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Overview

Cristalyse provides rich interaction capabilities that make your charts engaging and informative. From simple tooltips to complex pan and zoom operations, every interaction is optimized for performance and accessibility.

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Tooltip Interactions

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Basic Tooltips

Show contextual information when users hover over data points: 
CristalyseChart()
  .data(data)
  .mapping(x: 'month', y: 'revenue')
  .geomPoint()
  .tooltip(DefaultTooltips.simple('revenue'))
  .build()

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Multi-Column Tooltips

Display multiple data fields in formatted tooltips: 
CristalyseChart()
  .data(data)
  .mapping(x: 'week', y: 'sales', color: 'region')
  .geomBar()
  .tooltip(DefaultTooltips.multi({
    'week': 'Week',
    'sales': 'Sales ($)',
    'region': 'Region',
    'growth': 'Growth Rate',
  }))
  .build()

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Custom Tooltip Builders

Create rich, branded tooltips with custom styling: 
CristalyseChart()
  .data(data)
  .mapping(x: 'date', y: 'price', color: 'symbol')
  .geomLine()
  .tooltip((point) {
    return Container(
      padding: const EdgeInsets.all(12),
      decoration: BoxDecoration(
        color: Colors.black.withOpacity(0.9),
        borderRadius: BorderRadius.circular(8),
        border: Border.all(color: Colors.white24),
        boxShadow: const [
          BoxShadow(
            color: Colors.black26,
            blurRadius: 12.0,
            offset: Offset(0, 4),
          ),
        ],
      ),
      child: Column(
        mainAxisSize: MainAxisSize.min,
        crossAxisAlignment: CrossAxisAlignment.start,
        children: [
          Text(
            '${point.getDisplayValue('symbol')}',
            style: const TextStyle(
              color: Colors.white,
              fontWeight: FontWeight.bold,
              fontSize: 14,
            ),
          ),
          const SizedBox(height: 4),
          Text(
            'Price: \$${point.getDisplayValue('price')}',
            style: const TextStyle(color: Colors.white),
          ),
          Text(
            'Date: ${point.getDisplayValue('date')}',
            style: const TextStyle(color: Colors.white70, fontSize: 12),
          ),
        ],
      ),
    );
  })
  .build()

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Tooltip Configuration

Fine-tune tooltip behavior and appearance: 
CristalyseChart()
  .data(data)
  .mapping(x: 'x', y: 'y')
  .geomPoint()
  .interaction(
    tooltip: TooltipConfig(
      builder: DefaultTooltips.simple('value'),
      showDelay: const Duration(milliseconds: 100),
      hideDelay: const Duration(milliseconds: 500),
      followPointer: true,
      backgroundColor: const Color(0xFF323232),
      textColor: Colors.white,
      borderRadius: 8.0,
      padding: const EdgeInsets.all(12),
      shadow: const BoxShadow(
        color: Colors.black26,
        blurRadius: 8.0,
        offset: Offset(0, 2),
      ),
    ),
  )
  .build()

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Hover Interactions

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Basic Hover Detection

Respond to mouse hover events on data points: 
CristalyseChart()
  .data(data)
  .mapping(x: 'category', y: 'value')
  .geomBar()
  .onHover((point) {
    if (point != null) {
      print('Hovering over: ${point.getDisplayValue('category')}');
    } else {
      print('No longer hovering');
    }
  })
  .build()

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Advanced Hover Configuration

Control hover sensitivity and debouncing: 
CristalyseChart()
  .data(data)
  .mapping(x: 'x', y: 'y')
  .geomPoint(size: 8.0)
  .interaction(
    hover: HoverConfig(
      onHover: (point) {
        // Handle hover start
        if (point != null) {
          setState(() {
            hoveredPoint = point;
          });
        }
      },
      onExit: (point) {
        // Handle hover end
        setState(() {
          hoveredPoint = null;
        });
      },
      hitTestRadius: 20.0, // Generous hit area
      debounce: const Duration(milliseconds: 50),
    ),
  )
  .build()

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Click Interactions

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Simple Click Handlers

Handle tap events on data points: 
CristalyseChart()
  .data(data)
  .mapping(x: 'month', y: 'revenue')
  .geomBar()
  .onClick((point) {
    Navigator.push(
      context,
      MaterialPageRoute(
        builder: (context) => DetailPage(data: point.data),
      ),
    );
  })
  .build()

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Multiple Click Types

Support different interaction patterns: 
CristalyseChart()
  .data(data)
  .mapping(x: 'x', y: 'y', color: 'category')
  .geomPoint()
  .interaction(
    click: ClickConfig(
      onTap: (point) {
        showBottomSheet(
          context: context,
          builder: (context) => DataPointDetails(point: point),
        );
      },
      onDoubleTap: (point) {
        showDialog(
          context: context,
          builder: (context) => AlertDialog(
            title: Text('Edit Data Point'),
            content: EditDataPointForm(point: point),
          ),
        );
      },
      onLongPress: (point) {
        Clipboard.setData(ClipboardData(
          text: 'Value: ${point.getDisplayValue('y')}',
        ));
        ScaffoldMessenger.of(context).showSnackBar(
          const SnackBar(content: Text('Copied to clipboard')),
        );
      },
      hitTestRadius: 15.0,
    ),
  )
  .build()

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Pan and Zoom Interactions

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Basic Panning

Enable horizontal scrolling through large datasets: 
CristalyseChart()
  .data(largeTimeSeriesData)
  .mapping(x: 'timestamp', y: 'value')
  .geomLine()
  .onPan((info) {
    print('Visible range: ${info.visibleMinX} to ${info.visibleMaxX}');
    // Update data source or trigger lazy loading
    if (info.state == PanState.end) {
      fetchDataForRange(info.visibleMinX, info.visibleMaxX);
    }
  })
  .build()

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Advanced Pan Configuration

Full control over pan behavior: 
CristalyseChart()
  .data(data)
  .mapping(x: 'time', y: 'metric')
  .geomLine()
  .geomPoint()
  .interaction(
    pan: PanConfig(
      enabled: true,
      updateXDomain: true,  // Enable X-axis panning
      updateYDomain: false, // Disable Y-axis panning
      onPanStart: (info) {
        setState(() {
          isPanning = true;
        });
      },
      onPanUpdate: (info) {
        setState(() {
          visibleRange = '${info.visibleMinX?.toStringAsFixed(1)} - ${info.visibleMaxX?.toStringAsFixed(1)}';
        });
      },
      onPanEnd: (info) {
        setState(() {
          isPanning = false;
        });
        // Fetch new data for visible range
        loadDataForVisibleRange(info.visibleMinX, info.visibleMaxX);
      },
      throttle: const Duration(milliseconds: 16), // 60 FPS
    ),
  )
  .build()

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Pan with Data Loading

Implement infinite scrolling patterns: 
class PanningChart extends StatefulWidget {
  @override
  _PanningChartState createState() => _PanningChartState();
}

class _PanningChartState extends State<PanningChart> {
  List<Map<String, dynamic>> visibleData = [];
  double currentMinX = 0;
  double currentMaxX = 100;

  @override
  void initState() {
    super.initState();
    loadDataForRange(currentMinX, currentMaxX);
  }

  void loadDataForRange(double? minX, double? maxX) async {
    if (minX == null || maxX == null) return;
    
    // Simulate API call
    final newData = await fetchTimeSeriesData(minX, maxX);
    setState(() {
      visibleData = newData;
      currentMinX = minX;
      currentMaxX = maxX;
    });
  }

  @override
  Widget build(BuildContext context) {
    return CristalyseChart()
      .data(visibleData)
      .mapping(x: 'timestamp', y: 'value', color: 'series')
      .geomLine(strokeWidth: 2.0)
      .scaleXContinuous(min: currentMinX, max: currentMaxX)
      .interaction(
        pan: PanConfig(
          enabled: true,
          updateXDomain: true,
          onPanEnd: (info) => loadDataForRange(
            info.visibleMinX, 
            info.visibleMaxX,
          ),
        ),
        tooltip: TooltipConfig(
          builder: DefaultTooltips.multi({
            'timestamp': 'Time',
            'value': 'Value',
            'series': 'Series',
          }),
        ),
      )
      .build();
  }
}

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Combined Interactions

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Rich Interactive Dashboard

Combine multiple interaction types for powerful user experience: 
CristalyseChart()
  .data(data)
  .mapping(x: 'date', y: 'price', color: 'symbol', size: 'volume')
  .geomPoint(alpha: 0.8)
  .interaction(
    tooltip: TooltipConfig(
      builder: (point) => RichTooltip(
        title: point.getDisplayValue('symbol'),
        fields: {
          'price': 'Price',
          'volume': 'Volume',
          'change': 'Change %',
        },
        point: point,
      ),
      showDelay: const Duration(milliseconds: 50),
      hideDelay: const Duration(milliseconds: 300),
    ),
    hover: HoverConfig(
      onHover: (point) => highlightRelatedPoints(point),
      onExit: (point) => clearHighlights(),
      hitTestRadius: 12.0,
    ),
    click: ClickConfig(
      onTap: (point) => showStockDetails(point),
      onDoubleTap: (point) => addToWatchlist(point),
    ),
    pan: PanConfig(
      enabled: true,
      updateXDomain: true,
      onPanUpdate: (info) => updateVisibleTimeRange(info),
    ),
  )
  .build()

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Performance Optimization

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Large Dataset Interactions

Optimize interactions for thousands of data points: 
CristalyseChart()
  .data(largeDataset) // 10,000+ points
  .mapping(x: 'x', y: 'y', color: 'category')
  .geomPoint(size: 3.0, alpha: 0.7)
  .interaction(
    tooltip: TooltipConfig(
      builder: DefaultTooltips.simple('y'),
      showDelay: const Duration(milliseconds: 10), // Fast response
    ),
    hover: HoverConfig(
      hitTestRadius: 8.0, // Smaller hit area for performance
      debounce: const Duration(milliseconds: 16), // 60 FPS
    ),
    pan: PanConfig(
      enabled: true,
      throttle: const Duration(milliseconds: 32), // 30 FPS for panning
    ),
  )
  .build()

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Memory-Efficient Tooltips

Reuse tooltip widgets to reduce memory allocation: 
class PerformantTooltips {
  static final _tooltipPool = <Widget>[];
  
  static Widget pooled(DataPointInfo point) {
    // Reuse existing tooltip widgets when possible
    return Text('Value: ${point.getDisplayValue('value')}');
  }
}

CristalyseChart()
  .data(data)
  .mapping(x: 'x', y: 'y')
  .geomPoint()
  .tooltip(PerformantTooltips.pooled)
  .build()

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Accessibility

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Screen Reader Support

Ensure interactions work with assistive technologies: 
CristalyseChart()
  .data(data)
  .mapping(x: 'month', y: 'revenue')
  .geomBar()
  .interaction(
    tooltip: TooltipConfig(
      builder: (point) => Semantics(
        label: 'Revenue for ${point.getDisplayValue('month')}: \$${point.getDisplayValue('revenue')}k',
        child: DefaultTooltips.simple('revenue')(point),
      ),
    ),
    click: ClickConfig(
      onTap: (point) {
        // Announce selection to screen readers
        SemanticsService.announce(
          'Selected ${point.getDisplayValue('month')} with revenue \$${point.getDisplayValue('revenue')}k',
          TextDirection.ltr,
        );
      },
    ),
  )
  .build()

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Keyboard Navigation

Support keyboard-only users: 
class KeyboardNavigableChart extends StatefulWidget {
  @override
  _KeyboardNavigableChartState createState() => _KeyboardNavigableChartState();
}

class _KeyboardNavigableChartState extends State<KeyboardNavigableChart> {
  int? selectedIndex;

  @override
  Widget build(BuildContext context) {
    return Focus(
      onKey: (node, event) {
        if (event is RawKeyDownEvent) {
          if (event.logicalKey == LogicalKeyboardKey.arrowRight) {
            setState(() {
              selectedIndex = (selectedIndex ?? -1) + 1;
              selectedIndex = selectedIndex!.clamp(0, data.length - 1);
            });
            return KeyEventResult.handled;
          }
          // Handle other keys...
        }
        return KeyEventResult.ignored;
      },
      child: CristalyseChart()
        .data(data)
        .mapping(x: 'x', y: 'y')
        .geomPoint()
        .build(),
    );
  }
}

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Best Practices

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Interaction Examples

Rich Tooltips

Multi-column tooltips with custom styling and animations

Click Actions

Navigation, details, and context menus triggered by clicks

Pan & Zoom

Explore large datasets with smooth panning interactions

Hover Effects

Visual highlights and data previews on mouse hover

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Next Steps

Animations

Combine interactions with smooth animations

Theming

Style interaction elements to match your design

Performance

Optimize interactions for large datasets

Export

Export charts while preserving interaction data