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https://github.com/tushar2704/stats-mosaic-streamlit

Stats-Mosaic-Streamlit is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.
https://github.com/tushar2704/stats-mosaic-streamlit

artificial-intelligence bivariate-analysis data-analysis data-science hypothesis-testing machine-learning statistical-learning statistics streamlit streamlit-tushar2704 univariate-analysis

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Stats-Mosaic-Streamlit is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.

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README 

        
# Stats Mosaic Streamlit

## Deployment  [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://stats-mosaic-guide.streamlit.app/)



## Tech stack for Projects:    



![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)

![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B.svg?style=for-the-badge&logo=Streamlit&logoColor=white)

![CSS](https://img.shields.io/badge/CSS3-1572B6.svg?style=for-the-badge&logo=CSS3&logoColor=white)

![Canva](https://img.shields.io/badge/Canva-%2300C4CC.svg?style=for-the-badge&logo=Canva&logoColor=white)

![Plotly](https://img.shields.io/badge/Plotly-3F4F75.svg?style=for-the-badge&logo=Plotly&logoColor=white)

![Render](https://img.shields.io/badge/Render-46E3B7.svg?style=for-the-badge&logo=Render&logoColor=white)

![Markdown](https://img.shields.io/badge/markdown-%23000000.svg?style=for-the-badge&logo=markdown&logoColor=white)

![Visual Studio Code](https://img.shields.io/badge/Visual%20Studio%20Code-0078d7.svg?style=for-the-badge&logo=visual-studio-code&logoColor=white)

![Windows Terminal](https://img.shields.io/badge/Windows%20Terminal-%234D4D4D.svg?style=for-the-badge&logo=windows-terminal&logoColor=white)

![Supabase](https://img.shields.io/badge/Supabase-3FCF8E.svg?style=for-the-badge&logo=Supabase&logoColor=white)

![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)



Stats Mosaic is a professional Streamlit application designed to help users explore and visualize important statistical topics with interactive and informative visuals. Whether you're a data enthusiast, student, or professional, Stats Mosaic provides a comprehensive overview of various statistical concepts.

![Screenshot 2024-01-13 191931](https://github.com/tushar2704/Stats-Mosaic-Streamlit/assets/66141195/94acbf6b-e700-4ecd-8e27-5c3d3332249c)

![chrome_SNMStZzShw](https://github.com/tushar2704/Stats-Mosaic-Streamlit/assets/66141195/4646ef17-d37f-4111-835f-56787c948802)

![chrome_OenSnzUdcf](https://github.com/tushar2704/Stats-Mosaic-Streamlit/assets/66141195/b10dad80-b00d-4a4b-98f1-47763a2022f6)



## Features



- **Interactive Visualizations:** Explore a wide range of statistical topics through interactive charts and graphs.

- **Educational Content:** Each visualization is accompanied by clear explanations to help users understand the statistical concepts.

- **Customization:** Tailor the visuals to your needs by adjusting parameters and exploring different aspects of the data.

- **User-Friendly Interface:** A user-friendly interface ensures that users can navigate the application effortlessly.



* ## Theory: 

 Explore in-depth discussions and explanations of statistical concepts, methodologies, and techniques.

 * [General Terms in Statistics](https://github.com/tushar2704/Statistical-Minds/tree/main/General%20Terms%20in%20Statistics)

 * [STATISTICS 101](https://github.com/tushar2704/Statistical-Minds/tree/main/STATISTICS%20101)

 * [Data Sampling](https://github.com/tushar2704/Statistical-Minds/tree/main/Data%20Sampling)

 * [Central Tendency](https://github.com/tushar2704/Statistical-Minds/tree/main/Central%20Tendency)

 * [Measure of Spread](https://github.com/tushar2704/Statistical-Minds/tree/main/Measure%20of%20Spread)

 * [Measure of Position](https://github.com/tushar2704/Statistical-Minds/tree/main/Measure%20of%20Position)

 * [Odds & Probability](https://github.com/tushar2704/Statistical-Minds/tree/main/Odds%20%26%20Probability)

 * [Comparing Proportion](https://github.com/tushar2704/Statistical-Minds/tree/main/Comparing%20Proportion)

 * [Hypothesis Test](https://github.com/tushar2704/Statistical-Minds/tree/main/Hypothesis%20Test)

 * [Regression & Correlation](https://github.com/tushar2704/Statistical-Minds/tree/main/Regression%20%26%20Correlation)

 * [Clustering Analysis](https://github.com/tushar2704/Statistical-Minds/tree/main/Clustering%20Analysis)

 * [T-Test](https://github.com/tushar2704/Statistical-Minds/tree/main/T-Test)

 * [Z-Test](https://github.com/tushar2704/Statistical-Minds/tree/main/Z-Test)

 






## Feedback and Support

 We appreciate your feedback and encourage you to reach out if you have any questions, suggestions, or ideas for improvement. You can submit an issue in the repository or contact us directly via email at `[email protected]`.

## Author  

- [©2023 Tushar Aggarwal. All rights reserved](https://www.tushar-aggarwal.com/)

- [LinkedIn](https://www.linkedin.com/in/tusharaggarwalinseec/)

- [Medium](https://medium.com/@tushar_aggarwal) 

- [Tushar-Aggarwal.com](https://www.tushar-aggarwal.com/)

- [X](https://twitter.com/TaggData) 

- [Data Unboxed Newsletter](https://tadata.substack.com/) 

- [HuggingFace](https://huggingface.co/tushar27) 

- [DagsHub](https://dagshub.com/tushar27) 

- [Hashnode](https://hashnode.com/@TAGG) 

- [NovyPro](https://www.novypro.com/profile_projects/tusharagg) 

- [New Kaggle](https://www.kaggle.com/tagg27) 



## License

 >This repository is licensed under the MIT License. Please review the license file for more information on permissions and usage.[MIT License](LICENSE)