Data Diagnostics: missingno

written by Eric J. Ma on 2017-02-06

Sometimes, all that you need is a visual cue on whether the data you have on hand are complete or not. Looking at a table can be dizzying at times, so I'm very glad I found this packaged called missingno! It provides a way to quickly visualize the "nullity" of your dataset. See an example below:

It's built on top of matplotlib, and takes in pandas DataFrames, which means it plays very nicely with the rest of the PyData stack. I recently took it for a tour when I did a quick stats consult with Mia Lieberman (DCM); the above plot was made using her data, used with permission.

Highly recommended package!

Cite this blog post:

@article{
    ericmjl-2017-data-diagnostics-missingno,
    author = {Eric J. Ma},
    title = {Data Diagnostics: missingno},
    year = {2017},
    month = {02},
    day = {06},
    howpublished = {\url{https://ericmjl.github.io}},
    journal = {Eric J. Ma's Blog},
    url = {https://ericmjl.github.io/blog/2017/2/6/data-diagnostics-missingno},
}

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