compassql
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CompassQL visualization query language
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HTML
<html>
<body>
From the following query for automatically selecting a mark:
<div><pre id='query'></pre></div>
we get the following Vega-Lite spec:
(See this file's source code for steps to reproduce this!)
<div><pre id='spec'></pre></div>
<script src="./node_modules/d3/build/d3.min.js"></script>
<script src="./build/compassql.js"/></script>
<script>
d3.json('node_modules/vega-datasets/data/cars.json', function(error, data) {
// 1) Specify a query config
var opt = {};
// 2) Build a data schema.
var schema = cql.schema.build(data, opt);
// 3) Specify a Query (e.g., a query for automatically selecting a mark)
var query = {
"spec": {
"data": {"url": "node_modules/vega-datasets/data/cars.json"},
"mark": "?",
"encodings": [
{
"channel": "x",
"aggregate": "mean",
"field": "Horsepower",
"type": "quantitative"
},{
"channel": "y",
"field": "Cylinders",
"type": "ordinal"
}
]
},
"chooseBy": "effectiveness"
};
// 4) Execute a CompassQL `query`.
var output = cql.recommend(query, schema, opt);
var result = output.result;
// 5) Convert the result tree of SpecQueryModel into a tree of Vega-Lite specifications.
var vlTree = cql.result.mapLeaves(result, function(item) {
return item.toSpec();
});
// 6) Use the result. In this case, the tree has only 2 levels (the root and leaves).
// We can just get the top visualization by accessing the 0-th item.
var topVlSpec = vlTree.items[0];
document.querySelector('#query').innerHTML = JSON.stringify(query, null, 2);
document.querySelector('#spec').innerHTML = JSON.stringify(topVlSpec, null, 2);
});
</script>
</body>
</html>