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Скачать или смотреть How to map over nested D3 objects and create arrays in JavaScript

  • vlogize
  • 2025-04-04
  • 1
How to map over nested D3 objects and create arrays in JavaScript
How to map over nested D3 objects and create arrayjavascriptjsond3.js
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Описание к видео How to map over nested D3 objects and create arrays in JavaScript

A comprehensive guide on how to efficiently map over nested D3 objects and extract data for visualization using JavaScript.
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This video is based on the question https://stackoverflow.com/q/72789864/ asked by the user 'Rachel' ( https://stackoverflow.com/u/9132098/ ) and on the answer https://stackoverflow.com/a/72791078/ provided by the user 'IT goldman' ( https://stackoverflow.com/u/3807365/ ) 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: How to map over nested D3 objects and create 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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Mapping Over Nested D3 Objects: A Step-by-Step Guide

When working with complex datasets in D3.js, especially those returned from APIs, you may encounter nested JSON objects. Understanding how to extract and manipulate this data is key to creating meaningful visualizations. In this guide, we will explore how to map over nested D3 objects and create arrays from those structures, setting you up for success in building engaging data visualizations.

Understanding the Problem

Let’s consider an example of some JSON data returned from an API, structured as nested objects. Here's a sample of the data you're dealing with:

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

In this example, you want to extract the values for deployment, collaboration, and supportlevel and organize them in a way that they can be used in a multi-bar chart.

Identifying Groups and Subgroups

The first step is to define your groups. In your current implementation, you're utilizing the D3 library to extract the parent groups as follows:

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

However, your goal is to create another variable named subgroups containing the child values.

Extracting Child Values into subgroups

To achieve this, we need to structure our data appropriately. The recommended final format is to have your child values grouped further into objects, allowing easy access for graph plotting. Here’s how you can transform the initial structure into a more usable form.

Example Data Structure for Subgroups

You can reshape your data to yield the desired structure:

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

The Transformation Logic

The goal is to create the subgroups as follows:

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

Output Structure

The result object will have the format:

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

Visualizing with D3

Now that you have structured the data into subgroups, you can use this new format to plot your multi-bar chart effectively.
Here's a snippet demonstrating how to use these subgroups in your D3 code for generating bars:

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

Conclusion

Mapping over nested D3 objects and extracting child values can at first seem daunting, but by following the structured approach outlined in this post, you can effectively manipulate your data for visual representation. This not only optimizes your workflow but enhances the insights you can derive from your datasets.

Embrace this technique in your next D3.js project, and watch as your data comes to life in stunning visualizations!

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