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In this video, we explore how structured data and sorting algorithms improve program performance and organization. You’ll learn the differences between one-dimensional and two-dimensional arrays, and how multidimensional arrays are used to represent grids, tables, and matrices. We begin with essential array techniques, including the use of a temporary variable for swapping values and why sorting is important for tasks such as calculating medians and other statistics. Next, we compare three fundamental sorting algorithms: bubble sort, selection sort, and insertion sort. You’ll see how each algorithm works, their basic step-by-step logic, and the situations where each one is most effective. We also discuss the time complexity of these algorithms and why they are typically best suited for smaller datasets or educational purposes. This lesson provides a clear, visual overview of arrays and sorting techniques that form the foundation for more advanced data structures and algorithms.