Enabling Accessibility | Features | Skip-to-Content Link | Focus Indicators | Modal Focus Trapping | Tab Keyboard Navigation | ARIA Live Region | Reduced Motion | Alt Text for Visualizations | ARIA Labels on Value Boxes and Metrics | Example Dashboard | WCAG 2.1 AA Notes

🔍 Filtering Data | Why Use Filters? | Filter Syntax | Basic Example: Comparing Groups | Complex Filters: Multiple Conditions | Filters vs. group_var | Filter + title_tabset: Organized Comparisons | 📚 Batch Creation with add_vizzes() | The Problem: Repetitive Code | The Solution: Vector Parameters | How It Works | Different Tabgroups Per Viz | 🎚️ Interactive Inputs | How Inputs Work | Input Types | Select Dropdowns | Grouped Options | Checkbox & Radio Buttons | Sliders | Switch (Toggle Series) | Input Layout | Input Parameters Reference | Complete Example | 📋 Page Sidebars | Why Use Sidebars? | Basic Sidebar | Sidebar Position | Sidebar Content | Multi-Column Inputs | Different Sidebars Per Page | Sidebar Parameters | Mobile Behavior | 🔄 Cross-Tab Filtering & Dynamic Titles | Conditional Visibility with show_when | Dynamic Titles with Placeholders | Derived Placeholders with title_map | Consistent Colors with Named color_palette | Series Ordering with group_order | Complete Sidebar Example | ⚖️ Survey Weights | Why Use Weights? | Applying Weights | Weight as a Default | 🎯 Customizing Tooltips | Quick Customization (Tier 1) | Format Strings (Tier 2) | Full Control (Tier 3) | 🎨 Icons | Icon Format | Popular Icon Sets | Page Icons | Tabgroup Icons | Icons in Text | Finding Icons | Best Practice: Consistency | 🪟 Modals | Why Use Modals? | Basic Modal Usage | Modal with Image | Modal with Data Table | Modal Parameters | Multiple Modals on One Page | Low-Level Modal Functions | 🧭 Navbar Customization | Dropdown Menus | External Links | Sidebar Navigation | Page Alignment | 🎨 Tab Styling | Available Themes | Custom Colors | Example: Corporate Theme | Example: Dark Theme | ⚡ Lazy Loading | When to Use Lazy Loading | Enable Lazy Loading | When to Use | Loading Overlays | 🏷️ Powered by dashboardr Branding | Style Options | Size Options | Combining with Custom Footer | Related Vignettes

Backend overview | Licensing & Usage Warnings | Supported Backends | Default: Highcharter | Switching Backends | Plotly | ECharts | ggiraph | Collection-Wide Backend | Dashboard-Wide Backend | Validation with print(check = TRUE) | Limitations

📦 What Content Collections Store | ⚙️ The Defaults System | Why Use Defaults? | Override Hierarchy | Any Parameter Can Be a Default | 🏷️ Custom Labels and Tooltips | Axis Labels | Tooltip Customization | ➕ Combining Collections | The + Operator | combine_viz() | 📊 Visualization Types | Bar Charts | Means with Error Bars | Stacked Bars | Histograms | Density Plots | Box Plots | Multiple Stacked Bars (Likert Scales) | Timeline | Heatmap | Scatter Plots | Treemap | Map | 📁 Organizing with Tabgroups | Nested Tabgroups | Custom Tab Labels | 📝 Content Blocks | Text Blocks | Callouts | Cards | Accordions | Quotes | Badges | Metrics | Value Boxes | Value Box Rows | Code Blocks | Images | Videos | iframes | Raw HTML | 📊 Tables and Custom Charts | gt Tables | Reactable Tables | DT DataTables | Basic Tables | Custom Highcharter Charts | 📈 Working with Pre-aggregated Data | Bar Charts with Pre-aggregated Data | Stacked Bars with Pre-aggregated Data | Histograms with Pre-aggregated Data | Timelines with Pre-aggregated Data | Heatmaps with Pre-aggregated Data | Treemaps with Pre-aggregated Data | 🔲 Layout Helpers | Dividers | Spacers | 👁️ Previewing Content | Limitations of Preview | ➡️ Next Steps

📖 Introduction | 📊 Basic Box Plot | 📊 Grouped Box Plots | 🎓 Box Plot by Education Level | ⚙️ Controlling Outlier Display | ↔️ Horizontal Box Plots | 🏷️ Custom Category Labels | 🔢 Custom Category Order | 🎨 Custom Color Palette | 🔍 Handling Missing Values | 📊 Comparing Multiple Groups | 📚 Summary

📖 Introduction | 📊 Basic Density Plot | 📊 Grouped Densities | 🎨 Customizing Appearance | Adjusting Fill Opacity | Adding Rug Marks | ⚙️ Controlling Bandwidth | Low Bandwidth (More Detail) | High Bandwidth (Smoother) | 📊 Multiple Group Comparison | 🔍 Handling Missing Groups | 🔢 Custom Group Ordering | 📚 Summary

📖 Introduction | 📊 Basic Histograms | ⚙️ Controlling Bin Size | Few Bins (Smooth) | Many Bins (Detailed) | 🔢 Count vs. Percent | 🎨 Custom Colors | 👁️ Hiding Data Labels | 🏷️ Labels and Tooltips | 📁 Using with create_content() | Multiple Histograms with Filters | Multiple Variables | 🔍 Interpreting Histograms | Distribution Shapes | What to Look For | 💡 When to Use Histograms | 📚 See Also

📖 Introduction | Preparing Map Data | 🌍 World Map: Life Expectancy | 💰 World Map: GDP per Capita | 📋 Available Map Types | 🔍 When to Use Maps | 📚 See Also

📖 Introduction | 📊 Basic Scatter Plots | 📈 Adding Trend Lines | 🎨 Coloring by Groups | 📊 Age vs Education | 👁️ Handling Overlap with Transparency | 🏷️ Labels and Tooltips | 📁 Using with create_content() | With Filters | Multiple Relationships | 🔍 Interpreting Scatter Plots | Correlation Patterns | What to Look For | 💡 When to Use Scatter Plots | 📚 See Also

📖 Introduction | 📊 Basic Treemaps | Simple Category Sizes | Race Distribution | 🏗️ Hierarchical Treemaps | Region by Race | 🎨 Custom Colors | 🏷️ Labels and Tooltips | 📁 Using with create_content() | Basic Integration | Multiple Treemaps | 💡 Data Preparation Tips | Simple Counts | Hierarchical Counts | With Calculated Values | 🔍 When to Use Treemaps | 📚 See Also

Date Picker | Date Range | Integration with Cross-Tab Filtering | Requirements

📦 What is dashboardr? | 📥 Installation | 🏗️ What We'll Build | 🧱 Core Concepts | Layer 1: Content | Layer 2: Pages | Layer 3: Dashboard | ⚡ Your first Dashboard in 1 Minute | 💡 Tips | 🔧 Function Overview | The Typical Pattern | 🖼️ Community Gallery | 📚 Learn More

Community Gallery | Overview | Main Demos | Advanced Demos | Real-World Dashboards | Tabset Theme Demos | Loading Overlays | Tutorial Dashboard | Showcase Dashboard | Setting a Tabset Theme | Creating Nested Tabs | Page Sidebars | Requirements | Next Steps

📖 What You'll Learn | ⚙️ Prerequisites | 🔧 Part 1: One-Time Setup (Do This Once) | 💻 Step 1: Install Git on Your Computer | Windows | macOS | Linux | 👤 Step 2: Tell Git Who You Are | ✅ Step 3: Check Everything Works | 🌐 Step 4: Create a GitHub Account | 🔐 Step 5: Set Up Authentication | Create Your Token | Store Your Token | 🚀 Part 2: Publishing Your Dashboard | 📊 Step 1: Generate Your Dashboard | 🌍 Step 2: Publish! | Key Arguments | What happens: | ⚙️ Additional Options | 🔄 Part 3: Updating Your Dashboard | 📊 Step 1: Regenerate Your Dashboard | ⬆️ Step 2: Push Your Updates | Update Options | 📋 Complete Workflow Example | 🔧 Troubleshooting | "Error: No GitHub token" | "Error: Git is not installed" | "Repository already exists" | "Error: not a git repository" | GitHub Pages shows 404 | Data files are being committed | 💡 Tips and Best Practices | 1. Keep Data Out of Git | 2. Write Descriptive Commit Messages | 3. Test Locally First | 4. Update Regularly | 5. Check Your Site | ➡️ Next Steps

Overview | Data Preparation | Demographics & Education Tabset | Happiness by Education | Happiness by Gender | Political Attitudes Tabset | Party ID by Political Views | Trust by Region | Gender by Social Class | Social Issues Tabset | Trust by Education and Age | Trust by Region and Education | Standalone Summary Charts | Overall Happiness by Education | Overall Trust by Politics | Visualization Index | Next Steps

Overview | Data Preparation | Example 1: Stacked Bars (Demographics Tabset) | Happiness by Education | Happiness by Gender | Example 2: Heatmaps (Social Issues Tabset) | Trust by Education and Age | Trust by Region and Education | Standalone Charts (No Tabsets) | Overall Happiness by Education | Trust by Party and Political Views | Building the Complete Dashboard | Visualization Index | Next Steps

Enabling URL Parameters | URL Format | Sharing Pre-Filtered Links | Nested Tabs | Example Dashboard

Color Palettes | Named palette (category mapping) | Grouped bar with palette | Unnamed sequential palette | Tooltips | Format strings | Prefix and suffix shortcuts | Styled tooltips | Shared tooltips for grouped charts | Legends | Data Labels | Axis Labels and Formatting | Error Bars | Horizontal Bars | Sorting | Custom Category Order | Missing Values | Themes and Fonts | Chart Backends | Combining Customizations

📖 Introduction | ⚙️ Setup | 📊 Example 1: Basic Stacked Area Chart | 📈 Example 2: Line Chart with Grouping | 🗓️ Example 3: Time Binning | 🔢 Example 4: Controlling Response Order | 💡 Tips for Using the Function | 1. Check Your Data First | 2. Handle Missing Data | 3. Interactive Features | 4. Labels and Tooltips | ⚡ Advanced Features | Response Binning | Response Filtering | Combining Filters with Groups | 📁 Integration with Dashboards | Comparative Analysis with Filters | 📚 Conclusion

Migration to Unified Function | ⚙️ Getting Started | 📋 Data Preparation | 📊 Basic Multi-Question Charts | Example 1: Social Trust and Attitudes | Example 2: Percentage-Based Comparison | 🎨 Advanced Customization | Example 3: Custom Response Ordering and Mapping | Example 4: Including Missing Values | 📝 Working with Different Question Types | Example 5: Happiness and Life Satisfaction | Example 6: Combining Different Question Types | 🔬 Advanced Analysis Techniques | Example 7: Demographic Subgroup Analysis | 📋 Working with Survey Batteries | Example 9: Creating Question Batteries | 🏷️ Labels and Tooltips Reference | Summary of Label and Tooltip Options | 💡 Best Practices and Tips | Example 10: Publication-Ready Chart | ✅ Summary and Best Practices | ✅ Key Features Demonstrated | 🎯 Best Practices for Multi-Question Charts | 📚 Conclusion

📖 Introduction | 📊 Basic Bar Charts | Simple Category Counts | With Custom Labels | 📊 Grouped Bar Charts | Basic Grouping | With Custom Colors | ↔️ Horizontal vs. Vertical | Vertical Bars | Horizontal Bars (Better for Long Labels) | 🔢 Count vs. Percent | Count | Percent | 📊 Means with Error Bars | Basic Mean Chart with Error Bars | Error Bar Types | Grouped Means with Error Bars | Customizing Error Bar Appearance | 🏷️ Labels and Tooltips | Axis Labels | Tooltip Customization | 🔢 Working with Numeric Variables | Automatic Binning | Custom Binning | 🎨 Advanced Styling | Custom Ordering | Colorful Individual Bars | 🌍 Real-World Examples | Survey Response Comparison | Demographic Breakdown | 📁 Using with create_viz() | With Filters | With Tabgroups | 🔍 Comparison with Other Chart Types | When to Use Bar Charts | 💡 Tips and Best Practices | 📚 See Also

📄 What is create_page()? | 🆚 create_page() vs create_content() | 🔀 Two Workflows | Workflow 1: Simple Dashboards (Direct) | Workflow 2: Complex Dashboards (Modular) | 📄 Page Types | Landing Pages | Example: Analysis Pages | Example: Text-Only Pages | Example: Dashboard-Style Pages | ⚙️ Page Settings | Icons | Navbar Alignment | Page-Level Defaults | Loading Overlays | Overlay Themes | Overlay Options | 📑 Pagination | 👁️ Previewing Pages | 📊 Data Inheritance | ➡️ Next Steps

📦 What the Dashboard Object Does | 🏗️ Creating Dashboards | Basic Creation | Key Parameters | Adding Pages | ⚙️ Generating Output | Basic Generation | Generation Options | Development Workflow | 🎨 Themes | Built-in Quarto Themes | Custom Themes with apply_theme() | Customizing Themes | 🧭 Navbar Styling | Basic Navbar Colors | Light vs Dark Navbar | 📑 Tab Styling | Tab Themes | 🔀 Navigation Features | Enhanced Navigation | Dropdown Menus & Sidebar | 🔗 Social Links | 🚀 Publishing | Metadata | Analytics | 📋 Complete Example | 📚 Related Vignettes

📖 Introduction | ⚙️ Getting Started | 📋 Data Preparation | 📊 Basic Heatmap Examples | Example 1: Average Age by Education and Gender | Example 2: Income Distribution with Custom Ordering | ⚡ Advanced Heatmap Features | Example 3: Including Missing Values | Example 4: Regional Analysis with Custom Colors | 🏷️ Labels and Tooltips Reference | 💡 Summary and Best Practices | ✅ Key Features Demonstrated | 🎯 Best Practices for Heatmaps | 📚 Conclusion

📖 Introduction | ⚙️ Getting Started | 📋 Data Preparation | 📊 Basic Stacked Bar Charts | Example 1: Education by Gender (Count-based) | Example 2: Happiness Distribution (Percentage-based) | ⚡ Advanced Features | Example 3: Age Binning with Political Views | Example 4: Including Missing Values | Example 5: Custom Value Mapping | 🔬 Complex Analysis Examples | Example 6: Regional Patterns in Trust | 📊 Multi-Variable Mode: Comparing Survey Questions | Example 7: Basic Multi-Variable Comparison | Example 8: Multi-Variable with Response Mapping | Example 9: Single Variable with x_vars (Compact Display) | Example 9b: Horizontal Multi-Variable Chart | Example 10: Survey Battery Analysis | Example 11: Publication-Ready Chart | 🏷️ Labels and Tooltips Reference | Summary of Label and Tooltip Options | When to Use Each Mode | 💡 Summary and Best Practices | ✅ Key Features Demonstrated | 🎯 Best Practices for Stacked Bar Charts | General Guidelines | Multi-Variable Mode Best Practices | 🌍 Common Use Cases | 📚 Conclusion

Accessing Google Transparency Data | Time-Based Analysis | Understanding the Metrics

Overview | Installation | Basic Usage

Accessing Historical Data | Understanding Historical Data | Getting Report Data

Overview of Targeting Metadata | Basic Usage | Understanding the Output | Using Metadata for Data Validation

Getting Recent Targeting Data | Understanding the Output | Getting Page Information