This is the documentation for DataWig, a framework for learning models to impute missing values in tables.

Details on the underlying model can be found in Biessmann, Salinas et al. 2018.

 author = {Biessmann, Felix and Salinas, David and Schelter, Sebastian and Schmidt, Philipp and Lange, Dustin},
 title = {"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data},
 booktitle = {Proceedings of the 27th ACM International Conference on Information and Knowledge Management},
 series = {CIKM '18},
 year = {2018},
 isbn = {978-1-4503-6014-2},
 location = {Torino, Italy},
 pages = {2017--2025},
 numpages = {9},
 url = {},
 doi = {10.1145/3269206.3272005},
 keywords = {data cleaning, missing value imputation}}