Cleaning messy CSVs without pandas: 3 tiny no-install scripts

1. 1Run a script to remove stray whitespace from CSV cells using Python's built-in csv module
2. 2Use a script to eliminate duplicate rows by leveraging Python's set data structure
3. 3Apply a script to standardize inconsistent data formats, such as date or timestamp fields, using regular expressions

Data scientists, analysts, and engineers can benefit from these scripts to preprocess CSV data, making it easier to work with and analyze

💡 Small, specialized scripts can be more efficient and effective than relying on large libraries like pandas for simple data cleaning tasks

📊 Clean messy CSVs without pandas! 🚀 3 tiny no-install scripts to improve data quality 📈