Logarithmic Regression

Source
import { Chart } from '@antv/g2';
import { regressionLog } from 'd3-regression';

const chart = new Chart({
  container: 'container',
  autoFit: true,
});

const logRegression = regressionLog()
  .x((d) => d.x)
  .y((d) => d.y)
  .domain([0.81, 35]);

chart.options({
  type: 'view',
  data: {
    type: 'fetch',
    value: 'https://assets.antv.antgroup.com/g2/logarithmic-regression.json',
  },
  children: [
    {
      type: 'point',
      encode: { x: 'x', y: 'y', shape: 'point' },
      scale: { x: { domain: [0, 35] } },
      style: { fillOpacity: 0.75 },
      axis: { x: { title: false }, y: { title: false } },
    },
    {
      type: 'line',
      data: {
        transform: [
          {
            type: 'custom',
            callback: logRegression,
          },
        ],
      },
      encode: { x: (d) => d[0], y: (d) => d[1], shape: 'smooth' },
      style: { stroke: '#30BF78', lineWidth: 2 },
      labels: [
        {
          text: 'y = 0.881·ln(x) + 4.173\nThe coefficient of determination, or R^22, is 0.958',
          selector: 'last',
          textAlign: 'end',
        },
      ],
      tooltip: false,
    },
  ],
});

chart.render();