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.mdfile explaining how to run your project- a
requirements.txtfile - 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?