Right Side View of Binary Tree in DSA C# - Build from Scratch

Right Side View of Binary Tree

📖 Scenario: You are working with a binary tree data structure. Imagine you are standing on the right side of the tree and want to see the nodes visible from that side only.This is useful in real life when you want to see the outline of a tree or building from one side, ignoring what is hidden behind.

🎯 Goal: Build a program that finds the right side view of a binary tree. The right side view is the list of nodes visible when the tree is viewed from the right side.

📋 What You'll Learn

Create a binary tree with the exact structure given

Use a variable to hold the list of visible node values

Implement a method to find the right side view of the tree

Print the list of visible nodes from right side view

💡 Why This Matters

🌍 Real World

Right side view of a binary tree helps in visualizing hierarchical data from a specific perspective, useful in UI layouts, organizational charts, and game development.

💼 Career

Understanding tree traversals and views is important for software engineers working with data structures, algorithms, and system design.

1

Create the Binary Tree

Create a binary tree with the exact structure: root node with value 1, root's left child with value 2, root's right child with value 3, node 2 has right child with value 5, node 3 has right child with value 4. Use the class TreeNode provided.

DSA C#

public class TreeNode
{
    public int val;
    public TreeNode left;
    public TreeNode right;
    public TreeNode(int val=0, TreeNode left=null, TreeNode right=null)
    {
        this.val = val;
        this.left = left;
        this.right = right;
    }
}

class Program
{
    static void Main(string[] args)
    {
        // Create the binary tree nodes as described
        // Your code here
    }
}

Hint

Use the TreeNode constructor to create nodes and assign children as properties.

2

Create a List to Store Right Side View

Create a variable called rightSide of type List<int> to hold the values of nodes visible from the right side.

DSA C#

public class TreeNode
{
    public int val;
    public TreeNode left;
    public TreeNode right;
    public TreeNode(int val=0, TreeNode left=null, TreeNode right=null)
    {
        this.val = val;
        this.left = left;
        this.right = right;
    }
}

class Program
{
    static void Main(string[] args)
    {
        TreeNode root = new TreeNode(1);
        root.left = new TreeNode(2);
        root.right = new TreeNode(3);
        root.left.right = new TreeNode(5);
        root.right.right = new TreeNode(4);

        // Create a list to hold right side view values
        // Your code here
    }
}

Hint

Use List<int> and initialize it with new List<int>().

3

Implement Right Side View Logic

Write a method called RightSideView that takes a TreeNode root and a List<int> rightSide. Use a queue to do a level order traversal and add the last node's value of each level to rightSide. Call this method from Main with root and rightSide.

DSA C#

using System.Collections.Generic;

public class TreeNode
{
    public int val;
    public TreeNode left;
    public TreeNode right;
    public TreeNode(int val=0, TreeNode left=null, TreeNode right=null)
    {
        this.val = val;
        this.left = left;
        this.right = right;
    }
}

class Program
{
    static void Main(string[] args)
    {
        TreeNode root = new TreeNode(1);
        root.left = new TreeNode(2);
        root.right = new TreeNode(3);
        root.left.right = new TreeNode(5);
        root.right.right = new TreeNode(4);

        List rightSide = new List();

        // Call RightSideView method here
        // Your code here
    }

    // Implement RightSideView method here
}

Hint

Use a queue for level order traversal. Add the last node's value of each level to rightSide.

4

Print the Right Side View

Print the contents of the rightSide list separated by spaces using Console.WriteLine.

DSA C#

using System;
using System.Collections.Generic;

public class TreeNode
{
    public int val;
    public TreeNode left;
    public TreeNode right;
    public TreeNode(int val=0, TreeNode left=null, TreeNode right=null)
    {
        this.val = val;
        this.left = left;
        this.right = right;
    }
}

class Program
{
    static void Main(string[] args)
    {
        TreeNode root = new TreeNode(1);
        root.left = new TreeNode(2);
        root.right = new TreeNode(3);
        root.left.right = new TreeNode(5);
        root.right.right = new TreeNode(4);

        List rightSide = new List();

        RightSideView(root, rightSide);

        // Print the right side view values separated by spaces
        // Your code here
    }

    static void RightSideView(TreeNode root, List rightSide)
    {
        if (root == null) return;

        Queue queue = new Queue();
        queue.Enqueue(root);

        while (queue.Count > 0)
        {
            int levelSize = queue.Count;
            for (int i = 0; i < levelSize; i++)
            {
                TreeNode current = queue.Dequeue();
                if (current.left != null) queue.Enqueue(current.left);
                if (current.right != null) queue.Enqueue(current.right);

                if (i == levelSize - 1)
                {
                    rightSide.Add(current.val);
                }
            }
        }
    }
}

Hint

Use Console.WriteLine(string.Join(" ", rightSide)) to print the list values separated by spaces.

Practice

1. What does the "Right Side View of Binary Tree" represent?
RightSideView(root) returns which nodes?

easy

A. All nodes at the deepest level of the tree

B. Nodes visible when the tree is viewed from the left side

C. All leaf nodes of the binary tree

D. Nodes visible when the tree is viewed from the right side

Solution

1. Step 1: Understand the problem context

   The right side view means seeing the tree from the right side, so only nodes visible from that angle are included.

2. Step 2: Identify what nodes are visible

   These are the rightmost nodes at each level of the tree, as nodes behind them are hidden.

3. Final Answer:

   Nodes visible when the tree is viewed from the right side -> Option D

4. Quick Check:

   Right side view = rightmost nodes [OK]

Hint: Right side view shows rightmost nodes at each level [OK]

Common Mistakes:

• Confusing right side view with left side view
• Including all leaf nodes instead of rightmost nodes
• Thinking it returns all nodes at the deepest level

2. Which of the following C# method signatures correctly represents a function to get the right side view of a binary tree?
class Solution { public IList<int> RightSideView(TreeNode root) { ... } }

easy

A. public List<TreeNode> RightSideView(int root)

B. public IList<int> RightSideView(TreeNode root)

C. public int RightSideView(TreeNode root)

D. public void RightSideView(TreeNode root)

Solution

1. Step 1: Analyze the return type

   The method should return a list of integers representing node values visible from the right side, so IList<int> is appropriate.

2. Step 2: Check parameter and method signature

   The parameter should be the root node of type TreeNode, and the method should return the list, not void or a single int.

3. Final Answer:

   public IList<int> RightSideView(TreeNode root) -> Option B

4. Quick Check:

   Return list of int values from TreeNode root [OK]

Hint: Return list of int, input is TreeNode root [OK]

Common Mistakes:

• Returning void instead of a list
• Returning a single int instead of a list
• Wrong parameter type like int instead of TreeNode

3. What is the output of the following code?

class TreeNode {
  public int val;
  public TreeNode left, right;
  public TreeNode(int v) { val = v; }
}

var root = new TreeNode(1);
root.left = new TreeNode(2);
root.right = new TreeNode(3);
root.left.right = new TreeNode(5);
root.right.right = new TreeNode(4);

var result = RightSideView(root);
Console.WriteLine(string.Join(", ", result));

IList<int> RightSideView(TreeNode root) {
  var view = new List<int>();
  var queue = new Queue<TreeNode>();
  if (root != null) queue.Enqueue(root);
  while (queue.Count > 0) {
    int size = queue.Count;
    for (int i = 0; i < size; i++) {
      var node = queue.Dequeue();
      if (node.left != null) queue.Enqueue(node.left);
      if (node.right != null) queue.Enqueue(node.right);
      if (i == size - 1) view.Add(node.val);
    }
  }
  return view;
}

medium

A. [1, 3, 4]

B. [1, 2, 5]

C. [1, 3, 5]

D. [1, 2, 4]

Solution

1. Step 1: Trace the tree levels and nodes

   Level 1: Node 1; Level 2: Nodes 2 and 3; Level 3: Nodes 5 and 4.

2. Step 2: Identify rightmost nodes at each level

   Level 1 rightmost: 1; Level 2 rightmost: 3; Level 3 rightmost: 4.

3. Final Answer:

   [1, 3, 4] -> Option A

4. Quick Check:

   Rightmost nodes per level = [1, 3, 4] [OK]

Hint: Pick last node at each level in BFS order [OK]

Common Mistakes:

• Choosing leftmost nodes instead of rightmost
• Mixing node values from different levels
• Forgetting to add last node of each level

4. Find the error in this code snippet for right side view:

IList<int> RightSideView(TreeNode root) {
  var view = new List<int>();
  var queue = new Queue<TreeNode>();
  if (root != null) queue.Enqueue(root);
  while (queue.Count > 0) {
    int size = queue.Count;
    for (int i = 0; i <= size; i++) {
      var node = queue.Dequeue();
      if (node.left != null) queue.Enqueue(node.left);
      if (node.right != null) queue.Enqueue(node.right);
      if (i == size - 1) view.Add(node.val);
    }
  }
  return view;
}

medium

A. The root node should not be enqueued initially

B. The queue should be a Stack instead

C. The for loop condition should be i < size, not i <= size

D. The view list should be cleared inside the while loop

Solution

1. Step 1: Check the for loop boundary

   The for loop runs from i = 0 to i <= size, which means it runs size+1 times, causing an error when dequeueing.

2. Step 2: Correct the loop condition

   It should run exactly size times, so condition must be i < size to avoid dequeueing from empty queue.

3. Final Answer:

   The for loop condition should be i < size, not i <= size -> Option C

4. Quick Check:

   Loop runs size times, not size+1 [OK]

Hint: For loops over queue size use i < size, not i <= size [OK]

Common Mistakes:

• Using <= instead of < in loop condition
• Using stack instead of queue for BFS
• Clearing result list inside loop mistakenly

5. Given a binary tree where some nodes have only left children and others only right children, how would the right side view behave?
Example tree:

    1
   / 
  2   
   \   
    3
     \
      4

What is the right side view output?

hard

A. [1, 3, 4]

B. [4]

C. [1, 4]

D. [1, 2, 3, 4]

Solution

1. Step 1: Visualize the tree and levels

   Level 1: Node 1; Level 2: Node 2; Level 3: Node 3; Level 4: Node 4.

2. Step 2: Determine rightmost nodes at each level

   At level 2, node 2 is on the left, but node 3 is the right child of 2 and is visible from the right side. So the rightmost nodes per level are 1, 3, and 4.

3. Final Answer:

   [1, 3, 4] -> Option A

4. Quick Check:

   Right side view includes nodes visible from right side, skipping node 2 at level 2 [OK]

Hint: Right side view picks rightmost nodes at each level, even in skewed trees [OK]

Common Mistakes:

• Skipping nodes with only left children
• Assuming only right children appear in right side view
• Returning all nodes instead of rightmost nodes