Is there a way to generate random numbers that will create a chart with a general upward trend?

Are you looking for a solution to generate random numbers for charts that trend upwards and to the right? I am currently utilizing a JavaScript charting engine, so I will require numbers in JSON format eventually. However, I am open to alternative methods if they are easier outside of JavaScript.

If you need a simple randomNumber generator in JavaScript, you can use the following function:

function randomNumber(minimum, maximum){
    return Math.round( Math.random() * (maximum - minimum) + minimum);
}
console.log(randomNumber(0,100));

The code above will work as long as the min and max values increase over time. Can you provide me with guidance on this matter?

Feel free to experiment with different solutions, including a helpful chart, on this JSFiddle link: http://jsfiddle.net/9ox4wjrf/

Below is a rough example of the type of charts I am aiming to create using the generated data:

Answer №1

Here's a potential solution that you could consider:

let a = 0.05;
let b = 15; //experiment with these values to see what works best
let y;

//iterate through values from 0 onwards
y = a * x**2 + b * x * Math.random();
//or utilize your randomize function:
y = a * x**2 + randomize(-b * x / 2, b * x / 2);

This setup causes the noise to increase as you move towards the right side of the graph.

Answer №2

To create a clear trend devoid of any distractions, organize your data into an array of increasing numbers and label it as X. Then, duplicate this array into another variable Y. Next, inject some randomness into each point in Y by incorporating values generated by Math's random number generator to introduce the semblance of noise.

For more diverse options for generating random numbers, consider exploring random-js on GitHub at https://github.com/mobiusklein/random-js. Although it is already a fantastic tool, various forks are available to smoothen out any rough edges. Additionally, check out https://github.com/tmcw/simple-statistics for integrating linear regression lines into your analysis.

Answer №3

Below is a representation in pseudocode that demonstrates a method for generating data points with varying growth patterns:

int randomRangePotential = 15; // percentage range for random growth/shrinkage
int likelihoodOfGrowth = 90; // probability of data point exceeding previous
int numDataPoints = 150; // total number of data points to create

int lastPointValue = 75;

for (int count = 0; count < numDataPoints; count++)
{
    // generate random number to determine positive or negative growth (0 - 100)
    // get a random value within the potential range for randomness
    // if random number is greater than likelihoodOfGrowth

       // calculate new data point by multiplying lastPointValue by a random factor
       // add this value to the data point

    // if random number is less than likelihoodOfGrowth

       // calculate new data point by multiplying lastPointValue by a negative random factor
       // add this value to the data point

    // assign current data point as lastPointValue

}

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