Welcome to our hands-on tutorial on data filtering in C++. In this session, we spotlight data filtering, a simple yet powerful aspect of programming and data manipulation. By learning to filter data, we can extract only the pieces of data that meet specific standards, decluttering the mess of unwanted data.
In the real world, data filtering mirrors the process of sieving. Let's visualize this. Imagine you're shopping online for a shirt. You have the ability to filter clothes based on color, size, brand, etc. Translating this to programming, our clothing items are our data, and our sieve is a selection of Boolean logic and algorithms used for filtering.
In programming, loops enable coders to execute a block of code repetitively, making them handy tools in data filtering. C++ uses for and while loops that iterate through data structures like arrays or vectors, checking each data element against specific criteria.
For instance, let's build a class, DataFilter, that filters out numbers less than ten in a vector:
