Question 1

How do I install d3-sparql without using npm?

Accepted Answer

You can use a CDN like jsDelivr by including the script directly in your HTML, as mentioned in the README under the Installing section. This avoids Node.js dependencies for simple web projects.

Question 2

Can d3-sparql handle queries to private SPARQL endpoints?

Accepted Answer

Yes, you can pass custom options to the fetch request for authentication headers, but CORS must be enabled on the endpoint. The library merges options with fetch(), but cross-domain issues may require server-side proxying.

Question 3

What's the difference between d3-sparql and using fetch() directly for SPARQL?

Accepted Answer

d3-sparql automatically handles data type conversion and JSON reformatting for D3.js, whereas fetch() requires manual parsing of SPARQL results and type handling, making it more cumbersome for visualization workflows.

Question 4

How to handle errors when a SPARQL endpoint fails in d3-sparql?

Accepted Answer

Since d3.sparql returns a Promise, use .catch() to manage network errors, but endpoint-specific issues like malformed queries need to be checked in the response data, as the library doesn't provide built-in error handling beyond fetch.

Question 5

Is d3-sparql compatible with D3.js version 7 or newer?

Accepted Answer

The library is designed for D3.js but doesn't specify version compatibility in the README. It likely works with modern versions, but testing is recommended as D3.js APIs evolve.

Question 6

Can I use d3-sparql for data processing without D3.js?

Accepted Answer

Yes, the JSON output can be used with any JavaScript code, not just D3.js, making it versatile for tasks like data analysis or feeding into other libraries, as stated in the description.

d3-sparql

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