Analyze the difficulty metrics for the cohort Rails and Python courses.

After completing this assignment, you should understand:

• Telling stories with data

After completing this assignment, you should be able to:

• Clean data
• Merge data

• A Git repo called cohort-data containing at least:
  • README.md file explaining how to run your project
  • a requirements.txt file
  • a suite of tests for your project

• Passing unit tests
• No PEP8 or Pyflakes warnings or errors

Using Pandas, load the cohort_3_python.csv and cohort_3_rails.xlsx files. You will need to merge them together at some point in this process.

Calculate and chart:

• Mean difficulty for lectures per day, per class
• Mean difficulty for lectures per week, per class
• Mean difficulty for homework per day, per class
• Mean difficulty for homework per week, per class
• Mean difficulty for lectures and homework per week day. Is there a trend, like Mondays are easier?
• Choose a sample student from each class and graph their data. What's their story? Are they getting better over time?