The objective of this exercise is to get some practice with generating charts using pandas. Ideally you will use a dataset that you obtain that is of direct interest to you, but you can also use any of the datasets we have used so far in class.
Use the data you obtain to generate 5 different types of charts, drawing on the chart types covered in class today as well as others you might find useful from chapter 8 in Python for Pandas, or from the online plotting tutorial here: http://pandas.pydata.org/pandas-docs/stable/visualization.html, or in this blog on pandas plotting: http://pandasplotting.blogspot.com/ (one caveat on this blog is that it is 2 years old, and some of the methods may be a bit different or not supported now, but it is still a useful resource).
As usual, turn in your IPython Notebook with the code and output from your 5 charts.
Can't change a rubric once you've started using it.