https://github.com/peplxx/probability-explorer
Interactive web application for exploring and visualizing probability distributions
https://github.com/peplxx/probability-explorer
data-visualization distribution educational-tool matplotlib-pyplot probability statistics streamlit-app
Last synced: about 2 months ago
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Interactive web application for exploring and visualizing probability distributions
- Host: GitHub
- URL: https://github.com/peplxx/probability-explorer
- Owner: peplxx
- License: mit
- Created: 2024-11-17T16:31:11.000Z (11 months ago)
- Default Branch: master
- Last Pushed: 2024-11-17T17:51:07.000Z (11 months ago)
- Last Synced: 2024-11-17T18:42:18.467Z (11 months ago)
- Topics: data-visualization, distribution, educational-tool, matplotlib-pyplot, probability, statistics, streamlit-app
- Language: Python
- Homepage:
- Size: 86.9 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Probability Explorer 🌐
[](https://www.python.org/downloads/)
[](https://streamlit.io)
[](https://opensource.org/licenses/MIT)
[](https://github.com/peplxx/probability-explorer/stargazers)
[](https://github.com/peplxx/probability-explorer/issues)> Observe [multivariative normal distribution](https://en.wikipedia.org/wiki/Multivariate_normal_distribution) plot
> Observe [Multinomial distribution](https://en.wikipedia.org/wiki/Multinomial_distribution) plot
>Simulate [random walks](https://en.wikipedia.org/wiki/Random_walk) and observe their statistical properties
> Estimate π using [Monte Carlo method](https://en.wikipedia.org/wiki/Monte_Carlo_method)
An interactive web application for exploring and visualizing probability distributions. This tool helps users understand both continuous and discrete probability distributions through interactive plots, mathematical formulas, and key properties.
## Features
- Interactive plots for continuous and discrete distributions
- Real-time parameter adjustments
- Mathematical formulas and key properties
- Clean and intuitive interface## Installation
1. Clone the repository:
```bash
git clone https://github.com/peplxx/probability-explorer.git
```
2. Install uv:```bash
pip install uv
```3. Install dependencies:
```bash
uv sync
```4. Run the application:
```bash
uv run streamlit run main.py
```