ML Anthology

Visna---Visualising Multivariate Missing Values

Antony Unwin, Alexander Pilhoefer
ICMLW 2020
/icmlw/2020/unwin2020icmlw-visna/

Abstract

Identifying patterns of missing values in large datasets is difficult. The visna plot is a matrix visualisation with variables in the columns and patterns of missing values in the rows. Both rows and columns can be sorted and filtered. Visna is a powerful graphical tool for exploratory analysis.

PDF ICMLW OpenReview Semantic Scholar

Cite

Text

Unwin and Pilhoefer. "Visna---Visualising Multivariate Missing Values." ICML 2020 Workshops: Artemiss, 2020.

Markdown

[Unwin and Pilhoefer. "Visna---Visualising Multivariate Missing Values." ICML 2020 Workshops: Artemiss, 2020.](https://mlanthology.org/icmlw/2020/unwin2020icmlw-visna/)

BibTeX

@inproceedings{unwin2020icmlw-visna,
  title     = {{Visna---Visualising Multivariate Missing Values}},
  author    = {Unwin, Antony and Pilhoefer, Alexander},
  booktitle = {ICML 2020 Workshops: Artemiss},
  year      = {2020},
  url       = {https://mlanthology.org/icmlw/2020/unwin2020icmlw-visna/}
}