Remove binder. (ResidentMario#138)

Tomastaro · Jul 3, 2021 · 19dc216 · 19dc216
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diff --git a/QuickStart.ipynb b/QuickStart.ipynb
diff --git a/README.md b/README.md
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 Messy datasets? Missing values? `missingno` provides a small toolset of flexible and easy-to-use missing data
 visualizations and utilities that allows you to get a quick visual summary of the completeness (or lack thereof) of your dataset. Just `pip install missingno` to get started.
 
-## Quickstart [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ResidentMario/missingno/master?filepath=QuickStart.ipynb)
+## Quickstart
+
 This quickstart uses a sample of the [NYPD Motor Vehicle Collisions Dataset](https://data.cityofnewyork.us/Public-Safety/NYPD-Motor-Vehicle-Collisions/h9gi-nx95) 
 dataset. To get the data yourself, run the following on your command line:
 
@@ -90,7 +91,6 @@ Entries marked `<1` or `>-1` have a correlation that is close to being exactingl
 
 The heatmap works great for picking out data completeness relationships between variable pairs, but its explanatory power is limited when it comes to larger relationships and it has no particular support for extremely large datasets.
 
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 ### Dendrogram
 
 The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap: