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How to create doughnut chart in React Bootstrap ?

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  • Difficulty Level : Expert
  • Last Updated : 01 Jul, 2021
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Doughnut charts are the modified version of Pie Charts with the area of center cut out. A doughnut is more concerned about the use of area of arcs to represent the information in the most effective manner instead of Pie chart which is more focused on comparing the proportion area between the slices. Doughnut charts are more efficient in terms of space because the blank space inside the donut charts can be used to display some additional information about the doughnut chart.

Creating React Application And Installing Module:

  • Step 1: Create a React application using the following command.
    npx create-react-app foldername
  • Step 2: After creating your project folder i.e. foldername, move to it using the following command.
    cd foldername
  • Step 3: After creating the ReactJS application, Install the required modules using the following command.
    npm install --save mdbreact react-chartjs-2
  • Step 4: Add Bootstrap CSS and fontawesome CSS to index.js.
    import '@fortawesome/fontawesome-free/css/all.min.css';  
    import 'bootstrap-css-only/css/bootstrap.min.css';  
    import 'mdbreact/dist/css/mdb.css';

Project Structure: It will look like the following.

Project Structure

Example: Now write down the following code in the App.js file. Here, App is our default component where we have written our code.


import React from "react";
import { MDBContainer } from "mdbreact";
import { Doughnut } from "react-chartjs-2";
const App = () => {
  // Sample data
  const data = {
    labels: ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
      datasets: [
          label: "Hours Studied in Geeksforgeeks",
          data: [2, 5, 6, 7, 3],
          backgroundColor: ["blue", "green", "yellow", "pink", "orange"],
  return (
      <Doughnut data={data} />
export default App;

Step to Run Application: Run the application using the following command from the root directory of the project:

npm start

Output: Now open your browser and go to http://localhost:3000/, you will see the following output:


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