Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.

/build dashboard Build Interactive Dashboards If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md). Build a self contained interactive HTML dashboard with charts, filters, tables, and professional styling. Opens directly in a browser no server or dependencies required. Usage Workflow 1. Understand the Dashboard Requirements Determine: Purpose : Executive overview, operational monitoring, deep dive analysis, team reporting Audience : Who will use this dashboard? Key metrics : What numbers matter most? Dimensions : What should users be able to filter or slice by? Data source : Live query, pasted data, CSV file, or sample data 2. Gather the Data If data warehouse is connected: 1. Query the necessary data 2. Embed the results as JSON within the HTML file If data is pasted or uploaded: 1. Parse and clean the data 2. Embed as JSON in the dashboard If working from a description without data: 1. Create a realistic sample dataset matching the described schema 2. Note in the dashboard that it uses sample data 3. Provide instructions for swapping in real data 3. Design the Dashboard Layout Follow a standard dashboard layout pattern: Adapt the layout to the content: 2 4 KPI cards at the top for headline numbers 1 3 charts in the middle section for trends and breakdowns Optional detail table at the bottom for drill down data Filters in the header or sidebar depending on complexity 4. Build the HTML Dashboard Generate a single self contained HTML file using the base template below. The file includes: Structure (HTML): Semantic HTML5 layout Responsive grid using CSS Grid or Flexbox Filter controls (dropdowns, date pickers, toggles) KPI cards with values and labels Chart containers Data table with sortable headers Styling (CSS): Professional color scheme (clean whites, grays, with accent colors for data) Card based layout with subtle shadows Consistent typography (system fonts for fast loading) Responsive design that works on different screen sizes Print friendly styles Interactivity (JavaScript): Chart.js for interactive charts (included via CDN) Filter dropdowns that update all charts and tables simultaneously Sortable table columns Hover tooltips on charts Number formatting (commas, currency, percentages) Data (embedded JSON): All data embedded directly in the HTML as JavaScript variables No external data fetches required Dashboard works completely offline 5. Implement Chart Types Use Chart.js for all charts. Common dashboard chart patterns: Line chart : Time series trends Bar chart : Category comparisons Doughnut chart : Composition (when <6 categories) Stacked bar : Composition over time Mixed (bar + line) : Volume with rate overlay Use the Chart.js integration patterns below for each chart type. 6. Add Interactivity Use the filter and interactivity implementation patterns below for dropdown filters, date range filters, combined filter logic, sortable tables, and chart updates. 7. Save and Open 1. Save the dashboard as an HTML file with a descriptive name (e.g., sales dashboard.html ) 2. Open it in the user's default browser 3. Confirm it renders correctly 4. Provide instructions for updating data or customizing Base Template Every dashboard follows this structure: KPI Card Pattern Chart.js Integration Chart Container Pattern Line Chart Bar Chart Doughnut Chart Updating Charts on Filter Change Filter and Interactivity Implementation Dropdown Filter Date Range Filter Combined Filter Logic Sortable Table CSS Styling for Dashboards Color System Layout KPI Cards Chart Containers Filters Data Table Responsive Design Performance Considerations for Large Datasets Data Size Guidelines Data Size Approach <1,000 rows Embed directly in HTML. Full interactivity. 1,000 10,000 rows Embed in HTML. May need to pre aggregate for charts. 10,000 100,000 rows Pre aggregate server side. Embed only aggregated data. 100,000 rows Not suitable for client side dashboard. Use a BI tool or paginate. Pre Aggregation Pattern Instead of embedding raw data and aggregating in the browser: Chart Performance Limit line charts to <500 data points per series (downsample if needed) Limit bar charts to <50 categories For scatter plots, cap at 1,000 points (use sampling for larger datasets) Disable animations for dashboards with many charts: animation: false in Chart.js options Use Chart.update('none') instead of Chart.update() for filter triggered updates DOM Performance Limit data tables to 100 200 visible rows. Add pagination for more. Use requestAnimationFrame for coordinated chart updates Avoid rebuilding the entire DOM on filter change update only changed elements Examples Tips Dashboards are fully self contained HTML files share them with anyone by sending the file For real time dashboards, consider connecting to a BI tool instead. These dashboards are point in time snapshots Request "dark mode" or "presentation mode" for different styling You can request a specific color scheme to match your brand

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