1.
Introduction
2.
Why This Function is Used
3.
Syntax, Parameter and Return Value
3.1.
Syntax:
3.2.
Parameters:
3.3.
Return Value:
4.
Examples
4.1.
Basic Mean Calculation:
4.2.
JavaScript
4.3.
Calculating Average Score:
4.4.
JavaScript
4.5.
Using with Complex Data Structures:
4.6.
JavaScript
4.7.
Handling Empty Arrays:
4.8.
JavaScript
5.
5.1.
How does _.mean() handle non-numeric values in the array?
5.2.
Can _.mean() be used with large data sets?
5.3.
Is _.mean() the best choice for all average calculations?
6.
Conclusion
Last Updated: Mar 27, 2024
Easy

# Lodash _.mean() Method

Rahul Singh
0 upvote
Roadmap to SDE career at Amazon
Speaker
Anubhav Sinha
SDE-2 @
25 Jun, 2024 @ 01:30 PM

## Introduction

Calculating the average value of an array of numbers is a common operation in data processing and statistical analysis. Lodash, a widely-used JavaScript utility library, provides the _.mean() method to simplify this task.

This method computes the mean or average of the numbers in an array, which is especially useful in scenarios involving numerical data analysis.

## Why This Function is Used

The _.mean() function is used to find the average value of an array of numbers. It sums up all the numbers in the array and divides the sum by the length of the array. This method streamlines the process of calculating the mean, providing a concise and readable solution compared to manually iterating over the array and performing the calculation.

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## Syntax, Parameter and Return Value

### Syntax:

`` _.mean(array)``

### Parameters:

array (Array): The array of numbers to calculate the mean.

### Return Value:

(Number) - Returns the mean of the array.

## Examples

• JavaScript

### JavaScript

``var _ = require('lodash');console.log(_.mean([4, 2, 8, 6]));``

Output:

``5``

Demonstrates the basic usage of _.mean() to calculate the average of an array of numbers.

• JavaScript

### JavaScript

``var scores = [70, 85, 90, 100, 80];var averageScore = _.mean(scores);console.log('Average Score:', averageScore); ``

Output:

``'Average Score: 85'``

Shows calculating the average score from an array of test scores.

• JavaScript

### JavaScript

``var employees = [  { name: 'John', salary: 50000 },  { name: 'Jane', salary: 60000 },  { name: 'Joe', salary: 55000 }];var averageSalary = _.mean(_.map(employees, 'salary'));console.log('Average Salary:', averageSalary); ``

Output:

`` 'Average Salary: 55000'``

An example of calculating the mean salary from an array of objects using Lodashâ€™s _.map().

• JavaScript

### JavaScript

``console.log(_.mean([])); ``

Output:

``NaN``

Demonstrates that _.mean() returns NaN when applied to an empty array.

### How does _.mean() handle non-numeric values in the array?

_.mean() ignores non-numeric values when calculating the mean. However, the presence of such values may affect the calculation, leading to unexpected results.

### Can _.mean() be used with large data sets?

Yes, _.mean() can be used with large data sets. However, for extremely large arrays, consider performance implications as the entire array needs to be iterated over.

### Is _.mean() the best choice for all average calculations?

_.mean() is suitable for basic average calculations. For weighted averages or other complex statistical computations, specialized libraries or custom functions may be more appropriate.

## Conclusion

Lodash's _.mean() method offers a straightforward and efficient way to calculate the average of numerical values in an array. It simplifies and enhances the readability of code involving statistical calculations and data analysis.

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