Response Details (ID: 345 - UIGEN-X-4B-0729)

Text Before HTML:

We are building a scientific data visualization dashboard with complex, interactive graphs, filters, and export options.
 The design should be modern and clean, using Tailwind CSS for styling.
 We'll take inspiration from the provided template in terms of layout and animations but adapt it for a data dashboard.

 Key features:
 1. Multiple interactive charts (e.g., line, bar, scatter plots) with real-time updates.
 2. Filter controls (e.g., date range, category, numerical ranges) that update the charts.
 3. Export options (e.g., export as PNG, CSV, JSON).
 4. A clean, professional color scheme suitable for a scientific dashboard.

 We'll structure the page as follows:
  - Navigation bar at the top with the dashboard title and user controls.
  - A sidebar for filters on the left.
  - Main content area with multiple chart components.

 We'll use:
  - Chart.js for the graphs (with react-chartjs-2 for React, but note: we are using plain HTML/CSS/JS).
  - However, since we are not using React, we'll use Chart.js directly with vanilla JS.

 But note: the problem says "make this in Tailwind html css", so we are to output a static HTML file with embedded CSS and JS.

 Steps:
  1. Set up the HTML structure with Tailwind via CDN.
  2. Include Chart.js via CDN.
  3. Create a responsive layout with a sidebar and main content.
  4. Implement filter controls (using HTML form elements) that update the charts.
  5. Implement chart components that can be updated by the filters.
  6. Add export buttons for each chart (export as PNG, and maybe data as CSV).

 We'll use a color scheme that is professional and easy on the eyes. Let's choose:
   - Primary: #2563eb (a shade of blue, commonly used in dashboards)
   - Background: #f8fafc (light grayish blue)
   - Text: #1e293b (dark blue-gray)
   - Accent: #0ea5e9 (a lighter blue for highlights)

 We'll also add some animations for when the charts load and when filters change.

 Important: We are to focus on the complexity and layout of the template, so we'll have:
   - A fixed header with navigation.
   - A main content area with a grid of charts.
   - A sidebar with filters.

 We'll create:
   - A line chart for time series data.
   - A bar chart for categorical data.
   - A scatter plot for correlation.
   - A heatmap for matrix data.

 We'll also have a data table that can be exported.

 However, note: the problem says "complex, interactive graphs", so we'll focus on the charts and filters.

 Let's start coding.


# Scientific Data Visualization Dashboard

I'll create a modern, interactive scientific data visualization dashboard with complex graphs, filters, and export options using Tailwind CSS.

Generated HTML Page:

Text After HTML:

## Key Features of the Scientific Data Visualization Dashboard

1. **Modern Dashboard Layout**
   - Responsive grid-based design with sidebar navigation
   - Clean, professional color scheme with primary blue and secondary teal accents
   - Dark sidebar for contrast with light main content area

2. **Interactive Data Visualizations**
   - Time series chart showing experimental data over time
   - Scatter plot for variable correlation analysis
   - Bar chart for project performance comparison
   - Doughnut chart for data distribution
   - Heatmap for experimental conditions

3. **Comprehensive Filtering System**
   - Category filters for each visualization
   - Active state indicators for selected filters
   - Multiple filter options for data exploration

4. **Data Management**
   - Experimental data table with sorting capabilities
   - Pagination for large datasets
   - Export functionality for data and visualizations

5. **Performance Metrics**
   - Key statistics cards showing important research metrics
   - Trend indicators for performance changes
   - Storage usage monitoring

6. **Responsive Design**
   - Adapts to different screen sizes
   - Mobile-friendly navigation
   - Optimized chart sizing for various devices

The dashboard uses Chart.js for all visualizations and implements smooth animations for a polished user experience. The design follows modern UI/UX principles with a focus on data clarity and accessibility.