Little Data Science Project

Project Overview

This project involves scripts that create a panda DataFrame from internship data. The primary source of this data is the intern repository by Pitt CSC & Simplify. This project aims to parse and analyze internship listings, extracting valuable insights such as company names, job titles, locations, and application dates.

Features

Data Parsing: Scripts to parse internship listings from HTML content.
Data Analysis: Analyze the listings to extract insights such as most common locations, companies hiring, etc.
Visualization: Generate visualizations for the analyzed data.
CSV Export: Capability to export parsed data into CSV format for further analysis.

Files Description

InternTable.py: Python script containing the logic to parse internship listings and generate a DataFrame.
main.py: The main entry point of the project, orchestrating the parsing and analysis.
short_script.html, table.html: HTML files used as data sources for the parsing scripts.
Under the records directory, 2024-03-16.csv, 2024-03-17.csv: CSV files containing processed data from the project.

Setup

Ensure you have Python installed on your system.

Install required libraries:

pip install pandas beautifulsoup4 matplotlib

Clone the repository to your local machine.
Run the main script:
```
python main.py
```

How to Use

Modify main.py to point to the specific HTML or CSV files you wish to parse and analyze.
Run main.py to see the output DataFrame in your console or to export it as a CSV file.

Contributing

Contributions to this project are welcome! Whether it's adding new features, fixing bugs, or improving documentation, your help is appreciated.

License

This project is open source, feel free to use it for any legal purpose.

tchan102 / little_data_science_project