Data analysis in Python with pandas - How do I explore a pandas Series?

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! SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool == 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 == LET'S CONNECT! == Newsletter: https://www.dataschool.io/subscribe/ Twitter: https://twitter.com/justmarkham Facebook: https://www.facebook.com/DataScienceSchool/ LinkedIn: https://www.linkedin.com/in/justmarkham/