The reason why you choose an HTML dashboard when displaying data is that it is simple and practical. First, determine the data source, such as CSV, Excel, database or API, and the front-end can be processed in JSON format; second, use chart libraries such as Chart.js to achieve visualization, such as drawing a bar chart with canvas; then use CSS Grid or Flexbox to layout and add responsive design; finally pay attention to issues such as loading order and data format to ensure the display effect.
When doing data display, HTML dashboards are actually quite practical choices. Especially when you need to quickly build a page that presents data intuitively, you don’t need to have too complicated frameworks, just use HTML to match a little CSS and JavaScript.

Select the right data source
Before you start, you have to determine where your data comes from. Common sources include CSV files, Excel tables, database export files, or API interfaces.
If you are mainly front-end development, you may prefer to use the JSON format because JS is easy to handle. For example, you can write a simple fetch
request to get data from the backend interface:
fetch('/api/data') .then(res => res.json()) .then(data => updateDashboard(data));
If it is a static page, you can also write the data directly into JS variables. Although it is not flexible enough, it is enough for small projects.

Use the right chart library to visualize data
It is not enough to have data alone, so it needs to be "understand". Commonly used chart libraries include Chart.js , D3.js , Plotly.js , etc.
Chart.js is a great choice for most HTML dashboards because it is lightweight, easy to use and suitable for fast integration.
For example, if you want to draw a bar chart to show monthly sales:

<canvas id="salesChart"></canvas> <script src="https://cdn.jsdelivr.net/npm/chart.js"></script> <script> const ctx = document.getElementById('salesChart').getContext('2d'); new Chart(ctx, { type: 'bar', data: { labels: ['January', 'February', 'March'], datasets: [{ label: 'Sales', data: [12000, 15000, 13000], backgroundColor: '#4CAF50' }] } }); </script>
This will allow you to quickly display a chart. If you need multiple charts, remember to have a different ID for each <canvas>
.
Layout and responsive design cannot be ignored
A good-looking dashboard is very important. You can use CSS Grid or Flexbox to organize each block. It is recommended to use Grid as the overall structure, and Flexbox controls internal arrangement.
For example, a basic two-column layout:
.dashboard { display: grid; grid-template-columns: 1fr 1fr; gap: 20px; }
Don't forget to add responsive processing, especially when viewing the dashboard on different devices:
@media (max-width: 768px) { .dashboard { grid-template-columns: 1fr; } }
In addition, consider introducing frameworks like Bootstrap to simplify the implementation of responsive layouts, especially if you don't want to write CSS from scratch.
Basically that's it. HTML dashboards are not complicated, but there are many details, such as loading order, chart update logic, and unified data formats, which are easy to get stuck. As long as the structure is clear, the data is accurate, and the interface is neat, it can already meet most display needs.
The above is the detailed content of Building HTML Dashboards with Data. For more information, please follow other related articles on the PHP Chinese website!

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