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Скачать или смотреть Finding the Individual with the Highest Average Score in Java 8 Using Streams

  • vlogize
  • 2025-10-11
  • 1
Finding the Individual with the Highest Average Score in Java 8 Using Streams
Working with Two dimensional arrays in Java-8 using Streamslambdajava 8streamjava stream
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Описание к видео Finding the Individual with the Highest Average Score in Java 8 Using Streams

Discover how to efficiently solve the problem of finding the person with the highest average score from a two-dimensional array in Java 8 using Stream APIs.
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This video is based on the question https://stackoverflow.com/q/68659684/ asked by the user 'Andulos' ( https://stackoverflow.com/u/3194858/ ) and on the answer https://stackoverflow.com/a/68659887/ provided by the user 'WJS' ( https://stackoverflow.com/u/1552534/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Working with Two dimensional arrays in Java-8 using Streams

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Finding the Individual with the Highest Average Score in Java 8 Using Streams

When it comes to data processing in Java, the introduction of Streams in Java 8 revolutionized the way developers approached collections and arrays. If you've faced the challenge of dealing with two-dimensional arrays and calculating averages using imperative programming techniques, you might have found yourself tangled in multiple loops and complex structures. But there's a cleaner, more efficient way to achieve the same result using Java Streams! Let's dive into how you can find the individual with the highest average score from a two-dimensional array using Streams.

The Problem

You may encounter a coding challenge similar to this: Given an array of strings structured as String[][], such as the following:

[[See Video to Reveal this Text or Code Snippet]]

Your task is to find the person with the highest average score across all entries. Traditionally, you might think of using multiple for-loops and HashMaps, but there's a more elegant approach using Streams that we'll explore here.

The Solution

Step 1: Create the Sample Data

First, let's establish our sample data, which we are going to work with. Here’s an example array for our task:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Stream the Data

The first action is to convert our two-dimensional array into a Stream, allowing us to leverage the Stream API. We'll group the entries by names and calculate the averages.

Step 3: Group by Name and Calculate Average

To find the highest average, we will collect the results into a Map<String, Double>, where the key is the name of the individual and the value is their average score. This can be done using Collectors.groupingBy and Collectors.averagingDouble as shown below:

[[See Video to Reveal this Text or Code Snippet]]

Step 4: Handle the Result

Since the method maxBy returns an Optional, we need to handle the case where there might not be any results. We’ll check for presence and retrieve the maximum score as follows:

[[See Video to Reveal this Text or Code Snippet]]

Complete Code Snippet

Combining all the steps, here is the complete code snippet that achieves our goal:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Using the Java Stream API not only simplifies our code but also enhances its readability. We converted a traditionally tedious task into a cleaner and more efficient solution. By employing the power of Streams, we were able to calculate averages and find the maximum in just a few lines of code without compromising clarity. Next time you face a similar problem, consider the power of Streams to streamline your solution!

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