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 C#. 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? C#'s handy built-in properties and LINQ extension methods like Count, Sum, Min, and Max have our answers:
These functions provide essential aggregation operations and are widely used with data streams.
For deeper analysis, such as calculating the average age or range of ages manually, we can use for and while loops.
For example, using for loops, we can also find the mode or most frequent age:
While loops can also be used similarly for complex tasks.
