Project 1: Streamlit Magic Cheat Sheets
In the scope of this project, I have meticulously crafted comprehensive cheat sheets encompassing all aspects of Streamlit within a single Streamlit application. These cheat sheets are available in English, Français, and Deutsch, ensuring accessibility for a diverse audience. The application comprises over 15,000 lines of code, featuring custom functions meticulously designed to elucidate the visual output of the code snippets. Additionally, a robust documentation framework has been established to provide users with clear insights and guidance throughout their interaction with the application.
Project 2: 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.
Superstore Sales with Streamlit is a data visualization and analysis project that uses the Streamlit framework to create an interactive web application for exploring and analyzing sales data from a superstore. This project aims to provide an easy-to-use interface for users to gain insights into sales trends, Sales performance, product performance, Shippin analysis and Location analysis.
- Streamlit: Streamlit is the backbone of this portfolio, enabling seamless integration of interactive data apps into a web interface.
- Python: Python is used for scripting and data analysis in all the projects showcased here.
- [Other Technologies]: Mention any other relevant technologies or libraries used in respective projects.