Visualization of Missing Values
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30073-8_4
Reference42 articles.
1. Ahlin, C., D. Stupica, F. Strle, and L. Lusa. 2015. “Medplot: A Web Application for Dynamic Summary and Analysis of Longitudinal Medical Data Based on R.” PloS One 10 (4): e0121760–60. https://doi.org/10.1371/journal.pone.0121760.
2. Alemzadeh, S., U. Niemann, T. Ittermann, H. Völzke, D. Schneider, M. Spiliopoulou, K. Bühler, and B. Preim. 2020. “Visual Analysis of Missing Values in Longitudinal Cohort Study Data.” Computer Graphics Forum 39 (1): 63–75. https://doi.org/10.1111/cgf.13662.
3. Bilogur, Aleksey. 2018. “Missingno: A Missing Data Visualization Suite.” Journal of Open Source Software 3 (22): 547. https://doi.org/10.21105/joss.00547.
4. Cheng, X., D. Cook, and H. Hofmann. 2015. “Visually Exploring Missing Values in Multivariable Data Using a Graphical User Interface.” Journal of Statistical Software, Articles 68 (6): 1–23. https://doi.org/10.18637/jss.v068.i06.
5. Cook, D., and D. F. Swayne. 2007. Interactive and Dynamic Graphics for Data Analysis: With r and GGobi. New York: Springer.
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