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Data Cleaning and Transformation
The Glassdoor Job Posting 2024 dataset has a variety of data categories that necessitate different cleaning and processing approaches:
Numeric data: salary_avg_estimate, company_rating, and ratings columns (for example, career_opportunities_rating).
Categorical data include company, job title, location, employment type, industry, sector, and state.
Text data: Job description, responsibilities, and skills.
Date/Time information: Company_founded.
Location is a spatial data type.
Cleaning and modifying various data formats entails dealing with missing values, outliers, formatting issues, and special considerations such as encoding categorical variables, extracting features from text, handling dates, and even geocoding places.
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