A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive.

Given an **N-ary Tree** rooted at **1**, and an array **val[]** consisting of weights assigned to every node, and a matrix **Q[][]**, consisting of queries of the form **{X, D}**, the task for each query is to find the minimum of all weights assigned to the nodes which are atmost at a distance **D** from the node **X**.

**Examples:**

_ Q[][] = {{1, 2}, {2, 1}}, val[] = {1, 2, 3, 3, 5}_Input:

```
1
/ \
4 5
/
3
/
2
```

Output:

1

3

Explanation:

Query 1: X = 1, D = 2

The nodes atmost at a distance 2 from the node 1 are {1, 3, 4, 5} and the weights assigned to these nodes are {1, 3, 3, 5} respectively.

Therefore, the minimum weight assigned is 1.

Query 2: X = 2, D = 1

The nodes atmost at a distance 1 from node 2 is {2, 3} and the weights assigned to these nodes are {2, 3} respectively.

Therefore, the minimum weight assigned is 2.

_ Q[][] = {{1, 2}}, val[] = {1, 2, 4}_Input:

```
1
/ \
2 3
```

_ 1_Output:

**Naive Approach:**

The simplest approach to solve each query is to iterate the tree and find all the nodes which are at most at a distance **D** from node **X** and find the **minimum** of all the weights assigned to these nodes.

**_Time Complexity: _***O(Q * N)*

** Auxiliary Space:**_ O(1)_

**Efficient Approach:**

Visual Analytics and Advanced Data Visualization - How CanvasJS help enterprises in creating custom Interactive and Analytical Dashboards for advanced visual analytics for data visualization

Visualization Best Practices for Data Scientists. Disclaimer: The ideas presented in this article are from the book: Story Telling With Data by Cole Nussbaumer Knaflic.

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.

The Importance of Data Visualization - It is the process of converting raw data at hand into easy and understandable image-photo-graphics for fast, effective and accurateâ€¦

Data Quality Testing Skills Needed For Data Integration Projects. Data integration projects fail for many reasons. Risks can be mitigated when well-trained testers deliver support. Here are some recommended testing skills.