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Скачать или смотреть How to Iterate a JSON List of Objects in R using the jsonlite Package

  • vlogize
  • 2025-08-14
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How to Iterate a JSON List of Objects in R using the jsonlite Package
R Jsonlite - How to iterate a JSON list of objects?jsonlite
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Описание к видео How to Iterate a JSON List of Objects in R using the jsonlite Package

Learn how to effectively iterate through a list of JSON objects in R using the jsonlite package by understanding data structures and code examples.
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This video is based on the question https://stackoverflow.com/q/65252570/ asked by the user 'Mojimi' ( https://stackoverflow.com/u/3529833/ ) and on the answer https://stackoverflow.com/a/65252758/ provided by the user 'alko989' ( https://stackoverflow.com/u/2195555/ ) 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: R Jsonlite - How to iterate a JSON list of objects?

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.

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How to Iterate a JSON List of Objects in R using the jsonlite Package

If you are new to R and working with JSON data, you might find yourself facing some challenges when it comes to manipulating and iterating through the data. One common scenario is reading a JSON file that contains a list of objects and trying to access each object’s properties effectively. In this guide, we will explore how to iterate a JSON list of objects using the jsonlite package in R.

Understanding the Problem

Consider the following JSON structure that contains a list of revisions:

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

If you tried to read this JSON file into R using the jsonlite package and directly loop through the revisions, you might run into some issues because the structure is not as straightforward as it seems. New users often struggle to grasp how jsonlite transforms that list into a format that R can manipulate.

Solution: Iterating Through JSON List in R

To iterate through a JSON list of objects, you first need to ensure that you're correctly interpreting the data structure that jsonlite creates. The revisions component of the JSON file is transformed into a data.frame in R. Here’s how you can work with it effectively.

Step 1: Reading the JSON File

First, you need to import the required library and read the JSON file:

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

Step 2: Understand the Data Structure

After loading the JSON data, check the structure to understand how R has transformed it:

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

This will show you how revisions looks like. Typically, it will show something like a data frame with columns corresponding to your JSON keys.

Step 3: Iterating Over the Data Frame

Since json$revisions is a data frame, you can iterate through the rows using the following code:

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

This code does the following:

seq(nrow(json$revisions)): Generates a sequence from 1 to the number of rows in json$revisions.

json$revisions$number[i]: Accesses the number column of each row as the loop iterates.

Important Tip: Accessing Other Properties

If you need to access other properties, such as description, you can do so in a similar manner:

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

Conclusion

Iterating through a JSON list of objects in R using the jsonlite package might seem challenging at first, especially for newcomers. By understanding the data structure and using base functions effectively, you can manipulate the data as required.

Now, you're equipped with the knowledge to read and iterate through JSON objects with ease. Happy coding!

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