Data Cleaning Functions

[surajwate]

Data Cleaning Functions (cleaning.py)

• Features:
  • remove_missing(data): Function to handle missing data based on defined criteria.
  • standardize_columns(data): Standardize column names to a consistent format.
  • detect_outliers(data, method='IQR'): Identify outliers using the interquartile range or other specified methods.

[surajwate]

I have decided to develop a full package instead of a module.

[surajwate]

Planned modules:

• [x] missing.py # handling missing
• [ ] standardization.py # standardizing data
• [ ] outliers.py # detecting and handling outliers
• [ ] conversion.py # data type conversion
• [ ] encoding.py # encoding and scaling
• [ ] validation.py # data validation
• [ ] advanced.py # advanced cleaning techniques
• [ ] utils.py # utility functions