Chart Js Examples Html - Height vs Weight Chart: Ideal Weight Guide

chart js examples html

Introduction

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Desk of Content material

1 Related Articles: chart js examples html
2 Introduction
3 Chart.js Examples: A Comprehensive Guide with HTML Implementation
4 Closure

Chart.js Examples: A Complete Information with HTML Implementation

Great Looking Chart.js Examples You Can Use On Your Website

Chart.js is a robust, open-source JavaScript charting library that simplifies the creation of interactive, responsive charts on your net purposes. Its ease of use, coupled with a variety of chart sorts and customization choices, makes it a preferred alternative for builders of all talent ranges. This text delves into numerous Chart.js examples, offering detailed HTML implementations and explanations that can assist you grasp this versatile library.

Establishing the Surroundings:

Earlier than we dive into particular examples, let’s guarantee you may have the required setup. You will want to incorporate the Chart.js library in your HTML file. You possibly can obtain it from the official Chart.js web site or use a CDN hyperlink. The CDN method is usually most well-liked for ease of use:

<!DOCTYPE html>
<html>
<head>
  <title>Chart.js Examples</title>
  <script src="https://cdn.jsdelivr.web/npm/chart.js"></script>
</head>
<physique>
  <canvas id="myChart"></canvas>
  <script>
    // Chart.js code will go right here
  </script>
</physique>
</html>

This code consists of the Chart.js library through a CDN and creates a <canvas> aspect with the ID "myChart". This canvas aspect will function the container for our charts.

Instance 1: Easy Bar Chart

Let’s begin with a fundamental bar chart. This instance shows the gross sales figures for various months:

<!DOCTYPE html>
<html>
<head>
  <title>Chart.js Examples</title>
  <script src="https://cdn.jsdelivr.web/npm/chart.js"></script>
</head>
<physique>
  <canvas id="myChart"></canvas>
  <script>
    const ctx = doc.getElementById('myChart').getContext('second');
    const myChart = new Chart(ctx, 
      kind: 'bar',
      information: 
        labels: ['January', 'February', 'March', 'April', 'May', 'June'],
        datasets: [
          label: 'Sales',
          data: [12, 19, 3, 5, 2, 3],
          backgroundColor: [
            'rgba(255, 99, 132, 0.2)',
            'rgba(54, 162, 235, 0.2)',
            'rgba(255, 206, 86, 0.2)',
            'rgba(75, 192, 192, 0.2)',
            'rgba(153, 102, 255, 0.2)',
            'rgba(255, 159, 64, 0.2)'
          ],
          borderColor: [
            'rgba(255, 99, 132, 1)',
            'rgba(54, 162, 235, 1)',
            'rgba(255, 206, 86, 1)',
            'rgba(75, 192, 192, 1)',
            'rgba(153, 102, 255, 1)',
            'rgba(255, 159, 64, 1)'
          ],
          borderWidth: 1
        ]
      ,
      choices: 
        scales: 
          y: 
            beginAtZero: true
          
        
      
    );
  </script>
</physique>
</html>

This code creates a easy bar chart with gross sales information for six months. Discover the usage of labels, datasets (containing information and styling data), and choices to customise the chart’s look. The beginAtZero choice ensures the y-axis begins at zero.

Instance 2: Line Chart with A number of Datasets

Line charts are perfect for visualizing tendencies over time. This instance reveals web site visitors from totally different sources:

<!-- ... (Embrace Chart.js as in Instance 1) ... -->
<canvas id="myLineChart"></canvas>
<script>
  const ctx2 = doc.getElementById('myLineChart').getContext('second');
  const myLineChart = new Chart(ctx2, 
    kind: 'line',
    information: 
      labels: ['Week 1', 'Week 2', 'Week 3', 'Week 4'],
      datasets: [
        label: 'Organic Traffic',
        data: [100, 120, 150, 180],
        borderColor: 'rgb(75, 192, 192)',
        fill: false
      , 
        label: 'Paid Visitors',
        information: [50, 60, 70, 80],
        borderColor: 'rgb(255, 99, 132)',
        fill: false
      ]
    
  );
</script>

This code creates a line chart with two datasets representing natural and paid web site visitors. The fill: false choice prevents the realm beneath the strains from being crammed.

Instance 3: Pie Chart Displaying Share Distribution

Pie charts are wonderful for showcasing proportions:

<!-- ... (Embrace Chart.js as in Instance 1) ... -->
<canvas id="myPieChart"></canvas>
<script>
  const ctx3 = doc.getElementById('myPieChart').getContext('second');
  const myPieChart = new Chart(ctx3, 
    kind: 'pie',
    information: 
      labels: ['A', 'B', 'C', 'D'],
      datasets: [
        data: [30, 20, 25, 25],
        backgroundColor: [
          'rgba(255, 99, 132, 0.8)',
          'rgba(54, 162, 235, 0.8)',
          'rgba(255, 206, 86, 0.8)',
          'rgba(75, 192, 192, 0.8)'
        ]
      ]
    
  );
</script>

This instance shows a easy pie chart exhibiting the proportion distribution of 4 classes.

Instance 4: Doughnut Chart – Just like Pie however with a Gap

A doughnut chart is just like a pie chart however has a gap within the heart:

<!-- ... (Embrace Chart.js as in Instance 1) ... -->
<canvas id="myDoughnutChart"></canvas>
<script>
  const ctx4 = doc.getElementById('myDoughnutChart').getContext('second');
  const myDoughnutChart = new Chart(ctx4, 
    kind: 'doughnut',
    information: 
      // ... (identical information as pie chart instance) ...
    
  );
</script>

Merely change the kind to doughnut to create a doughnut chart utilizing the identical information because the pie chart instance.

Instance 5: Scatter Chart for Correlation Evaluation

Scatter charts are used to point out the connection between two variables:

<!-- ... (Embrace Chart.js as in Instance 1) ... -->
<canvas id="myScatterChart"></canvas>
<script>
  const ctx5 = doc.getElementById('myScatterChart').getContext('second');
  const myScatterChart = new Chart(ctx5, 
    kind: 'scatter',
    information: 
      datasets: [
        label: 'Dataset 1',
        data: [x: 10, y: 20, x: 20, y: 40, x: 30, y: 60],
        backgroundColor: 'rgba(255, 99, 132, 0.8)'
      ]
    
  );
</script>

This creates a scatter chart illustrating the correlation between x and y values.

Instance 6: Radar Chart for Evaluating A number of Metrics

Radar charts are helpful for evaluating a number of metrics for a single topic:

<!-- ... (Embrace Chart.js as in Instance 1) ... -->
<canvas id="myRadarChart"></canvas>
<script>
  const ctx6 = doc.getElementById('myRadarChart').getContext('second');
  const myRadarChart = new Chart(ctx6, 
    kind: 'radar',
    information: 
      labels: ['Speed', 'Strength', 'Agility', 'Stamina'],
      datasets: [
        label: 'Player A',
        data: [60, 80, 70, 90],
        fill: true,
        backgroundColor: 'rgba(255, 99, 132, 0.2)',
        borderColor: 'rgba(255, 99, 132, 1)'
      ]
    
  );
</script>

This instance reveals a radar chart evaluating 4 attributes of a participant.

Superior Customization:

Chart.js provides intensive customization choices, together with:

Tooltips: Management the data displayed when hovering over information factors.
Legends: Show a legend exhibiting the which means of various colours or datasets.
Scales: Customise the axes (linear, logarithmic, time scales).
Animations: Add animations to make the charts extra partaking.
Plugins: Prolong Chart.js performance with customized plugins.

By combining these examples and exploring the intensive documentation, you may create refined and visually interesting charts to reinforce your net purposes. Bear in mind to seek the advice of the official Chart.js documentation for a complete checklist of choices and options. The flexibleness and ease of use make Chart.js a useful instrument for any net developer. Experiment with totally different chart sorts, information units, and customization choices to find the total potential of this highly effective library. It’s also possible to discover community-created plugins to additional prolong its performance and create much more visually spectacular and informative charts.

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