Question 1

How do I install dygraphs with NPM without errors?

Accepted Answer

Use `npm install dygraphs` with the official package from the registry, not directly from GitHub. The README states that building from source fails, so pre-built files in the dist folder are provided via tarball installs.

Question 2

Dygraphs vs Chart.js for time series charts?

Accepted Answer

Dygraphs is specialized for time series with features like error bands and adjustable averaging, offering better performance for large datasets via canvas. Chart.js supports more chart types but may be less optimized for heavy time series interactivity.

Question 3

How to customize the look of dygraphs charts?

Accepted Answer

Dygraphs offers extensive customization through options in the configuration object. You can adjust colors, axes, legends, and more by setting parameters as shown in the minimal example and linked options documentation.

Question 4

Can dygraphs handle real-time data updates?

Accepted Answer

Yes, dygraphs supports dynamic data updates through its API methods. You can update data series and redraw the chart, making it suitable for live dashboards, though you'll need to manage the updates manually.

Question 5

Is dygraphs compatible with React or Vue?

Accepted Answer

Dygraphs is a vanilla JavaScript library and can be integrated into any framework, but it doesn't provide native bindings. You'll need to handle DOM mounting and lifecycle events yourself or use community wrappers.

Question 6

How do I add error bands to a dygraphs chart?

Accepted Answer

Error bands are implemented by including error data in the input series. The README links to examples demonstrating how to specify confidence intervals using the error bands feature for visualizations like scientific data.

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