Welcome to today's lesson! Our topic for the day is data aggregation, a crucial aspect of data analysis. Like summarizing a massive book into key points, data aggregation summarizes large amounts of data into important highlights.

By the end of today, you'll be equipped with several aggregation methods to summarize data streams in Go. Let's get started!

Let's say we have a slice of integers denoting the ages of a group of people. We will demonstrate several basic aggregation methods using Go's slice manipulation techniques:

Here's a brief overview of the above code snippet:

1. Number of people: Uses len(ages) to get the number of elements in the slice.
2. Youngest age: Uses slices.Min to find the smallest element in the slice.
3. Oldest age: Uses slices.Max to find the largest element in the slice. Note that and functions are available starting from Go 1.21. Previously, finding the minimum and maximum required iterating with loops, a common pattern in Go.