TASK 1: Compute candlestick data

To complete this task, you need to be able to compute candlestick data from the temperature data for a particular location in Europe between 1980-2019. Here is an example of the fields needed for candlestick data:

Date Open High Low Close

1980-01-01 -1.249 20 -3 -1.200

1981-01-01 -1.200 25 -2 -1.300

1982-01-01 -1.300 27 -1 -1.400

1983-01-01 -1.400 28 -1 -1.350

1984-01-01 -1.350 24 0 -1.450

Please note the dataset contains temperature data collected at an hourly rate for each European country (columns with two-character prefixes, i.e., GB, FR, ES, etc.). However, the example table above might be the candlestick data for the yearly temperature of Germany.

To compute those fields:

Open: the average mean temperature per time frame (i.e., year) in the previous year.

Close: the average mean temperature per unit in this time frame (same as Open, for the current time frame).

High: highest temperature value seen this time frame.

Low: lowest temperature value seen this time frame.

You should implement the candlestick data computation using a function which returns the following data type:

std::vector

Note that it returns a vector of Candlestick objects. You will need to define your own Candlestick class that is suitable for representing candlestick data.