jsonld-vis
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Turns JSON-LD into pretty graphs
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[](https://github.com/prettier/prettier)
Turn JSON-LD into pretty graphs.



See the `examples/` folder for usage details.
Import `jsonld-vis.js` and `jsonld-vis.css`. The CSS may look better if 'Open Sans' is available as
a font (but it will work without it).
To initialize, simply load data into the exported `jsonldVis` function:
```js
import d3 from 'd3';
import jsonldVis from 'jsonld-vis';
jsonldVis(d3);
d3.json('example.json', (err, data) => {
if (err) return console.warn(err);
d3.jsonldVis(data, '#graph', { w: 800, h: 600, maxLabelWidth: 250 });
});
```
Where the optional `config` variable is as follows:
```js
{
h: 600, // height
w: 800, // width
maxLabelWidth: 250, // maximum label width
transitionDuration: 750, // transition duration, in ms
transitionEase: 'cubic-in-out', // transition easing function
minRadius: 5 // minimum node radius
scalingFactor: 2 // factor to scale node sizes
}
```
Specifying the width is just for initialization purposes. The width of the svg element will
dynamically be adjusted as necessary. For horizontal auto-scrolling, the specified `querySelector`
must have horizontal scroll enabled:
```css
query-selector {
overflow-x: autho;
}
```
For large data, it may be necessary to adjust the scaling so that node sizes still look reasonable.
The `scalingFactor` allows adjustment of this - larger values of `scalingFactor` will reduce the
maximum node size.
Labels that are longer than maximum label width are truncated; hover over the node to see the full
label:


[](https://github.com/scienceai/jsonld-vis/blob/master/LICENSE)