Data Explore Web App using Streamlit

Authors

Group 6:

• Anna Roy (24886234)
• Sangmeshwar Kanaje (24896538)
• Savanth Nair (24891626)
• Junjie Zou (14360945)

Description

This application allows users to upload and explore data through a user-friendly web interface. Built with Streamlit, it simplifies data analysis tasks, offering intuitive insights into uploaded datasets. Challenges faced included handling various data types and creating a responsive user interface. Future enhancements may include advanced data visualization tools and machine learning capabilities for predictive analysis.

How to Setup

To set up this project:

1. Ensure you have Python 3.9 installed.
2. Clone the repository to your local machine.
3. Install dependencies using pip install -r requirements.txt in your project directory.

Python Version

• Python 3.9

Packages and Versions

• Streamlit 1.8.0
• Pandas 1.3.5
• Numpy 1.21.4

How to Run the Program

To run the program:

1. Navigate to the project directory.
2. Run streamlit run app.py.
3. Open a web browser and go to the local server address provided by Streamlit.

Project Structure

• /app.py: The main Streamlit application script.
• /requirements.txt: Lists all the necessary Python packages.
• /CSV: Folder for sample CSV files.
• /tab_num and /tab_df and /tab_date and tab_text: Contains utility scripts for data processing.
• /display.py: This script handles the user interface elements of the application. It includes functions for displaying data tables, charts, and other visual elements in the Streamlit app.
• /logic.py: Contains the core logic and data processing functions. It includes methods for data analysis, manipulation, and computations that are called by the Streamlit interface.
• /README.md: This documentation.

Citations

• Streamlit Documentation: https://docs.streamlit.io/library/api-reference/charts
• Pandas Documentation: https://pandas.pydata.org/docs/
• GitHub : https://docs.github.com/

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