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A package for cleaning data frames.

Project description

Data Cleaner

Data Cleaner 🧹 is a Python package created to simplify cleaning data frames from DoL Performance Data. As an international student juggling campus jobs, adjusting to a new culture, and pushing through a master’s program, life can get super busy. 🏫🌍

That’s why I built this package—to help others save time ⏳ and focus on what really matters: landing that dream job 🎯. With this tool, you can easily type in the job you’re aiming for and get a detailed comparison of companies, roles, and locations that match your needs.

At the heart of it 💙, this package is all about cutting down the hours spent cleaning through massive datasets so you can focus on making informed, life-changing decisions 🔑 for your future! 🚀 PS: Experienced folks can work their way too because H1b's are issued to everyone.

Installation

You can install the package using pip:

pip install h1b-processor

from clean_h1b import data_cleaner

# Create an instance of data_cleaner
processor = data_cleaner(keywords = 'data')

# Process the DataFrame
processed_df = processor.process()

# Display the processed DataFrame
print(processed_df)

#if you want csv, then:
processed_df.to_csv('outputfile.csv')

# Display the processed DataFrame
print(processed_df) #optional

Some examples are:

Physician: image

Attorney: image

Software Engineer: image

Financial Analyst: image

Psychologist: image

Experienced Folks, listen up 📢 🏫 🌍

Looking at becoming Partner? : image

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