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Скачать или смотреть How to Find Words More Than X Words in JavaScript

  • vlogize
  • 2025-09-27
  • 0
How to Find Words More Than X Words in JavaScript
find words more than x words (print how many words inputted)javascript
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Описание к видео How to Find Words More Than X Words in JavaScript

A guide to finding state names with a specified number of words in JavaScript using arrays and string methods.
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This video is based on the question https://stackoverflow.com/q/67357848/ asked by the user 'htpea' ( https://stackoverflow.com/u/15812491/ ) and on the answer https://stackoverflow.com/a/67357965/ provided by the user 'tunapq' ( https://stackoverflow.com/u/12283811/ ) 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 words more than x words (print how many words inputted)

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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How to Find Words More Than X Words in JavaScript

When working with arrays in JavaScript, one common requirement is to filter elements based on specific criteria—in this case, names of states that contain a certain number of words. Perhaps you have a dataset of state names and you want to retrieve only those that have more than a specific number of words. This guide will explore how to accomplish that using JavaScript.

The Problem

Imagine you have a JavaScript file named states.js that contains information about various states in the United States, including their unique IDs, names, and other geographical details. You want to write a function that will print out state names based on the number of words they contain. Here is a quick example of your dataset:

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

From this dataset, if you want to find state names that have a certain number of words (e.g., 1 word like "Kentucky", or 2 words like "Ohio City"), you'll need to create a well-structured function.

The Solution

Understanding Word Count

To determine how many words a state name contains, we can use the split(" ") method in JavaScript. This method will divide the string into an array, using spaces as the delimiter. Here’s how the word count generally works:

1 word means 0 spaces in the string (e.g., "Kentucky").

2 words means 1 space in the string (e.g., "Ohio City").

Implementing the Function

Now, let’s create your function, findCityMoreThanNWords(n), which will check the number of words in each state name and return those that match the specified count.

Here’s a step-by-step breakdown of the function:

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

How It Works

Initialize an empty array: This will store the names that meet your criteria.

Loop through each state: Using a for...of loop, check each state’s name.

Split the name into words: The split(" ") method divides the name into words, and length counts them.

Compare with n: If the number of words matches n, push the name into the result array.

Return the results: Once the loop is complete, you'll have an array of state names that match the requested word count.

Examples

If you call findCityMoreThanNWords(1), it will return: ["Kentucky"].

If you call findCityMoreThanNWords(2), it will return: ["Ohio City", "West Los Angeles"].

Conclusion

Using this approach, you can efficiently filter names based on their word count in JavaScript. This method can be further expanded or modified according to your application's requirements. With just a few lines of code, you can extract meaningful information from datasets, making your applications more dynamic and user-friendly.

Feel free to explore other features or modifications you might need, and happy coding!

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