HTML_CSV_Data_Visualizer_Using_Chart.JS/index.html at main · yashsdoshi/HTML_CSV_Data_Visualizer_Using_Chart.JS · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Document</title>
</head>
<body>
    <div>
  <canvas id="myChart"></canvas>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/7.8.5/d3.min.js" integrity="sha512-M7nHCiNUOwFt6Us3r8alutZLm9qMt4s9951uo8jqO4UwJ1hziseL6O3ndFyigx6+LREfZqnhHxYjKRJ8ZQ69DQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>

<!-- Your HTML and script tags here -->

<script>
    const data = "data.csv";
    const ctx = document.getElementById('myChart');
    d3.csv(data).then(function(datapoints) {
        const labels = [];
        const downloadCounts = [];
        const backgroundColors = [];

        for (let i = 0; i < datapoints.length; i++) {
            labels.push(datapoints[i].AppDownloadDate);
            downloadCounts.push(datapoints[i].DownloadCount);
            backgroundColors.push(i % 2 === 0 ? 'rgba(0, 80, 0, 0.7)' : 'rgba(0, 250, 0, 1.0)');
        }

        new Chart(ctx, {
            type: 'bar',
            data: {
                labels: labels,
                datasets: [{
                    label: 'Download Count',
                    data: downloadCounts,
                    borderWidth: 1,
                    backgroundColor: backgroundColors,
                }]
            },
            options: {
                scales: {
                    y: {
                        beginAtZero: true,
                        max: 300 // Set the maximum value for the y-axis
                    }
                }
            }
        });
    });
</script>

</body>
</html>
<!-- comment -->