Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.vchata.com/llms.txt

Use this file to discover all available pages before exploring further.

​
Overview

VChata widgets provide powerful data visualization and interactive components for displaying statistics, charts, and other data representations in your dashboard and applications.

​
Widget Types

​
Statistics Widget

Route: /widget/statistics Display key performance indicators and statistical data in an easy-to-read format.

KPI Display

Show important metrics and performance indicators

Comparison Views

Compare current vs previous periods
Features:
  • Real-time metric updates
  • Customizable display formats
  • Interactive tooltips and details
  • Export capabilities for reports

​
Data Widget

Route: /widget/data Advanced data visualization widget for displaying complex datasets and information.

Data Tables

Structured data display with sorting and filtering

Data Export

Export data in multiple formats (CSV, JSON, PDF)
Features:
  • Sortable and filterable data tables
  • Multiple data format support
  • Advanced search capabilities
  • Data export in various formats

​
Chart Widget

Route: /widget/chart Interactive charting widget with multiple chart types and customization options.

Chart Types

Line, bar, pie, and area charts

Interactive Features

Zoom, pan, and drill-down capabilities
Features:
  • Multiple chart types (line, bar, pie, area, scatter)
  • Interactive zoom and pan functionality
  • Drill-down capabilities for detailed views
  • Customizable colors and styling
  • Real-time data updates

​
Widget Configuration

​
Basic Setup

1

Select Widget Type

Choose the appropriate widget type based on your data visualization needs
2

Configure Data Source

Connect your widget to the relevant data source or API endpoint
3

Customize Display

Set colors, labels, and other visual properties
4

Add to Dashboard

Place the widget in your desired dashboard location

​
Advanced Configuration

  • Connect to real-time data streams
  • Set up automatic refresh intervals
  • Configure data transformation rules
  • Handle data loading states and errors
  • Choose color schemes and themes
  • Set custom labels and titles
  • Configure responsive breakpoints
  • Add custom CSS styling
  • Enable/disable zoom and pan
  • Configure click handlers and events
  • Set up drill-down navigation
  • Add tooltip customizations

​
Widget Integration

​
Dashboard Integration

1

Add Widget

Drag and drop widgets from the widget library to your dashboard
2

Position and Size

Resize and position widgets for optimal layout
3

Configure Connections

Connect widgets to share data or trigger actions
4

Test Functionality

Verify all interactive features work correctly

​
API Integration

const widgetConfig = {
  type: 'statistics',
  dataSource: '/api/metrics/summary',
  refreshInterval: 30000,
  display: {
    showTrend: true,
    format: 'number',
    precision: 2
  }
};

// Initialize widget
const widget = new VChataWidget(widgetConfig);
widget.render('#widget-container');

​
Best Practices

  • Use appropriate refresh intervals to balance real-time updates with performance
  • Implement data caching for frequently accessed information
  • Optimize chart rendering for large datasets
  • Use lazy loading for widgets not immediately visible
  • Keep widgets focused on specific metrics or data types
  • Provide clear labels and context for displayed data
  • Use consistent styling across all widgets
  • Implement responsive design for mobile compatibility
  • Validate data sources and handle errors gracefully
  • Show loading states while data is being fetched
  • Provide data freshness indicators
  • Implement fallback displays for missing data

​
Troubleshooting

​
Common Issues

  • Check data source connectivity
  • Verify widget configuration parameters
  • Ensure proper permissions for data access
  • Check browser console for JavaScript errors
  • Verify refresh interval settings
  • Check data source availability
  • Look for API rate limiting issues
  • Ensure proper authentication for data endpoints
  • Reduce data volume or sampling rate
  • Optimize chart rendering settings
  • Implement data pagination for large datasets
  • Consider using data aggregation for better performance