2. Homework and Prepare for next class

1. Review the material from class

2. Practice by completing the exercises below in a new notebook with the file name day1_practice.ipynb. Include headings in your notebook and explanation/interpretation of your code and results in markdown cells.

3. Preview for tomorrow by learning about the split-apply-combine paradigm in the pandas documentation and with pandas tutor example taking the group-wise mean

1. Reload the libraries and cleaned data. 
1. Make bar charts of the counts of people by sex and age category. 
2. Answering the following questions: 
   1. What is the most common number of prior arrests?
   2. What percentage of people in the dataset were re-arrested?
   3. What is the most commone COMPAS score?