Added matplotlib applied notebook, with visualizations appied to Kaggle competitions for exploratory data analysis. This was separated from the original matplotlib notebook that contained both general functionality and the applied section.

Author: donnemartin

README.md

@@ -144,6 +144,7 @@ Credits: Some content forked from [Parallel Machine Learning with scikit-learn a
 | Notebook | Description |
 |-----------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|
 | [matplotlib](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/matplotlib.ipynb) | Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. |
+| [matplotlib-applied](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/matplotlib-applied.ipynb) | Matplotlib visualizations appied to Kaggle competitions for exploratory data analysis.  Examples of bar plots, histograms, subplot2grid, normalized plots, scatter plots, subplots, and kernel density estimation plots. |
 
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