Ethereum: Average Calculation not Working Well, Result is always NaN

Evaluating Calculations in an Array in Ethereum: A Common Problem

In Ethereum development, especially when working with arrays and calculations, errors such as “NaN” (not a number) can occur due to incorrect data usage or misinterpretation. In this article, we will explore why problems occur when calculating averages from an array and provide guidance on how to resolve them.

Problem: Calculation Error

Let’s say your initial setup looks like this:

var array = [1, 2, 3, 4, 5];

You want to calculate the average of these values. In Ethereum, this can be achieved using the Array.prototype.reduce() method or by manually iterating over the array.

Incorrect Calculation

Here is an example of an incorrect calculation:

was as = 0;
setInterval(function() {
for (var i = 0; i < array.length; i++) {
as += array[i];
}
var average = sum / array.length;
}, 1000); // every second
console.log(average);

This code will incorrectly calculate the average by adding all the elements in one go, resulting in a NaN value.

Solution: Correct calculation

To calculate the average correctly, use Array.prototype.reduce() or iterate over the array using a loop:

was as = 0;
setInterval(function() {
for (var i = 0; i < array.length; i++) {
as += array[i];
}
}, 1000); // every second
console.log(sum / array.length);

Or you can use the “reduce()” method:

var sum = array.reduce((acc, current) => acc + current, 0);
console.log(sum / array.length);

Additional Tips

• Make sure your data is in a valid format and free of errors.

• If you are using an array to store prices or values, all elements are numbers (e.g. “Number”) to ensure accurate calculations.

• If you are dealing with large data sets, consider using more efficient calculation methods or parallel processing methods.

Conclusion

In this article, we have identified an issue related to incorrect calculations when calculating average values ​​from an array in Ethereum. By understanding why your initial setup was flawed and applying the correct logic, you can improve the accuracy of your code and ensure reliable results.

circulating liquidity