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Merge pull request #64 from zkamvar/patch-1
add explicit package names to paper.md
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paper.md

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@@ -51,8 +51,8 @@ Finally, geospatial data dependencies are viewable using an approach based on th
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The visualizations are consciously designed to be as effective as possible
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at uncovering missing data patterns both between and within columns of data, and hence, to help its users build more
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effective data models and pipelines. At the same time the package is designed to be easy to use. The underlying
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packages involved ([@numpy], [@pandas], [@scipy], [@matplotlib], and [@seaborn]) are familiar parts of the core scientific Python
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packages involved (NumPy [@numpy], pandas [@pandas], SciPy [@scipy], matplotlib [@matplotlib], and seaborn [@seaborn]) are familiar parts of the core scientific Python
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ecosystem, and hence very learnable and extensible. missingno works "out of the box" with a variety of data types and
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formats, and provides an extremely compact API.
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# References
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# References

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