Interactive Dashboard Builder
Build self-contained HTML dashboards with Chart.js for data visualization
Download this file and place it in your project folder to get started.
# Build Interactive Dashboards
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
Describe the dashboard you want to build and optionally provide a data source.
## 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:
```
+--------------------------------------------------+
| Dashboard Title [Filters v] |
+------------+------------+------------+-----------+
| KPI Card | KPI Card | KPI Card | KPI Card |
+------------+------------+------------+-----------+
| | |
| Primary Chart | Secondary Chart |
| (largest area) | |
| | |
+-------------------------+------------------------+
| |
| Detail Table (sortable, scrollable) |
| |
+--------------------------------------------------+
```
**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 including:
**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
### 6. Add Interactivity
Implement 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
## Performance Considerations for Large Datasets
| 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. |
## 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
What This Does
Builds self-contained interactive HTML dashboards with charts, filters, tables, and professional styling. The generated dashboard opens directly in a browser with no server or dependencies required -- just share the HTML file with anyone.
Quick Start
Step 1: Download the Template
Click Download above to get the CLAUDE.md file.
Step 2: Set Up Your Project
Create a project folder and place the template inside:
my-dashboard-project/
├── CLAUDE.md
├── data/ # Place CSV/Excel files here
└── dashboards/ # Generated dashboards go here
Step 3: Start Working
claude
Say: "Build a monthly sales dashboard with revenue trend, top products, and regional breakdown"
Dashboard Layout
Every dashboard follows a standard layout pattern:
- KPI cards at the top for headline numbers (2-4 cards)
- Charts in the middle section for trends and breakdowns (1-3 charts)
- Detail table at the bottom for drill-down data (sortable, scrollable)
- Filters in the header or sidebar depending on complexity
Supported Chart Types
- Line chart: Time series trends
- Bar chart: Category comparisons
- Doughnut chart: Composition (when fewer than 6 categories)
- Stacked bar: Composition over time
- Mixed (bar + line): Volume with rate overlay
Data Size Guidelines
| Data Size | Approach |
|---|---|
| Less than 1,000 rows | Embed directly in HTML with 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 |
| More than 100,000 rows | Not suitable for client-side dashboard |
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
Example Prompts
"Build a monthly sales dashboard with revenue trend, top products, and regional breakdown. Data is in the orders table."
"Here's our support ticket data [paste CSV]. Build a dashboard showing volume by priority, response time trends, and resolution rates."
"Create a template executive dashboard for a SaaS company showing MRR, churn, new customers, and NPS. Use sample data."