<jupyter_start><jupyter_text>Use distplot to plot single column<jupyter_code>sns.distplot(df.x1)<jupyter_output><empty_output><jupyter_text>Use violinplot to examine spread<jupyter_code>sns.violinplot(data=df)<jupyter_output><empty_output><jupyter_text>Use pairplot to examine pair-wise correlation<jupyter_code>sns.pairplot(df, diag_kind='kde', size=2.4);<jupyter_output>/Users/shawlu/anaconda3/lib/python3.5/site-packages/seaborn/axisgrid.py:2065: UserWarning: The `size` parameter has been renamed to `height`; pleaes update your code.
  warnings.warn(msg, UserWarning)<jupyter_text>Use heatmap for a more quantitative view of the correlation matrix<jupyter_code>sns.heatmap(df.corr())<jupyter_output><empty_output><jupyter_text>Use clustermap to dissect large correlation matrix<jupyter_code>sns.clustermap(df.corr())<jupyter_output><empty_output><jupyter_text>Examine strongly correlated feature pair<jupyter_code>sns.jointplot(df.x4, df.x5, df, kind='reg')<jupyter_output><empty_output>
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