Learn OBSERVABLEHQ with Real Code Examples

Visualize stock market trends with line charts

Create interactive maps with geographic data

Animate data over time with reactive cells

Combine multiple charts into dashboards

Embed notebook visualizations into web pages

Check console for JavaScript errors

Ensure reactive dependencies are correctly referenced

Verify data URLs are accessible

Simplify complex cells to debug incrementally

Refer to ObservableHQ documentation and examples

Run each cell to verify computation

Check reactive outputs propagate correctly

Validate visualizations with sample datasets

Inspect console for errors or warnings

Iterate and modify cells incrementally

Publish notebooks publicly on ObservableHQ

Embed notebooks into websites or blogs

Share private notebooks with collaborators

Export code snippets for integration elsewhere

Use notebooks as teaching or presentation material

ObservableHQ web platform

Interactive JavaScript/TypeScript editor

Reactive visualization libraries (D3.js, Plot, Vega)

Notebook sharing, forking, and publishing tools

Community notebooks and example gallery

JavaScript and TypeScript libraries via URL imports

Data sources via CSV, JSON, APIs, and Google Sheets

Embeddable visualizations for websites

GitHub integration for version control

Optional integration with Jupyter and other notebooks

Use reactive cells to simplify updates

Leverage community notebooks for inspiration

Modularize code for readability

Use Plot and D3 libraries for fast visualization

Embed visualizations into blogs or reports

Understanding reactive programming model

Debugging complex cell dependencies

Optimizing performance for large datasets

Creating advanced interactive visualizations

Transitioning skills to full web apps