Topic Overview and Importance

Hello and welcome! Today, we're exploring practical data manipulation techniques in Kotlin. We'll use Kotlin List collections to represent our data stream and perform projection, filtering, and aggregation. And here's the star of the show: our operations will be neatly packaged within a Kotlin class! No mess, all clean code.

Introduction to Data Manipulation

Data manipulation is akin to being a sculptor but for data. We chisel and shape our data to get the desired structure. Kotlin lists are perfect for this, and our operations will be conveniently bundled inside a Kotlin class. So, let's get our toolbox ready! Here's a simple Kotlin class, DataStream, that will serve as our toolbox:

Data Projection in Practice

Our first stop is data projection. Think of it as capturing a photo of our desired features. Suppose we have data about people, and we're only interested in their names and ages; we project our data to include just these details. We'll extend our DataStream class with a projectData method for this:

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