Strategy for this exercise

To find the city with the optimal climate, we’ll go through the following steps:

1. For each city, read the time series data of temperature, humidity, wind speed, and clear/cloudy skies.
2. For each city, compute the average value of each weather parameter.
3. Assign scores to each city using the criteria from the previous subsection.
4. Sum up the scores to find the winner.

Sounds easy, right? We covered most of the logistics around reading and processing time series data in chapters 5 and 7. Here, we’ll focus on implementing the generic average function that can operate on integer, real, or logical data.