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 this lesson, you'll be equipped with several aggregation methods to summarize data streams in Java. Let's get started!
Let's say we have a list of integers denoting the ages of a group of people:
Common questions we might ask are: How many people are in the group? What's their total age? Who's the youngest and the oldest? Java's handy Stream API
methods like count()
, mapToInt().sum()
, min()
, and max()
have our answers:
