PChart

A really simple charting component made for React to display percentile charts, more specifically child growth charts.

Install

npm install --save pchart

Usage

1. Import the components in your project:

import {PChart, Dataset} from 'pchart';

2. Provide (or build yourself) a json object containing all the data needed to draw the percentile curves in the chart. To do this you will need statistical data in LMS format (see for example here). This object will contain some fields descriptiong the type of data and an array of LMS values. See the example below:

{
  title: [Data description, used as title for the chart],
  titleX: [Y axis title],
  unitX: [X axis unit, should be days|weeks|months|years],
  titleY: [Y axis title],
  unitY: [Y axis unit],
  sex: [Patient sex],
  dataType: [Type of patient measure],
  data: [
    [ x0, L0, M0, S0 ],
    [ x1, L1, M1, S1 ],
    ...
  ]
}

let percentileValues = {
  title: "Height per age, boys, from 5 to 19 year",
  titleX: "Months",
  unitX: "month",
  titleY: "Height (cm)",
  unitY: "cm",
  sex: "male",
  dataType: "height",
  data: [
    [ 61, 1, 110.2647, 0.04164],
    [ 62, 1, 110.8006, 0.04172],
    [ 63, 1, 111.3338, 0.0418],
    ...
  ]
}

3. Build the dataset used to construct your chart. For this step you need the percentile data object and an array of the percentile values to draw on the chart (reference lines).

const percentiles = [5,25,50,75,95];
let dataset = new Dataset(percentileValues, percentiles);

4. Provide an object containing all the patient data and measures

const patient = {
  firstname: 'John',
  lastname: 'Smith',
  sex: 'male',
  birthdate: '2018-01-14',
  color: 'red',
  measures: [
    {
      date: '2018-01-23',
      height: 51
    }
  ]
}

5. Finally, build the PChart:

<PChart width={1200} height={800} dataset={dataset} patients={patient}/>

Theming

You can override the default theme passing an object containing some styling properties. This is the content of the default theme:

const defaultTheme = {
  backgroundColor: 'transparent',
  backdropFill: '#FFFDE7',
  axisColor: '#707070',
  gridColor: '#FFD54F',
  areaColor: 'rgba(127,127,127, .3)'
}

The color of patient data points can be specified in the patient data structure (if not, the default is red).

PChart properties

Property	Type	Default	Description
width	number	800	Width in pixels of the chart
height	number	800	Height in pixels of the chart
dataset	object	null	The dataset object containingall the data used to build the reference percentile curves
patients	object or array	null	A single patient object, or an array of patient objects to be displayed on the chart
showtitle	boolean	false	If true, the percentile data description field will be shown above the chart as a title
showlabels	boolean	false	If true, a label indicating the percentile value will be shown above every patient data point in the chart
showlines	boolean	false	If true, every percentile point is connected with the next by a line
theme	object	null	An object containing styling properties used to override the default theme

Sample code

import React from 'react';
import {PChart, Dataset} from 'pchart';
import who_height_boys_013W from './who/height_boys_0-13W.json';

const percentiles = [5,25,50,75,95];
const patient = {
  firstname: 'John',
  lastname: 'Smith',
  sex: 'male',
  birthdate: '2018-01-14',
  measures: [
    {
      date: '2018-01-23',
      height: 51
    }
  ]
}
const theme = {
  backdropFill: '#B2EBF2',
  gridColor: '#00ACC1',
  areaColor: 'rgba(0,172,193,.4)'
}
const dataset = new Dataset(who_height_boys_013W, percentiles);

const Example = () => {
  return (
    <PChart width={1200} height={800} dataset={dataset} patients={patient} theme={theme} showtitle showlabels/>
  )
}

Example

To run the included example open the terminal in the project folder and run:

npm install
cd example
npm install
npm start

License

GNU GPL-3.0