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Chart.js Box and Violin Plot

datavisyn NPM Package CircleCI

Chart.js module for charting box and violin plots. Works only with Chart.js >= 2.8.0

Box Plot Violin Plot

Install

npm install --save chart.js chartjs-chart-box-and-violin-plot

Usage

see Samples on Github

and CodePen

Chart

four new types: boxplot, horizontalBoxplot, violin, and horizontalViolin.

Config

/**
 * Limit decimal digits by an optional config option
 **/
  tooltipDecimals?: number;

Styling

The boxplot element is called boxandwhiskers. The basic options are from the rectangle element. The violin element is called violin also based on the rectangle element.

interface IBaseStyling {
  /**
   * @default see rectangle
   * @scriptable
   * @indexable
   */
  backgroundColor: string;

  /**
   * @default see rectangle
   * @scriptable
   * @indexable
   */
  borderColor: string;

  /**
   * @default null takes the current borderColor
   * @scriptable
   * @indexable
   */
  medianColor: string;

  /**
   * @default 1
   * @scriptable
   * @indexable
   */
  borderWidth: number;

  /**
   * radius used to render outliers
   * @default 2
   * @scriptable
   * @indexable
   */
  outlierRadius: number;

  /**
   * @default see rectangle.backgroundColor
   * @scriptable
   * @indexable
   */
  outlierColor: string;

  /**
   * to fill color below the median line of the box
   * @default see rectangle.lowerColor
   * @scriptable
   * @indexable
   */
  lowerColor: string;

  /**
   * radius used to render items
   * @default 0 so disabled
   * @scriptable
   * @indexable
   */
  itemRadius: number;

  /**
   * item style used to render items
   * @default circle
   */
  itemStyle: 'circle'|'triangle'|'rect'|'rectRounded'|'rectRot'|'cross'|'crossRot'|'star'|'line'|'dash';

  /**
   * background color for items
   * @default see rectangle backgroundColor
   * @scriptable
   * @indexable
   */
  itemBackgroundColor: string;

  /**
   * border color for items
   * @default see rectangle backgroundColor
   * @scriptable
   * @indexable
   */
  itemBorderColor: string;

  /**
   * padding that is added around the bounding box when computing a mouse hit
   * @default 1
   * @scriptable
   * @indexable
   */
  hitPadding: number;

  /**
   * hit radius for hit test of outliers
   * @default 4
   * @scriptable
   * @indexable
   */
  outlierHitRadius: number;
}

interface IBoxPlotStyling extends IBaseStyling {
  // no extra styling options
}

interface IViolinStyling extends IBaseStyling {
  /**
  * number of sample points of the underlying KDE for creating the violin plot
  * @default 100
  */
  points: number;
}

In addition, two new scales were created arrayLinear and arrayLogarithmic. They were needed to adapt to the required data structure.

Scale Options

Both arrayLinear and arrayLogarithmic support the two additional options to their regular counterparts:

interface IArrayLinearScale {
  ticks: {
    /**
     * statistic measure that should be used for computing the minimal data limit
     * @default 'min'
     */
    minStats: 'min'|'q1'|'whiskerMin';

    /**
     * statistic measure that should be used for computing the maximal data limit
     * @default 'max'
     */
    maxStats: 'max'|'q3'|'whiskerMax';

    /**
     * from the R doc: this determines how far the plot ‘whiskers’ extend out from
     * the box. If coef is positive, the whiskers extend to the most extreme data
     * point which is no more than coef times the length of the box away from the
     * box. A value of zero causes the whiskers to extend to the data extremes
     * @default 1.5
     */
    coef: number;

    /**
     * the method to compute the quantiles. 7 and 'quantiles' refers to the type-7 method as used by R 'quantiles' method. 'hinges' and 'fivenum' refers to the method used by R 'boxplot.stats' method.
     * @default 7
     */
    quantiles: 7 | 'quantiles' | 'hinges' | 'fivenum' | ((sortedArr: number[]) => {min: number, q1: number, median: number, q3: number, max: number});
  };
}

Data structure

Both types support that the data is given as an array of numbers number[]. The statistics will be automatically computed. In addition, specific summary data structures are supported:

interface IBaseItem {
  min: number;
  median: number;
  max: number;
  /**
   * values of the raw items used for rendering jittered background points
   */
  items?: number[];
}

interface IBoxPlotItem extends IBaseItem {
  q1: number;
  q3: number;
  whiskerMin?: number;
  whiskerMax?: number;
  /**
   * list of box plot outlier values
   */
  outliers?: number[];
}

interface IKDESamplePoint {
  /**
   * sample value
   */
  v: number;
  /**
   * sample estimation
   */
  estimate: number;
}

interface IViolinItem extends IBaseItem {
  /**
   * samples of the underlying KDE
   */
  coords: IKDESamplePoint[];
}

Note: The statistics will be cached within the array. Thus, if you manipulate the array content without creating a new instance the changes won't be reflected in the stats. See also CodePen for a comparison.

Tooltips

In order to simplify the customization of the tooltips, two additional tooltip callback methods are available. Internally the label callback will call the correspondig callback depending on the type.

arr = {
  options: {
    tooltips: {
      callbacks: {
        /**
         * custom callback for boxplot tooltips
         * @param item see label callback
         * @param data see label callback
         * @param stats {IBoxPlotItem} the stats of the hovered element
         * @param hoveredOutlierIndex {number} the hovered outlier index or -1 if none
         * @return {string} see label callback
         */
        boxplotLabel: function(item, data, stats, hoveredOutlierIndex) {
          return 'Custom tooltip';
        },
        /**
         * custom callback for violin tooltips
         * @param item see label callback
         * @param data see label callback
         * @param stats {IViolinItem} the stats of the hovered element
         * @return {string} see label callback
         */
        violinLabel: function(item, data, stats) {
          return 'Custom tooltip';
        },
      }
    }
  }
}

Building

npm install
npm run build

Angular CLI Usage

Here is an example project based on Angular CLI with Angular 7 dependencies: https://github.com/sluger/ng-chartjs-boxplot

The incomaptibility with Webpack 4, mjs and Angular CLI can be solved by importing the chartjs boxplot library via the .js build artifact:

import "chartjs-chart-box-and-violin-plot/build/Chart.BoxPlot.js";

Developed by  datavisyn.