Data Visualization Template

This template helps you create effective, interactive data visualizations that communicate insights clearly and enable data-driven decision making. It covers chart selection, design principles, and implementation strategies.

Sample Prompt

Create a sales dashboard with data visualizations:
- Revenue trends over time with interactive time range selection
- Geographic sales distribution with heat maps
- Product performance comparison with bar charts
- Customer segmentation with scatter plots and filters
- Real-time updates and responsive design
- Export capabilities for reports and presentations

What This Template Covers

Chart type selection based on data types and communication goals
Interactive features including filtering, zooming, and drill-down capabilities
Design principles for clarity, accessibility, and visual appeal
Performance optimization for large datasets and real-time updates
Responsive design for multiple device types and screen sizes
Data integration with APIs, databases, and file formats

Best Practices

Choose appropriate chart types that match your data and message
Keep visualizations simple and focused on key insights
Use consistent color schemes and design patterns across dashboards
Ensure accessibility with proper contrast, labels, and alternative text
Optimize performance for large datasets with data sampling and aggregation
Provide context with titles, labels, and explanatory text
Enable interactivity to allow users to explore data independently
Test with real users to validate usability and effectiveness

When to Use This Template

Creating business intelligence dashboards and reports
Building analytics interfaces for web applications
Developing data exploration tools for analysts
Presenting research findings and insights
Implementing real-time monitoring and alerting visualizations

The Script

peep data-visualization