Building Doughnut Charts with React Chart.js 2: Quick Guid

Semih Celik
3 min readJan 1, 2024

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Explore the essentials of building Doughnut Charts with React Chart.js 2 in this quick guide. Learn to create dynamic visualizations effortlessly, enhancing your data presentation with React simplicity.

Step 1: Install React Chart.js 2 Library

Navigate to your project directory in the terminal or command prompt and install React Chart.js 2 along with its dependency, Chart.js:

npm install --save chart.js react-chartjs-2
//or
yarn add chart.js react-chartjs-2

This command installs React Chart.js 2 and the required Chart.js library in your project.

Step 2: Create and Import the Component

Create a new component in your Nextjs application and import React Chart.js 2:

// src/components/MyDoughnutChart.js
"use client";
import React from "react";
import { Chart as ChartJS, ArcElement, Tooltip, Legend } from "chart.js";
import { Doughnut } from "react-chartjs-2";

ChartJS.register(ArcElement, Tooltip, Legend);

function YourChartComponent() {

let data= [
{
label: "Label 1",
value: 55,
color: "rgba(0, 43, 73, 1)",
cutout: "50%",
},
{
label: "Label 2",
value:15,
color: "rgba(0, 103, 160, 1)",
cutout: "50%",
},
{
label: "Label 3",
value: 80,
color: "rgba(83, 217, 217, 1)",
cutout: "50%",
},
]

const options: any = {
plugins: {
responsive: true,
},
cutout: data.map((item) => item.cutout),
};

const finalData = {
labels: data.map((item) => item.label),
datasets: [
{
data: data.map((item) => Math.round(item.value)),
backgroundColor: data.map((item) => item.color),
borderColor: data.map((item) => item.color),
borderWidth: 1,
dataVisibility: new Array(data.length).fill(true),
},
],
};

return <Doughnut data={finalData} options={options} />;
}

Basic Doughnut chart result:

Basic Doughnut chart

Now, we will enhance the basic Doughnut chart we’ve created.

//npm i chartjs-plugin-datalabels
...
import ChartDataLabels from "chartjs-plugin-datalabels";

ChartJS.register(ArcElement, Tooltip, Legend,ChartDataLabels);

function YourChartComponent() {

let data= [
{
label: "Label 1",
value: 55,
color: "rgba(0, 43, 73, 1)",
cutout: "50%",
},
{
label: "Label 2",
value:15,
color: "rgba(0, 103, 160, 1)",
cutout: "50%",
},
{
label: "Label 3",
value: 80,
color: "rgba(83, 217, 217, 1)",
cutout: "50%",
},
]

const options: any = {
plugins: {
datalabels: {
formatter: function (value) {
let val = Math.round(value);
return new Intl.NumberFormat("tr-TR").format(val); //for number format
},
color: "white",

font: {
weight: 'bold',
size:14,
family: 'poppins',
},
},
responsive: true,
},
cutout: data.map((item) => item.cutout),
};

const finalData = {
labels: data.map((item) => item.label),
datasets: [
{
data: data.map((item) => Math.round(item.value)),
backgroundColor: data.map((item) => item.color),
borderColor: data.map((item) => item.color),
borderWidth: 1,
dataVisibility: new Array(data.length).fill(true),
},
],
};

return <Doughnut data={finalData} options={options} />;
}
advance chart

By refining our initial Doughnut chart, we’ve taken a step towards creating more impactful visualizations. Explore further customization and features to elevate your data representation.More details you can find from here.

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