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DOC: tweak ecosystem section
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doc/source/ecosystem.rst

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@@ -40,7 +40,7 @@ Based on `"The Grammer of Graphics" <http://www.cs.uic.edu/~wilkinson/TheGrammar
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provides a powerful, declarative and extremely general way to generate bespoke plots of any kind of data.
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It's really quite incredible. Various implementations to other languages are available,
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but a faithful implementation for python users has long been missing. Although still young
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(as of Jan-2014), the `yhat/ggplot <https://github.com/yhat/ggplot>` project has been
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(as of Jan-2014), the `yhat/ggplot <https://github.com/yhat/ggplot>`__ project has been
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progressing quickly in that direction.
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@@ -49,7 +49,7 @@ progressing quickly in that direction.
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Although pandas has quite a bit of "just plot it" functionality built-in, visualization and
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in particular statistical graphics is a vast field with a long tradition and lots of ground
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to cover. `The Seaborn project <https://github.com/mwaskom/seaborn>`__ builds on top of pandas
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to cover. The `Seaborn <https://github.com/mwaskom/seaborn>`__ project builds on top of pandas
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and `matplotlib <http://matplotlib.org>`__ to provide easy plotting of data which extends to
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more advanced types of plots then those offered by pandas.
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