding rut? This page will throw random project ideas at you—whether you're just waking up or in full "I’m gonna conquer the world" mode. From baby steps to hardcore challenges, there's something for everyone!

📁 Folder Structure

my_streamlit_app/
│
├── app.py                # Main Streamlit app
├── pages/                # Contains individual page scripts
│   ├── 1_introduction.py
│   ├── 2_DataFrame_Editor.py
│   ├── 3_Crypto_Tracker.py
│   ├── 4_ToDo_List.py
│   ├── 5_Voting_System.py
│   ├── 6_Weather_Visualization.py
│   └── 7_Stanford_Policing.py
├── requirements.txt      # Dependencies
├── README.md             # This file!
└── ...

💡 Contributing

Feel like adding more awesomeness to this app? You're in luck! To contribute:

1. Fork the repo. Yes, claim it as your own (kind of).

2. Create a new branch:

   git checkout -b feature-new-feature
   

3. Make your changes and commit them like a coding rockstar:

   git commit -m "Added the coolest feature ever!"
   

4. Push to your branch (because the main branch isn't ready for this level of greatness):

   git push origin feature-new-feature
   

5. Open a Pull Request and watch the magic unfold!

📜 License

Licensed under the MIT License. See the LICENSE file for more details. If you don't like the license, well... good luck changing it! 😄

📞 Contact

Having issues? Suggestions? Feel free to contact your local code monkey (or just send a GitHub issue). For all other inquiries, throw your error logs out the window, because that's how we deal with bugs around here!

🎉 Enjoy the Mega Streamlit App and stay productive (or at least make it look like you are)! 🎉