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Скачать или смотреть Efficient Ways to Find and Map Together Data in an Array Using JavaScript

  • vlogize
  • 2025-04-07
  • 0
Efficient Ways to Find and Map Together Data in an Array Using JavaScript
Find and map together data in an Arrayjavascripttypescript
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Описание к видео Efficient Ways to Find and Map Together Data in an Array Using JavaScript

Learn how to effectively group and sum values from an array in JavaScript with a step-by-step approach.
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This video is based on the question https://stackoverflow.com/q/73731348/ asked by the user 'Macy Narancs' ( https://stackoverflow.com/u/12421109/ ) and on the answer https://stackoverflow.com/a/73732830/ provided by the user 'Thomas' ( https://stackoverflow.com/u/6567275/ ) 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: Find and map together data in an Array

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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Efficient Ways to Find and Map Together Data in an Array Using JavaScript

When working with arrays in JavaScript, it’s common to face a challenge that requires you to aggregate or summarize data effectively. Recently, someone posed a question about how to gather specific values from an array of data objects, particularly summing values based on individual names from a nested structure. In this post, we will break down the solution to this problem step-by-step, making it easy for you to implement in your own projects.

The Problem

You have an array of objects containing information about different individuals, including their name and sum. Your goal is to extract unique names and compute the total sum associated with each name.

Here is a sample of the provided data structure:

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

After processing this data, the expected output should look like:

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

The Solution

The solution to this problem can be approached by using a function that groups the data by name and then aggregates the sums for each group.

Step 1: Create an Aggregate Function

You need a versatile function that can group items by a specified key and apply a reducer function to aggregate values.

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

Step 2: Implementing the Aggregation

By utilizing the aggregate function, we can process our data seamlessly:

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

Step 3: Extracting Results

Finally, you can easily extract the unique names (labels) and their corresponding summed values:

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

Explanation of Key Concepts

Map: A collection of key-value pairs where keys can be any datatype, which makes it ideal for our requirement to group data.

Reducer Function: This function takes the previous total and the current item to compute a new total, allowing us to sum values efficiently.

Destructuring with Spread Operator: This technique ([...sumsByName.keys()]) is utilized to convert the keys or values of the map back into an array format, giving us the final output we desire.

Conclusion

With the solution outlined above, you can easily extract and sum values from an array based on unique keys in JavaScript. This method is not only efficient, but it also keeps your code clean and easy to understand. So, the next time you need to process similar data, you can refer back to this guide!

By implementing these techniques, you’re ensuring that your array manipulation is both powerful and maintainable. Happy coding!

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