A Plot for the Visualization of Missing Value Patterns in Multivariate Data

Authors

Pedro Valero-Mora
Maria F. Rodrigo
Mar Sanchez
Jaime SanMartin

DOI

https://doi.org/10.7275/94ra-1y55

Abstract

Missing data patterns are the combinations in which the variables with missing values occur. Exploring these patterns in multivariate data can be very useful but there are few specialized tools. The current paper presents a plot that includes relevant information for visualizing these patterns. The plot is also dynamic-interactive; so, selecting elements in it permits the highlighting of those that are more relevant according to certain criteria. An example, based on college data, is used for the purposes of illustrating the capabilities of the plot. Accessed 184 times on https://pareonline.net from November 21, 2019 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Recommended Citation

Valero-Mora, Pedro; Rodrigo, Maria F.; Sanchez, Mar; and SanMartin, Jaime (2019) "A Plot for the Visualization of Missing Value Patterns in Multivariate Data," Practical Assessment, Research, and Evaluation: Vol. 24, Article 9.
DOI: https://doi.org/10.7275/94ra-1y55
Available at: https://scholarworks.umass.edu/pare/vol24/iss1/9