Take Home Midterm

This is a take home midterm to be completed individually. A copy of your finished notebook (this one) should be uploaded to the Camino "Take-Home Midterm" link by August 12, 2016.

Data set

We will be using a dataset that is already in your "datascience/midterm/data" folder called "eu_revolving_loans.csv". This is a longitudinal recording of European Union country revolving loan percentage on a month-by-month basis for about a decade.

Here is a snapshot of what this dataset looks like:

Your work

You are asked to read this dataset into a DataFrame (or whatever data structure that you deem to be useful), so that you can answer these 2 questions:

• What is the average monthly "Percent per annum" of the revolving loans per country?

Hint: Your answer should be a single (real) number.

• Which EU country has the largest + change and which country has the largest - change from January 2000 to February 2016?

Hint: Your answer should be 2 country names (one for the largest + change, and one for the largest - change)

Extra: If you feel like opining on the implication for a country with a large + / - change in monthly revolving loan, please feel free to share.

Submission

You can submit your answer to the "Take-Home Midterm" in the "Assignment" folder of Camino for this course by August 12, 2016.