Adding trendlines to existing chart Chart.js

Question

from hours I've been looking for a solution to add trendlines to an existing chart built with Chart.js

I think we can only add logarithmic trendline on Chart.js ?

I don't want to draw a trendline from scratch, but add 2 trendlines based on existing data of these 2 lines ; please see this fiddle example :

THANK YOU https://jsfiddle.net/blueagency/p88mx3nw/

A big thank you in advance for all your help.

Answer 1

The chartjs-plugin-trendline provides a straight-line trendline that plugs into Chart.js.

NPM: https://www.npmjs.com/package/chartjs-plugin-trendline/v/0.1.1

Download: https://www.jsdelivr.com/package/npm/chartjs-plugin-trendline

Usage is pretty straightforward - just add the following to your dataset:

datasets: [{
            // Other configurations
            // ...
            trendlineLinear: {
                style: "rgb(43 ,66 ,255, 0.3)",
                lineStyle: "dotted|solid",
                width: 2
            }
        }]

Answer 2

Currently, chart.js does not have a trendline capability at all (not even logarithmic). Perhaps you were getting confused with the custom tick format example at the end of the Common Scale Configuration section?

You could however use the chartjs-plugin-annotation plugin to draw a trendline on your chart, but keep in mind that you would have to implement your own logic to calculate the correct location of the line (and then just use the annotation plugin to actually draw it).

Here is an example demonstrating how to use the plugin (the plugin provides a set of annotation properties that you can add to your charts options. You would then just need to create a function that calculates the trendline and use the result to set the annotation value and endValue properties.

var myChart = new Chart(ctx, {
  type: 'line',
  data: {
    labels: [0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1],
    datasets: [{
      label: 'Dataset 1',
      borderColor: window.chartColors.blue,
      borderWidth: 2,
      fill: false,
      data: [19304,13433,9341,6931,5169, 3885,2927,2159,1853,1502, 1176,911,724,590,491, 400,335,280,239,200]
    }]
  },
  options: {
    responsive: true,
    title: {
      display: true,
      text: 'Chart.js Drsw Line on Chart'
    },
    tooltips: {
      mode: 'index',
      intersect: true
    },
    annotation: {
      annotations: [{
        type: 'line',
        mode: 'horizontal',
        scaleID: 'y-axis-0',
        value: 2225,
        endValue: 0,
        borderColor: 'rgb(75, 192, 192)',
        borderWidth: 4,
        label: {
          enabled: true,
          content: 'Trendline',
          yAdjust: -16,
        }
      }]
    }
  }
});

You can see it in action at this codepen.

Answer 3

Update your chart definition by adding an empty dataset:

    {
        label: "Trend 1",
        borderColor: 'rgba(200,0,0)',
        backgroundColor: 'rgba(200,0,0)',
        data: [],
        fill: false,
    }

Right after your chart definition (in the jsfiddle) add these lines:

arrayForRegression= []; // Declare the array which will contains calculated point of trend line
for (i=0; i < ChartVisits.data.datasets[0].data.length; i++) {
    arrayForRegression.push([i, ChartVisits.data.datasets[0].data[i]]); // Fill the array with the "y" values to be approximated by regression
}
regr = regression("polynomial", arrayForRegression, 2); // Calculare polynomial regression
convertedRegressionArray = []; // Declare an array to hold  the regression line in charts.js format
for (i=0; i < ChartVisits.data.datasets[0].data.length; i++) { // Fill the array with calculated values
    convertedRegressionArray.push(regr.points[i][1]);
}
ChartVisits.config.data.datasets[2].data = convertedRegressionArray; // Put the regression array, converted to charts format, into chart
ChartVisits.update();

In your HTML, add this line IN BODY SECTION to include the library:

<script type="text/javascript" src="js/regression.min.js"></script>

---

Library from:

https://bl.ocks.org/daluu/5bb59ef3f3fed3de227535da367649ba

https://gist.github.com/daluu/5bb59ef3f3fed3de227535da367649ba

The code of the function is obfuscated/minified, anyway the call syntax is:

var linReg = regression('linear', data);
var polyReg = regression('polynomial', data, 2);
var expoReg = regression('exponential', data);
var powReg = regression('power', data);
var logReg = regression('logarithmic', data);

Data format:

var data = [[500,2.5], [1000,3], [1500,3], [2000,3.3], [3000,3.6], [4000,4], [5500,4.8], [6000,5], [7000,5], [8000,5.5], [9000,6], [12000,7], [14000,8], [15000,8], [18000,9], [20000,10], [21000,10], [24000,11], [28000,12], [30000,13], [50000,18]];

But I don't know exactly how to implement it in charts.js or any other library.

This discovery led me to look for "javascript regression.min.js" , finding many resources.

NOTE: there is an error in index.html:

<script src="//d3js.org/d3.v3.min.js" charset="utf-8"></script>

should be:

<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>

NOTE2:

I think there is a major bug in linear regression part: the returned equation object (an array of coefficients) is in reversed order w.r.t polynomial format.

Examples:

3x^2+2x+1 is returned as array [1, 2, 3] , so each coefficient must be multiplied by Math.pow(x, array position):

y = equation[0] * Math.pow(x,0) +  equation[1] * Math.pow(x,1) + equation[1] * Math.pow(x,1)  ** correct **

2x + 1 should be returned as array [1,2] but it is returned as [2,1] --> bug?

y = equation[0] * Math.pow(x,1) +  equation[1] * Math.pow(x,0)