When you start working with a new dataset, how should you go about exploring it? In this video, I'll demonstrate some of the basic tools in pandas for exploring both numeric and non-numeric data. I'll also show you how to create simple visualizations in a single line of code!

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== RESOURCES ==
GitHub repository for the series: https://github.com/justmarkham/pandas-videos
"describe" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.describe.html
"value_counts" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.value_counts.html
"unique" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.unique.html
"nunique" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.nunique.html
"crosstab" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.crosstab.html
"mean" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.mean.html
"plot" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.plot.html

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