Bite 232. Analyze gold prices

In this Bite you will analyze how the price of gold evolved over the years 1950-2018. We loaded the gold prices (per ounce per year) into the template for you (source).

Parse the gold_prices multiline string into a useful data structure and calculate which years the price decreased and increased the most. Return those 2 years as a tuple:

>>> from gold import years_gold_value_decreased
>>> years_gold_value_decreased()
(2013, 2009)

Become a data ninja and as always keep calm and keep it Python!

Update: this Bite is a nice one to solve with pandas so we enabled it, but given our dependencies, it means you'll have to use Python 3.6 at this time.