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:
Attorney:
Software Engineer:
Financial Analyst:
Psychologist:
Experienced Folks, listen up 📢 🏫 🌍
Looking at becoming Partner? :
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