Скачать или смотреть Solving the Array Problem: Calculating Averages in JavaScript

Discover how to effectively calculate averages from multiple arrays in JavaScript, even if you are transitioning from another programming language like Java.
---
This video is based on the question https://stackoverflow.com/q/64379172/ asked by the user 'Hugues Prudhomme' ( https://stackoverflow.com/u/14284353/ ) and on the answer https://stackoverflow.com/a/64379364/ provided by the user 'Nina Scholz' ( https://stackoverflow.com/u/1447675/ ) 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: Problem of array - transferring value to another 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.
---
Understanding the Coffee Consumption Averages Problem

If you are delving into JavaScript and are accustomed to another programming language like Java, you might encounter some challenges when working with arrays. A common problem that many face is how to calculate averages from two related arrays: one representing roles at work and another indicating the quantity of coffee consumed.

In this guide, we'll break down the method to compute the average coffee consumption across different job positions, ensuring clarity for those transitioning from Java.

The Initial Problem

Given two arrays:

poste: representing different working positions (e.g., Programmer, Analyst, Operator)

nbCafe: indicating the quantity of coffee drunk by each person in the respective positions

Here’s the initial problem:

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

We need to calculate average coffee consumption for each role:

Programmers (P)

Analysts (A)

Operators (O)

Challenges:

Using + = to add values doesn't seem to work as expected.

Encountering NaN when attempting to push values from one array to another.

The Solution

To effectively calculate the averages, we can break the solution into clear steps:

Step 1: Data Separation

We first need to separate the coffee consumption values into different arrays for each position type. The approach involves:

Creating three empty arrays to hold coffee consumption figures for Programmers, Analysts, and Operators.

A loop that checks the job position and pushes the corresponding coffee value to the right array.

Step 2: Calculate the Average

Instead of calculating the average within the same loop, we will create a function that computes the average of an array. This will neatly isolate the logic for calculating averages, making it easier to manage.

Here's how the complete solution looks:

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

Key Concepts Explained

Separation of Concerns: By creating a separate function for average calculation, the code is cleaner and easier to manage.

Dynamic Array Handling: Pushing values into new arrays reduces complexity and helps avoid issues like NaN.

Clear Outputs: Using console.log for output provides instant feedback for verification.

Conclusion

By implementing the above solution, you can successfully calculate and display the average coffee consumption for different job positions. For those transitioning from Java, understanding these JavaScript concepts will help ease the adjustment.

Transitioning languages can certainly come with its challenges, especially in array manipulation. However, with structured solutions and methods, tackling problems like these will become second nature.

Have Questions?

Feel free to reach out or leave comments below if you encountered any similar issues or found different solutions!