VIDEO SCRIPT—2D ARRAY
What is a 2D array?
A 2D array is a data structure that stores elements in blocks and columns, forming a grid or a matrix. It is essentially an array of arrays.
Key characteristics:
- Organized as a matrix or table
- Each element accessed using two indices: row and column
- Stores homogeneous data (same data type)
- Fixed size once declared (in most languages)
Now I’ll explain the advantages and disadvantages. First, the advantages are
- Easy visualization of tabular data
- Simple row-column access pattern
- Efficient for matrix operations
- Natural representation for grids and tables
Its disadvantages are:
- Fixed size (cannot grow dynamically)
- Memory waste if array is sparse
- Complexity increases with dimensions
- Requires contiguous memory allocation
Now the next topic is some real-life examples: chessboard, seating arrangement, the Excel table, and classroom seating.
How to declare an array?
Declaration is the process of defining a two-dimensional array variable by specifying its data type, identifier, and dimensions to the compiler.
Syntax:
datatype arrayName[rows][columns];
•Example: int arr[3][4]; // 3 rows, 4 columns
Now moving on to the two methods of initialization:
METHOD 1: At the time of declaration:
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•Each inner curly brace {} represents one row
•Elements are assigned row by row
•All elements initialized at once
METHOD 2: After declaration:
• Elements assigned individually
• Can initialize selected elements only
• Uses row and column indices
Traversing in 2D arrays:
These are the types of traverse arrays:
1) Row-wise traversal
2) Column-wise traversal
3) Diagonal traversal
4) Spiral traversal
EXAMPLE:
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
cout << arr[i][j] << “ “;
}
This code prints a 2D array row by row. The outer loop goes through each row, the inner loop prints all elements in that row with spaces, and endl moves to the next line after each row is complete.
DATA FLOW DIAGRAM:
SUMMARY: KEY TAKEAWAYS
✓ 2D arrays organize data in rows and columns
✓ Declaration: datatype name[rows] [cols]
✓ Two initialization methods available
✓ Access using: array[row][col] (index from 0)
✓ Stored in row-major order in memory
✓ Essential for matrix and tabular data handling





