Machine learning with dataframes
simple tools for data cleaning in R
Tutorial material on machine learning with dirty data in Python
Synthetic dirty data generator
missing data handing: visualize and impute
Precise object change detection library - Automatically tracks property changes with zero intrusion.
Cleaning the NIH chest x-ray dataset using an image classifier.
Cleaning a Wikipedia table generated by a web scraping script in Python.
Transforms raw, messy data into a clean and reliable dataset, ready for insightful analysis.
SQL-based data cleaning and transformation of employee training datasets, focusing on handling missing values, correcting inconsistencies, and optimizing data quality for analysis
CLI to generate relational synthetic data with realistic chaos – nulls, duplicates, drift, and messy formatting.
Data wrangling using python and SQL
A Python library for iterative and interactive data wrangling at laptop-scale.
Flexible JSON decoding for Go — gracefully handling schema variations and forgiving mistakes.
Add a description, image, and links to the dirty-data topic page so that developers can more easily learn about it.
To associate your repository with the dirty-data topic, visit your repo's landing page and select "manage topics."